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        • Clearing Data - Data Lake Insight

          Clearing Data - Data Lake Insight

          )]; Keywords Table 1 Keywords Parameter Description tablename Name of the target DLI or OBS table that runs the Truncate statement. partcol1 Partition name of the DLI or OBS table to be deleted. Precautions Only data in the DLI or OBS table can be deleted.

          Help > Data Lake Insight > Spark SQL Syntax Reference > Data
        • Deleting a Table - Data Lake Insight

          Deleting a Table - Data Lake Insight

          Syntax 1 DROP TABLE [IF EXISTS] [db_name.]table_name; Keywords If the table is stored in OBS, only the metadata is deleted. The data stored on OBS is not deleted. If the table is stored in DLI, the data and the corresponding metadata are all deleted.

          Help > Data Lake Insight > Spark SQL Syntax Reference > Tables
        • file - Data Lake Insight

          file - Data Lake Insight

          Description File path, which is the OBS path Parent topic: Identifiers

          Help > Data Lake Insight > Spark SQL Syntax Reference > Identifiers
        • Exporting Data (Discarded) - Data Lake Insight

          Exporting Data (Discarded) - Data Lake Insight

          Currently, data can be exported only from a DLI table to OBS, and the OBS path must be specified to the folder level. The OBS path cannot contain commas (,). The OBS bucket name cannot end with the regular expression format .[0-9]+(.*).

          Help > Data Lake Insight > API Reference > Out-of-Date APIs > SQL Job-related APIs (Discarded)
        • Job-related SDKs - Data Lake Insight

          Job-related SDKs - Data Lake Insight

          You can use it to import data stored in OBS to a created DLI or OBS table. The example code is as follows: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 //Instantiate the importJob object.

          Help > Data Lake Insight > SDK Reference > DLI SDK V1 (Not Recommended) > Java SDK (DLI SDK V1) > SDKs Related to SQL Jobs
        • Why Does a Spark Job Fail to Execute with an Abnormal Access Directory Error When Accessing Files in SFTP? - Data Lake Insight

          Why Does a Spark Job Fail to Execute with an Abnormal Access Directory Error When Accessing Files in SFTP? - Data Lake Insight

          Upload the files you want to access to OBS and then you can analyze the data using Spark jobs. Upload data to an OBS bucket: Upload data stored in SFTP to an OBS bucket using the OBS management console or command-line tools.

          Help > Data Lake Insight > FAQs > Spark Jobs > Spark Job O&M
        • Why Is Error "DLI.0003: AccessControlException XXX" Reported When I Access a SQL Job? - Data Lake Insight

          Why Is Error "DLI.0003: AccessControlException XXX" Reported When I Access a SQL Job? - Data Lake Insight

          Solution Check the permissions of the OBS bucket to ensure that the account has access to the OBS bucket mentioned in the error message. If not, contact the OBS bucket administrator to add access permissions of the bucket. Parent topic: SQL Job O&M

          Help > Data Lake Insight > FAQs > SQL Jobs > SQL Job O&M
        • Deleting a Partition - Data Lake Insight

          Deleting a Partition - Data Lake Insight

          Partitioned tables are classified into OBS tables and DLI tables. You can delete one or more partitions from a DLI or OBS partitioned table based on specified conditions. OBS tables also support deleting partitions by specifying filter criteria.

          Help > Data Lake Insight > Spark SQL Syntax Reference > Tables > Partition-related Syntax
        • Using the Spark Job to Access DLI Metadata - Data Lake Insight

          Using the Spark Job to Access DLI Metadata - Data Lake Insight

          Step 2: Configure the OBS Bucket File To create an OBS table, upload data to the OBS bucket directory. Use the following sample data to create the testdata.csv file and upload it to an OBS bucket. 12,Michael 27,Andy 30,Justin Log in to the OBS console.

          Help > Data Lake Insight > Developer Guide > Spark Jar Jobs
        • How Do I Synchronize DLI Table Data Across Regions? - Data Lake Insight

          How Do I Synchronize DLI Table Data Across Regions? - Data Lake Insight

          The procedure is as follows: Export the DLI table data in region 1 to the user-defined OBS bucket. For details, see Exporting Data from DLI to OBS. Use the OBS cross-region replication function to replicate data to the OBS bucket in region 2.

          Help > Data Lake Insight > FAQs > SQL Jobs > SQL Job Development
        • Job-related SDKs - Data Lake Insight

          Job-related SDKs - Data Lake Insight

          You can use this API to import OBS to a DLI table.

          Help > Data Lake Insight > SDK Reference > DLI SDK V1 (Not Recommended) > Python SDK (DLI SDK V1) > SDKs Related to SQL Jobs
        • How Do I Restore a Flink Job from a Specific Checkpoint After Manually Stopping the Job? - Data Lake Insight

          How Do I Restore a Flink Job from a Specific Checkpoint After Manually Stopping the Job? - Data Lake Insight

          Symptom Checkpoint was enabled when a Flink job is created, and the OBS bucket for storing checkpoints was specified. I am not sure how to restore a Flink job from a specific checkpoint after manually stopping the job.

          Help > Data Lake Insight > FAQs > Flink Jobs > Flink Job Consulting
        • DROP CONSTRAINT - Data Lake Insight

          DROP CONSTRAINT - Data Lake Insight

          consisting of letters, numbers, and underscores (_) bucket_name OBS bucket name tbl_path Storage location of the Delta table in the OBS bucket constraint_name Constraint name Required Permissions SQL permissions Table 2 Permissions required for executing DROP CONSTRAINT Permission

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

          Overview - Data Lake Insight

          Overview Importing Data to OBS DLI enables direct access to data stored in OBS for query and analysis, eliminating the need for data migration. To begin using DLI for data analysis, just import your local data into OBS.

          Help > Data Lake Insight > User Guide > Data Migration and Transmission
        • Related Services - Data Lake Insight

          Related Services - Data Lake Insight

          Related Services OBS OBS works as the data source and data storage system for DLI, and delivers the following capabilities: Data source: DLI provides an API for you to import data from corresponding OBS paths to DLI tables. For details about the API, see Importing Data.

          Help > Data Lake Insight > Service Overview
        • Where Can Data Be Stored in DLI? - Data Lake Insight

          Where Can Data Be Stored in DLI? - Data Lake Insight

          What Are the Differences Between DLI Tables and OBS Tables? DLI tables store data within the DLI service, keeping you unaware of the storage path. OBS tables store data in your OBS buckets, allowing you to manage source data files.

          Help > Data Lake Insight > FAQs > DLI Basics
        • FileSystem Result Table - Data Lake Insight

          FileSystem Result Table - Data Lake Insight

          Example 1 Use datagen to randomly generate data and write the data into the fileName directory in the OBS bucket bucketName. The file generation time is irrelevant to the checkpoint.

          Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.12 Syntax Reference > DDL Syntax > Creating Result Tables
        • CREATE TABLE AS SELECT - Data Lake Insight

          CREATE TABLE AS SELECT - Data Lake Insight

          consisting of letters, numbers, and underscores (_) table_name Name of the table in the database, consisting of letters, numbers, and underscores (_) bucket_name OBS bucket name tbl_path Storage location of the Delta table in the OBS bucket using Parameter delta, defines and creates

          Help > Data Lake Insight > Delta SQL Syntax Reference > Delta SQL Syntax Reference > Delta DML Syntax
        • How Do I Save Logs for Flink Jobs? - Data Lake Insight

          How Do I Save Logs for Flink Jobs? - Data Lake Insight

          To set the OBS bucket for storing the job logs, specify a bucket for OBS Bucket. If the selected OBS bucket is not authorized, click Authorize. The logs are saved in the following path: Bucket name/jobs/logs/Directory starting with the job ID.

          Help > Data Lake Insight > FAQs > Flink Jobs > Flink Job Consulting
        • UPDATE - Data Lake Insight

          UPDATE - Data Lake Insight

          Name of the table in the database, consisting of letters, numbers, and underscores (_) bucket_name OBS bucket name tbl_path Storage location of the Delta table in the OBS bucket column Target column to be updated EXPRESSION Expression of the source table column to be updated in the

          Help > Data Lake Insight > Delta SQL Syntax Reference > Delta SQL Syntax Reference > Delta DML Syntax
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