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        • Spark REST APIs - MapReduce Service

          Spark REST APIs - MapReduce Service

          events/sec), average scheduling delay (unit: ms), average execution time (unit: ms), and average value of the total delay (unit: ms) of the current Streaming application.

          Help > MapReduce Service > Developer Guide (Normal_3.x) > Spark2x Development Guide (Security Mode) > FAQs About Spark Application Development > Common Spark APIs
        • Spark REST APIs - MapReduce Service

          Spark REST APIs - MapReduce Service

          in events per second), average scheduling delay (measured in milliseconds), average execution time (measured in milliseconds), and average total delay (measured in milliseconds) of the current Streaming application.

          Help > MapReduce Service > Developer Guide (LTS) > Spark2x Development Guide (Common Mode) > FAQs About Spark Application Development > Common Spark APIs
        • How Do I Configure Other Data Sources on Presto? - MapReduce Service

          How Do I Configure Other Data Sources on Presto? - MapReduce Service

          Upload the configuration file to the /opt/Bigdata/MRS_Current/1_14_Coordinator/etc/catalog/ directory on the Master node (where the Coordinator instance resides) and the /opt/Bigdata/MRS_Current/1_14_Worker/etc/catalog/ directory on the Core node (depending on the actual directory

          Help > MapReduce Service > FAQs > Component Configurations
        • Accessing FusionInsight Manager - MapReduce Service

          Accessing FusionInsight Manager - MapReduce Service

          For example, a standard image Windows Server 2012 R2 Standard 64bit(40GB). For details about other configuration parameters, see Purchasing an ECS with Customized Configurations.

          Help > MapReduce Service > Component Operation Guide (LTS) > Appendix
        • An Error Is Reported When Database Data Is Migrated Using Sqoop - MapReduce Service

          An Error Is Reported When Database Data Is Migrated Using Sqoop - MapReduce Service

          If the data source is GaussDB(DWS), add --driver com.xxx.gauss200.jdbc.Driver to the CLI. Figure 3 Configuration of the --driver parameter when the data source is GaussDB(DWS) For other databases, configure the --driver parameter based on site requirements.

          Help > MapReduce Service > Troubleshooting > Using Sqoop
        • HBase Phoenix APIs - MapReduce Service

          HBase Phoenix APIs - MapReduce Service

          For details about operations on clusters with Kerberos authentication disabled, see Phoenix Command Line: Download the Phoenix binary package from the official website (https://phoenix.apache.org/download.html), and upload it to any Master node in the cluster.

          Help > MapReduce Service > Developer Guide (Normal_Earlier Than 3.x) > HBase Development Guide > FAQs About HBase Application Development > HBase APIs
        • "Failed to execute session hooks: over max connections" Reported by Beeline - MapReduce Service

          "Failed to execute session hooks: over max connections" Reported by Beeline - MapReduce Service

          (SessionManager.java:314) ... 12 more Cause Analysis Heavy service traffic causes the number of connections to one HiveServer node to exceed 200, and the maximum number of connections to HiveServer needs to be increased.

          Help > MapReduce Service > Troubleshooting > Using Hive
        • Connecting an MRS Cluster to SNMP to Report Alarms - MapReduce Service

          Connecting an MRS Cluster to SNMP to Report Alarms - MapReduce Service

          Prerequisites The ECS corresponding to the server must be in the same VPC as the MRS cluster's Master node, and the Master node must be able to access the server's IP address and specified port.

          Help > MapReduce Service > User Guide > MRS Cluster O&M > Viewing and Configuring MRS Alarm Events
        • Quickly Using HBase for Offline Data Analysis - MapReduce Service

          Quickly Using HBase for Offline Data Analysis - MapReduce Service

          Use the client on a Master node.

          Help > MapReduce Service > Component Operation Guide (Normal) > Using HBase
        • MRS 2.1.0.9 Patch Description - MapReduce Service

          MRS 2.1.0.9 Patch Description - MapReduce Service

          For how to fully update the original client of the active and standby master nodes, see Updating Client Configurations (Version 2.x or Earlier). For details about how to fully install the clients you set up, see Installing a Client (MRS 2.x or Earlier).

          Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Patch Description
        • MRS 2.1.0.10 Patch Description - MapReduce Service

          MRS 2.1.0.10 Patch Description - MapReduce Service

          For how to fully update the original client of the active and standby master nodes, see Updating Client Configurations (Version 2.x or Earlier). For details about how to fully install the clients you set up, see Installing a Client (MRS 2.x or Earlier).

          Help > MapReduce Service > User Guide > MRS Cluster O&M > MRS Cluster Patch Description
        • Spark2x Basic Principles - MapReduce Service

          Spark2x Basic Principles - MapReduce Service

          Figure 11 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 files

          Help > MapReduce Service > Service Overview > Components > Spark2x
        • Spark REST APIs - MapReduce Service

          Spark REST APIs - MapReduce Service

          in events per second), average scheduling delay (measured in milliseconds), average execution time (measured in milliseconds), and average total delay (measured in milliseconds) of the current Streaming application.

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

          Bills - MapReduce Service

          were as follows: master_node_default_group node group (Master node group for short) Number of nodes: 3 Node specifications: c6.4xlarge.4 (16 vCPUs | 64 GB) System disk: ultra-high I/O and 100 GB Data disk: ultra-high I/O and 200 GB core_node_analysis_group node group (Core node group

          Help > MapReduce Service > Billing
        • Connecting an MRS Cluster to SNMP to Report Alarms - MapReduce Service

          Connecting an MRS Cluster to SNMP to Report Alarms - MapReduce Service

          Prerequisites The ECS corresponding to the server must be in the same VPC as the MRS cluster's Master node, and the Master node must be able to access the server's IP address and specified port.

          Help > MapReduce Service > User Guide > MRS Cluster O&M > Viewing and Configuring MRS Alarm Events
        • Configuring MRS Cloud Service Authorization - MapReduce Service

          Configuring MRS Cloud Service Authorization - MapReduce Service

          After permission assignment, MRS creates an agency named mrs_admin_agency in Identity and Access Management (IAM). After the agency is created, do not modify or delete it.

          Help > MapReduce Service > User Guide > Preparations
        • Configuring an Auto Scaling Rule - MapReduce Service

          Configuring an Auto Scaling Rule - 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.

          Help > MapReduce Service > API Reference > API V1.1 > Auto Scaling APIs
        • Accessing MRS FusionInsight Manager - MapReduce Service

          Accessing MRS FusionInsight Manager - MapReduce Service

          For example, a standard image Windows Server 2012 R2 Standard 64bit(40GB). For details about other parameters, see Purchasing an ECS .

          Help > MapReduce Service > User Guide > Managing Clusters
        • Spark Basic Principles - MapReduce Service

          Spark Basic Principles - MapReduce Service

          Figure 11 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 files

          Help > MapReduce Service > Service Overview > Components > Spark
        • Querying a Cluster List - MapReduce Service

          Querying a Cluster List - MapReduce Service

          master node specifications are being scaled up. scaled_up_first: The standby master node specifications have been scaled up. scaled-up-success: The master node specifications have been scaled up.

          Help > MapReduce Service > API Reference > API V1.1 > Cluster Management APIs
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