Running a HiveSQL Job

Prerequisites

You have uploaded the program packages and data files required for running jobs to OBS or HDFS.

Submitting a Job on the GUI

1. Log in to the MRS console.
2. Choose Clusters > Active Clusters, select a running cluster, and click its name to switch to the cluster details page.
3. If Kerberos authentication is enabled for the cluster, perform the following steps. If Kerberos authentication is not enabled for the cluster, skip this step.

   In the Basic Information area on the Dashboard page, click Synchronize on the right side of IAM User Sync to synchronize IAM users. For details, see Synchronizing IAM Users to MRS.

   

   • When the policy of the user group to which the IAM user belongs changes from MRS ReadOnlyAccess to MRS CommonOperations, MRS FullAccess, or MRS Administrator, wait for 5 minutes until the new policy takes effect after the synchronization is complete because the SSSD (System Security Services Daemon) cache of cluster nodes needs time to be updated. Then, submit a job. Otherwise, the job may fail to be submitted.
   • When the policy of the user group to which the IAM user belongs changes from MRS CommonOperations, MRS FullAccess, or MRS Administrator to MRS ReadOnlyAccess, wait for 5 minutes until the new policy takes effect after the synchronization is complete because the SSSD cache of cluster nodes needs time to be updated.

4. Click the Jobs tab.
5. Click Create. The Create Job page is displayed.
6. Configure job information.
   • Set Type to HiveSQLif the cluster version is MRS 2.0.1 or later. Configure other parameters of the HiveSQL job by referring to Table 1.
   • Set Type to Hive Scriptif the cluster version is earlier than MRS 2.0.1. Configure other parameters of the Hive Script job by referring to Table 4.

   Table 1 Job configuration information

   Parameter	Description
   Name	Job name. It contains 1 to 64 characters. Only letters, digits, hyphens (-), and underscores (_) are allowed. NOTE: You are advised to set different names for different jobs.
   SQL Type	Submission type of the SQL statement SQL Script
   SQL Statement	This parameter is valid only when SQL Type is set to SQL. Enter the SQL statement to be executed, and then click Check to check whether the SQL statement is correct. If you want to submit and execute multiple statements at the same time, use semicolons (;) to separate them.
   SQL File	This parameter is valid only when SQL Type is set to Script. The path of the SQL file to be executed must meet the following requirements: Contains a maximum of 1,023 characters, excluding special characters such as ;|&><'$. The parameter value cannot be empty or full of spaces. The path of the program to be executed can be stored in HDFS or OBS. The path varies depending on the file system. OBS: The path must start with obs://. Example: obs://wordcount/program/xxx.jar HDFS: The path must start with /user. For details about how to import data to HDFS, see Importing Data. For SparkScript and HiveScript, the path must end with .sql. For MapReduce, the path must end with .jar. For Flink and SparkSubmit, the path must end with .jar or .py. The .sql, .jar, and .py are case-insensitive. NOTE: For MRS 1.9.2 or later: A file path on OBS can start with obs://. To submit jobs in this format, you need to configure permissions for accessing OBS. If the OBS permission control function is enabled during cluster creation, you can use the obs:// directory without extra configuration. If the OBS permission control function is not enabled or is not supported when you create a cluster, configure the function by following instructions in Accessing OBS.
   Program Parameter	(Optional) Used to configure optimization parameters such as threads, memory, and vCPUs for the job to optimize resource usage and improve job execution performance. Table 2 describes the common parameters of a running program.
   Service Parameter	(Optional) It is used to modify service parameters for the job. The parameter modification applies only to the current job. To make the modification take effect permanently for the cluster, follow instructions in Configuring Service Parameters. To add multiple parameters, click on the right. To delete a parameter, click Delete on the right. Table 3 lists the common service configuration parameters.
   Command Reference	Command submitted to the background for execution when a job is submitted.

   Table 2 Program parameters

   Parameter	Description	Example Value
   --hiveconf	Hive service configuration, for example, set the execution engine to MapReduce.	Setting the execution engine to MR: --hiveconf "hive.execution.engine=mr"
   --hivevar	Custom variable, for example, variable ID.	Setting the variable ID: --hivevar id="123" select * from test where id = ${hivevar:id}

   Table 3 Service parameters

   Parameter	Description	Example Value
   fs.obs.access.key	Key ID for accessing OBS.	-
   fs.obs.secret.key	Key corresponding to the key ID for accessing OBS.	-
   hive.execution.engine	Engine for running a job.	mr tez

   Table 4 Job configuration information

   Parameter	Description
   Name	Job name. It contains 1 to 64 characters. Only letters, digits, hyphens (-), and underscores (_) are allowed. NOTE: You are advised to set different names for different jobs.
   Program Path	Path of the program package to be executed. The following requirements must be met: Contains a maximum of 1,023 characters, excluding special characters such as ;|&><'$. The parameter value cannot be empty or full of spaces. The path of the program to be executed can be stored in HDFS or OBS. The path varies depending on the file system. OBS: The path must start with s3a://. Example: s3a://wordcount/program/xxx.jar HDFS: The path must start with /user. For details about how to import data to HDFS, see Importing Data. For SparkScript, the path must end with .sql. For MapReduce and Spark, the path must end with .jar. The .sql and .jar are case-insensitive.
   Parameters	Key parameter for program execution. The parameter is specified by the function of the user's program. MRS is only responsible for loading the parameter. Multiple parameters are separated by space. Configuration method: Package name.Class name The parameter contains a maximum of 150,000 characters. It cannot contain special characters ;|&><'$, but can be left blank. NOTE: When entering a parameter containing sensitive information (for example, login password), you can add an at sign (@) before the parameter name to encrypt the parameter value. This prevents the sensitive information from being persisted in plaintext. When you view job information on the MRS management console, the sensitive information is displayed as *. Example: username=admin @password=admin_123
   Import From	Path for inputting data Data can be stored in HDFS or OBS. The path varies depending on the file system. OBS: The path must start with s3a://. HDFS: The path must start with /user. For details about how to import data to HDFS, see Importing Data. The parameter contains a maximum of 1,023 characters, excluding special characters such as ;|&>,<'$, and can be left blank.
   Export To	Path for outputting data NOTE: When setting this parameter, select OBS or HDFS. Select a file directory or manually enter a file directory, and click OK. If you add the hadoop-mapreduce-examples-x.x.x.jar sample program or a program similar to hadoop-mapreduce-examples-x.x.x.jar, enter a directory that does not exist. Data can be stored in HDFS or OBS. The path varies depending on the file system. OBS: The path must start with s3a://. HDFS: The path must start with /user. The parameter contains a maximum of 1,023 characters, excluding special characters such as ;|&>,<'$, and can be left blank.
   Log Path	Path for storing job logs that record job running status. Data can be stored in HDFS or OBS. The path varies depending on the file system. OBS: The path must start with s3a://. HDFS: The path must start with /user. The parameter contains a maximum of 1,023 characters, excluding special characters such as ;|&>,<'$, and can be left blank.

7. Confirm job configuration information and click OK.

   After the job is created, you can manage it.

Submitting a Job in the Background

1. Log in to a Master node. For details, see Logging In to an ECS.
2. Run the following command to initialize environment variables:

   source /opt/BigData/client/bigdata_env

   

   • The default client installation path for MRS 3.x or later is /opt/Bigdata/client, and for versions earlier than MRS 3.x is /opt/client. Configure the path based on site requirements.
   • If you use the client to connect to a specific Hive multi-instance in a scenario where multiple Hive instances are installed, run the following command to load the environment variables of the instance. Otherwise, skip this step. For example, load the environment variables of the Hive2 instance.

     source /opt/BigData/client/Hive2/component_env

3. If the Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If the Kerberos authentication is disabled for the current cluster(normal mode), skip this step.

   kinit MRS cluster user (The user must be in the hive user group.)

4. Run the beeline command to connect to HiveServer and run tasks.

   beeline

   For clusters in normal mode, run the following commands. If no component service user is specified, the current OS user is used to log in to the HiveServer.

   beeline -n Component service user

   beeline -f SQL files (SQLs in the execution files)