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          • CREATE TABLE - Data Lake Insight

            CREATE TABLE - Data Lake Insight

            The auto.purge parameter can be used to specify whether to clear related data when data removal operations (such as DROP, DELETE, INSERT OVERWRITE, and TRUNCATE TABLE) are performed. If it is set to true, metadata and data files are cleared.

            Help > Data Lake Insight > HetuEngine SQL Syntax Reference > HetuEngine SQL Syntax > DDL Syntax
          • Scala Example Code - Data Lake Insight

            Scala Example Code - Data Lake Insight

            Insert data. 1 sparkSession.sql("insert into css_table values(13, 'John'),(22, 'Bob')") Query data. 1 2 val dataFrame = sparkSession.sql("select * from css_table") dataFrame.show() Before data is inserted: Response: Delete the datasource connection table. 1 sparkSession.sql("drop

            Help > Data Lake Insight > Developer Guide > Spark Jar Jobs > Using Spark Jobs to Access Data Sources of Datasource Connections > Connecting to CSS
          • What Is Data Lake Insight - Data Lake Insight

            What Is Data Lake Insight - Data Lake Insight

            You can add, delete, modify, and query metadata to facilitate data governance and analysis. Data security and permission management: Permissions on data catalogs, databases, and tables can be managed.

            Help > Data Lake Insight > Service Overview
          • Elasticsearch Result Table - Data Lake Insight

            Elasticsearch Result Table - Data Lake Insight

            If a primary key is defined, the Elasticsearch sink works in upsert mode, which can consume queries containing UPDATE and DELETE messages. If a primary key is not defined, the Elasticsearch sink works in append mode which can only consume queries containing INSERT messages.

            Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.12 Syntax Reference > DDL Syntax > Creating Result Tables
          • Setting CUs - Data Lake Insight

            Setting CUs - Data Lake Insight

            To achieve more cost-effective billing, you are advised to either decrease the maximum CUs of queues, delete queues, or lower the maximum CUs of the elastic resource pool so that the pool's specifications match the actual CUs.

            Help > Data Lake Insight > User Guide > Creating an Elastic Resource Pool and Creating Queues Within It > Managing Elastic Resource Pools
          • Kafka Source Table - Data Lake Insight

            Kafka Source Table - Data Lake Insight

            Change the JDK version in the sample code to a version earlier than 8u_242 or delete the renew_lifetime = 0m configuration item from the krb5.conf configuration file. Set the port to the sasl.port configured in the Kafka service configuration.

            Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.12 Syntax Reference > DDL Syntax > Creating Source Tables
          • Elasticsearch - Data Lake Insight

            Elasticsearch - Data Lake Insight

            If a primary key is defined, the Elasticsearch sink works in upsert mode which can consume queries containing UPDATE/DELETE messages. If a primary key is not defined, the Elasticsearch sink works in append mode which can only consume queries containing INSERT only messages.

            Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.15 Syntax Reference > Connectors
          • Creating an OBS Table Using the Hive Syntax - Data Lake Insight

            Creating an OBS Table Using the Hive Syntax - Data Lake Insight

            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.

            Help > Data Lake Insight > Spark SQL Syntax Reference > Tables > Creating an OBS Table
          • Creating a Spark Job - Data Lake Insight

            Creating a Spark Job - Data Lake Insight

            You can configure a lifecycle rule to periodically delete objects in a bucket or transit objects between different storage classes. The bucket will be created and the default bucket name is used.

            Help > Data Lake Insight > User Guide > Submitting a Spark Job on the DLI Management Console
          • Kafka - Data Lake Insight

            Kafka - Data Lake Insight

            Change the JDK version in the sample code to a version earlier than 8u_242 or delete the renew_lifetime = 0m configuration item from the krb5.conf configuration file. Set the port to the sasl.port configured in the Kafka service configuration. The default value is 21007.

            Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.15 Syntax Reference > Connectors
          • Submitting a SQL Job Using an SDK - Data Lake Insight

            Submitting a SQL Job Using an SDK - Data Lake Insight

            You can configure a lifecycle policy in OBS to periodically delete these temporary data. # 2. Submit the Load Data statement to DLI to import OBS data to DLI. # For details about the Load Data syntax, see Importing Data. # 3.

            Help > Data Lake Insight > SDK Reference > DLI SDK V2 > Python SDK (DLI SDK V2)
          • MySQL CDC - Data Lake Insight

            MySQL CDC - Data Lake Insight

            permission): insert into flink.cdc_order values ('202103241000000001','webShop','2021-03-24 10:00:00','100.00','100.00','2021-03-24 10:02:03','0001','Alice','330106'), ('202103241606060001','appShop','2021-03-24 16:06:06','200.00','180.00','2021-03-24 16:10:06','0001','Alice','330106'); delete

            Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.15 Syntax Reference > Connectors
          • CONVERT TO DELTA - Data Lake Insight

            CONVERT TO DELTA - Data Lake Insight

            CONVERT TO DELTA Function This command converts an existing Parquet table to a Delta table in-place. This command lists all the files in the directory, creates a Delta Lake transaction log to track these files, and automatically infers the data schema by reading the footer of all

            Help > Data Lake Insight > Delta SQL Syntax Reference > Delta SQL Syntax Reference > Delta DDL Syntax
          • Delta Cleansing and Optimization - Data Lake Insight

            Delta Cleansing and Optimization - Data Lake Insight

            Delta Cleansing and Optimization Cleansing a Delta Table You can run the VACUUM command on a Delta table to remove data files that are no longer referenced and were created before the retention threshold. VACUUM delta_table0; VACUUM delta_table0 RETAIN 168 HOURS;--The unit can only

            Help > Data Lake Insight > Delta SQL Syntax Reference
          • Delta DDL Syntax - Data Lake Insight

            Delta DDL Syntax - Data Lake Insight

            Delta DDL Syntax CREATE TABLE DROP TABLE DESCRIBE ADD CONSTRAINT DROP CONSTRAINT CONVERT TO DELTA SHALLOW CLONE Parent topic: Delta SQL Syntax Reference

            Help > Data Lake Insight > Delta SQL Syntax Reference > Delta SQL Syntax Reference
          • DLI Delta Metadata - Data Lake Insight

            DLI Delta Metadata - Data Lake Insight

            DLI Delta Metadata For how to submit a Spark SQL job in DLI using the Delta SQL syntax, see Delta SQL Syntax Reference. For how to submit a Spark Jar job in DLI using Delta, see Using Delta to Submit a Spark Jar Job in DLI. DLI Delta Metadata Description When creating a Delta table

            Help > Data Lake Insight > Delta SQL Syntax Reference > Using Delta to Develop Jobs in DLI
          • Typical Delta Configurations - Data Lake Insight

            Typical Delta Configurations - Data Lake Insight

            Typical Delta Configurations To set Delta parameters while submitting a DLI Spark SQL job, access the SQL Editor page and click Settings in the upper right corner. In the Parameter Settings area, set the parameters. Table 1 Typical Delta configurations Parameter Description Default

            Help > Data Lake Insight > Delta SQL Syntax Reference
          • Delta Time Travel - Data Lake Insight

            Delta Time Travel - Data Lake Insight

            Delta Time Travel Viewing History Operation Records of a Delta Table Querying History Version Data of a Delta Table Restoring a Delta Table to an Earlier State

            Help > Data Lake Insight > Delta SQL Syntax Reference
          • DLI Delta FAQ - Data Lake Insight

            DLI Delta FAQ - Data Lake Insight

            DLI Delta FAQ When Executing insert into/overwrite table_name partition(part_key='part_value') select ..., Error DLI.0005: DeltaAnalysisException: Partition column 'dt' not found in schema [id, name] Occurs Root cause analysis: The syntax insert into/overwrite table_name partition

            Help > Data Lake Insight > Delta SQL Syntax Reference
          • Submitting a SQL Job Using an SDK - Data Lake Insight

            Submitting a SQL Job Using an SDK - Data Lake Insight

            You can configure a lifecycle policy in OBS to periodically delete these temporary data. * 2. Submit the LoadData statement to DLI to import data to DLI. For details, see Importing Data. * 3.

            Help > Data Lake Insight > SDK Reference > DLI SDK V2 > Java SDK (DLI SDK V2)
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