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/*
* Copyright 2019-2024 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.timestreamwrite;
import javax.annotation.Generated;
import com.amazonaws.*;
import com.amazonaws.regions.*;
import com.amazonaws.services.timestreamwrite.model.*;
/**
* Interface for accessing Timestream Write.
*
* Note: Do not directly implement this interface, new methods are added to it regularly. Extend from
* {@link com.amazonaws.services.timestreamwrite.AbstractAmazonTimestreamWrite} instead.
*
*
* Amazon Timestream Write
*
* 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.
*
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public interface AmazonTimestreamWrite {
/**
* The region metadata service name for computing region endpoints. You can use this value to retrieve metadata
* (such as supported regions) of the service.
*
* @see RegionUtils#getRegionsForService(String)
*/
String ENDPOINT_PREFIX = "ingest.timestream";
/**
*
* Creates a new Timestream batch load task. A batch load task processes data from a CSV source in an S3 location
* and writes to a Timestream table. A mapping from source to target is defined in a batch load task. Errors and
* events are written to a report at an S3 location. For the report, if the KMS key is not specified, the report
* will be encrypted with an S3 managed key when SSE_S3 is the option. Otherwise an error is thrown.
* For more information, see Amazon Web Services
* managed keys. Service
* quotas apply. For details, see code
* sample.
*
*
* @param createBatchLoadTaskRequest
* @return Result of the CreateBatchLoadTask operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws ValidationException
* An invalid or malformed request.
* @throws ConflictException
* Timestream was unable to process this request because it contains resource that already exists.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws ServiceQuotaExceededException
* The instance quota of resource exceeded for this account.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.CreateBatchLoadTask
* @see AWS API Documentation
*/
CreateBatchLoadTaskResult createBatchLoadTask(CreateBatchLoadTaskRequest createBatchLoadTaskRequest);
/**
*
* Creates 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. For more information, see Amazon Web Services
* managed keys. Service
* quotas apply. For details, see code sample.
*
*
* @param createDatabaseRequest
* @return Result of the CreateDatabase operation returned by the service.
* @throws ConflictException
* Timestream was unable to process this request because it contains resource that already exists.
* @throws ValidationException
* An invalid or malformed request.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws ServiceQuotaExceededException
* The instance quota of resource exceeded for this account.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.CreateDatabase
* @see AWS API Documentation
*/
CreateDatabaseResult createDatabase(CreateDatabaseRequest createDatabaseRequest);
/**
*
* 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 might 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.
*
*
* @param createTableRequest
* @return Result of the CreateTable operation returned by the service.
* @throws ConflictException
* Timestream was unable to process this request because it contains resource that already exists.
* @throws ValidationException
* An invalid or malformed request.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws ServiceQuotaExceededException
* The instance quota of resource exceeded for this account.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.CreateTable
* @see AWS
* API Documentation
*/
CreateTableResult createTable(CreateTableRequest createTableRequest);
/**
*
* Deletes 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.
*
*
* @param deleteDatabaseRequest
* @return Result of the DeleteDatabase operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws ValidationException
* An invalid or malformed request.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.DeleteDatabase
* @see AWS API Documentation
*/
DeleteDatabaseResult deleteDatabase(DeleteDatabaseRequest deleteDatabaseRequest);
/**
*
* Deletes 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.
*
*
* @param deleteTableRequest
* @return Result of the DeleteTable operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ValidationException
* An invalid or malformed request.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.DeleteTable
* @see AWS
* API Documentation
*/
DeleteTableResult deleteTable(DeleteTableRequest deleteTableRequest);
/**
*
* Returns information about the batch load task, including configurations, mappings, progress, and other details.
* Service quotas apply.
* See code
* sample for details.
*
*
* @param describeBatchLoadTaskRequest
* @return Result of the DescribeBatchLoadTask operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.DescribeBatchLoadTask
* @see AWS API Documentation
*/
DescribeBatchLoadTaskResult describeBatchLoadTask(DescribeBatchLoadTaskRequest describeBatchLoadTaskRequest);
/**
*
* 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. Service quotas apply. See
* code
* sample for details.
*
*
* @param describeDatabaseRequest
* @return Result of the DescribeDatabase operation returned by the service.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws ValidationException
* An invalid or malformed request.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.DescribeDatabase
* @see AWS API Documentation
*/
DescribeDatabaseResult describeDatabase(DescribeDatabaseRequest describeDatabaseRequest);
/**
*
* Returns a list of available endpoints to make Timestream API calls against. This API operation is available
* through both the Write and Query APIs.
*
*
* Because the Timestream SDKs are designed to transparently work with the service’s architecture, including the
* management and mapping of the service endpoints, we don't recommend that you use this API operation
* 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.
*
*
* @param describeEndpointsRequest
* @return Result of the DescribeEndpoints operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ValidationException
* An invalid or malformed request.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @sample AmazonTimestreamWrite.DescribeEndpoints
* @see AWS API Documentation
*/
DescribeEndpointsResult describeEndpoints(DescribeEndpointsRequest describeEndpointsRequest);
/**
*
* Returns 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.
*
*
* @param describeTableRequest
* @return Result of the DescribeTable operation returned by the service.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws ValidationException
* An invalid or malformed request.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.DescribeTable
* @see AWS
* API Documentation
*/
DescribeTableResult describeTable(DescribeTableRequest describeTableRequest);
/**
*
* Provides a list of batch load tasks, along with the name, status, when the task is resumable until, and other
* details. See code
* sample for details.
*
*
* @param listBatchLoadTasksRequest
* @return Result of the ListBatchLoadTasks operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ValidationException
* An invalid or malformed request.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.ListBatchLoadTasks
* @see AWS API Documentation
*/
ListBatchLoadTasksResult listBatchLoadTasks(ListBatchLoadTasksRequest listBatchLoadTasksRequest);
/**
*
* Returns a list of your Timestream databases. Service quotas apply. See
* code sample
* for details.
*
*
* @param listDatabasesRequest
* @return Result of the ListDatabases operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ValidationException
* An invalid or malformed request.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.ListDatabases
* @see AWS
* API Documentation
*/
ListDatabasesResult listDatabases(ListDatabasesRequest listDatabasesRequest);
/**
*
* Provides a list of tables, along with the name, status, and retention properties of each table. See code sample
* for details.
*
*
* @param listTablesRequest
* @return Result of the ListTables operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ValidationException
* An invalid or malformed request.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.ListTables
* @see AWS
* API Documentation
*/
ListTablesResult listTables(ListTablesRequest listTablesRequest);
/**
*
* Lists all tags on a Timestream resource.
*
*
* @param listTagsForResourceRequest
* @return Result of the ListTagsForResource operation returned by the service.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ValidationException
* An invalid or malformed request.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.ListTagsForResource
* @see AWS API Documentation
*/
ListTagsForResourceResult listTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest);
/**
*
*
*
* @param resumeBatchLoadTaskRequest
* @return Result of the ResumeBatchLoadTask operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws ValidationException
* An invalid or malformed request.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.ResumeBatchLoadTask
* @see AWS API Documentation
*/
ResumeBatchLoadTaskResult resumeBatchLoadTask(ResumeBatchLoadTaskRequest resumeBatchLoadTaskRequest);
/**
*
* Associates 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.
*
*
* @param tagResourceRequest
* @return Result of the TagResource operation returned by the service.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws ServiceQuotaExceededException
* The instance quota of resource exceeded for this account.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ValidationException
* An invalid or malformed request.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.TagResource
* @see AWS
* API Documentation
*/
TagResourceResult tagResource(TagResourceRequest tagResourceRequest);
/**
*
* Removes the association of tags from a Timestream resource.
*
*
* @param untagResourceRequest
* @return Result of the UntagResource operation returned by the service.
* @throws ValidationException
* An invalid or malformed request.
* @throws ServiceQuotaExceededException
* The instance quota of resource exceeded for this account.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.UntagResource
* @see AWS
* API Documentation
*/
UntagResourceResult untagResource(UntagResourceRequest untagResourceRequest);
/**
*
* 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.
*
*
* @param updateDatabaseRequest
* @return Result of the UpdateDatabase operation returned by the service.
* @throws ValidationException
* An invalid or malformed request.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws ServiceQuotaExceededException
* The instance quota of resource exceeded for this account.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.UpdateDatabase
* @see AWS API Documentation
*/
UpdateDatabaseResult updateDatabase(UpdateDatabaseRequest updateDatabaseRequest);
/**
*
* Modifies 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.
*
*
* @param updateTableRequest
* @return Result of the UpdateTable operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ValidationException
* An invalid or malformed request.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.UpdateTable
* @see AWS
* API Documentation
*/
UpdateTableResult updateTable(UpdateTableRequest updateTableRequest);
/**
*
* 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 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 supports 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 it's
* not specified for the record in the request. Timestream updates an existing record’s measure value along with its
* Version when it receives a write request with a higher Version number for that record.
* When it receives 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
* stores 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.
*
*
* @param writeRecordsRequest
* @return Result of the WriteRecords operation returned by the service.
* @throws InternalServerException
* Timestream was unable to fully process this request because of an internal server error.
* @throws ThrottlingException
* Too many requests were made by a user and they exceeded the service quotas. The request was throttled.
* @throws ValidationException
* An invalid or malformed request.
* @throws ResourceNotFoundException
* The operation tried to access a nonexistent resource. The resource might not be specified correctly, or
* its status might not be ACTIVE.
* @throws AccessDeniedException
* You are not authorized to perform this action.
* @throws RejectedRecordsException
* WriteRecords would throw this exception in the following cases:
*
* -
*
* Records with duplicate data where there are multiple records with the same dimensions, timestamps, and
* measure names but:
*
*
* -
*
* Measure values are different
*
*
* -
*
* Version is not present in the request or the value of version in the new record is equal to or
* lower than the existing value
*
*
*
*
* In this case, if Timestream rejects data, the ExistingVersion field in the
* RejectedRecords response will indicate the current record’s version. To force an update, you
* can resend the request with a version for the record set to a value greater than the
* ExistingVersion.
*
*
* -
*
* Records with timestamps that lie outside the retention duration of the memory store.
*
*
* -
*
* Records with dimensions or measures that exceed the Timestream defined limits.
*
*
*
*
* For more information, see Quotas in the
* Amazon Timestream Developer Guide.
* @throws InvalidEndpointException
* The requested endpoint was not valid.
* @sample AmazonTimestreamWrite.WriteRecords
* @see AWS
* API Documentation
*/
WriteRecordsResult writeRecords(WriteRecordsRequest writeRecordsRequest);
/**
* Shuts down this client object, releasing any resources that might be held open. This is an optional method, and
* callers are not expected to call it, but can if they want to explicitly release any open resources. Once a client
* has been shutdown, it should not be used to make any more requests.
*/
void shutdown();
/**
* Returns additional metadata for a previously executed successful request, typically used for debugging issues
* where a service isn't acting as expected. This data isn't considered part of the result data returned by an
* operation, so it's available through this separate, diagnostic interface.
*
* Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic
* information for an executed request, you should use this method to retrieve it as soon as possible after
* executing a request.
*
* @param request
* The originally executed request.
*
* @return The response metadata for the specified request, or null if none is available.
*/
ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request);
}