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        • Creating a Table - MapReduce Service

          Creating a Table - MapReduce Service

          After a table is created, you can use ALTER TABLE to add or delete fields, modify table attributes, and add partitions. -- Add the tel_phone and email fields to the employees_info_extended table.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Impala Development Guide (Security Mode) > Application Development
        • Scenario - MapReduce Service

          Scenario - MapReduce Service

          information to a topic node (directory) * @param topic @param The topic indicates the directory to be registered with * @param The registerRecord indicates the information to be registered */ void register(String topic, RegisterRecord registerRecord) throws Exception; /** *Delete

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Flink Development Guide (Security Mode) > Developing an Application > Job Pipeline Program
        • Creating an Impala Table - MapReduce Service

          Creating an Impala Table - MapReduce Service

          After a table is created, you can use ALTER TABLE to add or delete fields, modify table attributes, and add partitions. -- Add the tel_phone and email fields to the employees_info_extended table.

          Help > MapReduce Service > Developer Guide (Normal_Earlier Than 3.x) > Impala Development Guide > Developing Impala Applications
        • Creating a Hive Table - MapReduce Service

          Creating a Hive Table - MapReduce Service

          After a table is created, you can use ALTER TABLE to add or delete fields, modify table attributes, and add partitions. -- Add the tel_phone and email fields to the employees_info_extended table.

          Help > MapReduce Service > Developer Guide (Normal_Earlier Than 3.x) > Hive Development Guide > Developing a Hive Application
        • Creating a Storm Topology - MapReduce Service

          Creating a Storm Topology - MapReduce Service

          To use another mode, delete code comments. */ submitTopology(builder, SubmitType.CMD); } private static void submitTopology(TopologyBuilder builder, SubmitType type) throws Exception { switch (type) {

          Help > MapReduce Service > Developer Guide (Normal_Earlier Than 3.x) > Storm Development Guide > Developing a Storm Application
        • MapReduce Application Development Rules - MapReduce Service

          MapReduce Application Development Rules - MapReduce Service

          Path outputPath = new Path(otherArgs[1]); FileSystem fs = outputPath.getFileSystem(conf); // If the output path already exists, delete it. if (fs.exists(outputPath)) { fs.delete(outputPath, true); } FileInputFormat.addInputPath(job, new Path(otherArgs[0])); FileOutputFormat.setOutputPath

          Help > MapReduce Service > Component Development Specifications > Mapreduce
        • Flink Job Pipeline Sample Program Development Roadmap - MapReduce Service

          Flink Job Pipeline Sample Program Development Roadmap - MapReduce Service

          information to a topic node (directory) * @param topic @param The topic indicates the directory to be registered with * @param The registerRecord indicates the information to be registered */ void register(String topic, RegisterRecord registerRecord) throws Exception; /** *Delete

          Help > MapReduce Service > Developer Guide (LTS) > Flink Development Guide (Security Mode) > Developing a Flink Application > Flink Job Pipeline Sample Program
        • ClickHouse Fails to Start Due to Incorrect Data in ZooKeeper - MapReduce Service

          ClickHouse Fails to Start Due to Incorrect Data in ZooKeeper - MapReduce Service

          Run the following command to delete the replica data from ZooKeeper: deleteall zookeeper_path/replicas/replica_num Use the ClickHouse client to log in to the faulty node and create the ReplicatedMergeTree engine table of the cluster. clickhouse client --host ClickHouse instance IP

          Help > MapReduce Service > Troubleshooting > Using ClickHouse
        • Configuring the Source Data Heartbeat Table for Data Integrity Check - MapReduce Service

          Configuring the Source Data Heartbeat Table for Data Integrity Check - MapReduce Service

          If this batch does not contain heartbeat data, the value of event_time_min is used. insert_num The total number of data insert events in this batch. update_num The total number of data update events in this batch. delete_num The total number of data delete events in this batch. event_time_min

          Help > MapReduce Service > Component Operation Guide (LTS) > Using CDL > Preparing for Creating a CDL Job
        • Configuring the Queue Capacity Policy of a Resource Pool - MapReduce Service

          Configuring the Queue Capacity Policy of a Resource Pool - MapReduce Service

          Click Clear in the Operation column to delete an existing user policy. Click OK to save the settings. For MRS clusters of 2.x and earlier: On MRS Manager, click Tenant. Click the Dynamic Resource Plan tab. In Resource Pools, select a specified resource pool.

          Help > MapReduce Service > User Guide > Managing Clusters > Managing MRS Cluster Tenants > Configuring MRS Tenants
        • ALM-12011 Manager Data Synchronization Exception Between the Active and Standby Nodes - MapReduce Service

          ALM-12011 Manager Data Synchronization Exception Between the Active and Standby Nodes - MapReduce Service

          Run the following command to delete it. rm -rf files to be deleted Wait for several minutes and check whether the alarm is cleared. If the alarm persists, go to 12. If the file size is not 0, go to 12. View the log files generated when the alarm is generated.

          Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Alarm Handling Reference
        • ALM-12052 TCP Temporary Port Usage Exceeds the Threshold - MapReduce Service

          ALM-12052 TCP Temporary Port Usage Exceeds the Threshold - MapReduce Service

          Then, delete the two residual temporary files from the environment. Alarm Clearing After the fault is rectified, the system automatically clears this alarm. Related Information None Parent topic: MRS Cluster Alarm Handling Reference

          Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Alarm Handling Reference
        • ALM-45641 Data Synchronization Exception Between the Active and Standby FlinkServer Nodes - MapReduce Service

          ALM-45641 Data Synchronization Exception Between the Active and Standby FlinkServer Nodes - MapReduce Service

          Run the following command to delete it: rm -rf Files to be deleted Wait for several minutes and check whether the alarm is cleared. If the alarm persists, go to 12. If the file size is not 0, go to 12. View the log file generated when the alarm is reported.

          Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Alarm Handling Reference
        • Typical Scenario: Importing Data from HDFS to ClickHouse - MapReduce Service

          Typical Scenario: Importing Data from HDFS to ClickHouse - MapReduce Service

          NOTE: If you select true and the table to be imported is a ClickHouse distributed table, you need to manually delete the data from the local table corresponding to the ClickHouse distributed table before your import. false Extractors Number of Maps that are started at the same time

          Help > MapReduce Service > Component Operation Guide (Normal) > Using Loader > Importing Data
        • Using UDFs in FlinkServer Jobs - MapReduce Service

          Using UDFs in FlinkServer Jobs - MapReduce Service

          You can edit or delete UDF information in the Operation column. (Only unused UDF items can be deleted.) (Optional) If you need to run or develop a job immediately, configure the job on the Job Management page. For details, see Creating a FlinkServer Job.

          Help > MapReduce Service > Component Operation Guide (Normal) > Using Flink > Managing FlinkServer Jobs
        • Hudi Clustering - MapReduce Service

          Hudi Clustering - MapReduce Service

          Currently, the clean mechanism cannot be used to delete junk files generated after the clustering fails. After the clustering, sizes of new files may be different, causing data skew. Clustering and upsert operations cannot be performed at the same time.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Hudi > Hudi Data Management and Maintenance
        • Using Loader to Import Data from HDFS to ClickHouse - MapReduce Service

          Using Loader to Import Data from HDFS to ClickHouse - MapReduce Service

          NOTE: If you select true and the table to be imported is a ClickHouse distributed table, you need to manually delete the data from the local table corresponding to the ClickHouse distributed table before your import. false Extractors Number of Maps that are started at the same time

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Loader > Creating a Loader Data Import Job
        • Manually Updating the Service Client of JobGateway - MapReduce Service

          Manually Updating the Service Client of JobGateway - MapReduce Service

          Run the following commands on all JobServer nodes to delete the timestamps of all JobServer nodes: TIME_RECORD_FILE=${BIGDATA_HOME}/FusionInsight_JobGateway*/install/FusionInsight-JobGateway*/job-gateway/job-server/tmp/multi-service-update-time rm -f ${TIME_RECORD_FILE} Parent topic

          Help > MapReduce Service > Component Operation Guide (LTS) > Using JobGateway
        • Error Codes - MapReduce Service

          Error Codes - MapReduce Service

          Call the API again, contact technical support, or check whether the cluster is normal. 400 0161 Failed to delete jobs in batches. Failed to delete jobs in batches.

          Help > MapReduce Service > API Reference > Appendix
        • Creating a Secondary Index - MapReduce Service

          Creating a Secondary Index - MapReduce Service

          If you need to modify them, delete old indexes and create new ones.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > HBase Development Guide (Normal Mode) > Developing an Application > Reading/Writing Data
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