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          • Configuring the Baseline Parameters for MapReduce Jobs - MapReduce Service

            Configuring the Baseline Parameters for MapReduce Jobs - MapReduce Service

            Configuring the Baseline Parameters for MapReduce Jobs Scenario The performance optimization effect is verified by comparing actual values with the baseline data. Therefore, determining optimal job baseline is critical to performance optimization. When determining the job baseline

            Help > MapReduce Service > Component Operation Guide (Normal) > Using MapReduce > MapReduce Performance Tuning
          • Changing the Password for the OMS Database Administrator - MapReduce Service

            Changing the Password for the OMS Database Administrator - MapReduce Service

            Changing the Password for the OMS Database Administrator You are advised to regularly change the password for the OMS database administrator to enhance system O&M security. Log in to the active management node as user root. To ensure smooth cluster running, you are not allowed to

            Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Security Configuration > Changing the Passwords for Database Users of an MRS Cluster
          • Configuring Notification Rules for MRS Jobs - MapReduce Service

            Configuring Notification Rules for MRS Jobs - MapReduce Service

            Configuring Notification Rules for MRS Jobs Simple Message Notification (SMN) is a reliable and flexible large-scale message notification service. It enables you to efficiently send messages to various endpoints, such as email addresses and phone numbers. MRS uses SMN to offer a publish

            Help > MapReduce Service > User Guide > Managing Clusters > Managing MRS Cluster Jobs
          • RocksDB State Backend of Flink Jobs - MapReduce Service

            RocksDB State Backend of Flink Jobs - MapReduce Service

            RocksDB State Backend of Flink Jobs This topic is available for MRS 3.3.0 and later versions only. Flink Job RocksDB When RocksDB is enabled as the state backend for jobs, a large amount of state data causes poor read and write performance of RocksDB. You can perform the following

            Help > MapReduce Service > Component Operation Guide (LTS) > Using Flink > Flink Performance Tuning
          • Viewing the Health Status of FlinkServer Jobs - MapReduce Service

            Viewing the Health Status of FlinkServer Jobs - MapReduce Service

            Viewing the Health Status of FlinkServer Jobs This topic is available for MRS 3.3.0 or later only. Job Health Status When a large number of Flink jobs are running in a cluster, the FlinkServer web UI provides the Flink job health management function to help you evaluate the health

            Help > MapReduce Service > Component Operation Guide (LTS) > Using Flink > Managing FlinkServer Jobs
          • Managing Oozie Jobs Using Hue - MapReduce Service

            Managing Oozie Jobs Using Hue - MapReduce Service

            Managing Oozie Jobs Using Hue Scenario Users can use the Hue web UI to query all jobs in an MRS cluster. Hue provides a UI for Oozie job management. The Hue UI is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting

            Help > MapReduce Service > Component Operation Guide (LTS) > Using Hue > Creating a Hue Job
          • Configuring the Baseline Parameters for MapReduce Jobs - MapReduce Service

            Configuring the Baseline Parameters for MapReduce Jobs - MapReduce Service

            Configuring the Baseline Parameters for MapReduce Jobs Scenario The performance optimization effect is verified by comparing actual values with the baseline data. Therefore, determining optimal job baseline is critical to performance optimization. When determining the job baseline

            Help > MapReduce Service > Component Operation Guide (LTS) > Using MapReduce > MapReduce Performance Tuning
          • Configuring the Distributed Cache to Execute MapReduce Jobs - MapReduce Service

            Configuring the Distributed Cache to Execute MapReduce Jobs - MapReduce Service

            Configuring the Distributed Cache to Execute MapReduce Jobs Scenarios This section applies to MRS 3.x or later. Distributed caching is useful in the following scenarios: Rolling upgrade During the upgrade, applications must keep the text content (JAR file or configuration file) unchanged

            Help > MapReduce Service > Component Operation Guide (Normal) > Using MapReduce
          • Changing the Password for an OMS Database Access User - MapReduce Service

            Changing the Password for an OMS Database Access User - MapReduce Service

            Changing the Password for an OMS Database Access User This section describes how to regularly change the password for an OMS database access user to enhance system O&M security. Impact on the System The OMS service needs to be restarted for the new password to take effect. The service

            Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Security Configuration > Changing the Passwords for Database Users of an MRS Cluster
          • Failed to Run Jobs Related to the sftp-connector Connector - MapReduce Service

            Failed to Run Jobs Related to the sftp-connector Connector - MapReduce Service

            Failed to Run Jobs Related to the sftp-connector Connector Symptom The jobs related to the sftp-connector connector fail to be executed and "Failed to obtain the SFTP stream" is displayed. xxx (Failed to send channel request.) Error "subsystem request failed on channel 0. Connection

            Help > MapReduce Service > Component Operation Guide (LTS) > Using Loader > Common Issues About Loader
          • DataArts Studio Failed to Schedule Spark Jobs - MapReduce Service

            DataArts Studio Failed to Schedule Spark Jobs - MapReduce Service

            DataArts Studio Failed to Schedule Spark Jobs Issue DataArts Studio fails to schedule jobs, and a message is displayed indicating that data in the /thriftserver/active_thriftserver directory cannot be read. Symptom DataArts Studio fails to schedule jobs, and the following error is

            Help > MapReduce Service > Troubleshooting > Using Spark
          • Configuring the Distributed Cache to Execute MapReduce Jobs - MapReduce Service

            Configuring the Distributed Cache to Execute MapReduce Jobs - MapReduce Service

            Configuring the Distributed Cache to Execute MapReduce Jobs Scenarios This section applies to MRS 3.x or later. Distributed caching is useful in the following scenarios: Rolling upgrade During the upgrade, applications must keep the text content (JAR file or configuration file) unchanged

            Help > MapReduce Service > Component Operation Guide (LTS) > Using MapReduce
          • Where Are the Execution Logs of Spark Jobs Stored? - MapReduce Service

            Where Are the Execution Logs of Spark Jobs Stored? - MapReduce Service

            Where Are the Execution Logs of Spark Jobs Stored? Logs of unfinished Spark jobs are stored in the /srv/BigData/hadoop/data1/nm/containerlogs/ directory on the Core node. Logs of finished Spark jobs are stored in the /tmp/logs/Username/logs directory of the HDFS. Parent topic: Job

            Help > MapReduce Service > FAQs > Job Management
          • ALM-12039 Active/Standby OMS Databases Not Synchronized - MapReduce Service

            ALM-12039 Active/Standby OMS Databases Not Synchronized - MapReduce Service

            ALM-12039 Active/Standby OMS Databases Not Synchronized Description The system checks the data synchronization status between the active and standby OMS Databases every 10 seconds. This alarm is generated when the synchronization status cannot be queried for 30 consecutive times or

            Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Alarm Handling Reference
          • ALM-12062 OMS Parameter Configurations Mismatch with the Cluster Scale - MapReduce Service

            ALM-12062 OMS Parameter Configurations Mismatch with the Cluster Scale - MapReduce Service

            ALM-12062 OMS Parameter Configurations Mismatch with the Cluster Scale Alarm Description The system checks whether the OMS parameter configurations match with the cluster scale at each top hour. If the OMS parameter configurations do not meet the cluster scale requirements, the system

            Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Alarm Handling Reference
          • Data Cannot Be Saved When Loader Jobs Are Configured - MapReduce Service

            Data Cannot Be Saved When Loader Jobs Are Configured - MapReduce Service

            Data Cannot Be Saved When Loader Jobs Are Configured Question When Internet Explorer 10 or 11 is used to access the Loader page and submit data, an error is reported. Answer Symptom After data is saved and submitted, an error similar to "Invalid query parameter jobgroup id. cause:

            Help > MapReduce Service > Component Operation Guide (LTS) > Using Loader > Common Issues About Loader
          • Quota for Submitting Flink Jobs to ZooKeeper Exceeds the Threshold - MapReduce Service

            Quota for Submitting Flink Jobs to ZooKeeper Exceeds the Threshold - MapReduce Service

            Quota for Submitting Flink Jobs to ZooKeeper Exceeds the Threshold Symptom The quota for submitting Flink jobs to ZooKeeper exceeds the threshold. Possible Causes The number of submitted jobs exceeds the maximum number of jobs that can be processed by the flinkznode node. By default

            Help > MapReduce Service > Component Operation Guide (LTS) > Using Flink > Common Issues About Flink
          • Enhancing the Joins of Large and Small Tables in Flink Jobs - MapReduce Service

            Enhancing the Joins of Large and Small Tables in Flink Jobs - MapReduce Service

            Enhancing the Joins of Large and Small Tables in Flink Jobs This section applies to MRS 3.3.0 or later. Joining Big and Small Tables There are big tables and small tables when you join two Flink streams. Small table data is broadcasted to every join task, and large table data is rebalanced

            Help > MapReduce Service > Component Operation Guide (LTS) > Using Flink > Enterprise-Class Enhancements of Flink
          • An Error Is Reported When Oozie Schedules HiveSQL Jobs - MapReduce Service

            An Error Is Reported When Oozie Schedules HiveSQL Jobs - MapReduce Service

            An Error Is Reported When Oozie Schedules HiveSQL Jobs Symptom In an MRS 3.x cluster, Oozie fails to schedule Hive jobs. The HiveSQL logs show that the scheduling task is executed successfully but the Yarn job fails. The error information is as follows: java.io.ioException:output.properties

            Help > MapReduce Service > Troubleshooting > Using Oozie
          • What Types of Spark Jobs Can Be Submitted in a Cluster? - MapReduce Service

            What Types of Spark Jobs Can Be Submitted in a Cluster? - MapReduce Service

            What Types of Spark Jobs Can Be Submitted in a Cluster? Question: What Types of Spark Jobs Can Be Submitted in a Cluster? Answer: MRS clusters support Spark jobs submitted in Spark, Spark Script, or Spark SQL mode. Parent topic: Job Management

            Help > MapReduce Service > FAQs > Job Management
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