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        • ClickHouse Application Development Suggestions - MapReduce Service

          ClickHouse Application Development Suggestions - MapReduce Service

          If hourly partitioning is required in the service scenario, use toYYYYMMDD (table field pt_d) and toYYYYMMDD (table field pt_h) as the joint partitioning key. toYYYYMMDD (table field pt_h) is an integer number of hours.

          Help > MapReduce Service > Component Development Specifications > ClickHouse
        • Function Overview - MapReduce Service

          Function Overview - MapReduce Service

          Configuring an Auto Scaling Rule Upgrading Master Node Specifications If Master nodes cannot meet service requirements, you can upgrade their specifications.

          Help > MapReduce Service > Function Overview
        • HDFS Enhanced Open Source Features - MapReduce Service

          HDFS Enhanced Open Source Features - MapReduce Service

          If HDFS Load Balance is enabled during file writing, the NameNode selects a DataNode (in the order of local node, local rack, and remote rack). If the I/O load of the selected node is heavy, the NameNode will choose another DataNode with lighter load.

          Help > MapReduce Service > Service Overview > Components > HDFS
        • Common Concepts of Spark Application Development - MapReduce Service

          Common Concepts of Spark Application Development - MapReduce Service

          Figure 2 RDD operation The data and operation model of RDD are quite different from those of Scala. val file = sc.textFile("hdfs://...") val errors = file.filter(_.contains("ERROR")) errors.cache() errors.count() The textFile operator reads log files from the HDFS and returns file

          Help > MapReduce Service > Developer Guide (Normal_Earlier Than 3.x) > Spark Development Guide > Spark Application Development Overview
        • Storm-JDBC Development Guideline - MapReduce Service

          Storm-JDBC Development Guideline - MapReduce Service

          For details about how to use the client on a Master or Core node in the cluster, see Using an MRS Client on Nodes Inside a Cluster. For details about how to install the client outside the MRS cluster, see Using an MRS Client on Nodes Outside a Cluster.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Storm Development Guide (Normal Mode) > More Information
        • Storm-JDBC Development Guideline - MapReduce Service

          Storm-JDBC Development Guideline - MapReduce Service

          For details about how to use the client on a Master or Core node in the cluster, see Using an MRS Client on Nodes Inside a Cluster. For details about how to install the client outside the MRS cluster, see Using an MRS Client on Nodes Outside a Cluster.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Storm Development Guide (Security Mode) > More Information
        • Creating a Cluster - MapReduce Service

          Creating a Cluster - MapReduce Service

          1 to 64 characters, including only letters, digits, underscores (_), and hyphens (-).

          Help > MapReduce Service > API Reference > API V2 > Cluster Management APIs
        • Constraints - MapReduce Service

          Constraints - MapReduce Service

          The capacity (including storage and computing capabilities) of an MRS cluster can be expanded by adding core or task nodes. Password requirement Keep the initial password for logging in to the master node properly because MRS does not save it.

          Help > MapReduce Service > Service Overview
        • ALM-50231 Abnormal Tablets Exist in Doris - MapReduce Service

          ALM-50231 Abnormal Tablets Exist in Doris - MapReduce Service

          Copy and run the command in the DetailCmd column in the command output as follows: show proc xxx; In the command output, check whether the value of LstFailedTime is NULL and whether the value of VersionCount is greater than the specified threshold (200 by default).

          Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Alarm Handling Reference
        • Creating a Cluster and Executing a Job - MapReduce Service

          Creating a Cluster and Executing a Job - MapReduce Service

          Only letters, digits, hyphens (-), and underscores (_) are allowed. Rule names must be unique in a node group. Default value N/A description No String Explanation Description about an auto scaling rule. Constraints N/A Value range It contains a maximum of 1024 characters.

          Help > MapReduce Service > API Reference > API V1.1 > Cluster Management APIs
        • Manually Importing IoTDB Data - MapReduce Service

          Manually Importing IoTDB Data - MapReduce Service

          If nanosecond (ns) time precision is enabled for the IoTDB on the server, the -tp ns parameter needs to be added when the client imports data with the nanosecond timestamp.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using IoTDB > IoTDB O&M Management
        • Adding a Hive Data Source - MapReduce Service

          Adding a Hive Data Source - MapReduce Service

          Default value: 8 8 (The value ranges from 0 to 200 and cannot exceed the maximum number of connections.) hive.metastore.connection.pool.minIdle Minimum number of idle threads in the connection pool.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using HetuEngine > Adding a HetuEngine Data Source
        • Common Parameters - MapReduce Service

          Common Parameters - MapReduce Service

          Use sc.show_profiles() to display the analysis results or display the analysis results before the Driver exits. You can use sc.dump_profiles(path) to dump the results to a disk.

          Help > MapReduce Service > Component Operation Guide (Normal) > Using Spark2x (for MRS 3.x or Later) > Spark O&M Management
        • Using Hive to Load OBS Data and Analyze Enterprise Employee Information - MapReduce Service

          Using Hive to Load OBS Data and Analyze Enterprise Employee Information - MapReduce Service

          Set Agency Name, select Cloud service for Agency Type, and select Elastic Cloud Server (ECS) and Bare Metal Server (BMS) for Cloud Service to authorize ECS or BMS to invoke OBS. Set Validity Period to Unlimited and click OK.

          Help > MapReduce Service > Best Practices > Data Analytics
        • Querying the Metadata of a Cluster Version - MapReduce Service

          Querying the Metadata of a Cluster Version - MapReduce Service

          Constraints N/A Value range The value can contain 1 to 64 characters, including only letters, digits, underscores (_), and hyphens (-).

          Help > MapReduce Service > API Reference > API V1.1 > Version Metadata
        • Storing Cold and Hot Data Separately in Doris - MapReduce Service

          Storing Cold and Hot Data Separately in Doris - MapReduce Service

          Cloud Service: Select Elastic Cloud Server (ECS) and Bare Metal Server (BMS). Validity Period: Select Unlimited. On the displayed page, search for the OBS OperateAccess policy and select it. Click Next, click Show More, select Global services, and click OK.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Doris > Enterprise-Class Enhancements of Doris > Doris Cold and Hot Data Separation
        • Querying a Host List - MapReduce Service

          Querying a Host List - MapReduce Service

          Constraints N/A Value range The value can contain 1 to 64 characters, including only letters, digits, underscores (_), and hyphens (-).

          Help > MapReduce Service > API Reference > API V1.1 > Cluster Management APIs
        • Configuring the FlinkServer Job Restart Policy - MapReduce Service

          Configuring the FlinkServer Job Restart Policy - MapReduce Service

          For details, see Configuring the FlinkServer Job Restart Policy. fixed-delay: You need to configure Retry Times and Retry Interval (s). failure-rate: You need to configure Max Retry Times, Interval (min), and Retry Interval (s). none Click Submit in the upper left corner to submit

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Flink > Managing FlinkServer Jobs
        • Backing Up HDFS Service Data - MapReduce Service

          Backing Up HDFS Service Data - MapReduce Service

          Server Shared Path: indicates the configured shared directory of the NAS server. (The shared path of the server cannot be set to the root directory, and the user group and owner group of the shared path must be nobody:nobody.)

          Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Data Backup and Restoration > Backing Up MRS Cluster Component Data
        • Backing Up Hive Service Data - MapReduce Service

          Backing Up Hive Service Data - MapReduce Service

          Server Shared Path: indicates the configured shared directory of the NAS server. (The shared path of the server cannot be set to the root directory, and the user group and owner group of the shared path must be nobody:nobody.)

          Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Data Backup and Restoration > Backing Up MRS Cluster Component Data
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