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        • Using Hive for Data Analysis - MapReduce Service

          Using Hive for Data Analysis - MapReduce Service

          Delete the user information table after service A ends.

          Help > MapReduce Service > Component Operation Guide (Normal) > Using Hive
        • Creating a Hive Role - MapReduce Service

          Creating a Hive Role - MapReduce Service

          They can create tables, select, delete, insert, or update data, and grant permissions to other users to allow them to access the tables and corresponding HDFS directories and files.

          Help > MapReduce Service > Component Operation Guide (Normal) > Using Hive > Hive User Permission Management
        • Configuring the FlinkServer Job Restart Policy - MapReduce Service

          Configuring the FlinkServer Job Restart Policy - MapReduce Service

          After a job is created, you can start, develop, stop, edit, and delete the job, view job details, and rectify checkpoint faults in the Operation column of the job.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Flink > Managing FlinkServer Jobs
        • Hive WebHCat APIs - MapReduce Service

          Hive WebHCat APIs - MapReduce Service

          For details, see templeton.protocol.type in Services > Hive > Service Configuration on the MRS Manager management page. ddl/database/:db (DELETE) Description Delete a database.

          Help > MapReduce Service > Developer Guide (Normal_Earlier Than 3.x) > Hive Development Guide > FAQs About Hive Application Development
        • Accessing an MRS Cluster's Manager (Version 2.x or Earlier) - MapReduce Service

          Accessing an MRS Cluster's Manager (Version 2.x or Earlier) - MapReduce Service

          Locate AllowTcpForwarding and GatewayPorts and delete comment tags. Modify them as follows. Save the changes and exit.

          Help > MapReduce Service > User Guide > Configuring Storage-Compute Decoupling for an MRS Cluster > FAQ About Decoupled Storage and Compute
        • Accessing MRS FusionInsight Manager - MapReduce Service

          Accessing MRS FusionInsight Manager - MapReduce Service

          Locate AllowTcpForwarding and GatewayPorts and delete comment tags. Modify them as follows. Save the changes and exit.

          Help > MapReduce Service > User Guide > Managing Clusters
        • Configuring and Importing Sample Projects - MapReduce Service

          Configuring and Importing Sample Projects - MapReduce Service

          Otherwise, delete the files about the multi-component accessing sample project after importing a sample project. Import the sample project to the IntelliJ IDEA development environment. Run IntelliJ IDEA and choose File > Open.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > MapReduce Development Guide (Security Mode) > Environment Preparation
        • Support for Third-party JAR Packages on x86 and TaiShan Platforms - MapReduce Service

          Support for Third-party JAR Packages on x86 and TaiShan Platforms - MapReduce Service

          spark-archive-2x-arm.zip and spark-archive-2x-x86.zip packages in 3 to the /user/spark2x/jars/8.1.0.1 directory of HDFS: hdfs dfs -put spark-archive-2x-arm.zip /user/spark2x/jars/8.1.0.1/ hdfs dfs -put spark-archive-2x-x86.zip /user/spark2x/jars/8.1.0.1/ After the upload is complete, delete

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Spark2x Development Guide (Normal Mode) > FAQs About Spark Application Development
        • Commissioning Applications on Windows - MapReduce Service

          Commissioning Applications on Windows - MapReduce Service

          _c0 0 Delete table success! Parent topic: Application Commissioning

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Impala Development Guide (Security Mode) > Application Commissioning
        • Viewing Windows Commissioning Results - MapReduce Service

          Viewing Windows Commissioning Results - MapReduce Service

          successfully. 2016-07-13 14:36:17,299 INFO [main] basic.PutDataSample: Successfully put 9 items data into sampleNameSpace:sampleTable. 2016-07-13 14:36:18,992 INFO [main] basic.ScanSample: Scan data successfully. 2016-07-13 14:36:20,532 INFO [main] basic.DeletaDataSample: Successfully delete

          Help > MapReduce Service > Developer Guide (Normal_3.x) > HBase Development Guide (Normal Mode) > Application Commissioning > Commissioning an Application in Windows
        • Configuring and Importing Sample Projects - MapReduce Service

          Configuring and Importing Sample Projects - MapReduce Service

          Otherwise, delete the files about the multi-components accessing sample project after importing the sample projects. Parent topic: Environment Preparation

          Help > MapReduce Service > Developer Guide (LTS) > MapReduce Development Guide (Security Mode) > Environment Preparation
        • Cancelling Synchronization of Specified Users and User Groups - MapReduce Service

          Cancelling Synchronization of Specified Users and User Groups - MapReduce Service

          URI DELETE /v2/{project_id}/clusters/{cluster_id}/iam-sync-user Table 1 URI parameters Parameter Mandatory Type Description project_id Yes String Explanation Project ID. For details about how to obtain the project ID, see Obtaining a Project ID.

          Help > MapReduce Service > API Reference > API V2 > IAM Synchronization
        • Viewing Windows Commissioning Results - MapReduce Service

          Viewing Windows Commissioning Results - MapReduce Service

          successfully. 2016-07-13 14:36:17,299 INFO [main] basic.PutDataSample: Successfully put 9 items data into sampleNameSpace:sampleTable. 2016-07-13 14:36:18,992 INFO [main] basic.ScanSample: Scan data successfully. 2016-07-13 14:36:20,532 INFO [main] basic.DeletaDataSample: Successfully delete

          Help > MapReduce Service > Developer Guide (LTS) > HBase Development Guide (Normal Mode) > Application Commissioning > Commissioning an Application in Windows
        • Accessing Hive Data Sources Using HSBroker - MapReduce Service

          Accessing Hive Data Sources Using HSBroker - MapReduce Service

          This section describes how to use HSBroker to connect to HetuEngine, assemble SQL statements, and send the them to HetuEngine for execution to add, delete, modify, and query Hive data sources. import jaydebeapi driver = "io.XXX.jdbc.XXXDriver" # need to change the value based

          Help > MapReduce Service > Developer Guide (LTS) > HetuEngine Development Guide (Normal Mode) > Application Development > Python3 Sample Code
        • Using HDFS - MapReduce Service

          Using HDFS - MapReduce Service

          Remains An Error Is Reported When the HDFS Client Is Installed on the Core Node in a Common Cluster Client Installed on a Node Outside the Cluster Fails to Upload Files Using hdfs Insufficient Number of Replicas Is Reported During High Concurrent HDFS Writes HDFS Client Failed to Delete

          Help > MapReduce Service > Troubleshooting
        • Failed to Switch to the Log Page from stderr and stdout on the Native Spark2x Page - MapReduce Service

          Failed to Switch to the Log Page from stderr and stdout on the Native Spark2x Page - MapReduce Service

          To view complete logs, you can delete stdout or stderr from the URL and then access all logs of the executor. Example URL for accessing stderr logs: https://<EIP>:9022/component/Yarn/NodeManager/15/node/containerlogs/container_e04_1627976981617_0002_01_000002/root/stderr?

          Help > MapReduce Service > Troubleshooting > Using Spark
        • Configuring the Support for Transactions on ClickHouse - MapReduce Service

          Configuring the Support for Transactions on ClickHouse - MapReduce Service

          If the execution of alter queries (for example, lightweight delete) is interrupted, it cannot be rolled back even if implicit transactions are enabled. This is the same as open-source ClickHouse.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using ClickHouse > Enterprise-Class Enhancements of ClickHouse
        • Interconnecting ClickHouse with HDFS (MRS 3.2.0-LTS) - MapReduce Service

          Interconnecting ClickHouse with HDFS (MRS 3.2.0-LTS) - MapReduce Service

          The HDFS engine of ClickHouse only works with files but does not create or delete directories. Only the ClickHouse cluster deployed on x86 nodes can connect to HDFS. The ClickHouse cluster deployed on Arm nodes cannot connect to HDFS.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using ClickHouse > ClickHouse Data Import
        • Configuring the Hive Column Encryption - MapReduce Service

          Configuring the Hive Column Encryption - MapReduce Service

          When you import data from a common Hive table into a Hive column encryption table, you are advised to delete the original data from the common Hive table as long as doing this does not affect other services. Retaining an unencrypted table poses security risks.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Hive > Configuring Hive Data Storage and Encryption
        • ALM-12051 Disk Inode Usage Exceeds the Threshold (For MRS 2.x or Earlier) - MapReduce Service

          ALM-12051 Disk Inode Usage Exceeds the Threshold (For MRS 2.x or Earlier) - MapReduce Service

          If yes, delete the files and go to 6. If no, adjust the capacity. Then go to 7. Wait 5 minutes and check whether the alarm is cleared. If yes, no further action is required. If no, go to 7. Check whether the system environment is normal.

          Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Alarm Handling Reference
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