检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
Ensure that the security group used by the data source allows access from the CIDR block of the DLI queue, and do not delete the VPC peering connection during the datasource connection.
Delete the original datasource connection and create a new one. When you create a connection, ensure that the selected Security Group, VPC, Subnet, and Destination Address are the same as those in RDS. Select a correct Service Type. In this example, select RDS.
For example, a specific user group is not allowed to delete a cluster. Only basic DLI operations (such as creating and querying jobs) are allowed. For details about DLI permissions, see Permission Management Overview. The following table lists all the system permissions of DLI.
Use the UDF created in 6 in the SELECT statement as follows: select TestSumUDF(1,2); Figure 12 Execution result (Optional) Delete the UDF. If the UDF is no longer used, run the following statement to delete it: Drop FUNCTION TestSumUDF; Parent topic: SQL Jobs
On the OBS management console, you can configure lifecycle rules for a bucket to automatically delete objects within it or change object storage classes on a regular basis. For details, see Configuring a Lifecycle Rule.
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.
After the multiversion function is enabled, the system automatically backs up table data when you delete or modify the data using insert overwrite or truncate, and retains the data for a certain period. You can quickly restore data within the retention period.
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.
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.
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.
List<Table> tables = database.listAllTables(); for (Table table : tables) { // Traverse tables and call the deleteTable interface of the Table object to delete tables.
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
For example, some software developers in your enterprise need to use DLI resources but must not delete them or perform any high-risk operations.
On the displayed page, click Delete in the Operation column. In the displayed dialog box, click OK. Parent Topic: Managing Queues
When set to true, DLI will not delete partitions in advance, but will overwrite partitions with data written during runtime. Default Value false spark.sql.files.maxPartitionBytes Definition Maximum number of bytes to be packed into a single partition when a file is read.
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.
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.
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.
For example, some software developers in your enterprise need to use DLI resources but must not delete them or perform any high-risk operations.
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.
