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If execution succeeds, the parameter setting may be left blank. job_id No String Job ID You can get the value by calling Submitting a SQL Job (Recommended). job_type No String Job type, including DDL, DCL, IMPORT, EXPORT, QUERY, INSERT, DATA_MIGRATION, UPDATE, DELETE, RESTART_QUEUE
If the UDAF is no longer used, run the following statement to delete it: Drop FUNCTION AvgFilterUDAFDemo; Parent topic: SQL Jobs
Delete: Delete a job. NOTE: Deleted jobs cannot be restored. Modify Name and Description: You can modify the name and description of a job. Import Savepoint: Import the data exported from the original Cloud Stream Service (CS) job.
PackageResource packageResource=client.getResource(resourceName,group); System.out.println(packageResource); } Deleting a Resource Package You can call an API to delete an uploaded resource package.
You can delete the comment by setting the comment information to NULL.
Delete this line if it is not required. feature="basic", # Job feature, which indicates the Spark image type used by the user job. It is typically set to basic.
Use the UDTF created in 6 in the SELECT statement as follows: select mytestsplit('abc:123\;efd:567\;utf:890'); Figure 13 Execution result (Optional) Delete the UDTF.
java.lang.IllegalStateException: The "before" field of UPDATE/DELETE message is null, please check the Postgres table has been set REPLICA IDENTITY to FULL level. You can update the setting by running the command in Postgres 'ALTER TABLE test.cdc_order REPLICA IDENTITY FULL'.
Table 1 Supported actions for LakeFormation SQL resources Resource Type Permission Type Database ALL ALTER DROP DESCRIBE LIST_TABLE LIST_FUNC CREATE_TABLE CREATE_FUNC Table/View ALL ALTER DROP DESCRIBE UPDATE INSERT SELECT DELETE Column SELECT Function ALL ALTER DROP DESCRIBE EXEC
Do not delete the agency created by the system by default.
Scenario CU range of the elastic resource pool: 64 CUs to 128 CUs Actual CUs of the elastic resource pool: 96 CUs Objective of the elastic resource pool: 64 CUs Procedure Reduce the maximum CUs of the queues or delete some queues so that the total CUs of the queues equal 64 CUs.
Do not delete this environment variable. Connect ODBC to DLI. In Windows, click Control Panel, double-click Administrative Tools, and double-click ODBC Data Source (64-bit). Configure an ODBC data source. Click User DSN. Click Add.
Example Request Grant user2 the permission to query data in the database db1, delete the data table db1.tbl, and query data in a specified column db1.tbl.column1 of a data table. { "user_name": "user2", "action": "grant", "privileges": [ { "object": "databases.db1.
long, name string) using css options( 'es.nodes' = '192.168.9.213:9200', 'es.nodes.wan.only' = 'true','resource' ='/mytest')"); Insert data. sparkSession.sql("insert into css_table values(18, 'John'),(28, 'Bob')"); Query data. sparkSession.sql("select * from css_table").show(); Delete
This may have limitation when used in upsert-kafka, because upsert-kafka treats null values as a tombstone message (DELETE on the key). Therefore, we recommend avoiding using upsert-kafka connector and the raw format as a value.format if the field can have a null value.
Constraints None Range None Default Value None Example Request Grant a project (ID: 0732e57c728025922f04c01273686950) the permission to query data in the database db1, delete the data table db1.tbl, and query data in a specified column db1.tbl.column1 of a data table. { "projectId
Do not delete the agency created by the system by default. Table 1 DLI agencies Agency Type Description dli_admin_agency Default agency This agency has been deprecated and is not recommended. Upgrade the agency to dli_management_agency as soon as possible.
It will write INSERT/UPDATE_AFTER data as normal Kafka messages value, and write DELETE data as Kafka messages with null values (indicate tombstone for the key).
For example, you can create IAM users for some software developers in your organization to allow them to use DLI resources but not to delete resources. Table 1 describes the DLI permission types.
Flink supports to interpret Debezium JSON and Avro messages as INSERT/UPDATE/DELETE messages into Flink SQL system.
