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        • Configuring Ranger Security Zone - MapReduce Service

          Configuring Ranger Security Zone - MapReduce Service

          If resources do not need to be managed in a security zone, the Ranger administrator can click Delete to delete the security zone. Configuring Permission Policies in a Security Zone Log in to the Ranger management page as the Ranger administrator of a security zone.

          Help > MapReduce Service > Component Operation Guide (Normal) > Using Ranger (MRS 3.x)
        • ALM-14001 HDFS Disk Usage Exceeds the Threshold - MapReduce Service

          ALM-14001 HDFS Disk Usage Exceeds the Threshold - MapReduce Service

          Procedure Check the disk capacity and delete unnecessary files. On the FusionInsight Manager portal, choose Cluster > Name of the desired cluster > Services > HDFS.

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

          MRS Cluster User Accounts - MapReduce Service

          Do not delete database users. Otherwise, the cluster or components may not work properly.

          Help > MapReduce Service > User Guide > Managing Clusters > Managing MRS Cluster Users
        • Using the Impala Client - MapReduce Service

          Using the Impala Client - MapReduce Service

          Delete the user information table after service A ends. Table 1 User information No.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Impala
        • Introduction to HBase Global Secondary Indexes - MapReduce Service

          Introduction to HBase Global Secondary Indexes - MapReduce Service

          DDL operations on indexes allow you to modify index status, delete indexes, and create indexes. Index definitions cannot be modified. To modify index definitions, delete them and create indexes again.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using HBase > Enterprise-Class Enhancements of HBase > Configuring HBase Global Secondary Indexes for Faster Queries
        • Commissioning Applications on Linux - MapReduce Service

          Commissioning Applications on Linux - MapReduce Service

          _c0 0 Delete table success! If the following error information is displayed, configure the log4j2 information according to the error information. Parent topic: Application Commissioning

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Impala Development Guide (Normal Mode) > Application Commissioning
        • Failed to Write Files to HDFS, and "item limit of / is exceeded" Is Displayed - MapReduce Service

          Failed to Write Files to HDFS, and "item limit of / is exceeded" Is Displayed - MapReduce Service

          If it is abnormal, delete unnecessary files. Parent topic: Using HDFS

          Help > MapReduce Service > Troubleshooting > Using HDFS
        • An Error Is Reported When sqoop import Is Executed to Import PostgreSQL Data to Hive - MapReduce Service

          An Error Is Reported When sqoop import Is Executed to Import PostgreSQL Data to Hive - MapReduce Service

          Delete the gsjdbc4-*.jar packages from all core nodes, and add the PostgreSQL JAR package to sqoop/lib. mv /opt/Bigdata/FusionInsight_HD_*/1_*_DataNode/install/hadoop/share/hadoop/common/lib/gsjdbc4-*.jar /tmp Parent topic: Using Sqoop

          Help > MapReduce Service > Troubleshooting > Using Sqoop
        • Region in the RIT State for a Long Time Due to HBase File Loss - MapReduce Service

          Region in the RIT State for a Long Time Due to HBase File Loss - MapReduce Service

          Procedure On the HDFS client, run the following command to delete the residual file queried in 2: hdfs dfs -rmr HDFS path of the residual file Example: hdfs dfs -rmr /hbase/news_user_actions/3b3ae24c65fc5094bc2acfebaa7a56de/meta/0f47cda55fa44cf9aa2599079894aed6.b7b3faab86527b88a92f2a248a54d3dc

          Help > MapReduce Service > Troubleshooting > Using HBase
        • What Should I Do If Occasionally Occurs During Table Creation Due to the Configuration of the SSD and HDD Data Directories? - MapReduce Service

          What Should I Do If Occasionally Occurs During Table Creation Due to the Configuration of the SSD and HDD Data Directories? - MapReduce Service

          Delete the explicit SSD configuration from the be.conf file. Add the properties parameter properties {"storage_medium" = "ssd"} when creating a table. Parent topic: Common Issues About Doris

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Doris > Common Issues About Doris
        • SAVE_POINT - MapReduce Service

          SAVE_POINT - MapReduce Service

          The logic is as follows: roll back the latest savepoint; delete the savepoint; and roll back the next savepoint. System Response You can view query results on the client. Parent topic: Hudi CALL COMMAND Syntax

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Hudi > Hudi SQL Syntax Reference > Hudi CALL COMMAND Syntax
        • CLEANARCHIVE - MapReduce Service

          CLEANARCHIVE - MapReduce Service

          KEEP_ARCHIVED_FILES_BY_DAYS: used to delete archived files beyond a specified time point. hoodie.archive.file.cleaner.size.retained When the deletion policy is KEEP_ARCHIVED_FILES_BY_SIZE, this parameter specifies the number of bytes of archived files to be retained.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Hudi > Hudi SQL Syntax Reference > Hudi DML Syntax
        • Why Are There Too Many Topic Partitions Corresponding to the CDL Synchronization Task Names? - MapReduce Service

          Why Are There Too Many Topic Partitions Corresponding to the CDL Synchronization Task Names? - MapReduce Service

          On the Topics tab, search for the CDL task name and click Action > Delete in the Operation column. On the data synchronization job list page of CDL web UI, locate the row containing the target job and click Start to restart the job. Parent topic: CDL Troubleshooting

          Help > MapReduce Service > Component Operation Guide (LTS) > Using CDL > CDL Troubleshooting
        • Using Spark to Execute the Hudi Sample Project (Java) - MapReduce Service

          Using Spark to Execute the Hudi Sample Project (Java) - MapReduce Service

          Starting commit " + newCommitTime); List<HoodieRecord<HoodieAvroPayload>> toBeUpdated = dataGen.generateUpdates(newCommitTime, 2); records.addAll(toBeUpdated); recordsSoFar.addAll(toBeUpdated); writeRecords = jsc.parallelize(records, 1); client.upsert(writeRecords, newCommitTime); Delete

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Spark2x Development Guide (Normal Mode) > Developing Spark Applications > Using Spark to Execute the Hudi Sample Project
        • Using Spark to Execute the Hudi Sample Project (Java) - MapReduce Service

          Using Spark to Execute the Hudi Sample Project (Java) - MapReduce Service

          Starting commit " + newCommitTime); List<HoodieRecord<HoodieAvroPayload>> toBeUpdated = dataGen.generateUpdates(newCommitTime, 2); records.addAll(toBeUpdated); recordsSoFar.addAll(toBeUpdated); writeRecords = jsc.parallelize(records, 1); client.upsert(writeRecords, newCommitTime); Delete

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Spark2x Development Guide (Security Mode) > Developing a Spark Application > Using Spark to Execute the Hudi Sample Project
        • Using Spark to Execute the Hudi Sample Project (Java) - MapReduce Service

          Using Spark to Execute the Hudi Sample Project (Java) - MapReduce Service

          Starting commit " + newCommitTime); List<HoodieRecord<HoodieAvroPayload>> toBeUpdated = dataGen.generateUpdates(newCommitTime, 2); records.addAll(toBeUpdated); recordsSoFar.addAll(toBeUpdated); writeRecords = jsc.parallelize(records, 1); client.upsert(writeRecords, newCommitTime); Delete

          Help > MapReduce Service > Developer Guide (LTS) > Spark2x Development Guide (Security Mode) > Developing Spark Applications > Using Spark to Execute the Hudi Sample Project
        • Using Spark to Execute the Hudi Sample Project (Java) - MapReduce Service

          Using Spark to Execute the Hudi Sample Project (Java) - MapReduce Service

          Starting commit " + newCommitTime); List<HoodieRecord<HoodieAvroPayload>> toBeUpdated = dataGen.generateUpdates(newCommitTime, 2); records.addAll(toBeUpdated); recordsSoFar.addAll(toBeUpdated); writeRecords = jsc.parallelize(records, 1); client.upsert(writeRecords, newCommitTime); Delete

          Help > MapReduce Service > Developer Guide (LTS) > Spark2x Development Guide (Common Mode) > Developing Spark Applications > Using Spark to Execute the Hudi Sample Project
        • Optimizing ClickHouse Table Partitioning - MapReduce Service

          Optimizing ClickHouse Table Partitioning - MapReduce Service

          If the mutation task is abnormal, delete the task. Too many write requests cause the merge operation slower than the insert operation.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using ClickHouse > ClickHouse Performance Tuning
        • Using ZooKeeper from Scratch - MapReduce Service

          Using ZooKeeper from Scratch - MapReduce Service

          Create a ZNode. create /test View ZNode information. ls / Write data to the ZNode. set /test "zookeeper test" View the data written to the ZNode. get /test Delete the created ZNode. delete /test Parent topic: Using ZooKeeper

          Help > MapReduce Service > Component Operation Guide (LTS) > Using ZooKeeper
        • Using the HBase Client - MapReduce Service

          Using the HBase Client - MapReduce Service

          You can run the alter command to add, modify, or delete column family information and table-related parameter values, for example, alter 'test', {NAME => 'f3', METHOD => 'delete'}. describe Used to obtain the table description, for example, describe 'test'. drop Used to delete a specified

          Help > MapReduce Service > Component Operation Guide (Normal) > Using HBase
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