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        • Creating and Submitting a SQL Job - Data Lake Insight

          Creating and Submitting a SQL Job - Data Lake Insight

          On the OBS console, you can configure lifecycle rules for a bucket to periodically delete objects in it or change object storage classes. For details, see Configuring a Lifecycle Rule.

          Help > Data Lake Insight > User Guide > Submitting a SQL Job Using DLI
        • Typical Hudi Configuration Parameters - Data Lake Insight

          Typical Hudi Configuration Parameters - Data Lake Insight

          Currently, upsert, delete, insert, and bulk_insert are supported. upsert: updates and inserts data. delete: deletes data. insert: inserts data. bulk_insert: imports data during initial table creation.

          Help > Data Lake Insight > Hudi SQL Syntax Reference
        • Querying Logs for Spark Jobs - Data Lake Insight

          Querying Logs for Spark Jobs - Data Lake Insight

          You can configure lifecycle rules to periodically delete objects from buckets or change storage classes of objects. Exercise caution when modifying the job bucket, as it may result in the inability to retrieve historical data.

          Help > Data Lake Insight > User Guide > Submitting a Spark Job Using DLI
        • Querying Logs for SQL Jobs - Data Lake Insight

          Querying Logs for SQL Jobs - Data Lake Insight

          You can configure lifecycle rules to periodically delete objects from buckets or change storage classes of objects. Exercise caution when modifying the job bucket, as it may result in the inability to retrieve historical data.

          Help > Data Lake Insight > User Guide > Submitting a SQL Job Using DLI
        • ALTER TABLE - Data Lake Insight

          ALTER TABLE - Data Lake Insight

          ALTER TABLE name ADD COLUMN column_name data_type [ COMMENT comment ] [ WITH ( property_name = expression [, ...] ) ] The following statement is used to delete the column_name column from the table.

          Help > Data Lake Insight > HetuEngine SQL Syntax Reference > HetuEngine SQL Syntax > DDL Syntax
        • Table-Related SDKs - Data Lake Insight

          Table-Related SDKs - Data Lake Insight

          List<Table> tables = database.listAllTables(); for (Table table : tables) { // Traverse tables and call the deleteTable interface of the Table object to delete tables.

          Help > Data Lake Insight > SDK Reference > DLI SDK V1 (Not Recommended) > Java SDK (DLI SDK V1) > SDKs Related to SQL Jobs
        • Resource-Related SDKs - Data Lake Insight

          Resource-Related SDKs - Data Lake Insight

          get_package_resource(dli_client, resource_name, group_name): try: pkg_resource = dli_client.get_package_resource(resource_name, group_name) print(pkg_resource) except DliException as e: print(e) return Deleting a Resource Package You can call an API to delete

          Help > Data Lake Insight > SDK Reference > DLI SDK V1 (Not Recommended) > Python SDK (DLI SDK V1)
        • Overview - Data Lake Insight

          Overview - Data Lake Insight

          For example, some software developers in your enterprise need to use DLI resources but must not delete them or perform any high-risk operations.

          Help > Data Lake Insight > User Guide > Permissions Management
        • Setting a Scheduled Auto Scaling Task for a Standard Queue - Data Lake Insight

          Setting a Scheduled Auto Scaling Task for a Standard Queue - Data Lake Insight

          On the displayed page, click Delete in the Operation column. In the displayed dialog box, click OK. Parent topic: Managing Queues

          Help > Data Lake Insight > User Guide > Creating an Elastic Resource Pool and Queues Within It > Managing Queues
        • Setting CUs - Data Lake Insight

          Setting CUs - Data Lake Insight

          For a pay-per-use elastic resource pool, you can decrease its actual CUs by adjusting the maximum CUs of queues or delete queues from the pool. Afterwards, set the minimum value of the CU range to match the target CUs.

          Help > Data Lake Insight > User Guide > Creating an Elastic Resource Pool and Queues Within It > Managing Elastic Resource Pools
        • Querying the Job Execution Result-Method 2 (Discarded) - Data Lake Insight

          Querying the Job Execution Result-Method 2 (Discarded) - Data Lake Insight

          If execution succeeds, the parameter setting may be left blank. job_id No String Job ID. job_type No String Job type, including DDL, DCL, IMPORT, EXPORT, QUERY, INSERT, DATA_MIGRATION, UPDATE, DELETE, RESTART_QUEUE and SCALE_QUEUE.

          Help > Data Lake Insight > API Reference > Out-of-Date APIs > APIs Related to SQL Jobs (Discarded)
        • Arrears - Data Lake Insight

          Arrears - Data Lake Insight

          If DLI resources, such as queues and elastic resource pools, are no longer used, you can delete them to avoid further fee deduction. To avoid account arrears, set up Balance Alert on the Billing Center's Overview page.

          Help > Data Lake Insight > Billing
        • Querying Logs for Flink Jobs - Data Lake Insight

          Querying Logs for Flink Jobs - Data Lake Insight

          You can configure lifecycle rules to periodically delete objects from buckets or change storage classes of objects. Exercise caution when modifying the job bucket, as it may result in the inability to retrieve historical data.

          Help > Data Lake Insight > User Guide > Submitting a Flink Job Using DLI > Managing Flink Jobs
        • Permissions Management - Data Lake Insight

          Permissions Management - Data Lake Insight

          For example, some software developers in your enterprise need to use DLI resources but must not delete them or perform any high-risk operations.

          Help > Data Lake Insight > Service Overview
        • Previewing SQL Job Query Results - Data Lake Insight

          Previewing SQL Job Query Results - Data Lake Insight

          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

          Help > Data Lake Insight > API Reference > SQL Job-related APIs
        • Raw - Data Lake Insight

          Raw - Data Lake Insight

          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.

          Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.12 Syntax Reference > DDL Syntax > Format
        • Viewing Flink Job Details - Data Lake Insight

          Viewing Flink Job Details - Data Lake Insight

          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.

          Help > Data Lake Insight > User Guide > Submitting a Flink Job Using DLI > Managing Flink Jobs
        • Calling UDAFs in Spark SQL Jobs - Data Lake Insight

          Calling UDAFs in Spark SQL Jobs - Data Lake Insight

          If the UDAF is no longer used, run the following statement to delete it: Drop FUNCTION AvgFilterUDAFDemo; Parent topic: SQL Jobs

          Help > Data Lake Insight > Developer Guide > SQL Jobs
        • Resource-Related SDKs - Data Lake Insight

          Resource-Related SDKs - Data Lake Insight

          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.

          Help > Data Lake Insight > SDK Reference > DLI SDK V1 (Not Recommended) > Java SDK (DLI SDK V1)
        • Data preparation for the sample table in this document - Data Lake Insight

          Data preparation for the sample table in this document - Data Lake Insight

          You can delete the comment by setting the comment information to NULL.

          Help > Data Lake Insight > HetuEngine SQL Syntax Reference > Appendix
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