@ThreadSafe @Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AmazonTimestreamWriteAsyncClient extends AmazonTimestreamWriteClient implements AmazonTimestreamWriteAsync
AsyncHandler can be used to receive
notification when an asynchronous operation completes.
Amazon Timestream is a fast, scalable, fully managed time series database service that makes it easy to store and analyze trillions of time series data points per day. With Timestream, you can easily store and analyze IoT sensor data to derive insights from your IoT applications. You can analyze industrial telemetry to streamline equipment management and maintenance. You can also store and analyze log data and metrics to improve the performance and availability of your applications. Timestream is built from the ground up to effectively ingest, process, and store time series data. It organizes data to optimize query processing. It automatically scales based on the volume of data ingested and on the query volume to ensure you receive optimal performance while inserting and querying data. As your data grows over time, Timestream’s adaptive query processing engine spans across storage tiers to provide fast analysis while reducing costs.
LOGGING_AWS_REQUEST_METRICENDPOINT_PREFIX| Modifier and Type | Method and Description |
|---|---|
static AmazonTimestreamWriteAsyncClientBuilder |
asyncBuilder() |
Future<CreateDatabaseResult> |
createDatabaseAsync(CreateDatabaseRequest request)
Creates a new Timestream database.
|
Future<CreateDatabaseResult> |
createDatabaseAsync(CreateDatabaseRequest request,
AsyncHandler<CreateDatabaseRequest,CreateDatabaseResult> asyncHandler)
Creates a new Timestream database.
|
Future<CreateTableResult> |
createTableAsync(CreateTableRequest request)
The CreateTable operation adds a new table to an existing database in your account.
|
Future<CreateTableResult> |
createTableAsync(CreateTableRequest request,
AsyncHandler<CreateTableRequest,CreateTableResult> asyncHandler)
The CreateTable operation adds a new table to an existing database in your account.
|
Future<DeleteDatabaseResult> |
deleteDatabaseAsync(DeleteDatabaseRequest request)
Deletes a given Timestream database.
|
Future<DeleteDatabaseResult> |
deleteDatabaseAsync(DeleteDatabaseRequest request,
AsyncHandler<DeleteDatabaseRequest,DeleteDatabaseResult> asyncHandler)
Deletes a given Timestream database.
|
Future<DeleteTableResult> |
deleteTableAsync(DeleteTableRequest request)
Deletes a given Timestream table.
|
Future<DeleteTableResult> |
deleteTableAsync(DeleteTableRequest request,
AsyncHandler<DeleteTableRequest,DeleteTableResult> asyncHandler)
Deletes a given Timestream table.
|
Future<DescribeDatabaseResult> |
describeDatabaseAsync(DescribeDatabaseRequest request)
Returns information about the database, including the database name, time that the database was created, and the
total number of tables found within the database.
|
Future<DescribeDatabaseResult> |
describeDatabaseAsync(DescribeDatabaseRequest request,
AsyncHandler<DescribeDatabaseRequest,DescribeDatabaseResult> asyncHandler)
Returns information about the database, including the database name, time that the database was created, and the
total number of tables found within the database.
|
Future<DescribeEndpointsResult> |
describeEndpointsAsync(DescribeEndpointsRequest request)
DescribeEndpoints returns a list of available endpoints to make Timestream API calls against.
|
Future<DescribeEndpointsResult> |
describeEndpointsAsync(DescribeEndpointsRequest request,
AsyncHandler<DescribeEndpointsRequest,DescribeEndpointsResult> asyncHandler)
DescribeEndpoints returns a list of available endpoints to make Timestream API calls against.
|
Future<DescribeTableResult> |
describeTableAsync(DescribeTableRequest request)
Returns information about the table, including the table name, database name, retention duration of the memory
store and the magnetic store.
|
Future<DescribeTableResult> |
describeTableAsync(DescribeTableRequest request,
AsyncHandler<DescribeTableRequest,DescribeTableResult> asyncHandler)
Returns information about the table, including the table name, database name, retention duration of the memory
store and the magnetic store.
|
ExecutorService |
getExecutorService()
Returns the executor service used by this client to execute async requests.
|
Future<ListDatabasesResult> |
listDatabasesAsync(ListDatabasesRequest request)
Returns a list of your Timestream databases.
|
Future<ListDatabasesResult> |
listDatabasesAsync(ListDatabasesRequest request,
AsyncHandler<ListDatabasesRequest,ListDatabasesResult> asyncHandler)
Returns a list of your Timestream databases.
|
Future<ListTablesResult> |
listTablesAsync(ListTablesRequest request)
A list of tables, along with the name, status and retention properties of each table.
|
Future<ListTablesResult> |
listTablesAsync(ListTablesRequest request,
AsyncHandler<ListTablesRequest,ListTablesResult> asyncHandler)
A list of tables, along with the name, status and retention properties of each table.
|
Future<ListTagsForResourceResult> |
listTagsForResourceAsync(ListTagsForResourceRequest request)
List all tags on a Timestream resource.
|
Future<ListTagsForResourceResult> |
listTagsForResourceAsync(ListTagsForResourceRequest request,
AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)
List all tags on a Timestream resource.
|
void |
shutdown()
Shuts down the client, releasing all managed resources.
|
Future<TagResourceResult> |
tagResourceAsync(TagResourceRequest request)
Associate a set of tags with a Timestream resource.
|
Future<TagResourceResult> |
tagResourceAsync(TagResourceRequest request,
AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)
Associate a set of tags with a Timestream resource.
|
Future<UntagResourceResult> |
untagResourceAsync(UntagResourceRequest request)
Removes the association of tags from a Timestream resource.
|
Future<UntagResourceResult> |
untagResourceAsync(UntagResourceRequest request,
AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)
Removes the association of tags from a Timestream resource.
|
Future<UpdateDatabaseResult> |
updateDatabaseAsync(UpdateDatabaseRequest request)
Modifies the KMS key for an existing database.
|
Future<UpdateDatabaseResult> |
updateDatabaseAsync(UpdateDatabaseRequest request,
AsyncHandler<UpdateDatabaseRequest,UpdateDatabaseResult> asyncHandler)
Modifies the KMS key for an existing database.
|
Future<UpdateTableResult> |
updateTableAsync(UpdateTableRequest request)
Modifies the retention duration of the memory store and magnetic store for your Timestream table.
|
Future<UpdateTableResult> |
updateTableAsync(UpdateTableRequest request,
AsyncHandler<UpdateTableRequest,UpdateTableResult> asyncHandler)
Modifies the retention duration of the memory store and magnetic store for your Timestream table.
|
Future<WriteRecordsResult> |
writeRecordsAsync(WriteRecordsRequest request)
The WriteRecords operation enables you to write your time series data into Timestream.
|
Future<WriteRecordsResult> |
writeRecordsAsync(WriteRecordsRequest request,
AsyncHandler<WriteRecordsRequest,WriteRecordsResult> asyncHandler)
The WriteRecords operation enables you to write your time series data into Timestream.
|
builder, createDatabase, createTable, deleteDatabase, deleteTable, describeDatabase, describeEndpoints, describeTable, getCachedResponseMetadata, listDatabases, listTables, listTagsForResource, tagResource, untagResource, updateDatabase, updateTable, writeRecordsaddRequestHandler, addRequestHandler, configureRegion, getClientConfiguration, getEndpointPrefix, getMonitoringListeners, getRequestMetricsCollector, getServiceName, getSignerByURI, getSignerOverride, getSignerRegionOverride, getTimeOffset, makeImmutable, removeRequestHandler, removeRequestHandler, setEndpoint, setEndpoint, setRegion, setServiceNameIntern, setSignerRegionOverride, setTimeOffset, withEndpoint, withRegion, withRegion, withTimeOffsetequals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitcreateDatabase, createTable, deleteDatabase, deleteTable, describeDatabase, describeEndpoints, describeTable, getCachedResponseMetadata, listDatabases, listTables, listTagsForResource, tagResource, untagResource, updateDatabase, updateTable, writeRecordspublic static AmazonTimestreamWriteAsyncClientBuilder asyncBuilder()
public ExecutorService getExecutorService()
public Future<CreateDatabaseResult> createDatabaseAsync(CreateDatabaseRequest request)
AmazonTimestreamWriteAsyncCreates a new Timestream database. If the KMS key is not specified, the database will be encrypted with a Timestream managed KMS key located in your account. Refer to Amazon Web Services managed KMS keys for more info. Service quotas apply. See code sample for details.
createDatabaseAsync in interface AmazonTimestreamWriteAsyncpublic Future<CreateDatabaseResult> createDatabaseAsync(CreateDatabaseRequest request, AsyncHandler<CreateDatabaseRequest,CreateDatabaseResult> asyncHandler)
AmazonTimestreamWriteAsyncCreates a new Timestream database. If the KMS key is not specified, the database will be encrypted with a Timestream managed KMS key located in your account. Refer to Amazon Web Services managed KMS keys for more info. Service quotas apply. See code sample for details.
createDatabaseAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTableResult> createTableAsync(CreateTableRequest request)
AmazonTimestreamWriteAsyncThe CreateTable operation adds a new table to an existing database in your account. In an Amazon Web Services account, table names must be at least unique within each Region if they are in the same database. You may have identical table names in the same Region if the tables are in separate databases. While creating the table, you must specify the table name, database name, and the retention properties. Service quotas apply. See code sample for details.
createTableAsync in interface AmazonTimestreamWriteAsyncpublic Future<CreateTableResult> createTableAsync(CreateTableRequest request, AsyncHandler<CreateTableRequest,CreateTableResult> asyncHandler)
AmazonTimestreamWriteAsyncThe CreateTable operation adds a new table to an existing database in your account. In an Amazon Web Services account, table names must be at least unique within each Region if they are in the same database. You may have identical table names in the same Region if the tables are in separate databases. While creating the table, you must specify the table name, database name, and the retention properties. Service quotas apply. See code sample for details.
createTableAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDatabaseResult> deleteDatabaseAsync(DeleteDatabaseRequest request)
AmazonTimestreamWriteAsyncDeletes a given Timestream database. This is an irreversible operation. After a database is deleted, the time series data from its tables cannot be recovered.
All tables in the database must be deleted first, or a ValidationException error will be thrown.
Due to the nature of distributed retries, the operation can return either success or a ResourceNotFoundException. Clients should consider them equivalent.
See code sample for details.
deleteDatabaseAsync in interface AmazonTimestreamWriteAsyncpublic Future<DeleteDatabaseResult> deleteDatabaseAsync(DeleteDatabaseRequest request, AsyncHandler<DeleteDatabaseRequest,DeleteDatabaseResult> asyncHandler)
AmazonTimestreamWriteAsyncDeletes a given Timestream database. This is an irreversible operation. After a database is deleted, the time series data from its tables cannot be recovered.
All tables in the database must be deleted first, or a ValidationException error will be thrown.
Due to the nature of distributed retries, the operation can return either success or a ResourceNotFoundException. Clients should consider them equivalent.
See code sample for details.
deleteDatabaseAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteTableResult> deleteTableAsync(DeleteTableRequest request)
AmazonTimestreamWriteAsyncDeletes a given Timestream table. This is an irreversible operation. After a Timestream database table is deleted, the time series data stored in the table cannot be recovered.
Due to the nature of distributed retries, the operation can return either success or a ResourceNotFoundException. Clients should consider them equivalent.
See code sample for details.
deleteTableAsync in interface AmazonTimestreamWriteAsyncpublic Future<DeleteTableResult> deleteTableAsync(DeleteTableRequest request, AsyncHandler<DeleteTableRequest,DeleteTableResult> asyncHandler)
AmazonTimestreamWriteAsyncDeletes a given Timestream table. This is an irreversible operation. After a Timestream database table is deleted, the time series data stored in the table cannot be recovered.
Due to the nature of distributed retries, the operation can return either success or a ResourceNotFoundException. Clients should consider them equivalent.
See code sample for details.
deleteTableAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDatabaseResult> describeDatabaseAsync(DescribeDatabaseRequest request)
AmazonTimestreamWriteAsyncReturns information about the database, including the database name, time that the database was created, and the total number of tables found within the database. Service quotas apply. See code sample for details.
describeDatabaseAsync in interface AmazonTimestreamWriteAsyncpublic Future<DescribeDatabaseResult> describeDatabaseAsync(DescribeDatabaseRequest request, AsyncHandler<DescribeDatabaseRequest,DescribeDatabaseResult> asyncHandler)
AmazonTimestreamWriteAsyncReturns information about the database, including the database name, time that the database was created, and the total number of tables found within the database. Service quotas apply. See code sample for details.
describeDatabaseAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeEndpointsResult> describeEndpointsAsync(DescribeEndpointsRequest request)
AmazonTimestreamWriteAsyncDescribeEndpoints returns a list of available endpoints to make Timestream API calls against. This API is available through both Write and Query.
Because the Timestream SDKs are designed to transparently work with the service’s architecture, including the management and mapping of the service endpoints, it is not recommended that you use this API unless:
You are using VPC endpoints (Amazon Web Services PrivateLink) with Timestream
Your application uses a programming language that does not yet have SDK support
You require better control over the client-side implementation
For detailed information on how and when to use and implement DescribeEndpoints, see The Endpoint Discovery Pattern.
describeEndpointsAsync in interface AmazonTimestreamWriteAsyncpublic Future<DescribeEndpointsResult> describeEndpointsAsync(DescribeEndpointsRequest request, AsyncHandler<DescribeEndpointsRequest,DescribeEndpointsResult> asyncHandler)
AmazonTimestreamWriteAsyncDescribeEndpoints returns a list of available endpoints to make Timestream API calls against. This API is available through both Write and Query.
Because the Timestream SDKs are designed to transparently work with the service’s architecture, including the management and mapping of the service endpoints, it is not recommended that you use this API unless:
You are using VPC endpoints (Amazon Web Services PrivateLink) with Timestream
Your application uses a programming language that does not yet have SDK support
You require better control over the client-side implementation
For detailed information on how and when to use and implement DescribeEndpoints, see The Endpoint Discovery Pattern.
describeEndpointsAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTableResult> describeTableAsync(DescribeTableRequest request)
AmazonTimestreamWriteAsyncReturns information about the table, including the table name, database name, retention duration of the memory store and the magnetic store. Service quotas apply. See code sample for details.
describeTableAsync in interface AmazonTimestreamWriteAsyncpublic Future<DescribeTableResult> describeTableAsync(DescribeTableRequest request, AsyncHandler<DescribeTableRequest,DescribeTableResult> asyncHandler)
AmazonTimestreamWriteAsyncReturns information about the table, including the table name, database name, retention duration of the memory store and the magnetic store. Service quotas apply. See code sample for details.
describeTableAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDatabasesResult> listDatabasesAsync(ListDatabasesRequest request)
AmazonTimestreamWriteAsyncReturns a list of your Timestream databases. Service quotas apply. See code sample for details.
listDatabasesAsync in interface AmazonTimestreamWriteAsyncpublic Future<ListDatabasesResult> listDatabasesAsync(ListDatabasesRequest request, AsyncHandler<ListDatabasesRequest,ListDatabasesResult> asyncHandler)
AmazonTimestreamWriteAsyncReturns a list of your Timestream databases. Service quotas apply. See code sample for details.
listDatabasesAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTablesResult> listTablesAsync(ListTablesRequest request)
AmazonTimestreamWriteAsyncA list of tables, along with the name, status and retention properties of each table. See code sample for details.
listTablesAsync in interface AmazonTimestreamWriteAsyncpublic Future<ListTablesResult> listTablesAsync(ListTablesRequest request, AsyncHandler<ListTablesRequest,ListTablesResult> asyncHandler)
AmazonTimestreamWriteAsyncA list of tables, along with the name, status and retention properties of each table. See code sample for details.
listTablesAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request)
AmazonTimestreamWriteAsyncList all tags on a Timestream resource.
listTagsForResourceAsync in interface AmazonTimestreamWriteAsyncpublic Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request, AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)
AmazonTimestreamWriteAsyncList all tags on a Timestream resource.
listTagsForResourceAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<TagResourceResult> tagResourceAsync(TagResourceRequest request)
AmazonTimestreamWriteAsyncAssociate a set of tags with a Timestream resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking.
tagResourceAsync in interface AmazonTimestreamWriteAsyncpublic Future<TagResourceResult> tagResourceAsync(TagResourceRequest request, AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)
AmazonTimestreamWriteAsyncAssociate a set of tags with a Timestream resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking.
tagResourceAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request)
AmazonTimestreamWriteAsyncRemoves the association of tags from a Timestream resource.
untagResourceAsync in interface AmazonTimestreamWriteAsyncpublic Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request, AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)
AmazonTimestreamWriteAsyncRemoves the association of tags from a Timestream resource.
untagResourceAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateDatabaseResult> updateDatabaseAsync(UpdateDatabaseRequest request)
AmazonTimestreamWriteAsync
Modifies the KMS key for an existing database. While updating the database, you must specify the database name
and the identifier of the new KMS key to be used (KmsKeyId). If there are any concurrent
UpdateDatabase requests, first writer wins.
See code sample for details.
updateDatabaseAsync in interface AmazonTimestreamWriteAsyncpublic Future<UpdateDatabaseResult> updateDatabaseAsync(UpdateDatabaseRequest request, AsyncHandler<UpdateDatabaseRequest,UpdateDatabaseResult> asyncHandler)
AmazonTimestreamWriteAsync
Modifies the KMS key for an existing database. While updating the database, you must specify the database name
and the identifier of the new KMS key to be used (KmsKeyId). If there are any concurrent
UpdateDatabase requests, first writer wins.
See code sample for details.
updateDatabaseAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateTableResult> updateTableAsync(UpdateTableRequest request)
AmazonTimestreamWriteAsyncModifies the retention duration of the memory store and magnetic store for your Timestream table. Note that the change in retention duration takes effect immediately. For example, if the retention period of the memory store was initially set to 2 hours and then changed to 24 hours, the memory store will be capable of holding 24 hours of data, but will be populated with 24 hours of data 22 hours after this change was made. Timestream does not retrieve data from the magnetic store to populate the memory store.
See code sample for details.
updateTableAsync in interface AmazonTimestreamWriteAsyncpublic Future<UpdateTableResult> updateTableAsync(UpdateTableRequest request, AsyncHandler<UpdateTableRequest,UpdateTableResult> asyncHandler)
AmazonTimestreamWriteAsyncModifies the retention duration of the memory store and magnetic store for your Timestream table. Note that the change in retention duration takes effect immediately. For example, if the retention period of the memory store was initially set to 2 hours and then changed to 24 hours, the memory store will be capable of holding 24 hours of data, but will be populated with 24 hours of data 22 hours after this change was made. Timestream does not retrieve data from the magnetic store to populate the memory store.
See code sample for details.
updateTableAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<WriteRecordsResult> writeRecordsAsync(WriteRecordsRequest request)
AmazonTimestreamWriteAsyncThe WriteRecords operation enables you to write your time series data into Timestream. You can specify a single data point or a batch of data points to be inserted into the system. Timestream offers you with a flexible schema that auto detects the column names and data types for your Timestream tables based on the dimension names and data types of the data points you specify when invoking writes into the database. Timestream support eventual consistency read semantics. This means that when you query data immediately after writing a batch of data into Timestream, the query results might not reflect the results of a recently completed write operation. The results may also include some stale data. If you repeat the query request after a short time, the results should return the latest data. Service quotas apply.
See code sample for details.
Upserts
You can use the Version parameter in a WriteRecords request to update data points.
Timestream tracks a version number with each record. Version defaults to 1 when not
specified for the record in the request. Timestream will update an existing record’s measure value along with its
Version upon receiving a write request with a higher Version number for that record.
Upon receiving an update request where the measure value is the same as that of the existing record, Timestream
still updates Version, if it is greater than the existing value of Version. You can
update a data point as many times as desired, as long as the value of Version continuously
increases.
For example, suppose you write a new record without indicating Version in the request. Timestream
will store this record, and set Version to 1. Now, suppose you try to update this
record with a WriteRecords request of the same record with a different measure value but, like
before, do not provide Version. In this case, Timestream will reject this update with a
RejectedRecordsException since the updated record’s version is not greater than the existing value
of Version. However, if you were to resend the update request with Version set to 2,
Timestream would then succeed in updating the record’s value, and the Version would be set to
2. Next, suppose you sent a WriteRecords request with this same record and an identical
measure value, but with Version set to 3. In this case, Timestream would only update
Version to 3. Any further updates would need to send a version number greater than
3, or the update requests would receive a RejectedRecordsException.
writeRecordsAsync in interface AmazonTimestreamWriteAsyncpublic Future<WriteRecordsResult> writeRecordsAsync(WriteRecordsRequest request, AsyncHandler<WriteRecordsRequest,WriteRecordsResult> asyncHandler)
AmazonTimestreamWriteAsyncThe WriteRecords operation enables you to write your time series data into Timestream. You can specify a single data point or a batch of data points to be inserted into the system. Timestream offers you with a flexible schema that auto detects the column names and data types for your Timestream tables based on the dimension names and data types of the data points you specify when invoking writes into the database. Timestream support eventual consistency read semantics. This means that when you query data immediately after writing a batch of data into Timestream, the query results might not reflect the results of a recently completed write operation. The results may also include some stale data. If you repeat the query request after a short time, the results should return the latest data. Service quotas apply.
See code sample for details.
Upserts
You can use the Version parameter in a WriteRecords request to update data points.
Timestream tracks a version number with each record. Version defaults to 1 when not
specified for the record in the request. Timestream will update an existing record’s measure value along with its
Version upon receiving a write request with a higher Version number for that record.
Upon receiving an update request where the measure value is the same as that of the existing record, Timestream
still updates Version, if it is greater than the existing value of Version. You can
update a data point as many times as desired, as long as the value of Version continuously
increases.
For example, suppose you write a new record without indicating Version in the request. Timestream
will store this record, and set Version to 1. Now, suppose you try to update this
record with a WriteRecords request of the same record with a different measure value but, like
before, do not provide Version. In this case, Timestream will reject this update with a
RejectedRecordsException since the updated record’s version is not greater than the existing value
of Version. However, if you were to resend the update request with Version set to 2,
Timestream would then succeed in updating the record’s value, and the Version would be set to
2. Next, suppose you sent a WriteRecords request with this same record and an identical
measure value, but with Version set to 3. In this case, Timestream would only update
Version to 3. Any further updates would need to send a version number greater than
3, or the update requests would receive a RejectedRecordsException.
writeRecordsAsync in interface AmazonTimestreamWriteAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public void shutdown()
getExecutorService().shutdown() followed by getExecutorService().awaitTermination() prior to
calling this method.shutdown in interface AmazonTimestreamWriteshutdown in class AmazonTimestreamWriteClient