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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 log in to a node in an MRS cluster and manage or maintain the cluster. You can log in to a cluster node using VNC provided on the Elastic Cloud Server (ECS) console. For more information about ECS, see What Is ECS?

            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 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 (LTS) > MapReduce Development Guide (Normal 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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