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Implementation for accessing TimestreamWrite
Amazon Timestream WriteAmazon 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.
Namespace: Amazon.TimestreamWrite
Assembly: AWSSDK.TimestreamWrite.dll
Version: 3.x.y.z
public class AmazonTimestreamWriteClient : AmazonServiceClient IAmazonService, IAmazonTimestreamWrite, IDisposable
The AmazonTimestreamWriteClient type exposes the following members
Name | Description | |
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AmazonTimestreamWriteClient() |
Constructs AmazonTimestreamWriteClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration> |
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AmazonTimestreamWriteClient(RegionEndpoint) |
Constructs AmazonTimestreamWriteClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration> |
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AmazonTimestreamWriteClient(AmazonTimestreamWriteConfig) |
Constructs AmazonTimestreamWriteClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration> |
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AmazonTimestreamWriteClient(AWSCredentials) |
Constructs AmazonTimestreamWriteClient with AWS Credentials |
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AmazonTimestreamWriteClient(AWSCredentials, RegionEndpoint) |
Constructs AmazonTimestreamWriteClient with AWS Credentials |
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AmazonTimestreamWriteClient(AWSCredentials, AmazonTimestreamWriteConfig) |
Constructs AmazonTimestreamWriteClient with AWS Credentials and an AmazonTimestreamWriteClient Configuration object. |
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AmazonTimestreamWriteClient(string, string) |
Constructs AmazonTimestreamWriteClient with AWS Access Key ID and AWS Secret Key |
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AmazonTimestreamWriteClient(string, string, RegionEndpoint) |
Constructs AmazonTimestreamWriteClient with AWS Access Key ID and AWS Secret Key |
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AmazonTimestreamWriteClient(string, string, AmazonTimestreamWriteConfig) |
Constructs AmazonTimestreamWriteClient with AWS Access Key ID, AWS Secret Key and an AmazonTimestreamWriteClient Configuration object. |
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AmazonTimestreamWriteClient(string, string, string) |
Constructs AmazonTimestreamWriteClient with AWS Access Key ID and AWS Secret Key |
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AmazonTimestreamWriteClient(string, string, string, RegionEndpoint) |
Constructs AmazonTimestreamWriteClient with AWS Access Key ID and AWS Secret Key |
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AmazonTimestreamWriteClient(string, string, string, AmazonTimestreamWriteConfig) |
Constructs AmazonTimestreamWriteClient with AWS Access Key ID, AWS Secret Key and an AmazonTimestreamWriteClient Configuration object. |
Name | Type | Description | |
---|---|---|---|
Config | Amazon.Runtime.IClientConfig | Inherited from Amazon.Runtime.AmazonServiceClient. | |
Paginators | Amazon.TimestreamWrite.Model.ITimestreamWritePaginatorFactory |
Paginators for the service |
Name | Description | |
---|---|---|
CreateBatchLoadTask(CreateBatchLoadTaskRequest) |
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 |
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CreateBatchLoadTaskAsync(CreateBatchLoadTaskRequest, CancellationToken) |
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 |
|
CreateDatabase(CreateDatabaseRequest) |
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. |
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CreateDatabaseAsync(CreateDatabaseRequest, CancellationToken) |
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. |
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CreateTable(CreateTableRequest) |
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. |
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CreateTableAsync(CreateTableRequest, CancellationToken) |
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. |
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DeleteDatabase(DeleteDatabaseRequest) |
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. |
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DeleteDatabaseAsync(DeleteDatabaseRequest, CancellationToken) |
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. |
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DeleteTable(DeleteTableRequest) |
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. |
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DeleteTableAsync(DeleteTableRequest, CancellationToken) |
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. |
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DescribeBatchLoadTask(DescribeBatchLoadTaskRequest) |
Returns information about the batch load task, including configurations, mappings, progress, and other details. Service quotas apply. See code sample for details. |
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DescribeBatchLoadTaskAsync(DescribeBatchLoadTaskRequest, CancellationToken) |
Returns information about the batch load task, including configurations, mappings, progress, and other details. Service quotas apply. See code sample for details. |
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DescribeDatabase(DescribeDatabaseRequest) |
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. |
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DescribeDatabaseAsync(DescribeDatabaseRequest, CancellationToken) |
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. |
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DescribeEndpoints(DescribeEndpointsRequest) |
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:
For detailed information on how and when to use and implement DescribeEndpoints, see The Endpoint Discovery Pattern. |
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DescribeEndpointsAsync(DescribeEndpointsRequest, CancellationToken) |
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:
For detailed information on how and when to use and implement DescribeEndpoints, see The Endpoint Discovery Pattern. |
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DescribeTable(DescribeTableRequest) |
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. |
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DescribeTableAsync(DescribeTableRequest, CancellationToken) |
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. |
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DetermineServiceOperationEndpoint(AmazonWebServiceRequest) |
Returns the endpoint that will be used for a particular request. |
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Dispose() | Inherited from Amazon.Runtime.AmazonServiceClient. | |
ListBatchLoadTasks(ListBatchLoadTasksRequest) |
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. |
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ListBatchLoadTasksAsync(ListBatchLoadTasksRequest, CancellationToken) |
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. |
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ListDatabases(ListDatabasesRequest) |
Returns a list of your Timestream databases. Service quotas apply. See code sample for details. |
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ListDatabasesAsync(ListDatabasesRequest, CancellationToken) |
Returns a list of your Timestream databases. Service quotas apply. See code sample for details. |
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ListTables(ListTablesRequest) |
Provides a list of tables, along with the name, status, and retention properties of each table. See code sample for details. |
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ListTablesAsync(ListTablesRequest, CancellationToken) |
Provides a list of tables, along with the name, status, and retention properties of each table. See code sample for details. |
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ListTagsForResource(ListTagsForResourceRequest) |
Lists all tags on a Timestream resource. |
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ListTagsForResourceAsync(ListTagsForResourceRequest, CancellationToken) |
Lists all tags on a Timestream resource. |
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ResumeBatchLoadTask(ResumeBatchLoadTaskRequest) |
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ResumeBatchLoadTaskAsync(ResumeBatchLoadTaskRequest, CancellationToken) |
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TagResource(TagResourceRequest) |
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. |
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TagResourceAsync(TagResourceRequest, CancellationToken) |
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. |
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UntagResource(UntagResourceRequest) |
Removes the association of tags from a Timestream resource. |
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UntagResourceAsync(UntagResourceRequest, CancellationToken) |
Removes the association of tags from a Timestream resource. |
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UpdateDatabase(UpdateDatabaseRequest) |
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 ( See code sample for details. |
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UpdateDatabaseAsync(UpdateDatabaseRequest, CancellationToken) |
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 ( See code sample for details. |
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UpdateTable(UpdateTableRequest) |
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. |
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UpdateTableAsync(UpdateTableRequest, CancellationToken) |
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. |
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WriteRecords(WriteRecordsRequest) |
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
For example, suppose you write a new record without indicating
However, if you were to resend the update request with |
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WriteRecordsAsync(WriteRecordsRequest, CancellationToken) |
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
For example, suppose you write a new record without indicating
However, if you were to resend the update request with |
Name | Description | |
---|---|---|
AfterResponseEvent | Inherited from Amazon.Runtime.AmazonServiceClient. | |
BeforeRequestEvent | Inherited from Amazon.Runtime.AmazonServiceClient. | |
ExceptionEvent | Inherited from Amazon.Runtime.AmazonServiceClient. |
.NET:
Supported in: 8.0 and newer, Core 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.5 and newer, 3.5