{
"version": "2.0",
"service": "
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. DynamoDB lets you offload the administrative burdens of operating and scaling a distributed database, so that you don't have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling.
With DynamoDB, you can create database tables that can store and retrieve any amount of data, and serve any level of request traffic. You can scale up or scale down your tables' throughput capacity without downtime or performance degradation, and use the AWS Management Console to monitor resource utilization and performance metrics.
DynamoDB automatically spreads the data and traffic for your tables over a sufficient number of servers to handle your throughput and storage requirements, while maintaining consistent and fast performance. All of your data is stored on solid state disks (SSDs) and automatically replicated across multiple Availability Zones in an AWS region, providing built-in high availability and data durability.
", "operations": { "BatchGetItem": "The BatchGetItem
operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.
A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem
will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys
. You can use this value to retry the operation starting with the next item to get.
If you request more than 100 items BatchGetItem
will return a ValidationException
with the message \"Too many items requested for the BatchGetItem call\".
For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys
value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.
If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem
will return a ProvisionedThroughputExceededException
. If at least one of the items is successfully processed, then BatchGetItem
completes successfully, while returning the keys of the unread items in UnprocessedKeys
.
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.
By default, BatchGetItem
performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead
to true
for any or all tables.
In order to minimize response latency, BatchGetItem
retrieves items in parallel.
When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the ProjectionExpression
parameter.
If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide.
", "BatchWriteItem": "The BatchWriteItem
operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem
can write up to 16 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 400 KB.
BatchWriteItem
cannot update items. To update items, use the UpdateItem
action.
The individual PutItem
and DeleteItem
operations specified in BatchWriteItem
are atomic; however BatchWriteItem
as a whole is not. If any requested operations fail because the table's provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in the UnprocessedItems
response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem
in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem
request with those unprocessed items until all items have been processed.
Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem
will return a ProvisionedThroughputExceededException
.
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.
With BatchWriteItem
, you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations, BatchWriteItem
does not behave in the same way as individual PutItem
and DeleteItem
calls would. For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem
does not return deleted items in the response.
If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don't support threading, you must update or delete the specified items one at a time. In both situations, BatchWriteItem
performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.
Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.
If one or more of the following is true, DynamoDB rejects the entire batch write operation:
One or more tables specified in the BatchWriteItem
request does not exist.
Primary key attributes specified on an item in the request do not match those in the corresponding table's primary key schema.
You try to perform multiple operations on the same item in the same BatchWriteItem
request. For example, you cannot put and delete the same item in the same BatchWriteItem
request.
There are more than 25 requests in the batch.
Any individual item in a batch exceeds 400 KB.
The total request size exceeds 16 MB.
Creates a backup for an existing table.
Each time you create an On-Demand Backup, the entire table data is backed up. There is no limit to the number of on-demand backups that can be taken.
You can call CreateBackup
at a maximum rate of 50 times per second.
All backups in DynamoDB work without consuming any provisioned throughput on the table. This results in a fast, low-cost, and scalable backup process. In general, the larger the table, the more time it takes to back up. The backup is stored in an S3 data store that is maintained and managed by DynamoDB.
Backups incorporate all writes (delete, put, update) that were completed within the last minute before the backup request was initiated. Backups might include some writes (delete, put, update) that were completed before the backup request was finished.
For example, if you submit the backup request on 2018-12-14 at 14:25:00, the backup is guaranteed to contain all data committed to the table up to 14:24:00, and data committed after 14:26:00 will not be. The backup may or may not contain data modifications made between 14:24:00 and 14:26:00. On-Demand Backup does not support causal consistency.
Along with data, the following are also included on the backups:
Global secondary indexes (GSIs)
Local secondary indexes (LSIs)
Streams
Provisioned read and write capacity
Creates a global table from an existing table. A global table creates a replication relationship between two or more DynamoDB tables with the same table name in the provided regions.
Tables can only be added as the replicas of a global table group under the following conditions:
The tables must have the same name.
The tables must contain no items.
The tables must have the same hash key and sort key (if present).
The tables must have DynamoDB Streams enabled (NEW_AND_OLD_IMAGES).
The CreateTable
operation adds a new table to your account. In an AWS account, table names must be unique within each region. That is, you can have two tables with same name if you create the tables in different regions.
CreateTable
is an asynchronous operation. Upon receiving a CreateTable
request, DynamoDB immediately returns a response with a TableStatus
of CREATING
. After the table is created, DynamoDB sets the TableStatus
to ACTIVE
. You can perform read and write operations only on an ACTIVE
table.
You can optionally define secondary indexes on the new table, as part of the CreateTable
operation. If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially. Only one table with secondary indexes can be in the CREATING
state at any given time.
You can use the DescribeTable
action to check the table status.
Deletes an existing backup of a table.
You can call DeleteBackup
at a maximum rate of 10 times per second.
Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.
In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues
parameter.
Unless you specify conditions, the DeleteItem
is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.
Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.
", "DeleteTable": "The DeleteTable
operation deletes a table and all of its items. After a DeleteTable
request, the specified table is in the DELETING
state until DynamoDB completes the deletion. If the table is in the ACTIVE
state, you can delete it. If a table is in CREATING
or UPDATING
states, then DynamoDB returns a ResourceInUseException
. If the specified table does not exist, DynamoDB returns a ResourceNotFoundException
. If table is already in the DELETING
state, no error is returned.
DynamoDB might continue to accept data read and write operations, such as GetItem
and PutItem
, on a table in the DELETING
state until the table deletion is complete.
When you delete a table, any indexes on that table are also deleted.
If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the DISABLED
state, and the stream is automatically deleted after 24 hours.
Use the DescribeTable
action to check the status of the table.
Describes an existing backup of a table.
You can call DescribeBackup
at a maximum rate of 10 times per second.
Checks the status of the backup restore settings on the specified table. If backups are enabled, ContinuousBackupsStatus
will bet set to ENABLED.
You can call DescribeContinuousBackups
at a maximum rate of 10 times per second.
Returns information about the global table.
", "DescribeLimits": "Returns the current provisioned-capacity limits for your AWS account in a region, both for the region as a whole and for any one DynamoDB table that you create there.
When you establish an AWS account, the account has initial limits on the maximum read capacity units and write capacity units that you can provision across all of your DynamoDB tables in a given region. Also, there are per-table limits that apply when you create a table there. For more information, see Limits page in the Amazon DynamoDB Developer Guide.
Although you can increase these limits by filing a case at AWS Support Center, obtaining the increase is not instantaneous. The DescribeLimits
action lets you write code to compare the capacity you are currently using to those limits imposed by your account so that you have enough time to apply for an increase before you hit a limit.
For example, you could use one of the AWS SDKs to do the following:
Call DescribeLimits
for a particular region to obtain your current account limits on provisioned capacity there.
Create a variable to hold the aggregate read capacity units provisioned for all your tables in that region, and one to hold the aggregate write capacity units. Zero them both.
Call ListTables
to obtain a list of all your DynamoDB tables.
For each table name listed by ListTables
, do the following:
Call DescribeTable
with the table name.
Use the data returned by DescribeTable
to add the read capacity units and write capacity units provisioned for the table itself to your variables.
If the table has one or more global secondary indexes (GSIs), loop over these GSIs and add their provisioned capacity values to your variables as well.
Report the account limits for that region returned by DescribeLimits
, along with the total current provisioned capacity levels you have calculated.
This will let you see whether you are getting close to your account-level limits.
The per-table limits apply only when you are creating a new table. They restrict the sum of the provisioned capacity of the new table itself and all its global secondary indexes.
For existing tables and their GSIs, DynamoDB will not let you increase provisioned capacity extremely rapidly, but the only upper limit that applies is that the aggregate provisioned capacity over all your tables and GSIs cannot exceed either of the per-account limits.
DescribeLimits
should only be called periodically. You can expect throttling errors if you call it more than once in a minute.
The DescribeLimits
Request element has no content.
Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.
If you issue a DescribeTable
request immediately after a CreateTable
request, DynamoDB might return a ResourceNotFoundException
. This is because DescribeTable
uses an eventually consistent query, and the metadata for your table might not be available at that moment. Wait for a few seconds, and then try the DescribeTable
request again.
Gives a description of the Time to Live (TTL) status on the specified table.
", "GetItem": "The GetItem
operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem
does not return any data and there will be no Item
element in the response.
GetItem
provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead
to true
. Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.
List backups associated with an AWS account. To list backups for a given table, specify TableName
. ListBackups
returns a paginated list of results with at most 1MB worth of items in a page. You can also specify a limit for the maximum number of entries to be returned in a page.
In the request, start time is inclusive but end time is exclusive. Note that these limits are for the time at which the original backup was requested.
You can call ListBackups
a maximum of 5 times per second.
Lists all the global tables. Only those global tables that have replicas in the region specified as input are returned.
", "ListTables": "Returns an array of table names associated with the current account and endpoint. The output from ListTables
is paginated, with each page returning a maximum of 100 table names.
List all tags on an Amazon DynamoDB resource. You can call ListTagsOfResource up to 10 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
", "PutItem": "Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values. You can return the item's attribute values in the same operation, using the ReturnValues
parameter.
This topic provides general information about the PutItem
API.
For information on how to call the PutItem
API using the AWS SDK in specific languages, see the following:
When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException
exception.
To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists
function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists
function will only succeed if no matching item exists.
For more information about PutItem
, see Working with Items in the Amazon DynamoDB Developer Guide.
The Query
operation finds items based on primary key values. You can query any table or secondary index that has a composite primary key (a partition key and a sort key).
Use the KeyConditionExpression
parameter to provide a specific value for the partition key. The Query
operation will return all of the items from the table or index with that partition key value. You can optionally narrow the scope of the Query
operation by specifying a sort key value and a comparison operator in KeyConditionExpression
. To further refine the Query
results, you can optionally provide a FilterExpression
. A FilterExpression
determines which items within the results should be returned to you. All of the other results are discarded.
A Query
operation always returns a result set. If no matching items are found, the result set will be empty. Queries that do not return results consume the minimum number of read capacity units for that type of read operation.
DynamoDB calculates the number of read capacity units consumed based on item size, not on the amount of data that is returned to an application. The number of capacity units consumed will be the same whether you request all of the attributes (the default behavior) or just some of them (using a projection expression). The number will also be the same whether or not you use a FilterExpression
.
Query
results are always sorted by the sort key value. If the data type of the sort key is Number, the results are returned in numeric order; otherwise, the results are returned in order of UTF-8 bytes. By default, the sort order is ascending. To reverse the order, set the ScanIndexForward
parameter to false.
A single Query
operation will read up to the maximum number of items set (if using the Limit
parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression
. If LastEvaluatedKey
is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide.
FilterExpression
is applied after a Query
finishes, but before the results are returned. A FilterExpression
cannot contain partition key or sort key attributes. You need to specify those attributes in the KeyConditionExpression
.
A Query
operation can return an empty result set and a LastEvaluatedKey
if all the items read for the page of results are filtered out.
You can query a table, a local secondary index, or a global secondary index. For a query on a table or on a local secondary index, you can set the ConsistentRead
parameter to true
and obtain a strongly consistent result. Global secondary indexes support eventually consistent reads only, so do not specify ConsistentRead
when querying a global secondary index.
Creates a new table from an existing backup. Any number of users can execute up to 10 concurrent restores in a given account.
You can call RestoreTableFromBackup
at a maximum rate of 10 times per second.
You must manually set up the following on the restored table:
Auto scaling policies
IAM policies
Cloudwatch metrics and alarms
Tags
Time to Live (TTL) settings
The Scan
operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a FilterExpression
operation.
If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey
value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.
A single Scan
operation will read up to the maximum number of items set (if using the Limit
parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression
. If LastEvaluatedKey
is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide.
Scan
operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan
operation by providing the Segment
and TotalSegments
parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.
Scan
uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan
begins, you can set the ConsistentRead
parameter to true
.
Associate a set of tags with an Amazon DynamoDB resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking. You can call TagResource up to 5 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
", "UntagResource": "Removes the association of tags from an Amazon DynamoDB resource. You can call UntagResource up to 5 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
", "UpdateGlobalTable": "Adds or removes replicas to the specified global table. The global table should already exist to be able to use this operation. Currently, the replica to be added should be empty.
", "UpdateItem": "Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).
You can also return the item's attribute values in the same UpdateItem
operation using the ReturnValues
parameter.
Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.
You can only perform one of the following operations at once:
Modify the provisioned throughput settings of the table.
Enable or disable Streams on the table.
Remove a global secondary index from the table.
Create a new global secondary index on the table. Once the index begins backfilling, you can use UpdateTable
to perform other operations.
UpdateTable
is an asynchronous operation; while it is executing, the table status changes from ACTIVE
to UPDATING
. While it is UPDATING
, you cannot issue another UpdateTable
request. When the table returns to the ACTIVE
state, the UpdateTable
operation is complete.
The UpdateTimeToLive method will enable or disable TTL for the specified table. A successful UpdateTimeToLive
call returns the current TimeToLiveSpecification
; it may take up to one hour for the change to fully process. Any additional UpdateTimeToLive
calls for the same table during this one hour duration result in a ValidationException
.
TTL compares the current time in epoch time format to the time stored in the TTL attribute of an item. If the epoch time value stored in the attribute is less than the current time, the item is marked as expired and subsequently deleted.
The epoch time format is the number of seconds elapsed since 12:00:00 AM January 1st, 1970 UTC.
DynamoDB deletes expired items on a best-effort basis to ensure availability of throughput for other data operations.
DynamoDB typically deletes expired items within two days of expiration. The exact duration within which an item gets deleted after expiration is specific to the nature of the workload. Items that have expired and not been deleted will still show up in reads, queries, and scans.
As items are deleted, they are removed from any Local Secondary Index and Global Secondary Index immediately in the same eventually consistent way as a standard delete operation.
For more information, see Time To Live in the Amazon DynamoDB Developer Guide.
" }, "shapes": { "AttributeAction": { "base": null, "refs": { "AttributeValueUpdate$Action": "Specifies how to perform the update. Valid values are PUT
(default), DELETE
, and ADD
. The behavior depends on whether the specified primary key already exists in the table.
If an item with the specified Key is found in the table:
PUT
- Adds the specified attribute to the item. If the attribute already exists, it is replaced by the new value.
DELETE
- If no value is specified, the attribute and its value are removed from the item. The data type of the specified value must match the existing value's data type.
If a set of values is specified, then those values are subtracted from the old set. For example, if the attribute value was the set [a,b,c]
and the DELETE
action specified [a,c]
, then the final attribute value would be [b]
. Specifying an empty set is an error.
ADD
- If the attribute does not already exist, then the attribute and its values are added to the item. If the attribute does exist, then the behavior of ADD
depends on the data type of the attribute:
If the existing attribute is a number, and if Value
is also a number, then the Value
is mathematically added to the existing attribute. If Value
is a negative number, then it is subtracted from the existing attribute.
If you use ADD
to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value.
In addition, if you use ADD
to update an existing item, and intend to increment or decrement an attribute value which does not yet exist, DynamoDB uses 0
as the initial value. For example, suppose that the item you want to update does not yet have an attribute named itemcount, but you decide to ADD
the number 3
to this attribute anyway, even though it currently does not exist. DynamoDB will create the itemcount attribute, set its initial value to 0
, and finally add 3
to it. The result will be a new itemcount attribute in the item, with a value of 3
.
If the existing data type is a set, and if the Value
is also a set, then the Value
is added to the existing set. (This is a set operation, not mathematical addition.) For example, if the attribute value was the set [1,2]
, and the ADD
action specified [3]
, then the final attribute value would be [1,2,3]
. An error occurs if an Add action is specified for a set attribute and the attribute type specified does not match the existing set type.
Both sets must have the same primitive data type. For example, if the existing data type is a set of strings, the Value
must also be a set of strings. The same holds true for number sets and binary sets.
This action is only valid for an existing attribute whose data type is number or is a set. Do not use ADD
for any other data types.
If no item with the specified Key is found:
PUT
- DynamoDB creates a new item with the specified primary key, and then adds the attribute.
DELETE
- Nothing happens; there is no attribute to delete.
ADD
- DynamoDB creates an item with the supplied primary key and number (or set of numbers) for the attribute value. The only data types allowed are number and number set; no other data types can be specified.
Represents an attribute for describing the key schema for the table and indexes.
", "refs": { "AttributeDefinitions$member": null } }, "AttributeDefinitions": { "base": null, "refs": { "CreateTableInput$AttributeDefinitions": "An array of attributes that describe the key schema for the table and indexes.
", "TableDescription$AttributeDefinitions": "An array of AttributeDefinition
objects. Each of these objects describes one attribute in the table and index key schema.
Each AttributeDefinition
object in this array is composed of:
AttributeName
- The name of the attribute.
AttributeType
- The data type for the attribute.
An array of attributes that describe the key schema for the table and indexes. If you are adding a new global secondary index to the table, AttributeDefinitions
must include the key element(s) of the new index.
A map of attribute names to AttributeValue
objects, representing the item as it appeared before the DeleteItem
operation. This map appears in the response only if ReturnValues
was specified as ALL_OLD
in the request.
A map of attribute names to AttributeValue
objects, as specified by ProjectionExpression
.
The attribute values as they appeared before the PutItem
operation, but only if ReturnValues
is specified as ALL_OLD
in the request. Each element consists of an attribute name and an attribute value.
A map of attribute values as they appear before or after the UpdateItem
operation, as determined by the ReturnValues
parameter.
The Attributes
map is only present if ReturnValues
was specified as something other than NONE
in the request. Each element represents one attribute.
This is a legacy parameter. Use ProjectionExpression
instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use ProjectionExpression
instead. For more information, see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use ProjectionExpression
instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use ProjectionExpression
instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use UpdateExpression
instead. For more information, see AttributeUpdates in the Amazon DynamoDB Developer Guide.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
", "refs": { "AttributeMap$value": null, "AttributeValueList$member": null, "AttributeValueUpdate$Value": "Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data TYpes in the Amazon DynamoDB Developer Guide.
", "ExpectedAttributeValue$Value": "Represents the data for the expected attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
", "ExpressionAttributeValueMap$value": null, "ItemCollectionKeyAttributeMap$value": null, "Key$value": null, "ListAttributeValue$member": null, "MapAttributeValue$value": null, "PutItemInputAttributeMap$value": null } }, "AttributeValueList": { "base": null, "refs": { "Condition$AttributeValueList": "One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator
being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a
is greater than A
, and a
is greater than B
. For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters.
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
", "ExpectedAttributeValue$AttributeValueList": "One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator
being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a
is greater than A
, and a
is greater than B
. For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters.
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide.
" } }, "AttributeValueUpdate": { "base": "For the UpdateItem
operation, represents the attributes to be modified, the action to perform on each, and the new value for each.
You cannot use UpdateItem
to update any primary key attributes. Instead, you will need to delete the item, and then use PutItem
to create a new item with new attributes.
Attribute values cannot be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests with empty values will be rejected with a ValidationException
exception.
Indicates whether the index is currently backfilling. Backfilling is the process of reading items from the table and determining whether they can be added to the index. (Not all items will qualify: For example, a partition key cannot have any duplicate values.) If an item can be added to the index, DynamoDB will do so. After all items have been processed, the backfilling operation is complete and Backfilling
is false.
For indexes that were created during a CreateTable
operation, the Backfilling
attribute does not appear in the DescribeTable
output.
ARN associated with the backup.
", "BackupSummary$BackupArn": "ARN associated with the backup.
", "DeleteBackupInput$BackupArn": "The ARN associated with the backup.
", "DescribeBackupInput$BackupArn": "The ARN associated with the backup.
", "ListBackupsInput$ExclusiveStartBackupArn": " LastEvaluatedBackupARN
returned by the previous ListBackups call.
Last evaluated BackupARN.
", "RestoreSummary$SourceBackupArn": "ARN of the backup from which the table was restored.
", "RestoreTableFromBackupInput$BackupArn": "The ARN associated with the backup.
" } }, "BackupCreationDateTime": { "base": null, "refs": { "BackupDetails$BackupCreationDateTime": "Time at which the backup was created. This is the request time of the backup.
", "BackupSummary$BackupCreationDateTime": "Time at which the backup was created.
" } }, "BackupDescription": { "base": "Contains the description of the backup created for the table.
", "refs": { "DeleteBackupOutput$BackupDescription": "Contains the description of the backup created for the table.
", "DescribeBackupOutput$BackupDescription": "Contains the description of the backup created for the table.
" } }, "BackupDetails": { "base": "Contains the details of the backup created for the table.
", "refs": { "BackupDescription$BackupDetails": "Contains the details of the backup created for the table.
", "CreateBackupOutput$BackupDetails": "Contains the details of the backup created for the table.
" } }, "BackupInUseException": { "base": "There is another ongoing conflicting backup control plane operation on the table. The backups is either being created, deleted or restored to a table.
", "refs": { } }, "BackupName": { "base": null, "refs": { "BackupDetails$BackupName": "Name of the requested backup.
", "BackupSummary$BackupName": "Name of the specified backup.
", "CreateBackupInput$BackupName": "Specified name for the backup.
" } }, "BackupNotFoundException": { "base": "Backup not found for the given BackupARN.
", "refs": { } }, "BackupSizeBytes": { "base": null, "refs": { "BackupDetails$BackupSizeBytes": "Size of the backup in bytes.
", "BackupSummary$BackupSizeBytes": "Size of the backup in bytes.
" } }, "BackupStatus": { "base": null, "refs": { "BackupDetails$BackupStatus": "Backup can be in one of the following states: CREATING, ACTIVE, DELETED.
", "BackupSummary$BackupStatus": "Backup can be in one of the following states: CREATING, ACTIVE, DELETED.
" } }, "BackupSummaries": { "base": null, "refs": { "ListBackupsOutput$BackupSummaries": "List of BackupSummary
objects.
Contains details for the backup.
", "refs": { "BackupSummaries$member": null } }, "BackupsInputLimit": { "base": null, "refs": { "ListBackupsInput$Limit": "Maximum number of backups to return at once.
" } }, "BatchGetItemInput": { "base": "Represents the input of a BatchGetItem
operation.
Represents the output of a BatchGetItem
operation.
A map of one or more table names and, for each table, a map that describes one or more items to retrieve from that table. Each table name can be used only once per BatchGetItem
request.
Each element in the map of items to retrieve consists of the following:
ConsistentRead
- If true
, a strongly consistent read is used; if false
(the default), an eventually consistent read is used.
ExpressionAttributeNames
- One or more substitution tokens for attribute names in the ProjectionExpression
parameter. The following are some use cases for using ExpressionAttributeNames
:
To access an attribute whose name conflicts with a DynamoDB reserved word.
To create a placeholder for repeating occurrences of an attribute name in an expression.
To prevent special characters in an attribute name from being misinterpreted in an expression.
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames
:
{\"#P\":\"Percentile\"}
You could then use this substitution in an expression, as in this example:
#P = :val
Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
Keys
- An array of primary key attribute values that define specific items in the table. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key value. For a composite key, you must provide both the partition key value and the sort key value.
ProjectionExpression
- A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
AttributesToGet
- This is a legacy parameter. Use ProjectionExpression
instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide.
A map of tables and their respective keys that were not processed with the current response. The UnprocessedKeys
value is in the same form as RequestItems
, so the value can be provided directly to a subsequent BatchGetItem
operation. For more information, see RequestItems
in the Request Parameters section.
Each element consists of:
Keys
- An array of primary key attribute values that define specific items in the table.
ProjectionExpression
- One or more attributes to be retrieved from the table or index. By default, all attributes are returned. If a requested attribute is not found, it does not appear in the result.
ConsistentRead
- The consistency of a read operation. If set to true
, then a strongly consistent read is used; otherwise, an eventually consistent read is used.
If there are no unprocessed keys remaining, the response contains an empty UnprocessedKeys
map.
A map of table name to a list of items. Each object in Responses
consists of a table name, along with a map of attribute data consisting of the data type and attribute value.
Represents the input of a BatchWriteItem
operation.
Represents the output of a BatchWriteItem
operation.
A map of one or more table names and, for each table, a list of operations to be performed (DeleteRequest
or PutRequest
). Each element in the map consists of the following:
DeleteRequest
- Perform a DeleteItem
operation on the specified item. The item to be deleted is identified by a Key
subelement:
Key
- A map of primary key attribute values that uniquely identify the item. Each entry in this map consists of an attribute name and an attribute value. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
PutRequest
- Perform a PutItem
operation on the specified item. The item to be put is identified by an Item
subelement:
Item
- A map of attributes and their values. Each entry in this map consists of an attribute name and an attribute value. Attribute values must not be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests that contain empty values will be rejected with a ValidationException
exception.
If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
A map of tables and requests against those tables that were not processed. The UnprocessedItems
value is in the same form as RequestItems
, so you can provide this value directly to a subsequent BatchGetItem
operation. For more information, see RequestItems
in the Request Parameters section.
Each UnprocessedItems
entry consists of a table name and, for that table, a list of operations to perform (DeleteRequest
or PutRequest
).
DeleteRequest
- Perform a DeleteItem
operation on the specified item. The item to be deleted is identified by a Key
subelement:
Key
- A map of primary key attribute values that uniquely identify the item. Each entry in this map consists of an attribute name and an attribute value.
PutRequest
- Perform a PutItem
operation on the specified item. The item to be put is identified by an Item
subelement:
Item
- A map of attributes and their values. Each entry in this map consists of an attribute name and an attribute value. Attribute values must not be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests that contain empty values will be rejected with a ValidationException
exception.
If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
If there are no unprocessed items remaining, the response contains an empty UnprocessedItems
map.
An attribute of type Binary. For example:
\"B\": \"dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk\"
An attribute of type Binary Set. For example:
\"BS\": [\"U3Vubnk=\", \"UmFpbnk=\", \"U25vd3k=\"]
An attribute of type Boolean. For example:
\"BOOL\": true
Causes DynamoDB to evaluate the value before attempting a conditional operation:
If Exists
is true
, DynamoDB will check to see if that attribute value already exists in the table. If it is found, then the operation succeeds. If it is not found, the operation fails with a ConditionalCheckFailedException
.
If Exists
is false
, DynamoDB assumes that the attribute value does not exist in the table. If in fact the value does not exist, then the assumption is valid and the operation succeeds. If the value is found, despite the assumption that it does not exist, the operation fails with a ConditionalCheckFailedException
.
The default setting for Exists
is true
. If you supply a Value
all by itself, DynamoDB assumes the attribute exists: You don't have to set Exists
to true
, because it is implied.
DynamoDB returns a ValidationException
if:
Exists
is true
but there is no Value
to check. (You expect a value to exist, but don't specify what that value is.)
Exists
is false
but you also provide a Value
. (You cannot expect an attribute to have a value, while also expecting it not to exist.)
Specifies the order for index traversal: If true
(default), the traversal is performed in ascending order; if false
, the traversal is performed in descending order.
Items with the same partition key value are stored in sorted order by sort key. If the sort key data type is Number, the results are stored in numeric order. For type String, the results are stored in order of ASCII character code values. For type Binary, DynamoDB treats each byte of the binary data as unsigned.
If ScanIndexForward
is true
, DynamoDB returns the results in the order in which they are stored (by sort key value). This is the default behavior. If ScanIndexForward
is false
, DynamoDB reads the results in reverse order by sort key value, and then returns the results to the client.
Represents the amount of provisioned throughput capacity consumed on a table or an index.
", "refs": { "ConsumedCapacity$Table": "The amount of throughput consumed on the table affected by the operation.
", "SecondaryIndexesCapacityMap$value": null } }, "ComparisonOperator": { "base": null, "refs": { "Condition$ComparisonOperator": "A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
EQ
: Equal. EQ
is supported for all data types, including lists and maps.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, Binary, String Set, Number Set, or Binary Set. If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not equal {\"NS\":[\"6\", \"2\", \"1\"]}
.
NE
: Not equal. NE
is supported for all data types, including lists and maps.
AttributeValueList
can contain only one AttributeValue
of type String, Number, Binary, String Set, Number Set, or Binary Set. If an item contains an AttributeValue
of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not equal {\"NS\":[\"6\", \"2\", \"1\"]}
.
LE
: Less than or equal.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
.
LT
: Less than.
AttributeValueList
can contain only one AttributeValue
of type String, Number, or Binary (not a set type). If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
.
GE
: Greater than or equal.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
.
GT
: Greater than.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
.
NOT_NULL
: The attribute exists. NOT_NULL
is supported for all data types, including lists and maps.
This operator tests for the existence of an attribute, not its data type. If the data type of attribute \"a
\" is null, and you evaluate it using NOT_NULL
, the result is a Boolean true
. This result is because the attribute \"a
\" exists; its data type is not relevant to the NOT_NULL
comparison operator.
NULL
: The attribute does not exist. NULL
is supported for all data types, including lists and maps.
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute \"a
\" is null, and you evaluate it using NULL
, the result is a Boolean false
. This is because the attribute \"a
\" exists; its data type is not relevant to the NULL
comparison operator.
CONTAINS
: Checks for a subsequence, or value in a set.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If the target attribute of the comparison is of type String, then the operator checks for a substring match. If the target attribute of the comparison is of type Binary, then the operator looks for a subsequence of the target that matches the input. If the target attribute of the comparison is a set (\"SS
\", \"NS
\", or \"BS
\"), then the operator evaluates to true if it finds an exact match with any member of the set.
CONTAINS is supported for lists: When evaluating \"a CONTAINS b
\", \"a
\" can be a list; however, \"b
\" cannot be a set, a map, or a list.
NOT_CONTAINS
: Checks for absence of a subsequence, or absence of a value in a set.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If the target attribute of the comparison is a String, then the operator checks for the absence of a substring match. If the target attribute of the comparison is Binary, then the operator checks for the absence of a subsequence of the target that matches the input. If the target attribute of the comparison is a set (\"SS
\", \"NS
\", or \"BS
\"), then the operator evaluates to true if it does not find an exact match with any member of the set.
NOT_CONTAINS is supported for lists: When evaluating \"a NOT CONTAINS b
\", \"a
\" can be a list; however, \"b
\" cannot be a set, a map, or a list.
BEGINS_WITH
: Checks for a prefix.
AttributeValueList
can contain only one AttributeValue
of type String or Binary (not a Number or a set type). The target attribute of the comparison must be of type String or Binary (not a Number or a set type).
IN
: Checks for matching elements in a list.
AttributeValueList
can contain one or more AttributeValue
elements of type String, Number, or Binary. These attributes are compared against an existing attribute of an item. If any elements of the input are equal to the item attribute, the expression evaluates to true.
BETWEEN
: Greater than or equal to the first value, and less than or equal to the second value.
AttributeValueList
must contain two AttributeValue
elements of the same type, either String, Number, or Binary (not a set type). A target attribute matches if the target value is greater than, or equal to, the first element and less than, or equal to, the second element. If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not compare to {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
For usage examples of AttributeValueList
and ComparisonOperator
, see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide.
A comparator for evaluating attributes in the AttributeValueList
. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
EQ
: Equal. EQ
is supported for all data types, including lists and maps.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, Binary, String Set, Number Set, or Binary Set. If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not equal {\"NS\":[\"6\", \"2\", \"1\"]}
.
NE
: Not equal. NE
is supported for all data types, including lists and maps.
AttributeValueList
can contain only one AttributeValue
of type String, Number, Binary, String Set, Number Set, or Binary Set. If an item contains an AttributeValue
of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not equal {\"NS\":[\"6\", \"2\", \"1\"]}
.
LE
: Less than or equal.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
.
LT
: Less than.
AttributeValueList
can contain only one AttributeValue
of type String, Number, or Binary (not a set type). If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
.
GE
: Greater than or equal.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
.
GT
: Greater than.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not equal {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
.
NOT_NULL
: The attribute exists. NOT_NULL
is supported for all data types, including lists and maps.
This operator tests for the existence of an attribute, not its data type. If the data type of attribute \"a
\" is null, and you evaluate it using NOT_NULL
, the result is a Boolean true
. This result is because the attribute \"a
\" exists; its data type is not relevant to the NOT_NULL
comparison operator.
NULL
: The attribute does not exist. NULL
is supported for all data types, including lists and maps.
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute \"a
\" is null, and you evaluate it using NULL
, the result is a Boolean false
. This is because the attribute \"a
\" exists; its data type is not relevant to the NULL
comparison operator.
CONTAINS
: Checks for a subsequence, or value in a set.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If the target attribute of the comparison is of type String, then the operator checks for a substring match. If the target attribute of the comparison is of type Binary, then the operator looks for a subsequence of the target that matches the input. If the target attribute of the comparison is a set (\"SS
\", \"NS
\", or \"BS
\"), then the operator evaluates to true if it finds an exact match with any member of the set.
CONTAINS is supported for lists: When evaluating \"a CONTAINS b
\", \"a
\" can be a list; however, \"b
\" cannot be a set, a map, or a list.
NOT_CONTAINS
: Checks for absence of a subsequence, or absence of a value in a set.
AttributeValueList
can contain only one AttributeValue
element of type String, Number, or Binary (not a set type). If the target attribute of the comparison is a String, then the operator checks for the absence of a substring match. If the target attribute of the comparison is Binary, then the operator checks for the absence of a subsequence of the target that matches the input. If the target attribute of the comparison is a set (\"SS
\", \"NS
\", or \"BS
\"), then the operator evaluates to true if it does not find an exact match with any member of the set.
NOT_CONTAINS is supported for lists: When evaluating \"a NOT CONTAINS b
\", \"a
\" can be a list; however, \"b
\" cannot be a set, a map, or a list.
BEGINS_WITH
: Checks for a prefix.
AttributeValueList
can contain only one AttributeValue
of type String or Binary (not a Number or a set type). The target attribute of the comparison must be of type String or Binary (not a Number or a set type).
IN
: Checks for matching elements in a list.
AttributeValueList
can contain one or more AttributeValue
elements of type String, Number, or Binary. These attributes are compared against an existing attribute of an item. If any elements of the input are equal to the item attribute, the expression evaluates to true.
BETWEEN
: Greater than or equal to the first value, and less than or equal to the second value.
AttributeValueList
must contain two AttributeValue
elements of the same type, either String, Number, or Binary (not a set type). A target attribute matches if the target value is greater than, or equal to, the first element and less than, or equal to, the second element. If an item contains an AttributeValue
element of a different type than the one provided in the request, the value does not match. For example, {\"S\":\"6\"}
does not compare to {\"N\":\"6\"}
. Also, {\"N\":\"6\"}
does not compare to {\"NS\":[\"6\", \"2\", \"1\"]}
Represents the selection criteria for a Query
or Scan
operation:
For a Query
operation, Condition
is used for specifying the KeyConditions
to use when querying a table or an index. For KeyConditions
, only the following comparison operators are supported:
EQ | LE | LT | GE | GT | BEGINS_WITH | BETWEEN
Condition
is also used in a QueryFilter
, which evaluates the query results and returns only the desired values.
For a Scan
operation, Condition
is used in a ScanFilter
, which evaluates the scan results and returns only the desired values.
A condition that must be satisfied in order for a conditional DeleteItem
to succeed.
An expression can contain any of the following:
Functions: attribute_exists | attribute_not_exists | attribute_type | contains | begins_with | size
These function names are case-sensitive.
Comparison operators: = | <> | < | > | <= | >= | BETWEEN | IN
Logical operators: AND | OR | NOT
For more information on condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide.
", "PutItemInput$ConditionExpression": "A condition that must be satisfied in order for a conditional PutItem
operation to succeed.
An expression can contain any of the following:
Functions: attribute_exists | attribute_not_exists | attribute_type | contains | begins_with | size
These function names are case-sensitive.
Comparison operators: = | <> | < | > | <= | >= | BETWEEN | IN
Logical operators: AND | OR | NOT
For more information on condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide.
", "QueryInput$FilterExpression": "A string that contains conditions that DynamoDB applies after the Query
operation, but before the data is returned to you. Items that do not satisfy the FilterExpression
criteria are not returned.
A FilterExpression
does not allow key attributes. You cannot define a filter expression based on a partition key or a sort key.
A FilterExpression
is applied after the items have already been read; the process of filtering does not consume any additional read capacity units.
For more information, see Filter Expressions in the Amazon DynamoDB Developer Guide.
", "ScanInput$FilterExpression": "A string that contains conditions that DynamoDB applies after the Scan
operation, but before the data is returned to you. Items that do not satisfy the FilterExpression
criteria are not returned.
A FilterExpression
is applied after the items have already been read; the process of filtering does not consume any additional read capacity units.
For more information, see Filter Expressions in the Amazon DynamoDB Developer Guide.
", "UpdateItemInput$ConditionExpression": "A condition that must be satisfied in order for a conditional update to succeed.
An expression can contain any of the following:
Functions: attribute_exists | attribute_not_exists | attribute_type | contains | begins_with | size
These function names are case-sensitive.
Comparison operators: = | <> | < | > | <= | >= | BETWEEN | IN
Logical operators: AND | OR | NOT
For more information on condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide.
" } }, "ConditionalCheckFailedException": { "base": "A condition specified in the operation could not be evaluated.
", "refs": { } }, "ConditionalOperator": { "base": null, "refs": { "DeleteItemInput$ConditionalOperator": "This is a legacy parameter. Use ConditionExpression
instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use ConditionExpression
instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use FilterExpression
instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use FilterExpression
instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use ConditionExpression
instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.
Determines the read consistency model: If set to true
, then the operation uses strongly consistent reads; otherwise, the operation uses eventually consistent reads.
The consistency of a read operation. If set to true
, then a strongly consistent read is used; otherwise, an eventually consistent read is used.
Determines the read consistency model: If set to true
, then the operation uses strongly consistent reads; otherwise, the operation uses eventually consistent reads.
Strongly consistent reads are not supported on global secondary indexes. If you query a global secondary index with ConsistentRead
set to true
, you will receive a ValidationException
.
A Boolean value that determines the read consistency model during the scan:
If ConsistentRead
is false
, then the data returned from Scan
might not contain the results from other recently completed write operations (PutItem, UpdateItem or DeleteItem).
If ConsistentRead
is true
, then all of the write operations that completed before the Scan
began are guaranteed to be contained in the Scan
response.
The default setting for ConsistentRead
is false
.
The ConsistentRead
parameter is not supported on global secondary indexes. If you scan a global secondary index with ConsistentRead
set to true, you will receive a ValidationException
.
The capacity units consumed by an operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity
is only returned if the request asked for it. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide.
The capacity units consumed by the DeleteItem
operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity
is only returned if the ReturnConsumedCapacity
parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide.
The capacity units consumed by the GetItem
operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity
is only returned if the ReturnConsumedCapacity
parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide.
The capacity units consumed by the PutItem
operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity
is only returned if the ReturnConsumedCapacity
parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide.
The capacity units consumed by the Query
operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity
is only returned if the ReturnConsumedCapacity
parameter was specified For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide.
The capacity units consumed by the Scan
operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity
is only returned if the ReturnConsumedCapacity
parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide.
The capacity units consumed by the UpdateItem
operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity
is only returned if the ReturnConsumedCapacity
parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide.
The read capacity units consumed by the entire BatchGetItem
operation.
Each element consists of:
TableName
- The table that consumed the provisioned throughput.
CapacityUnits
- The total number of capacity units consumed.
The capacity units consumed by the entire BatchWriteItem
operation.
Each element consists of:
TableName
- The table that consumed the provisioned throughput.
CapacityUnits
- The total number of capacity units consumed.
The total number of capacity units consumed on a table or an index.
", "ConsumedCapacity$CapacityUnits": "The total number of capacity units consumed by the operation.
" } }, "ContinuousBackupsDescription": { "base": "Represents the backup and restore settings on the table when the backup was created.
", "refs": { "DescribeContinuousBackupsOutput$ContinuousBackupsDescription": " ContinuousBackupsDescription
can be one of the following : ENABLED, DISABLED.
ContinuousBackupsStatus can be one of the following states : ENABLED, DISABLED
" } }, "ContinuousBackupsUnavailableException": { "base": "Backups have not yet been enabled for this table.
", "refs": { } }, "CreateBackupInput": { "base": null, "refs": { } }, "CreateBackupOutput": { "base": null, "refs": { } }, "CreateGlobalSecondaryIndexAction": { "base": "Represents a new global secondary index to be added to an existing table.
", "refs": { "GlobalSecondaryIndexUpdate$Create": "The parameters required for creating a global secondary index on an existing table:
IndexName
KeySchema
AttributeDefinitions
Projection
ProvisionedThroughput
Represents a replica to be added.
", "refs": { "ReplicaUpdate$Create": "The parameters required for creating a replica on an existing global table.
" } }, "CreateTableInput": { "base": "Represents the input of a CreateTable
operation.
Represents the output of a CreateTable
operation.
The creation time of the global table.
", "ProvisionedThroughputDescription$LastIncreaseDateTime": "The date and time of the last provisioned throughput increase for this table.
", "ProvisionedThroughputDescription$LastDecreaseDateTime": "The date and time of the last provisioned throughput decrease for this table.
", "TableDescription$CreationDateTime": "The date and time when the table was created, in UNIX epoch time format.
" } }, "DeleteBackupInput": { "base": null, "refs": { } }, "DeleteBackupOutput": { "base": null, "refs": { } }, "DeleteGlobalSecondaryIndexAction": { "base": "Represents a global secondary index to be deleted from an existing table.
", "refs": { "GlobalSecondaryIndexUpdate$Delete": "The name of an existing global secondary index to be removed.
" } }, "DeleteItemInput": { "base": "Represents the input of a DeleteItem
operation.
Represents the output of a DeleteItem
operation.
Represents a replica to be removed.
", "refs": { "ReplicaUpdate$Delete": "The name of the existing replica to be removed.
" } }, "DeleteRequest": { "base": "Represents a request to perform a DeleteItem
operation on an item.
A request to perform a DeleteItem
operation.
Represents the input of a DeleteTable
operation.
Represents the output of a DeleteTable
operation.
Represents the input of a DescribeLimits
operation. Has no content.
Represents the output of a DescribeLimits
operation.
Represents the input of a DescribeTable
operation.
Represents the output of a DescribeTable
operation.
The conditional request failed.
", "ContinuousBackupsUnavailableException$message": null, "GlobalTableAlreadyExistsException$message": null, "GlobalTableNotFoundException$message": null, "InternalServerError$message": "The server encountered an internal error trying to fulfill the request.
", "ItemCollectionSizeLimitExceededException$message": "The total size of an item collection has exceeded the maximum limit of 10 gigabytes.
", "LimitExceededException$message": "Too many operations for a given subscriber.
", "ProvisionedThroughputExceededException$message": "You exceeded your maximum allowed provisioned throughput.
", "ReplicaAlreadyExistsException$message": null, "ReplicaNotFoundException$message": null, "ResourceInUseException$message": "The resource which is being attempted to be changed is in use.
", "ResourceNotFoundException$message": "The resource which is being requested does not exist.
", "TableAlreadyExistsException$message": null, "TableInUseException$message": null, "TableNotFoundException$message": null } }, "ExpectedAttributeMap": { "base": null, "refs": { "DeleteItemInput$Expected": "This is a legacy parameter. Use ConditionExpression
instead. For more information, see Expected in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use ConditionExpression
instead. For more information, see Expected in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use ConditionExpression
instead. For more information, see Expected in the Amazon DynamoDB Developer Guide.
Represents a condition to be compared with an attribute value. This condition can be used with DeleteItem
, PutItem
or UpdateItem
operations; if the comparison evaluates to true, the operation succeeds; if not, the operation fails. You can use ExpectedAttributeValue
in one of two different ways:
Use AttributeValueList
to specify one or more values to compare against an attribute. Use ComparisonOperator
to specify how you want to perform the comparison. If the comparison evaluates to true, then the conditional operation succeeds.
Use Value
to specify a value that DynamoDB will compare against an attribute. If the values match, then ExpectedAttributeValue
evaluates to true and the conditional operation succeeds. Optionally, you can also set Exists
to false, indicating that you do not expect to find the attribute value in the table. In this case, the conditional operation succeeds only if the comparison evaluates to false.
Value
and Exists
are incompatible with AttributeValueList
and ComparisonOperator
. Note that if you use both sets of parameters at once, DynamoDB will return a ValidationException
exception.
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames
:
To access an attribute whose name conflicts with a DynamoDB reserved word.
To create a placeholder for repeating occurrences of an attribute name in an expression.
To prevent special characters in an attribute name from being misinterpreted in an expression.
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames
:
{\"#P\":\"Percentile\"}
You could then use this substitution in an expression, as in this example:
#P = :val
Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
", "GetItemInput$ExpressionAttributeNames": "One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames
:
To access an attribute whose name conflicts with a DynamoDB reserved word.
To create a placeholder for repeating occurrences of an attribute name in an expression.
To prevent special characters in an attribute name from being misinterpreted in an expression.
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames
:
{\"#P\":\"Percentile\"}
You could then use this substitution in an expression, as in this example:
#P = :val
Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
", "KeysAndAttributes$ExpressionAttributeNames": "One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames
:
To access an attribute whose name conflicts with a DynamoDB reserved word.
To create a placeholder for repeating occurrences of an attribute name in an expression.
To prevent special characters in an attribute name from being misinterpreted in an expression.
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames
:
{\"#P\":\"Percentile\"}
You could then use this substitution in an expression, as in this example:
#P = :val
Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
", "PutItemInput$ExpressionAttributeNames": "One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames
:
To access an attribute whose name conflicts with a DynamoDB reserved word.
To create a placeholder for repeating occurrences of an attribute name in an expression.
To prevent special characters in an attribute name from being misinterpreted in an expression.
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames
:
{\"#P\":\"Percentile\"}
You could then use this substitution in an expression, as in this example:
#P = :val
Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
", "QueryInput$ExpressionAttributeNames": "One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames
:
To access an attribute whose name conflicts with a DynamoDB reserved word.
To create a placeholder for repeating occurrences of an attribute name in an expression.
To prevent special characters in an attribute name from being misinterpreted in an expression.
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames
:
{\"#P\":\"Percentile\"}
You could then use this substitution in an expression, as in this example:
#P = :val
Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
", "ScanInput$ExpressionAttributeNames": "One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames
:
To access an attribute whose name conflicts with a DynamoDB reserved word.
To create a placeholder for repeating occurrences of an attribute name in an expression.
To prevent special characters in an attribute name from being misinterpreted in an expression.
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames
:
{\"#P\":\"Percentile\"}
You could then use this substitution in an expression, as in this example:
#P = :val
Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
", "UpdateItemInput$ExpressionAttributeNames": "One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames
:
To access an attribute whose name conflicts with a DynamoDB reserved word.
To create a placeholder for repeating occurrences of an attribute name in an expression.
To prevent special characters in an attribute name from being misinterpreted in an expression.
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames
:
{\"#P\":\"Percentile\"}
You could then use this substitution in an expression, as in this example:
#P = :val
Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
" } }, "ExpressionAttributeNameVariable": { "base": null, "refs": { "ExpressionAttributeNameMap$key": null } }, "ExpressionAttributeValueMap": { "base": null, "refs": { "DeleteItemInput$ExpressionAttributeValues": "One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues
as follows:
{ \":avail\":{\"S\":\"Available\"}, \":back\":{\"S\":\"Backordered\"}, \":disc\":{\"S\":\"Discontinued\"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.
", "PutItemInput$ExpressionAttributeValues": "One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues
as follows:
{ \":avail\":{\"S\":\"Available\"}, \":back\":{\"S\":\"Backordered\"}, \":disc\":{\"S\":\"Discontinued\"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.
", "QueryInput$ExpressionAttributeValues": "One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues
as follows:
{ \":avail\":{\"S\":\"Available\"}, \":back\":{\"S\":\"Backordered\"}, \":disc\":{\"S\":\"Discontinued\"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.
", "ScanInput$ExpressionAttributeValues": "One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues
as follows:
{ \":avail\":{\"S\":\"Available\"}, \":back\":{\"S\":\"Backordered\"}, \":disc\":{\"S\":\"Discontinued\"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.
", "UpdateItemInput$ExpressionAttributeValues": "One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues
as follows:
{ \":avail\":{\"S\":\"Available\"}, \":back\":{\"S\":\"Backordered\"}, \":disc\":{\"S\":\"Discontinued\"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.
" } }, "ExpressionAttributeValueVariable": { "base": null, "refs": { "ExpressionAttributeValueMap$key": null } }, "FilterConditionMap": { "base": null, "refs": { "QueryInput$QueryFilter": "This is a legacy parameter. Use FilterExpression
instead. For more information, see QueryFilter in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use FilterExpression
instead. For more information, see ScanFilter in the Amazon DynamoDB Developer Guide.
Represents the input of a GetItem
operation.
Represents the output of a GetItem
operation.
Represents the properties of a global secondary index.
", "refs": { "GlobalSecondaryIndexList$member": null } }, "GlobalSecondaryIndexDescription": { "base": "Represents the properties of a global secondary index.
", "refs": { "GlobalSecondaryIndexDescriptionList$member": null } }, "GlobalSecondaryIndexDescriptionList": { "base": null, "refs": { "TableDescription$GlobalSecondaryIndexes": "The global secondary indexes, if any, on the table. Each index is scoped to a given partition key value. Each element is composed of:
Backfilling
- If true, then the index is currently in the backfilling phase. Backfilling occurs only when a new global secondary index is added to the table; it is the process by which DynamoDB populates the new index with data from the table. (This attribute does not appear for indexes that were created during a CreateTable
operation.)
IndexName
- The name of the global secondary index.
IndexSizeBytes
- The total size of the global secondary index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexStatus
- The current status of the global secondary index:
CREATING
- The index is being created.
UPDATING
- The index is being updated.
DELETING
- The index is being deleted.
ACTIVE
- The index is ready for use.
ItemCount
- The number of items in the global secondary index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
KeySchema
- Specifies the complete index key schema. The attribute names in the key schema must be between 1 and 255 characters (inclusive). The key schema must begin with the same partition key as the table.
Projection
- Specifies attributes that are copied (projected) from the table into the index. These are in addition to the primary key attributes and index key attributes, which are automatically projected. Each attribute specification is composed of:
ProjectionType
- One of the following:
KEYS_ONLY
- Only the index and primary keys are projected into the index.
INCLUDE
- Only the specified table attributes are projected into the index. The list of projected attributes are in NonKeyAttributes
.
ALL
- All of the table attributes are projected into the index.
NonKeyAttributes
- A list of one or more non-key attribute names that are projected into the secondary index. The total count of attributes provided in NonKeyAttributes
, summed across all of the secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
ProvisionedThroughput
- The provisioned throughput settings for the global secondary index, consisting of read and write capacity units, along with data about increases and decreases.
If the table is in the DELETING
state, no information about indexes will be returned.
Represents the properties of a global secondary index for the table when the backup was created.
", "refs": { "GlobalSecondaryIndexes$member": null } }, "GlobalSecondaryIndexList": { "base": null, "refs": { "CreateTableInput$GlobalSecondaryIndexes": "One or more global secondary indexes (the maximum is five) to be created on the table. Each global secondary index in the array includes the following:
IndexName
- The name of the global secondary index. Must be unique only for this table.
KeySchema
- Specifies the key schema for the global secondary index.
Projection
- Specifies attributes that are copied (projected) from the table into the index. These are in addition to the primary key attributes and index key attributes, which are automatically projected. Each attribute specification is composed of:
ProjectionType
- One of the following:
KEYS_ONLY
- Only the index and primary keys are projected into the index.
INCLUDE
- Only the specified table attributes are projected into the index. The list of projected attributes are in NonKeyAttributes
.
ALL
- All of the table attributes are projected into the index.
NonKeyAttributes
- A list of one or more non-key attribute names that are projected into the secondary index. The total count of attributes provided in NonKeyAttributes
, summed across all of the secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
ProvisionedThroughput
- The provisioned throughput settings for the global secondary index, consisting of read and write capacity units.
Represents one of the following:
A new global secondary index to be added to an existing table.
New provisioned throughput parameters for an existing global secondary index.
An existing global secondary index to be removed from an existing table.
An array of one or more global secondary indexes for the table. For each index in the array, you can request one action:
Create
- add a new global secondary index to the table.
Update
- modify the provisioned throughput settings of an existing global secondary index.
Delete
- remove a global secondary index from the table.
For more information, see Managing Global Secondary Indexes in the Amazon DynamoDB Developer Guide.
" } }, "GlobalSecondaryIndexes": { "base": null, "refs": { "SourceTableFeatureDetails$GlobalSecondaryIndexes": "Represents the GSI properties for the table when the backup was created. It includes the IndexName, KeySchema, Projection and ProvisionedThroughput for the GSIs on the table at the time of backup.
" } }, "GlobalTable": { "base": "Represents the properties of a global table.
", "refs": { "GlobalTableList$member": null } }, "GlobalTableAlreadyExistsException": { "base": "The specified global table already exists.
", "refs": { } }, "GlobalTableArnString": { "base": null, "refs": { "GlobalTableDescription$GlobalTableArn": "The unique identifier of the global table.
" } }, "GlobalTableDescription": { "base": "Contains details about the global table.
", "refs": { "CreateGlobalTableOutput$GlobalTableDescription": "Contains the details of the global table.
", "DescribeGlobalTableOutput$GlobalTableDescription": "Contains the details of the global table.
", "UpdateGlobalTableOutput$GlobalTableDescription": "Contains the details of the global table.
" } }, "GlobalTableList": { "base": null, "refs": { "ListGlobalTablesOutput$GlobalTables": "List of global table names.
" } }, "GlobalTableNotFoundException": { "base": "The specified global table does not exist.
", "refs": { } }, "GlobalTableStatus": { "base": null, "refs": { "GlobalTableDescription$GlobalTableStatus": "The current state of the global table:
CREATING
- The global table is being created.
UPDATING
- The global table is being updated.
DELETING
- The global table is being deleted.
ACTIVE
- The global table is ready for use.
The name of the global secondary index to be created.
", "DeleteGlobalSecondaryIndexAction$IndexName": "The name of the global secondary index to be deleted.
", "GlobalSecondaryIndex$IndexName": "The name of the global secondary index. The name must be unique among all other indexes on this table.
", "GlobalSecondaryIndexDescription$IndexName": "The name of the global secondary index.
", "GlobalSecondaryIndexInfo$IndexName": "The name of the global secondary index.
", "LocalSecondaryIndex$IndexName": "The name of the local secondary index. The name must be unique among all other indexes on this table.
", "LocalSecondaryIndexDescription$IndexName": "Represents the name of the local secondary index.
", "LocalSecondaryIndexInfo$IndexName": "Represents the name of the local secondary index.
", "QueryInput$IndexName": "The name of an index to query. This index can be any local secondary index or global secondary index on the table. Note that if you use the IndexName
parameter, you must also provide TableName.
The name of a secondary index to scan. This index can be any local secondary index or global secondary index. Note that if you use the IndexName
parameter, you must also provide TableName
.
The name of the global secondary index to be updated.
" } }, "IndexStatus": { "base": null, "refs": { "GlobalSecondaryIndexDescription$IndexStatus": "The current state of the global secondary index:
CREATING
- The index is being created.
UPDATING
- The index is being updated.
DELETING
- The index is being deleted.
ACTIVE
- The index is ready for use.
The number of items in the response.
If you used a QueryFilter
in the request, then Count
is the number of items returned after the filter was applied, and ScannedCount
is the number of matching items before the filter was applied.
If you did not use a filter in the request, then Count
and ScannedCount
are the same.
The number of items evaluated, before any QueryFilter
is applied. A high ScannedCount
value with few, or no, Count
results indicates an inefficient Query
operation. For more information, see Count and ScannedCount in the Amazon DynamoDB Developer Guide.
If you did not use a filter in the request, then ScannedCount
is the same as Count
.
The number of items in the response.
If you set ScanFilter
in the request, then Count
is the number of items returned after the filter was applied, and ScannedCount
is the number of matching items before the filter was applied.
If you did not use a filter in the request, then Count
is the same as ScannedCount
.
The number of items evaluated, before any ScanFilter
is applied. A high ScannedCount
value with few, or no, Count
results indicates an inefficient Scan
operation. For more information, see Count and ScannedCount in the Amazon DynamoDB Developer Guide.
If you did not use a filter in the request, then ScannedCount
is the same as Count
.
An error occurred on the server side.
", "refs": { } }, "ItemCollectionKeyAttributeMap": { "base": null, "refs": { "ItemCollectionMetrics$ItemCollectionKey": "The partition key value of the item collection. This value is the same as the partition key value of the item.
" } }, "ItemCollectionMetrics": { "base": "Information about item collections, if any, that were affected by the operation. ItemCollectionMetrics
is only returned if the request asked for it. If the table does not have any local secondary indexes, this information is not returned in the response.
Information about item collections, if any, that were affected by the DeleteItem
operation. ItemCollectionMetrics
is only returned if the ReturnItemCollectionMetrics
parameter was specified. If the table does not have any local secondary indexes, this information is not returned in the response.
Each ItemCollectionMetrics
element consists of:
ItemCollectionKey
- The partition key value of the item collection. This is the same as the partition key value of the item itself.
SizeEstimateRangeGB
- An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
Information about item collections, if any, that were affected by the PutItem
operation. ItemCollectionMetrics
is only returned if the ReturnItemCollectionMetrics
parameter was specified. If the table does not have any local secondary indexes, this information is not returned in the response.
Each ItemCollectionMetrics
element consists of:
ItemCollectionKey
- The partition key value of the item collection. This is the same as the partition key value of the item itself.
SizeEstimateRangeGB
- An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
Information about item collections, if any, that were affected by the UpdateItem
operation. ItemCollectionMetrics
is only returned if the ReturnItemCollectionMetrics
parameter was specified. If the table does not have any local secondary indexes, this information is not returned in the response.
Each ItemCollectionMetrics
element consists of:
ItemCollectionKey
- The partition key value of the item collection. This is the same as the partition key value of the item itself.
SizeEstimateRangeGB
- An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
A list of tables that were processed by BatchWriteItem
and, for each table, information about any item collections that were affected by individual DeleteItem
or PutItem
operations.
Each entry consists of the following subelements:
ItemCollectionKey
- The partition key value of the item collection. This is the same as the partition key value of the item.
SizeEstimateRangeGB
- An estimate of item collection size, expressed in GB. This is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on the table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
" } }, "ItemCollectionSizeLimitExceededException": { "base": "An item collection is too large. This exception is only returned for tables that have one or more local secondary indexes.
", "refs": { } }, "ItemCount": { "base": null, "refs": { "SourceTableDetails$ItemCount": "Number of items in the table. Please note this is an approximate value.
" } }, "ItemList": { "base": null, "refs": { "BatchGetResponseMap$value": null, "QueryOutput$Items": "An array of item attributes that match the query criteria. Each element in this array consists of an attribute name and the value for that attribute.
", "ScanOutput$Items": "An array of item attributes that match the scan criteria. Each element in this array consists of an attribute name and the value for that attribute.
" } }, "Key": { "base": null, "refs": { "DeleteItemInput$Key": "A map of attribute names to AttributeValue
objects, representing the primary key of the item to delete.
For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
", "DeleteRequest$Key": "A map of attribute name to attribute values, representing the primary key of the item to delete. All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema.
", "GetItemInput$Key": "A map of attribute names to AttributeValue
objects, representing the primary key of the item to retrieve.
For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
", "KeyList$member": null, "QueryInput$ExclusiveStartKey": "The primary key of the first item that this operation will evaluate. Use the value that was returned for LastEvaluatedKey
in the previous operation.
The data type for ExclusiveStartKey
must be String, Number or Binary. No set data types are allowed.
The primary key of the item where the operation stopped, inclusive of the previous result set. Use this value to start a new operation, excluding this value in the new request.
If LastEvaluatedKey
is empty, then the \"last page\" of results has been processed and there is no more data to be retrieved.
If LastEvaluatedKey
is not empty, it does not necessarily mean that there is more data in the result set. The only way to know when you have reached the end of the result set is when LastEvaluatedKey
is empty.
The primary key of the first item that this operation will evaluate. Use the value that was returned for LastEvaluatedKey
in the previous operation.
The data type for ExclusiveStartKey
must be String, Number or Binary. No set data types are allowed.
In a parallel scan, a Scan
request that includes ExclusiveStartKey
must specify the same segment whose previous Scan
returned the corresponding value of LastEvaluatedKey
.
The primary key of the item where the operation stopped, inclusive of the previous result set. Use this value to start a new operation, excluding this value in the new request.
If LastEvaluatedKey
is empty, then the \"last page\" of results has been processed and there is no more data to be retrieved.
If LastEvaluatedKey
is not empty, it does not necessarily mean that there is more data in the result set. The only way to know when you have reached the end of the result set is when LastEvaluatedKey
is empty.
The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute.
For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
" } }, "KeyConditions": { "base": null, "refs": { "QueryInput$KeyConditions": "This is a legacy parameter. Use KeyConditionExpression
instead. For more information, see KeyConditions in the Amazon DynamoDB Developer Guide.
The condition that specifies the key value(s) for items to be retrieved by the Query
action.
The condition must perform an equality test on a single partition key value. The condition can also perform one of several comparison tests on a single sort key value. Query
can use KeyConditionExpression
to retrieve one item with a given partition key value and sort key value, or several items that have the same partition key value but different sort key values.
The partition key equality test is required, and must be specified in the following format:
partitionKeyName
= :partitionkeyval
If you also want to provide a condition for the sort key, it must be combined using AND
with the condition for the sort key. Following is an example, using the = comparison operator for the sort key:
partitionKeyName
=
:partitionkeyval
AND
sortKeyName
=
:sortkeyval
Valid comparisons for the sort key condition are as follows:
sortKeyName
=
:sortkeyval
- true if the sort key value is equal to :sortkeyval
.
sortKeyName
<
:sortkeyval
- true if the sort key value is less than :sortkeyval
.
sortKeyName
<=
:sortkeyval
- true if the sort key value is less than or equal to :sortkeyval
.
sortKeyName
>
:sortkeyval
- true if the sort key value is greater than :sortkeyval
.
sortKeyName
>=
:sortkeyval
- true if the sort key value is greater than or equal to :sortkeyval
.
sortKeyName
BETWEEN
:sortkeyval1
AND
:sortkeyval2
- true if the sort key value is greater than or equal to :sortkeyval1
, and less than or equal to :sortkeyval2
.
begins_with (
sortKeyName
, :sortkeyval
)
- true if the sort key value begins with a particular operand. (You cannot use this function with a sort key that is of type Number.) Note that the function name begins_with
is case-sensitive.
Use the ExpressionAttributeValues
parameter to replace tokens such as :partitionval
and :sortval
with actual values at runtime.
You can optionally use the ExpressionAttributeNames
parameter to replace the names of the partition key and sort key with placeholder tokens. This option might be necessary if an attribute name conflicts with a DynamoDB reserved word. For example, the following KeyConditionExpression
parameter causes an error because Size is a reserved word:
Size = :myval
To work around this, define a placeholder (such a #S
) to represent the attribute name Size. KeyConditionExpression
then is as follows:
#S = :myval
For a list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide.
For more information on ExpressionAttributeNames
and ExpressionAttributeValues
, see Using Placeholders for Attribute Names and Values in the Amazon DynamoDB Developer Guide.
The primary key attribute values that define the items and the attributes associated with the items.
" } }, "KeySchema": { "base": null, "refs": { "CreateGlobalSecondaryIndexAction$KeySchema": "The key schema for the global secondary index.
", "CreateTableInput$KeySchema": "Specifies the attributes that make up the primary key for a table or an index. The attributes in KeySchema
must also be defined in the AttributeDefinitions
array. For more information, see Data Model in the Amazon DynamoDB Developer Guide.
Each KeySchemaElement
in the array is composed of:
AttributeName
- The name of this key attribute.
KeyType
- The role that the key attribute will assume:
HASH
- partition key
RANGE
- sort key
The partition key of an item is also known as its hash attribute. The term \"hash attribute\" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute. The term \"range attribute\" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For a simple primary key (partition key), you must provide exactly one element with a KeyType
of HASH
.
For a composite primary key (partition key and sort key), you must provide exactly two elements, in this order: The first element must have a KeyType
of HASH
, and the second element must have a KeyType
of RANGE
.
For more information, see Specifying the Primary Key in the Amazon DynamoDB Developer Guide.
", "GlobalSecondaryIndex$KeySchema": "The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
HASH
- partition key
RANGE
- sort key
The partition key of an item is also known as its hash attribute. The term \"hash attribute\" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute. The term \"range attribute\" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
HASH
- partition key
RANGE
- sort key
The partition key of an item is also known as its hash attribute. The term \"hash attribute\" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute. The term \"range attribute\" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
HASH
- partition key
RANGE
- sort key
The partition key of an item is also known as its hash attribute. The term \"hash attribute\" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute. The term \"range attribute\" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
HASH
- partition key
RANGE
- sort key
The partition key of an item is also known as its hash attribute. The term \"hash attribute\" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute. The term \"range attribute\" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
HASH
- partition key
RANGE
- sort key
The partition key of an item is also known as its hash attribute. The term \"hash attribute\" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute. The term \"range attribute\" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
The complete key schema for a local secondary index, which consists of one or more pairs of attribute names and key types:
HASH
- partition key
RANGE
- sort key
The partition key of an item is also known as its hash attribute. The term \"hash attribute\" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute. The term \"range attribute\" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Schema of the table.
", "TableDescription$KeySchema": "The primary key structure for the table. Each KeySchemaElement
consists of:
AttributeName
- The name of the attribute.
KeyType
- The role of the attribute:
HASH
- partition key
RANGE
- sort key
The partition key of an item is also known as its hash attribute. The term \"hash attribute\" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute. The term \"range attribute\" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide.
" } }, "KeySchemaAttributeName": { "base": null, "refs": { "AttributeDefinition$AttributeName": "A name for the attribute.
", "KeySchemaElement$AttributeName": "The name of a key attribute.
" } }, "KeySchemaElement": { "base": "Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement
represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement
(for the partition key). A composite primary key would require one KeySchemaElement
for the partition key, and another KeySchemaElement
for the sort key.
A KeySchemaElement
must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The role that this key attribute will assume:
HASH
- partition key
RANGE
- sort key
The partition key of an item is also known as its hash attribute. The term \"hash attribute\" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute. The term \"range attribute\" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a set of primary keys and, for each key, the attributes to retrieve from the table.
For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key. For a composite primary key, you must provide both the partition key and the sort key.
", "refs": { "BatchGetRequestMap$value": null } }, "LimitExceededException": { "base": "The number of concurrent table requests (cumulative number of tables in the CREATING
, DELETING
or UPDATING
state) exceeds the maximum allowed of 10.
Also, for tables with secondary indexes, only one of those tables can be in the CREATING
state at any point in time. Do not attempt to create more than one such table simultaneously.
The total limit of tables in the ACTIVE
state is 250.
An attribute of type List. For example:
\"L\": [\"Cookies\", \"Coffee\", 3.14159]
Represents the input of a ListTables
operation.
A maximum number of table names to return. If this parameter is not specified, the limit is 100.
" } }, "ListTablesOutput": { "base": "Represents the output of a ListTables
operation.
Represents the properties of a local secondary index.
", "refs": { "LocalSecondaryIndexList$member": null } }, "LocalSecondaryIndexDescription": { "base": "Represents the properties of a local secondary index.
", "refs": { "LocalSecondaryIndexDescriptionList$member": null } }, "LocalSecondaryIndexDescriptionList": { "base": null, "refs": { "TableDescription$LocalSecondaryIndexes": "Represents one or more local secondary indexes on the table. Each index is scoped to a given partition key value. Tables with one or more local secondary indexes are subject to an item collection size limit, where the amount of data within a given item collection cannot exceed 10 GB. Each element is composed of:
IndexName
- The name of the local secondary index.
KeySchema
- Specifies the complete index key schema. The attribute names in the key schema must be between 1 and 255 characters (inclusive). The key schema must begin with the same partition key as the table.
Projection
- Specifies attributes that are copied (projected) from the table into the index. These are in addition to the primary key attributes and index key attributes, which are automatically projected. Each attribute specification is composed of:
ProjectionType
- One of the following:
KEYS_ONLY
- Only the index and primary keys are projected into the index.
INCLUDE
- Only the specified table attributes are projected into the index. The list of projected attributes are in NonKeyAttributes
.
ALL
- All of the table attributes are projected into the index.
NonKeyAttributes
- A list of one or more non-key attribute names that are projected into the secondary index. The total count of attributes provided in NonKeyAttributes
, summed across all of the secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexSizeBytes
- Represents the total size of the index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount
- Represents the number of items in the index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
If the table is in the DELETING
state, no information about indexes will be returned.
Represents the properties of a local secondary index for the table when the backup was created.
", "refs": { "LocalSecondaryIndexes$member": null } }, "LocalSecondaryIndexList": { "base": null, "refs": { "CreateTableInput$LocalSecondaryIndexes": "One or more local secondary indexes (the maximum is five) to be created on the table. Each index is scoped to a given partition key value. There is a 10 GB size limit per partition key value; otherwise, the size of a local secondary index is unconstrained.
Each local secondary index in the array includes the following:
IndexName
- The name of the local secondary index. Must be unique only for this table.
KeySchema
- Specifies the key schema for the local secondary index. The key schema must begin with the same partition key as the table.
Projection
- Specifies attributes that are copied (projected) from the table into the index. These are in addition to the primary key attributes and index key attributes, which are automatically projected. Each attribute specification is composed of:
ProjectionType
- One of the following:
KEYS_ONLY
- Only the index and primary keys are projected into the index.
INCLUDE
- Only the specified table attributes are projected into the index. The list of projected attributes are in NonKeyAttributes
.
ALL
- All of the table attributes are projected into the index.
NonKeyAttributes
- A list of one or more non-key attribute names that are projected into the secondary index. The total count of attributes provided in NonKeyAttributes
, summed across all of the secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
Represents the LSI properties for the table when the backup was created. It includes the IndexName, KeySchema and Projection for the LSIs on the table at the time of backup.
" } }, "Long": { "base": null, "refs": { "GlobalSecondaryIndexDescription$IndexSizeBytes": "The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
", "GlobalSecondaryIndexDescription$ItemCount": "The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
", "LocalSecondaryIndexDescription$IndexSizeBytes": "The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
", "LocalSecondaryIndexDescription$ItemCount": "The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
", "SourceTableDetails$TableSizeBytes": "Size of the table in bytes. Please note this is an approximate value.
", "TableDescription$TableSizeBytes": "The total size of the specified table, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
", "TableDescription$ItemCount": "The number of items in the specified table. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
" } }, "MapAttributeValue": { "base": null, "refs": { "AttributeValue$M": "An attribute of type Map. For example:
\"M\": {\"Name\": {\"S\": \"Joe\"}, \"Age\": {\"N\": \"35\"}}
An optional string that, if supplied, must be copied from the output of a previous call to ListTagOfResource. When provided in this manner, this API fetches the next page of results.
", "ListTagsOfResourceOutput$NextToken": "If this value is returned, there are additional results to be displayed. To retrieve them, call ListTagsOfResource again, with NextToken set to this value.
" } }, "NonKeyAttributeName": { "base": null, "refs": { "NonKeyAttributeNameList$member": null } }, "NonKeyAttributeNameList": { "base": null, "refs": { "Projection$NonKeyAttributes": "Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes
summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
An attribute of type Null. For example:
\"NULL\": true
An attribute of type Number. For example:
\"N\": \"123.45\"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
", "NumberSetAttributeValue$member": null } }, "NumberSetAttributeValue": { "base": null, "refs": { "AttributeValue$NS": "An attribute of type Number Set. For example:
\"NS\": [\"42.2\", \"-19\", \"7.5\", \"3.14\"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
" } }, "PositiveIntegerObject": { "base": null, "refs": { "ListGlobalTablesInput$Limit": "The maximum number of table names to return.
", "QueryInput$Limit": "The maximum number of items to evaluate (not necessarily the number of matching items). If DynamoDB processes the number of items up to the limit while processing the results, it stops the operation and returns the matching values up to that point, and a key in LastEvaluatedKey
to apply in a subsequent operation, so that you can pick up where you left off. Also, if the processed data set size exceeds 1 MB before DynamoDB reaches this limit, it stops the operation and returns the matching values up to the limit, and a key in LastEvaluatedKey
to apply in a subsequent operation to continue the operation. For more information, see Query and Scan in the Amazon DynamoDB Developer Guide.
The maximum number of items to evaluate (not necessarily the number of matching items). If DynamoDB processes the number of items up to the limit while processing the results, it stops the operation and returns the matching values up to that point, and a key in LastEvaluatedKey
to apply in a subsequent operation, so that you can pick up where you left off. Also, if the processed data set size exceeds 1 MB before DynamoDB reaches this limit, it stops the operation and returns the matching values up to the limit, and a key in LastEvaluatedKey
to apply in a subsequent operation to continue the operation. For more information, see Query and Scan in the Amazon DynamoDB Developer Guide.
The maximum total read capacity units that your account allows you to provision across all of your tables in this region.
", "DescribeLimitsOutput$AccountMaxWriteCapacityUnits": "The maximum total write capacity units that your account allows you to provision across all of your tables in this region.
", "DescribeLimitsOutput$TableMaxReadCapacityUnits": "The maximum read capacity units that your account allows you to provision for a new table that you are creating in this region, including the read capacity units provisioned for its global secondary indexes (GSIs).
", "DescribeLimitsOutput$TableMaxWriteCapacityUnits": "The maximum write capacity units that your account allows you to provision for a new table that you are creating in this region, including the write capacity units provisioned for its global secondary indexes (GSIs).
", "ProvisionedThroughput$ReadCapacityUnits": "The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException
. For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException
. For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide.
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide.
", "ProvisionedThroughputDescription$ReadCapacityUnits": "The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException
. Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits
per second provides 100 eventually consistent ReadCapacityUnits
per second.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException
.
Represents attributes that are copied (projected) from the table into an index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
", "refs": { "CreateGlobalSecondaryIndexAction$Projection": "Represents attributes that are copied (projected) from the table into an index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
", "GlobalSecondaryIndex$Projection": "Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
", "GlobalSecondaryIndexDescription$Projection": "Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
", "GlobalSecondaryIndexInfo$Projection": "Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
", "LocalSecondaryIndex$Projection": "Represents attributes that are copied (projected) from the table into the local secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
", "LocalSecondaryIndexDescription$Projection": "Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
", "LocalSecondaryIndexInfo$Projection": "Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
" } }, "ProjectionExpression": { "base": null, "refs": { "GetItemInput$ProjectionExpression": "A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
", "KeysAndAttributes$ProjectionExpression": "A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the ProjectionExpression
must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
", "QueryInput$ProjectionExpression": "A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
", "ScanInput$ProjectionExpression": "A string that identifies one or more attributes to retrieve from the specified table or index. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.
" } }, "ProjectionType": { "base": null, "refs": { "Projection$ProjectionType": "The set of attributes that are projected into the index:
KEYS_ONLY
- Only the index and primary keys are projected into the index.
INCLUDE
- Only the specified table attributes are projected into the index. The list of projected attributes are in NonKeyAttributes
.
ALL
- All of the table attributes are projected into the index.
Represents the provisioned throughput settings for a specified table or index. The settings can be modified using the UpdateTable
operation.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide.
", "refs": { "CreateGlobalSecondaryIndexAction$ProvisionedThroughput": "Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide.
", "CreateTableInput$ProvisionedThroughput": "Represents the provisioned throughput settings for a specified table or index. The settings can be modified using the UpdateTable
operation.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide.
", "GlobalSecondaryIndex$ProvisionedThroughput": "Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide.
", "GlobalSecondaryIndexInfo$ProvisionedThroughput": "Represents the provisioned throughput settings for the specified global secondary index.
", "SourceTableDetails$ProvisionedThroughput": "Read IOPs and Write IOPS on the table when the backup was created.
", "UpdateGlobalSecondaryIndexAction$ProvisionedThroughput": "Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide.
", "UpdateTableInput$ProvisionedThroughput": "The new provisioned throughput settings for the specified table or index.
" } }, "ProvisionedThroughputDescription": { "base": "Represents the provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
", "refs": { "GlobalSecondaryIndexDescription$ProvisionedThroughput": "Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide.
", "TableDescription$ProvisionedThroughput": "The provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
" } }, "ProvisionedThroughputExceededException": { "base": "Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
", "refs": { } }, "PutItemInput": { "base": "Represents the input of a PutItem
operation.
A map of attribute name/value pairs, one for each attribute. Only the primary key attributes are required; you can optionally provide other attribute name-value pairs for the item.
You must provide all of the attributes for the primary key. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide both values for both the partition key and the sort key.
If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide.
Each element in the Item
map is an AttributeValue
object.
A map of attribute name to attribute values, representing the primary key of an item to be processed by PutItem
. All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema. If any attributes are present in the item which are part of an index key schema for the table, their types must match the index key schema.
Represents the output of a PutItem
operation.
Represents a request to perform a PutItem
operation on an item.
A request to perform a PutItem
operation.
Represents the input of a Query
operation.
Represents the output of a Query
operation.
The region of the replica to be added.
", "DeleteReplicaAction$RegionName": "The region of the replica to be removed.
", "ListGlobalTablesInput$RegionName": "Lists the global tables in a specific region.
", "Replica$RegionName": "The region where the replica needs to be created.
", "ReplicaDescription$RegionName": "The name of the region.
" } }, "Replica": { "base": "Represents the properties of a replica.
", "refs": { "ReplicaList$member": null } }, "ReplicaAlreadyExistsException": { "base": "The specified replica is already part of the global table.
", "refs": { } }, "ReplicaDescription": { "base": "Contains the details of the replica.
", "refs": { "ReplicaDescriptionList$member": null } }, "ReplicaDescriptionList": { "base": null, "refs": { "GlobalTableDescription$ReplicationGroup": "The regions where the global table has replicas.
" } }, "ReplicaList": { "base": null, "refs": { "CreateGlobalTableInput$ReplicationGroup": "The regions where the global table needs to be created.
", "GlobalTable$ReplicationGroup": "The regions where the global table has replicas.
" } }, "ReplicaNotFoundException": { "base": "The specified replica is no longer part of the global table.
", "refs": { } }, "ReplicaUpdate": { "base": "Represents one of the following:
A new replica to be added to an existing global table.
New parameters for an existing replica.
An existing replica to be removed from an existing global table.
A list of regions that should be added or removed from the global table.
" } }, "ResourceArnString": { "base": null, "refs": { "ListTagsOfResourceInput$ResourceArn": "The Amazon DynamoDB resource with tags to be listed. This value is an Amazon Resource Name (ARN).
", "TagResourceInput$ResourceArn": "Identifies the Amazon DynamoDB resource to which tags should be added. This value is an Amazon Resource Name (ARN).
", "UntagResourceInput$ResourceArn": "The Amazon DyanamoDB resource the tags will be removed from. This value is an Amazon Resource Name (ARN).
" } }, "ResourceInUseException": { "base": "The operation conflicts with the resource's availability. For example, you attempted to recreate an existing table, or tried to delete a table currently in the CREATING
state.
The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE
.
Point in time or source backup time.
" } }, "RestoreInProgress": { "base": null, "refs": { "RestoreSummary$RestoreInProgress": "Indicates if a restore is in progress or not.
" } }, "RestoreSummary": { "base": "Contains details for the restore.
", "refs": { "TableDescription$RestoreSummary": "Contains details for the restore.
" } }, "RestoreTableFromBackupInput": { "base": null, "refs": { } }, "RestoreTableFromBackupOutput": { "base": null, "refs": { } }, "ReturnConsumedCapacity": { "base": "Determines the level of detail about provisioned throughput consumption that is returned in the response:
INDEXES
- The response includes the aggregate ConsumedCapacity
for the operation, together with ConsumedCapacity
for each table and secondary index that was accessed.
Note that some operations, such as GetItem
and BatchGetItem
, do not access any indexes at all. In these cases, specifying INDEXES
will only return ConsumedCapacity
information for table(s).
TOTAL
- The response includes only the aggregate ConsumedCapacity
for the operation.
NONE
- No ConsumedCapacity
details are included in the response.
Determines whether item collection metrics are returned. If set to SIZE
, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to NONE
(the default), no statistics are returned.
Determines whether item collection metrics are returned. If set to SIZE
, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to NONE
(the default), no statistics are returned.
Determines whether item collection metrics are returned. If set to SIZE
, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to NONE
(the default), no statistics are returned.
Determines whether item collection metrics are returned. If set to SIZE
, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to NONE
(the default), no statistics are returned.
Use ReturnValues
if you want to get the item attributes as they appeared before they were deleted. For DeleteItem
, the valid values are:
NONE
- If ReturnValues
is not specified, or if its value is NONE
, then nothing is returned. (This setting is the default for ReturnValues
.)
ALL_OLD
- The content of the old item is returned.
The ReturnValues
parameter is used by several DynamoDB operations; however, DeleteItem
does not recognize any values other than NONE
or ALL_OLD
.
Use ReturnValues
if you want to get the item attributes as they appeared before they were updated with the PutItem
request. For PutItem
, the valid values are:
NONE
- If ReturnValues
is not specified, or if its value is NONE
, then nothing is returned. (This setting is the default for ReturnValues
.)
ALL_OLD
- If PutItem
overwrote an attribute name-value pair, then the content of the old item is returned.
The ReturnValues
parameter is used by several DynamoDB operations; however, PutItem
does not recognize any values other than NONE
or ALL_OLD
.
Use ReturnValues
if you want to get the item attributes as they appear before or after they are updated. For UpdateItem
, the valid values are:
NONE
- If ReturnValues
is not specified, or if its value is NONE
, then nothing is returned. (This setting is the default for ReturnValues
.)
ALL_OLD
- Returns all of the attributes of the item, as they appeared before the UpdateItem operation.
UPDATED_OLD
- Returns only the updated attributes, as they appeared before the UpdateItem operation.
ALL_NEW
- Returns all of the attributes of the item, as they appear after the UpdateItem operation.
UPDATED_NEW
- Returns only the updated attributes, as they appear after the UpdateItem operation.
There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No read capacity units are consumed.
The values returned are strongly consistent.
" } }, "ScalarAttributeType": { "base": null, "refs": { "AttributeDefinition$AttributeType": "The data type for the attribute, where:
S
- the attribute is of type String
N
- the attribute is of type Number
B
- the attribute is of type Binary
Represents the input of a Scan
operation.
Represents the output of a Scan
operation.
For a parallel Scan
request, Segment
identifies an individual segment to be scanned by an application worker.
Segment IDs are zero-based, so the first segment is always 0. For example, if you want to use four application threads to scan a table or an index, then the first thread specifies a Segment
value of 0, the second thread specifies 1, and so on.
The value of LastEvaluatedKey
returned from a parallel Scan
request must be used as ExclusiveStartKey
with the same segment ID in a subsequent Scan
operation.
The value for Segment
must be greater than or equal to 0, and less than the value provided for TotalSegments
.
If you provide Segment
, you must also provide TotalSegments
.
For a parallel Scan
request, TotalSegments
represents the total number of segments into which the Scan
operation will be divided. The value of TotalSegments
corresponds to the number of application workers that will perform the parallel scan. For example, if you want to use four application threads to scan a table or an index, specify a TotalSegments
value of 4.
The value for TotalSegments
must be greater than or equal to 1, and less than or equal to 1000000. If you specify a TotalSegments
value of 1, the Scan
operation will be sequential rather than parallel.
If you specify TotalSegments
, you must also specify Segment
.
The amount of throughput consumed on each local index affected by the operation.
", "ConsumedCapacity$GlobalSecondaryIndexes": "The amount of throughput consumed on each global index affected by the operation.
" } }, "Select": { "base": null, "refs": { "QueryInput$Select": "The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.
ALL_ATTRIBUTES
- Returns all of the item attributes from the specified table or index. If you query a local secondary index, then for each matching item in the index DynamoDB will fetch the entire item from the parent table. If the index is configured to project all item attributes, then all of the data can be obtained from the local secondary index, and no fetching is required.
ALL_PROJECTED_ATTRIBUTES
- Allowed only when querying an index. Retrieves all attributes that have been projected into the index. If the index is configured to project all attributes, this return value is equivalent to specifying ALL_ATTRIBUTES
.
COUNT
- Returns the number of matching items, rather than the matching items themselves.
SPECIFIC_ATTRIBUTES
- Returns only the attributes listed in AttributesToGet
. This return value is equivalent to specifying AttributesToGet
without specifying any value for Select
.
If you query or scan a local secondary index and request only attributes that are projected into that index, the operation will read only the index and not the table. If any of the requested attributes are not projected into the local secondary index, DynamoDB will fetch each of these attributes from the parent table. This extra fetching incurs additional throughput cost and latency.
If you query or scan a global secondary index, you can only request attributes that are projected into the index. Global secondary index queries cannot fetch attributes from the parent table.
If neither Select
nor AttributesToGet
are specified, DynamoDB defaults to ALL_ATTRIBUTES
when accessing a table, and ALL_PROJECTED_ATTRIBUTES
when accessing an index. You cannot use both Select
and AttributesToGet
together in a single request, unless the value for Select
is SPECIFIC_ATTRIBUTES
. (This usage is equivalent to specifying AttributesToGet
without any value for Select
.)
If you use the ProjectionExpression
parameter, then the value for Select
can only be SPECIFIC_ATTRIBUTES
. Any other value for Select
will return an error.
The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.
ALL_ATTRIBUTES
- Returns all of the item attributes from the specified table or index. If you query a local secondary index, then for each matching item in the index DynamoDB will fetch the entire item from the parent table. If the index is configured to project all item attributes, then all of the data can be obtained from the local secondary index, and no fetching is required.
ALL_PROJECTED_ATTRIBUTES
- Allowed only when querying an index. Retrieves all attributes that have been projected into the index. If the index is configured to project all attributes, this return value is equivalent to specifying ALL_ATTRIBUTES
.
COUNT
- Returns the number of matching items, rather than the matching items themselves.
SPECIFIC_ATTRIBUTES
- Returns only the attributes listed in AttributesToGet
. This return value is equivalent to specifying AttributesToGet
without specifying any value for Select
.
If you query or scan a local secondary index and request only attributes that are projected into that index, the operation will read only the index and not the table. If any of the requested attributes are not projected into the local secondary index, DynamoDB will fetch each of these attributes from the parent table. This extra fetching incurs additional throughput cost and latency.
If you query or scan a global secondary index, you can only request attributes that are projected into the index. Global secondary index queries cannot fetch attributes from the parent table.
If neither Select
nor AttributesToGet
are specified, DynamoDB defaults to ALL_ATTRIBUTES
when accessing a table, and ALL_PROJECTED_ATTRIBUTES
when accessing an index. You cannot use both Select
and AttributesToGet
together in a single request, unless the value for Select
is SPECIFIC_ATTRIBUTES
. (This usage is equivalent to specifying AttributesToGet
without any value for Select
.)
If you use the ProjectionExpression
parameter, then the value for Select
can only be SPECIFIC_ATTRIBUTES
. Any other value for Select
will return an error.
Contains the details of the table when the backup was created.
", "refs": { "BackupDescription$SourceTableDetails": "Contains the details of the table when the backup was created.
" } }, "SourceTableFeatureDetails": { "base": "Contains the details of the features enabled on the table when the backup was created. For example, LSIs, GSIs, streams, TTL.
", "refs": { "BackupDescription$SourceTableFeatureDetails": "Contains the details of the features enabled on the table when the backup was created. For example, LSIs, GSIs, streams, TTL.
" } }, "StreamArn": { "base": null, "refs": { "TableDescription$LatestStreamArn": "The Amazon Resource Name (ARN) that uniquely identifies the latest stream for this table.
" } }, "StreamEnabled": { "base": null, "refs": { "StreamSpecification$StreamEnabled": "Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
" } }, "StreamSpecification": { "base": "Represents the DynamoDB Streams configuration for a table in DynamoDB.
", "refs": { "CreateTableInput$StreamSpecification": "The settings for DynamoDB Streams on the table. These settings consist of:
StreamEnabled
- Indicates whether Streams is to be enabled (true) or disabled (false).
StreamViewType
- When an item in the table is modified, StreamViewType
determines what information is written to the table's stream. Valid values for StreamViewType
are:
KEYS_ONLY
- Only the key attributes of the modified item are written to the stream.
NEW_IMAGE
- The entire item, as it appears after it was modified, is written to the stream.
OLD_IMAGE
- The entire item, as it appeared before it was modified, is written to the stream.
NEW_AND_OLD_IMAGES
- Both the new and the old item images of the item are written to the stream.
Stream settings on the table when the backup was created.
", "TableDescription$StreamSpecification": "The current DynamoDB Streams configuration for the table.
", "UpdateTableInput$StreamSpecification": "Represents the DynamoDB Streams configuration for the table.
You will receive a ResourceInUseException
if you attempt to enable a stream on a table that already has a stream, or if you attempt to disable a stream on a table which does not have a stream.
When an item in the table is modified, StreamViewType
determines what information is written to the stream for this table. Valid values for StreamViewType
are:
KEYS_ONLY
- Only the key attributes of the modified item are written to the stream.
NEW_IMAGE
- The entire item, as it appears after it was modified, is written to the stream.
OLD_IMAGE
- The entire item, as it appeared before it was modified, is written to the stream.
NEW_AND_OLD_IMAGES
- Both the new and the old item images of the item are written to the stream.
The Amazon Resource Name (ARN) that uniquely identifies the index.
", "LocalSecondaryIndexDescription$IndexArn": "The Amazon Resource Name (ARN) that uniquely identifies the index.
", "TableDescription$TableArn": "The Amazon Resource Name (ARN) that uniquely identifies the table.
", "TableDescription$LatestStreamLabel": "A timestamp, in ISO 8601 format, for this stream.
Note that LatestStreamLabel
is not a unique identifier for the stream, because it is possible that a stream from another table might have the same timestamp. However, the combination of the following three elements is guaranteed to be unique:
the AWS customer ID.
the table name.
the StreamLabel
.
An attribute of type String. For example:
\"S\": \"Hello\"
An attribute of type String Set. For example:
\"SS\": [\"Giraffe\", \"Hippo\" ,\"Zebra\"]
A table with the name already exists.
", "refs": { } }, "TableArn": { "base": null, "refs": { "BackupSummary$TableArn": "ARN associated with the table.
", "RestoreSummary$SourceTableArn": "ARN of the source table of the backup that is being restored.
", "SourceTableDetails$TableArn": "ARN of the table for which backup was created.
" } }, "TableCreationDateTime": { "base": null, "refs": { "SourceTableDetails$TableCreationDateTime": "Time when the source table was created.
" } }, "TableDescription": { "base": "Represents the properties of a table.
", "refs": { "CreateTableOutput$TableDescription": "Represents the properties of the table.
", "DeleteTableOutput$TableDescription": "Represents the properties of a table.
", "DescribeTableOutput$Table": "The properties of the table.
", "RestoreTableFromBackupOutput$TableDescription": "The description of the table created from an existing backup.
", "UpdateTableOutput$TableDescription": "Represents the properties of the table.
" } }, "TableId": { "base": null, "refs": { "BackupSummary$TableId": "Unique identifier for the table.
", "SourceTableDetails$TableId": "Unique identifier for the table for which the backup was created.
", "TableDescription$TableId": "Unique identifier for the table for which the backup was created.
" } }, "TableInUseException": { "base": "A table by that name is either being created or deleted.
", "refs": { } }, "TableName": { "base": null, "refs": { "BackupSummary$TableName": "Name of the table.
", "BatchGetRequestMap$key": null, "BatchGetResponseMap$key": null, "BatchWriteItemRequestMap$key": null, "ConsumedCapacity$TableName": "The name of the table that was affected by the operation.
", "CreateBackupInput$TableName": "The name of the table.
", "CreateGlobalTableInput$GlobalTableName": "The global table name.
", "CreateTableInput$TableName": "The name of the table to create.
", "DeleteItemInput$TableName": "The name of the table from which to delete the item.
", "DeleteTableInput$TableName": "The name of the table to delete.
", "DescribeContinuousBackupsInput$TableName": "Name of the table for which the customer wants to check the backup and restore settings.
", "DescribeGlobalTableInput$GlobalTableName": "The name of the global table.
", "DescribeTableInput$TableName": "The name of the table to describe.
", "DescribeTimeToLiveInput$TableName": "The name of the table to be described.
", "GetItemInput$TableName": "The name of the table containing the requested item.
", "GlobalTable$GlobalTableName": "The global table name.
", "GlobalTableDescription$GlobalTableName": "The global table name.
", "ItemCollectionMetricsPerTable$key": null, "ListBackupsInput$TableName": "The backups from the table specified by TableName are listed.
", "ListGlobalTablesInput$ExclusiveStartGlobalTableName": "The first global table name that this operation will evaluate.
", "ListGlobalTablesOutput$LastEvaluatedGlobalTableName": "Last evaluated global table name.
", "ListTablesInput$ExclusiveStartTableName": "The first table name that this operation will evaluate. Use the value that was returned for LastEvaluatedTableName
in a previous operation, so that you can obtain the next page of results.
The name of the last table in the current page of results. Use this value as the ExclusiveStartTableName
in a new request to obtain the next page of results, until all the table names are returned.
If you do not receive a LastEvaluatedTableName
value in the response, this means that there are no more table names to be retrieved.
The name of the table to contain the item.
", "QueryInput$TableName": "The name of the table containing the requested items.
", "RestoreTableFromBackupInput$TargetTableName": "The name of the new table to which the backup must be restored.
", "ScanInput$TableName": "The name of the table containing the requested items; or, if you provide IndexName
, the name of the table to which that index belongs.
The name of the table for which the backup was created.
", "TableDescription$TableName": "The name of the table.
", "TableNameList$member": null, "UpdateGlobalTableInput$GlobalTableName": "The global table name.
", "UpdateItemInput$TableName": "The name of the table containing the item to update.
", "UpdateTableInput$TableName": "The name of the table to be updated.
", "UpdateTimeToLiveInput$TableName": "The name of the table to be configured.
" } }, "TableNameList": { "base": null, "refs": { "ListTablesOutput$TableNames": "The names of the tables associated with the current account at the current endpoint. The maximum size of this array is 100.
If LastEvaluatedTableName
also appears in the output, you can use this value as the ExclusiveStartTableName
parameter in a subsequent ListTables
request and obtain the next page of results.
A table with the name TableName
does not currently exist within the subscriber's account.
The current state of the table:
CREATING
- The table is being created.
UPDATING
- The table is being updated.
DELETING
- The table is being deleted.
ACTIVE
- The table is ready for use.
Describes a tag. A tag is a key-value pair. You can add up to 50 tags to a single DynamoDB table.
AWS-assigned tag names and values are automatically assigned the aws: prefix, which the user cannot assign. AWS-assigned tag names do not count towards the tag limit of 50. User-assigned tag names have the prefix user: in the Cost Allocation Report. You cannot backdate the application of a tag.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.
", "refs": { "TagList$member": null } }, "TagKeyList": { "base": null, "refs": { "UntagResourceInput$TagKeys": "A list of tag keys. Existing tags of the resource whose keys are members of this list will be removed from the Amazon DynamoDB resource.
" } }, "TagKeyString": { "base": null, "refs": { "Tag$Key": "The key of the tag.Tag keys are case sensitive. Each DynamoDB table can only have up to one tag with the same key. If you try to add an existing tag (same key), the existing tag value will be updated to the new value.
", "TagKeyList$member": null } }, "TagList": { "base": null, "refs": { "ListTagsOfResourceOutput$Tags": "The tags currently associated with the Amazon DynamoDB resource.
", "TagResourceInput$Tags": "The tags to be assigned to the Amazon DynamoDB resource.
" } }, "TagResourceInput": { "base": null, "refs": { } }, "TagValueString": { "base": null, "refs": { "Tag$Value": "The value of the tag. Tag values are case-sensitive and can be null.
" } }, "TimeRangeLowerBound": { "base": null, "refs": { "ListBackupsInput$TimeRangeLowerBound": "Only backups created after this time are listed. TimeRangeLowerBound
is inclusive.
Only backups created before this time are listed. TimeRangeUpperBound
is exclusive.
The name of the Time to Live attribute for items in the table.
", "TimeToLiveSpecification$AttributeName": "The name of the Time to Live attribute used to store the expiration time for items in the table.
" } }, "TimeToLiveDescription": { "base": "The description of the Time to Live (TTL) status on the specified table.
", "refs": { "DescribeTimeToLiveOutput$TimeToLiveDescription": "", "SourceTableFeatureDetails$TimeToLiveDescription": "Time to Live settings on the table when the backup was created.
" } }, "TimeToLiveEnabled": { "base": null, "refs": { "TimeToLiveSpecification$Enabled": "Indicates whether Time To Live is to be enabled (true) or disabled (false) on the table.
" } }, "TimeToLiveSpecification": { "base": "Represents the settings used to enable or disable Time to Live for the specified table.
", "refs": { "UpdateTimeToLiveInput$TimeToLiveSpecification": "Represents the settings used to enable or disable Time to Live for the specified table.
", "UpdateTimeToLiveOutput$TimeToLiveSpecification": "Represents the output of an UpdateTimeToLive
operation.
The Time to Live status for the table.
" } }, "UntagResourceInput": { "base": null, "refs": { } }, "UpdateExpression": { "base": null, "refs": { "UpdateItemInput$UpdateExpression": "An expression that defines one or more attributes to be updated, the action to be performed on them, and new value(s) for them.
The following action values are available for UpdateExpression
.
SET
- Adds one or more attributes and values to an item. If any of these attribute already exist, they are replaced by the new values. You can also use SET
to add or subtract from an attribute that is of type Number. For example: SET myNum = myNum + :val
SET
supports the following functions:
if_not_exists (path, operand)
- if the item does not contain an attribute at the specified path, then if_not_exists
evaluates to operand; otherwise, it evaluates to path. You can use this function to avoid overwriting an attribute that may already be present in the item.
list_append (operand, operand)
- evaluates to a list with a new element added to it. You can append the new element to the start or the end of the list by reversing the order of the operands.
These function names are case-sensitive.
REMOVE
- Removes one or more attributes from an item.
ADD
- Adds the specified value to the item, if the attribute does not already exist. If the attribute does exist, then the behavior of ADD
depends on the data type of the attribute:
If the existing attribute is a number, and if Value
is also a number, then Value
is mathematically added to the existing attribute. If Value
is a negative number, then it is subtracted from the existing attribute.
If you use ADD
to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0
as the initial value.
Similarly, if you use ADD
for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses 0
as the initial value. For example, suppose that the item you want to update doesn't have an attribute named itemcount, but you decide to ADD
the number 3
to this attribute anyway. DynamoDB will create the itemcount attribute, set its initial value to 0
, and finally add 3
to it. The result will be a new itemcount attribute in the item, with a value of 3
.
If the existing data type is a set and if Value
is also a set, then Value
is added to the existing set. For example, if the attribute value is the set [1,2]
, and the ADD
action specified [3]
, then the final attribute value is [1,2,3]
. An error occurs if an ADD
action is specified for a set attribute and the attribute type specified does not match the existing set type.
Both sets must have the same primitive data type. For example, if the existing data type is a set of strings, the Value
must also be a set of strings.
The ADD
action only supports Number and set data types. In addition, ADD
can only be used on top-level attributes, not nested attributes.
DELETE
- Deletes an element from a set.
If a set of values is specified, then those values are subtracted from the old set. For example, if the attribute value was the set [a,b,c]
and the DELETE
action specifies [a,c]
, then the final attribute value is [b]
. Specifying an empty set is an error.
The DELETE
action only supports set data types. In addition, DELETE
can only be used on top-level attributes, not nested attributes.
You can have many actions in a single expression, such as the following: SET a=:value1, b=:value2 DELETE :value3, :value4, :value5
For more information on update expressions, see Modifying Items and Attributes in the Amazon DynamoDB Developer Guide.
" } }, "UpdateGlobalSecondaryIndexAction": { "base": "Represents the new provisioned throughput settings to be applied to a global secondary index.
", "refs": { "GlobalSecondaryIndexUpdate$Update": "The name of an existing global secondary index, along with new provisioned throughput settings to be applied to that index.
" } }, "UpdateGlobalTableInput": { "base": null, "refs": { } }, "UpdateGlobalTableOutput": { "base": null, "refs": { } }, "UpdateItemInput": { "base": "Represents the input of an UpdateItem
operation.
Represents the output of an UpdateItem
operation.
Represents the input of an UpdateTable
operation.
Represents the output of an UpdateTable
operation.
Represents the input of an UpdateTimeToLive
operation.
Represents an operation to perform - either DeleteItem
or PutItem
. You can only request one of these operations, not both, in a single WriteRequest
. If you do need to perform both of these operations, you will need to provide two separate WriteRequest
objects.