Batch Execute Statement
| redshiftdataapiservice_batch_execute_statement | R Documentation |
Runs one or more SQL statements, which can be data manipulation language (DML) or data definition language (DDL)¶
Description¶
Runs one or more SQL statements, which can be data manipulation language (DML) or data definition language (DDL). Depending on the authorization method, use one of the following combinations of request parameters:
-
Secrets Manager - when connecting to a cluster, provide the
secret-arnof a secret stored in Secrets Manager which hasusernameandpassword. The specified secret contains credentials to connect to thedatabaseyou specify. When you are connecting to a cluster, you also supply the database name, If you provide a cluster identifier (dbClusterIdentifier), it must match the cluster identifier stored in the secret. When you are connecting to a serverless workgroup, you also supply the database name. -
Temporary credentials - when connecting to your data warehouse, choose one of the following options:
-
When connecting to a serverless workgroup, specify the workgroup name and database name. The database user name is derived from the IAM identity. For example,
arn:iam::123456789012:user:foohas the database user nameIAM:foo. Also, permission to call theredshift-serverless:GetCredentialsoperation is required. -
When connecting to a cluster as an IAM identity, specify the cluster identifier and the database name. The database user name is derived from the IAM identity. For example,
arn:iam::123456789012:user:foohas the database user nameIAM:foo. Also, permission to call theredshift:GetClusterCredentialsWithIAMoperation is required. -
When connecting to a cluster as a database user, specify the cluster identifier, the database name, and the database user name. Also, permission to call the
redshift:GetClusterCredentialsoperation is required.
-
For more information about the Amazon Redshift Data API and CLI usage examples, see Using the Amazon Redshift Data API in the Amazon Redshift Management Guide.
Usage¶
redshiftdataapiservice_batch_execute_statement(ClientToken,
ClusterIdentifier, Database, DbUser, SecretArn, SessionId,
SessionKeepAliveSeconds, Sqls, StatementName, WithEvent, WorkgroupName)
Arguments¶
ClientTokenA unique, case-sensitive identifier that you provide to ensure the idempotency of the request.
ClusterIdentifierThe cluster identifier. This parameter is required when connecting to a cluster and authenticating using either Secrets Manager or temporary credentials.
DatabaseThe name of the database. This parameter is required when authenticating using either Secrets Manager or temporary credentials.
DbUserThe database user name. This parameter is required when connecting to a cluster as a database user and authenticating using temporary credentials.
SecretArnThe name or ARN of the secret that enables access to the database. This parameter is required when authenticating using Secrets Manager.
SessionIdThe session identifier of the query.
SessionKeepAliveSecondsThe number of seconds to keep the session alive after the query finishes. The maximum time a session can keep alive is 24 hours. After 24 hours, the session is forced closed and the query is terminated.
Sqls[required] One or more SQL statements to run.
The SQL statements are run as a single transaction. They run serially in the order of the array. Subsequent SQL statements don\'t start until the previous statement in the array completes. If any SQL statement fails, then because they are run as one transaction, all work is rolled back.</p>StatementNameThe name of the SQL statements. You can name the SQL statements when you create them to identify the query.
WithEventA value that indicates whether to send an event to the Amazon EventBridge event bus after the SQL statements run.
WorkgroupNameThe serverless workgroup name or Amazon Resource Name (ARN). This parameter is required when connecting to a serverless workgroup and authenticating using either Secrets Manager or temporary credentials.
Value¶
A list with the following syntax:
list(
ClusterIdentifier = "string",
CreatedAt = as.POSIXct(
"2015-01-01"
),
Database = "string",
DbGroups = list(
"string"
),
DbUser = "string",
Id = "string",
SecretArn = "string",
SessionId = "string",
WorkgroupName = "string"
)