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        • Scala Example Code - Data Lake Insight

          Scala Example Code - Data Lake Insight

          The following is an example: 1 val idCol = jdbcDF.col("id") drop drop is used to delete a specified field. Specify a field you need to delete (only one field can be deleted at a time), the DataFrame object that does not contain the field is returned.

          Help > Data Lake Insight > Developer Guide > Spark Jar Jobs > Using Spark Jobs to Access Data Sources of Datasource Connections > Connecting to RDS
        • Upsert Kafka - Data Lake Insight

          Upsert Kafka - Data Lake Insight

          As a source, the upsert-kafka connector produces a changelog stream, where each data record represents an update or delete event.

          Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.15 Syntax Reference > Connectors
        • Specifying the Lifecycle of a Table When Creating the Table - Data Lake Insight

          Specifying the Lifecycle of a Table When Creating the Table - Data Lake Insight

          By setting the lifecycle of a table, you can better manage a large number of tables, automatically delete data tables that are no longer used for a long time, and simplify the process of reclaiming data tables.

          Help > Data Lake Insight > Spark SQL Syntax Reference > Tables > Table Lifecycle Management
        • JDBC - Data Lake Insight

          JDBC - Data Lake Insight

          Caveats The JDBC sink operates in upsert mode for exchanging UPDATE/DELETE messages with the external system if a primary key is defined on the DDL, otherwise, it operates in append mode and does not support to consume UPDATE/DELETE messages.

          Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.15 Syntax Reference > Connectors
        • Submitting a SQL Job (Recommended) - Data Lake Insight

          Submitting a SQL Job (Recommended) - Data Lake Insight

          If you set this parameter to true, DLI does not delete partitions before overwrite starts. spark.sql.files.maxPartitionBytes 134217728 Maximum number of bytes to be packed into a single partition when a file is read. spark.sql.badRecordsPath - Path of bad records. spark.sql.legacy.correlated.scalar.query.enabled

          Help > Data Lake Insight > API Reference > SQL Job-related APIs
        • Querying All Jobs - Data Lake Insight

          Querying All Jobs - Data Lake Insight

          Job types include DDL, DCL, IMPORT, EXPORT, QUERY, INSERT, DATA_MIGRATION, UPDATE, DELETE, RESTART_QUEUE, and SCALE_QUEUE. To query all types of jobs, enter ALL. job-status No String Status of the job to be queried. job-id No String ID of the job to be queried.

          Help > Data Lake Insight > API Reference > SQL Job-related APIs
        • Agency Permission Policies in Common Scenarios - Data Lake Insight

          Agency Permission Policies in Common Scenarios - Data Lake Insight

          "Effect": "Allow", "Action": [ "dli:table:showPartitions", "dli:table:alterTableAddPartition", "dli:table:alterTableAddColumns", "dli:table:alterTableRenamePartition", "dli:table:delete

          Help > Data Lake Insight > User Guide > Configuring an Agency to Allow DLI to Access Other Cloud Services
        • Creating a SQL Inspection Rule - Data Lake Insight

          Creating a SQL Inspection Rule - Data Lake Insight

          Version dynamic_0001 Scan files number Maximum number of files to be scanned Dynamic Spark HetuEngine Info Block Value range: 1–2000000 Default value: 200000 Yes N/A Spark 3.3.1 dynamic_0002 Scan partitions number Maximum number of partitions involved in the operations (select, delete

          Help > Data Lake Insight > User Guide > Submitting a SQL Job Using DLI
        • SDKs Related to Flink Jobs - Data Lake Insight

          SDKs Related to Flink Jobs - Data Lake Insight

          You can use the API to batch delete Flink jobs in any status.

          Help > Data Lake Insight > SDK Reference > DLI SDK V1 (Not Recommended) > Java SDK (DLI SDK V1)
        • Reserved Keywords - Data Lake Insight

          Reserved Keywords - Data Lake Insight

          CURRENT_TIMESTAMP, CURRENT_TRANSFORM_GROUP_FOR_TYPE, CURRENT_USER, CURSOR, CURSOR_NAME, CYCLE, DATA, DATABASE, DATE, DATETIME_INTERVAL_CODE, DATETIME_INTERVAL_PRECISION, DAY, DEALLOCATE, DEC, DECADE, DECIMAL, DECLARE, DEFAULT, DEFAULTS, DEFERRABLE, DEFERRED, DEFINED, DEFINER, DEGREE, DELETE

          Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.15 Syntax Reference > Constraints and Definitions
        • Kafka Result Table - Data Lake Insight

          Kafka Result 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 Result Tables
        • PySpark Example Code - Data Lake Insight

          PySpark Example Code - Data Lake Insight

          You need to delete the indentations or spaces after the backslashes (\).

          Help > Data Lake Insight > Developer Guide > Spark Jar Jobs > Using Spark Jobs to Access Data Sources of Datasource Connections > Connecting to RDS
        • Using CDM to Migrate Data to DLI - Data Lake Insight

          Using CDM to Migrate Data to DLI - Data Lake Insight

          parameters Parameter Description Example Value Name Enter a unique link name. mysqllink Database Server IP address or domain name of the MySQL database - Port Port number of the MySQL database 3306 Database Name Name of the MySQL database sqoop Username User who has the read, write, and delete

          Help > Data Lake Insight > User Guide > Data Migration and Transmission > Migrating Data from External Data Sources to DLI
        • Creating a Database and Table on the DLI Console - Data Lake Insight

          Creating a Database and Table on the DLI Console - Data Lake Insight

          - Operation Add Column Delete NOTE: If the table to be created includes a great number of columns, you are advised to use SQL statements to create the table or import column information from the local EXCEL file. - Table 3 Parameter description when Data Location is set to OBS Parameter

          Help > Data Lake Insight > User Guide > Creating Databases and Tables
        • MySQL CDC Source Table - Data Lake Insight

          MySQL CDC Source Table - Data Lake Insight

          in MySQL. insert into 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 1.12 Syntax Reference > DDL Syntax > Creating Source Tables
        • Upsert Kafka Source Table - Data Lake Insight

          Upsert Kafka Source Table - Data Lake Insight

          As a source, the upsert-kafka connector produces a changelog stream, where each data record represents an update or delete event.

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