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        • Installing a Client (MRS 3.x or Later) - MapReduce Service

          Installing a Client (MRS 3.x or Later) - MapReduce Service

          Run the vi /etc/ntp.conf command to edit the NTP client configuration file, add the IP addresses of the master node in the MRS cluster, and comment out the IP address of other servers. server master1_ip prefer server master2_ip Figure 2 Adding the master node IP addresses Run the

          Help > MapReduce Service > Component Operation Guide (Normal) > Appendix > Using an MRS Client
        • MRS Cluster Node Types - MapReduce Service

          MRS Cluster Node Types - MapReduce Service

          In the Nodes tab of the cluster details page, the nodes in the node group whose Node Type is Task are Task nodes. If only the NodeManager (Yarn) or Supervisor (Storm) role is deployed in a node group in addition to basic mandatory roles, this node group is a Task node group.

          Help > MapReduce Service > User Guide > MRS Cluster Planning > Service Selection
        • Logging In to an MRS Cluster Node - MapReduce Service

          Logging In to an MRS Cluster Node - MapReduce Service

          Logging In to an MRS Cluster Node This section describes how to remotely log in to an ECS in an MRS cluster using the remote login (VNC mode) function provided on the ECS management console or a key or password (SSH mode).

          Help > MapReduce Service > User Guide > MRS Cluster O&M > Logging In to an MRS Cluster
        • 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

          Support for Third-party JAR Packages on x86 and TaiShan Platforms Question How to enable Spark2x to support the third-party JAR packages (for example, custom UDF packages) if these packages have two versions (x86 and TaiShan)?

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

          Support for Third-party JAR Packages on x86 and TaiShan Platforms Question How to enable Spark2x to support the third-party JAR packages (for example, custom UDF packages) if these packages have two versions (x86 and TaiShan)? Answer Use the hybrid solution.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Spark2x Development Guide (Security Mode) > FAQs About Spark Application Development
        • Installing a Client (Versions Earlier Than 3.x) - MapReduce Service

          Installing a Client (Versions Earlier Than 3.x) - MapReduce Service

          Installing a Client (Versions Earlier Than 3.x) Scenario An MRS client is required. The MRS cluster client can be installed on the Master or Core node in the cluster or on a node outside the cluster.

          Help > MapReduce Service > Component Operation Guide (Normal) > Appendix > Using an MRS Client
        • 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

          Support for Third-party JAR Packages on x86 and TaiShan Platforms Question How to enable Spark2x to support the third-party JAR packages (for example, custom UDF packages) if these packages have two versions (x86 and TaiShan)? Answer Use the hybrid solution.

          Help > MapReduce Service > Developer Guide (LTS) > Spark2x Development Guide (Security Mode) > FAQs About Spark Application Development
        • 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

          Support for Third-party JAR Packages on x86 and TaiShan Platforms Question How to enable Spark2x to support the third-party JAR packages (for example, custom UDF packages) if these packages have two versions (x86 and TaiShan)? Answer Use the hybrid solution.

          Help > MapReduce Service > Developer Guide (LTS) > Spark2x Development Guide (Common Mode) > FAQs About Spark Application Development
        • Preparing the ClickHouse Development and Runtime Environment - MapReduce Service

          Preparing the ClickHouse Development and Runtime Environment - MapReduce Service

          Select the platform type based on the type of the node where the client is to be installed (select x86_64 for the x86 architecture and aarch64 for the Arm architecture) and click OK.

          Help > MapReduce Service > Developer Guide (LTS) > ClickHouse Development Guide (Normal Mode) > Preparing a ClickHouse Application Development Environment
        • No Certificate Is Available When PrestoJDBCExample Run on a Node Outside the Cluster - MapReduce Service

          No Certificate Is Available When PrestoJDBCExample Run on a Node Outside the Cluster - MapReduce Service

          the server certificate is not authenticated.

          Help > MapReduce Service > Developer Guide (Normal_Earlier Than 3.x) > Presto Development Guide > FAQs About Presto Application Development
        • Preparing Development and Operating Environment - MapReduce Service

          Preparing Development and Operating Environment - MapReduce Service

          Select the platform type based on the type of the node where the client is to be installed (select x86_64 for the x86 architecture and aarch64 for the Arm architecture) and click OK.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > MapReduce Development Guide (Normal Mode) > Environment Preparation
        • Preparing a ClickHouse Application Development and Runtime Environment - MapReduce Service

          Preparing a ClickHouse Application Development and Runtime Environment - MapReduce Service

          Select the platform type based on the type of the node where the client is to be installed (select x86_64 for the x86 architecture and aarch64 for the Arm architecture) and click OK.

          Help > MapReduce Service > Developer Guide (LTS) > ClickHouse Development Guide (Security Mode) > Preparing a ClickHouse Application Development Environment
        • Preparing the Development and Running Environment - MapReduce Service

          Preparing the Development and Running Environment - MapReduce Service

          TaiShan client: OpenJDK (1.8.0_242 version is supported). NOTE: For security purposes, the server supports only TLS V1.2 and later encryption protocols. IntelliJ IDEA installation and configuration It is the basic configuration for the development environment.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Kudu Development Guide (Normal Mode) > Environment Preparation
        • Preparing the Development and Running Environment - MapReduce Service

          Preparing the Development and Running Environment - MapReduce Service

          TaiShan client: OpenJDK (1.8.0_242 version is supported). NOTE: For security purposes, the server supports only TLS V1.2 and later encryption protocols. IntelliJ IDEA installation and configuration It is the basic configuration for the development environment.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Kudu Development Guide (Security Mode) > Environment Preparation
        • Preparing for Development and Operating Environment - MapReduce Service

          Preparing for Development and Operating Environment - MapReduce Service

          Select the platform type based on the type of the node where the client is to be installed (select x86_64 for the x86 architecture and aarch64 for the Arm architecture) and click OK.

          Help > MapReduce Service > Developer Guide (LTS) > MapReduce Development Guide (Security Mode) > Environment Preparation
        • Selecting an API Type - MapReduce Service

          Selecting an API Type - MapReduce Service

          Selecting an API Type Currently, MRS provides two types (V1.1 and V2) of APIs for cloud services with customized specifications. Only part of V2 APIs is available and mainly used for submitting jobs and SQL statements.

          Help > MapReduce Service > API Reference
        • Querying the Cluster Node List - MapReduce Service

          Querying the Cluster Node List - MapReduce Service

          Default value N/A cluster_id Yes String Explanation Cluster ID 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 V2 > Cluster Management APIs
        • Flume Service Model Configuration - MapReduce Service

          Flume Service Model Configuration - MapReduce Service

          Configuration example (netcat tcp is used as the source, and logger is used as the sink).

          Help > MapReduce Service > Component Operation Guide (Normal) > Using Flume
        • Installing a Client - MapReduce Service

          Installing a Client - MapReduce Service

          Table 1 Reference list CPU Architecture OS Supported Version x86 computing Euler EulerOS 2.5 SUSE SUSE Linux Enterprise Server 12 SP4 (SUSE 12.4) Red Hat Red Hat-7.5-x86_64 (Red Hat 7.5) CentOS CentOS 7.6 Kunpeng computing (Arm) Euler EulerOS 2.8 CentOS CentOS 7.6 In addition, sufficient

          Help > MapReduce Service > Component Operation Guide (LTS) > Appendix > Using an MRS Client
        • Flume Service Model Configuration - MapReduce Service

          Flume Service Model Configuration - MapReduce Service

          The rules for matching ports and security protocols must be as follows: port 21007 matches the security mode (SASL_PLAINTEXT), and port 9092 matches the common mode (PLAINTEXT). monTime 0 (Disabled) Specifies the thread monitoring threshold.

          Help > MapReduce Service > Component Operation Guide (LTS) > Using Flume
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