Help Center> MapReduce Service> Component Operation Guide (LTS)> Using CarbonData> CarbonData FAQ> How Do I Logically Split Data Across Different Namespaces?
Updated on 2023-04-28 GMT+08:00

How Do I Logically Split Data Across Different Namespaces?

Question

How do I logically split data across different namespaces?

Answer

  • Configuration:

    To logically split data across different namespaces, you must update the following configuration in the core-site.xml file of HDFS, Hive, and Spark.

    Changing the Hive component will change the locations of carbonstore and warehouse.

    • Configuration in HDFS
      • fs.defaultFS: Name of the default file system. The URI mode must be set to viewfs. When viewfs is used, the permission part must be ClusterX.
      • fs.viewfs.mountable.ClusterX.homedir: Home directory base path. You can use the getHomeDirectory() method defined in FileSystem/FileContext to access the home directory.
      • fs.viewfs.mountable.default.link.<dir_name>: ViewFS mount table.

      Example:

      <property>
      <name>fs.defaultFS</name>
      <value>viewfs://ClusterX/</value>
      </property>
      <property>
      <name>fs.viewfs.mounttable.ClusterX.link./folder1</name>
      <value>hdfs://NS1/folder1</value>
      </property>
      <property>
      <name>fs.viewfs.mounttable.ClusterX.link./folder2</name>
      <value>hdfs://NS2/folder2</value>
      </property>
    • Configurations in Hive and Spark

      fs.defaultFS: Name of the default file system. The URI mode must be set to viewfs. When viewfs is used, the permission part must be ClusterX.

  • Syntax:

    LOAD DATA INPATH 'path to data' INTO TABLE table_name OPTIONS ('...');

    When Spark is configured with the viewFS file system and attempts to load data from HDFS, users must specify a path such as viewfs:// or a relative path as the file path in the LOAD statement.

  • Example:
    • Sample viewFS path:

      LOAD DATA INPATH 'viewfs://ClusterX/dir/data.csv' INTO TABLE table_name OPTIONS ('...');

    • Sample relative path:

      LOAD DATA INPATH '/apps/input_data1.txt' INTO TABLE table_name;