Help Center/ MapReduce Service/ Component Operation Guide (Paris Region)/ Using Hive/ Permission Management/ Configuring Permissions to Use Other Components for Hive
Updated on 2022-12-14 GMT+08:00

Configuring Permissions to Use Other Components for Hive

Scenario

Hive may need to be associated with other components. For example, Yarn permissions are required in the scenario of using HQL statements to trigger MapReduce jobs, and HBase permissions are required in the Hive over HBase scenario. The following describes the operations in the two scenarios.

  • In security mode, Yarn and HBase permission management is enabled by default. Therefore, Yarn and HBase permissions need to be configured by default.
  • In common mode, Yarn and HBase permission management is disabled by default. That is, any user has permissions. Therefore, YARN and HBase permissions does not need to be configured by default. If a user enables the permission management by modifying the Yarn or HBase configurations, the Yarn and HBase permissions then need to be configured.
  • MRS 3.x or later supports Ranger. If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. For details, see Adding a Ranger Access Permission Policy for Hive.

Prerequisites

  • The Hive client has been installed. For example, the installation directory is /opt/client.
  • You have obtained a user account with the MRS cluster administrator permissions, such as admin.

Procedure

Association with Yarn in MRS Earlier than 3.x

Yarn permissions are required when HQL statements, such as insert, count, distinct, group by, order by, sort by, and join, are used to trigger MapReduce jobs. The following uses the procedure for assigning a role the permissions to run the count statements in the thc table as an example.

  1. Create a role on MRS Manager.
  2. In the Permission table, choose Yarn > Scheduler Queue > root.
  3. In the Permission column of the default queue, select Submit and click OK.
  4. In the Permission table, choose Hive > Hive Read Write Privileges > default, select Select for thc, and click OK.

Association with Yarn in MRS 3.x or Later

Yarn permissions are required when HQL statements, such as insert, count, distinct, group by, order by, sort by, and join, are used to trigger MapReduce jobs. The following uses the procedure for assigning a role the permissions to run the count statements in the thc table as an example.

  1. Create a role on FusionInsight Manager.
  2. In the Configure Resource Permission table, choose Name of the desired cluster > Yarn > Scheduler Queue > root.
  3. In the Permission column of the default queue, select Submit and click OK.
  4. In the Configure Resource Permission table, choose Name of the desired cluster > Hive > Hive Read Write Privileges > default. Select SELECT for table thc, and click OK.

Hive over HBase Authorization in MRS Earlier than 3.x

After the permissions are assigned, you can use HQL statements that are similar to SQL statements to access HBase tables from Hive. The following uses the procedure for assigning a user the rights to query HBase tables as an example.

  1. On the role management page of MRS Manager, create an HBase role, for example, hive_hbase_create, and grant the permission to create HBase tables.

    In the Permission table, choose HBase > HBase Scope > global, select create of the namespace default, and click OK.

  2. On MRS Manager, create a human-machine user, for example, hbase_creates_user, add the user to the hive group, and bind the hive_hbase_create role to the user so that the user can create Hive and HBase tables.
  3. Log in to the node where the client is installed. For details, see Using an MRS Client > Installing a Client in the User Guide.
  4. Run the following command to configure environment variables:

    source /opt/client/bigdata_env

  5. Run the following command to authenticate the user:

    kinit hbase_creates_user

  6. Run the following command to go to the shell environment of the Hive client:

    beeline

  7. Run the following command to create a table in Hive and HBase, for example, the thh table.

    CREATE TABLE thh(id int, name string, country string) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES("hbase.columns.mapping" = "cf1:id,cf1:name,:key") TBLPROPERTIES ("hbase.table.name" = "thh");

    The created Hive table and the HBase table are stored in the Hive database default and the HBase namespace default, respectively.

  8. On the role management page of MRS Manager, create a role, for example, hive_hbase_select, and assign the role the permission to query the Hive table thh and the HBase table thh.

    1. In the Permission table, choose HBase > HBase Scope > global > default, select Read for the thh table, and click OK to grant the HBase role the permission to query the table.
    2. Edit a role. In the Permission table, choose HBase > HBase Scope > global > hbase. Select Execute for hbase:meta, and click OK.
    3. Edit a role. In the Permission table, choose Hive > Hive Read Write Privileges > default, select Select for thh, and click OK.

  9. On MRS Manager, create a human-machine user, for example, hbase_select_user, add the user to the hive group, and bind the hive_hbase_select role to the user so that the user can query Hive and HBase tables.
  10. Run the following command to configure environment variables:

    source /opt/client/bigdata_env

  11. Run the following command to authenticate users:

    kinit hbase_select_user

  12. Run the following command to go to the shell environment of the Hive client:

    beeline

  13. Run the following command to use an HQL statement to query HBase table data:

    select * from thh;

Hive over HBase Authorization in MRS 3.x or Later

After the permissions are assigned, you can use HQL statements that are similar to SQL statements to access HBase tables from Hive. The following uses the procedure for assigning a user the rights to query HBase tables as an example.

  1. On the role management page of FusionInsight Manager, create an HBase role, for example, hive_hbase_create, and grant the permission to create HBase tables.

    In the Configure Resource Permission table, choose Name of the desired cluster > HBase > HBase Scope > global. Select Create of the namespace default, and click OK.

  2. On FusionInsight Manager, create a human-machine user, for example, hbase_creates_user, add the user to the hive group, and bind the hive_hbase_create role to the user so that the user can create Hive and HBase tables.
  3. If the current component uses Ranger for permission control, grant the create permission for hive_hbase_create or hbase_creates_user. For details, see Adding a Ranger Access Permission Policy for Hive.
  4. Log in to the node where the client is installed as the client installation user.
  5. Run the following command to configure environment variables:

    source /opt/client/bigdata_env

  6. Run the following command to authenticate the user:

    kinit hbase_creates_user

  7. Run the following command to go to the shell environment of the Hive client:

    beeline

  8. Run the following command to create a table in Hive and HBase, for example, the thh table.

    CREATE TABLE thh(id int, name string, country string) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES("hbase.columns.mapping" = "cf1:id,cf1:name,:key") TBLPROPERTIES ("hbase.table.name" = "thh");

    The created Hive table and the HBase table are stored in the Hive database default and the HBase namespace default, respectively.

  9. On the role management page of FusionInsight Manager, create a role, for example, hive_hbase_select, and assign the role the permission to query the Hive table thh and the HBase table thh.

    1. In the Configure Resource Permission table, choose Name of the desired cluster > HBase > HBase Scope > global > default. Select read of the thh table, and click OK to grant the table query permission to the HBase role.
    2. Edit the role. In the Configure Resource Permission table, choose Name of the desired cluster > HBase > HBase Scope > global > hbase, select Execute for hbase:meta, and click OK.
    3. Edit the role. In the Configure Resource Permission table, choose Name of the desired cluster > Hive > Hive Read Write Privileges > default. Select SELECT for the thh table, and click OK.

  10. On FusionInsight Manager, create a human-machine user, for example, hbase_select_user, add the user to the hive group, and bind the hive_hbase_select role to the user so that the user can query Hive and HBase tables.
  11. Run the following command to configure environment variables:

    source /opt/client/bigdata_env

  12. Run the following command to authenticate users:

    kinit hbase_select_user

  13. Run the following command to go to the shell environment of the Hive client:

    beeline

  14. Run the following command to use an HQL statement to query HBase table data:

    select * from thh;