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        • Why Is Error "path obs://xxx already exists" Reported When Data Is Exported to OBS? - Data Lake Insight

          Why Is Error "path obs://xxx already exists" Reported When Data Is Exported to OBS? - Data Lake Insight

          Why Is Error "path obs://xxx already exists" Reported When Data Is Exported to OBS? This message indicates that you are exporting data to an existing OBS path. Solution: Create an OBS directory.

          Help > Data Lake Insight > FAQs > SQL Jobs > SQL Job O&M
        • Granting OBS Permissions to DLI - Data Lake Insight

          Granting OBS Permissions to DLI - Data Lake Insight

          Granting OBS Permissions to DLI Function This API is used to grant DLI the permission to access OBS buckets for saving job checkpoints and run logs. This API has been discarded and is not recommended.

          Help > Data Lake Insight > API Reference > Out-of-Date APIs > APIs Related to Flink Jobs (Discarded)
        • Adding Partition Data (Only OBS Tables Supported) - Data Lake Insight

          Adding Partition Data (Only OBS Tables Supported) - Data Lake Insight

          to obs://bucketName/datapath.

          Help > Data Lake Insight > Spark SQL Syntax Reference > Tables > Partition-related Syntax
        • OBS - Data Lake Insight

          OBS - Data Lake Insight

          OBS OBS Source Table OBS Result Table Parent topic: Connectors

          Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.15 Syntax Reference > Connectors
        • OBS Result Table - Data Lake Insight

          OBS Result Table - Data Lake Insight

          OBS Result Table Function The FileSystem result (sink) table is used to export data to the HDFS or OBS file system. It is applicable to scenarios such as data dumping, big data analysis, data backup, and active, deep, or cold archiving.

          Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.15 Syntax Reference > Connectors > OBS
        • Using DLI to Submit a SQL Job to Query OBS Data - Data Lake Insight

          Using DLI to Submit a SQL Job to Query OBS Data - Data Lake Insight

          Using DLI to Submit a SQL Job to Query OBS Data Scenario DLI can query data stored in OBS. This section describes how to use DLI to submit a SQL job to query OBS data. To illustrate, create a new file called sampledata.csv and upload it to an OBS bucket.

          Help > Data Lake Insight > Getting Started
        • OBS Source Table - Data Lake Insight

          OBS Source Table - Data Lake Insight

          OBS Source Table Function The file system connector can be used to read single files or entire directories into a single table. When using a directory as the source path, there is no defined order of ingestion for the files inside the directory.

          Help > Data Lake Insight > Flink SQL Syntax Reference > Flink OpenSource SQL 1.15 Syntax Reference > Connectors > OBS
        • Renaming a Partition (Only OBS Tables Supported) - Data Lake Insight

          Renaming a Partition (Only OBS Tables Supported) - Data Lake Insight

          Renaming a Partition (Only OBS Tables Supported) Function This statement is used to rename partitions.

          Help > Data Lake Insight > Spark SQL Syntax Reference > Tables > Partition-related Syntax
        • Using Spark Jar Jobs to Read and Query OBS Data - Data Lake Insight

          Using Spark Jar Jobs to Read and Query OBS Data - Data Lake Insight

          Read the people.json file from the OBS bucket. dli-test-obs01 is the name of the sample OBS bucket. Replace it with the actual OBS bucket name.

          Help > Data Lake Insight > Developer Guide > Spark Jar Jobs
        • Why Is No Data Queried in the DLI Table Created Using the OBS File Path When Data Is Written to OBS by a Flink Job Output Stream? - Data Lake Insight

          Why Is No Data Queried in the DLI Table Created Using the OBS File Path When Data Is Written to OBS by a Flink Job Output Stream? - Data Lake Insight

          Why Is No Data Queried in the DLI Table Created Using the OBS File Path When Data Is Written to OBS by a Flink Job Output Stream? Symptom After data is written to OBS through the Flink job output stream, data cannot be queried from the DLI table created in the OBS file path.

          Help > Data Lake Insight > FAQs > Flink Jobs > Flink SQL Jobs
        • Writing Data to OBS Using Flink Jar - Data Lake Insight

          Writing Data to OBS Using Flink Jar - Data Lake Insight

          data exists in the OBS path.

          Help > Data Lake Insight > Developer Guide > Flink Jobs
        • Using Spark SQL Jobs to Analyze OBS Data - Data Lake Insight

          Using Spark SQL Jobs to Analyze OBS Data - Data Lake Insight

          Create a non-partitioned OBS table. Specify an OBS file and create an OBS table for the CSV data.

          Help > Data Lake Insight > Developer Guide > SQL Jobs
        • Importing OBS Data to DLI - Data Lake Insight

          Importing OBS Data to DLI - Data Lake Insight

          CSV Path You can directly enter a path or click and select an OBS path. If no bucket is available, you can directly switch to the OBS management console and create an OBS bucket. When creating an OBS table, you must specify a folder as the directory.

          Help > Data Lake Insight > User Guide > Creating Databases and Tables > Managing Table Resources on the DLI Console
        • How Do I Fix Incorrect Data in an OBS Foreign Table Caused by Newline Characters in OBS File Fields? - Data Lake Insight

          How Do I Fix Incorrect Data in an OBS Foreign Table Caused by Newline Characters in OBS File Fields? - Data Lake Insight

          How Do I Fix Incorrect Data in an OBS Foreign Table Caused by Newline Characters in OBS File Fields? Symptom When an OBS foreign table is created, a field in the specified OBS file contains a carriage return line feed (CRLF) character. As a result, the data is incorrect.

          Help > Data Lake Insight > FAQs > DLI Databases and Tables
        • Creating an OBS Table Using the DataSource Syntax - Data Lake Insight

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

          For details, see Creating an OBS Table Using the Hive Syntax. Parent topic: Creating an OBS Table

          Help > Data Lake Insight > Spark SQL Syntax Reference > Tables > Creating an OBS Table
        • How Do I Use DLI to Access Data in an OBS Bucket? - Data Lake Insight

          How Do I Use DLI to Access Data in an OBS Bucket? - Data Lake Insight

          How Do I Use DLI to Access Data in an OBS Bucket? Create an OBS Table. For details about the creation syntax, see Creating an OBS Table Using the DataSource Syntax. Add partitions. For details about the partitioning syntax, see Adding a Partition.

          Help > Data Lake Insight > FAQs > SQL Jobs > SQL Job Development
        • Creating an OBS Table Using the Hive Syntax - Data Lake Insight

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

          Example 1: Creating an OBS Non-Partitioned Table Example description: Create an OBS non-partitioned table named table1 and use the STORED AS keyword to set the storage format of the table to orc.

          Help > Data Lake Insight > Spark SQL Syntax Reference > Tables > Creating an OBS Table
        • Can I Import OBS Bucket Data Shared by Other Tenants into DLI? - Data Lake Insight

          Can I Import OBS Bucket Data Shared by Other Tenants into DLI? - Data Lake Insight

          Can I Import OBS Bucket Data Shared by Other Tenants into DLI? DLI supports importing data from OBS buckets shared by IAM users under the same tenant, but not from OBS buckets shared by other tenants. This ensures data security and isolation.

          Help > Data Lake Insight > FAQs > DLI Basics
        • How Do I Specify an OBS Path When Creating an OBS Table? - Data Lake Insight

          How Do I Specify an OBS Path When Creating an OBS Table? - Data Lake Insight

          How Do I Specify an OBS Path When Creating an OBS Table? Scenario When creating an OBS table, you must specify a table path in the database. The path format is as follows: obs://xxx/database name/table name.

          Help > Data Lake Insight > FAQs > SQL Jobs > SQL Job Development
        • Creating an OBS Table - Data Lake Insight

          Creating an OBS Table - Data Lake Insight

          Creating an OBS Table Creating an OBS Table Using the DataSource Syntax Creating an OBS Table Using the Hive Syntax Parent topic: Tables

          Help > Data Lake Insight > Spark SQL Syntax Reference > Tables
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