Help Center/ MapReduce Service/ Component Operation Guide (LTS) (Paris Region)/ Using Loader/ Importing Data/ Typical Scenario: Importing Data from HDFS or OBS to HBase
Updated on 2022-12-14 GMT+08:00

Typical Scenario: Importing Data from HDFS or OBS to HBase

Scenario

Use Loader to import data from HDFS or OBS to HBase.

Prerequisites

  • You have obtained the service username and password for creating a Loader job.
  • You have had the permission to access the HDFS or OBS directories and data involved in job execution.
  • You have had the permission to access the HBase tables or phoenix tables that are used during job execution.
  • No disk space alarm is reported, and the available disk space is sufficient for importing and exporting data.
  • When using Loader to import data from HDFS or OBS, the input paths and input path subdirectories of HDFS and the name of the files in these directories do not contain any of the special characters /"':;.
  • If a configured task requires the Yarn queue function, the user must be authorized with related Yarn queue permission.
  • The user who configures a task must obtain execution permission on the task and obtain usage permission on the related connection of the task.

Procedure

Setting Basic Job Information

  1. Access the Loader web UI.

    1. Log in to FusionInsight Manager. For details, see Accessing FusionInsight Manager.
    2. Choose Cluster > Name of the desired cluster > Services > Loader.
    3. Click LoaderServer(Node name, Active). The Loader web UI is displayed.
      Figure 1 Loader web UI

  2. Click New Job to go to the Basic Information page and set basic job information.

    Figure 2 Basic Information
    1. Set Name to the name of the job.
    2. Set Type to Import.
    3. Set Group to the group to which the job belongs. No group is created by default. You need to click Add to create a group and click OK to save the created group.
    4. Set Queue to the Yarn queue that executes the job. The default value is root.default.
    5. Set Priority to the priority of the Yarn queue that executes the job. The default value is NORMAL. The options are VERY_LOW, LOW, NORMAL, HIGH, and VERY_HIGH.

  3. In the Connection area, click Add to create a connection, set Connector to hdfs-connector, set connection parameters, and click Test to verify whether the connection is available. When "Test Success" is displayed, click OK.

    Setting Data Source Information

  4. Click Next. On the displayed From page, set the data source information.

    Table 1 Parameter description

    Parameter

    Description

    Example Value

    Input Path

    Input path of source files in HDFS or OBS

    NOTE:

    You can use macros to define path parameters. For details, see Using Macro Definitions in Configuration Items.

    /user/test

    Path Filter

    Wildcard for filtering the directories in the input paths of the source files. Input Path is not used for filtering. If there are multiple filter conditions, use commas (,) to separate them. If the parameter is empty, the directories are not filtered. The regular expression filtering is not supported.

    *

    File Filter

    Wildcard for filtering the file names of the source files. If there are multiple filter conditions, use commas (,) to separate them. The value cannot be left blank. The regular expression filtering is not supported.

    *

    Encoding Type

    Source file encoding format, for example, UTF-8. This parameter can be set only in text file import.

    UTF-8

    Suffix

    File name extension added to a source file after the source file is imported. If this parameter is empty, no file name extension is added to the source file.

    .log

    Setting Data Transformation

  5. Click Next. On the displayed Transform page, set the transformation operations in the data transformation process. For details about how to select operators and set parameters, see Operator Help and Table 2.

    Table 2 Input and output parameters of the operator

    Input Type

    Output Type

    CSV File Input

    HBase Output

    HTML Input

    HBase Output

    Fixed File Input

    HBase Output

    Figure 3 Operator operation procedure

    Setting Data Storage Information and Executing the Job

  6. Click Next. On the displayed To page, set Storage type to HBASE_BULKLOAD or HBASE_PUTLIST based on the actual situation.

    Table 3 Parameter description

    Storage Type

    Applicable Scenario

    Parameter

    Description

    Example Value

    HBASE_BULKLOAD

    Large data volume

    HBase Instance

    HBase service instance that Loader selects from all available HBase service instances in the cluster. If the selected HBase service instance is not added to the cluster, the HBase job cannot be run properly.

    HBase

    Clear data before import

    Indicates whether to clear data in the original table before importing data. True indicates clearing data and False indicates not to clear data. If you do not set this parameter, the original table is not cleared by default.

    true

    Extractors

    Number of Maps that are started at the same time in a MapReduce task of a data configuration operation. The value must be less than or equal to 3000.

    20

    Extractor Size

    HBase does not support this parameter. Please set Extractors.

    -

    HBASE_PUTLIST

    Small data volume

    HBase Instance

    HBase service instance that Loader selects from all available HBase service instances in the cluster. If the selected HBase service instance is not added to the cluster, the HBase job cannot be run properly.

    HBase

    Extractors

    Number of Maps that are started at the same time in a MapReduce task of a data configuration operation. The value must be less than or equal to 3000.

    20

    Extractor Size

    HBase does not support this parameter. Please set Extractors.

    -

  7. Click Save and run to save and run the job.

    Checking the Job Execution Result

  8. Go to the Loader web UI. When Status is Succeeded, the job is complete.

    Figure 4 Viewing job details