cloudera spark

Basic Environment: Linux centos7.21. Cloudera Manager:Http://archive-primary.cloudera.com/cm5/cm/5/cloudera-manager-centos7-cm5.14.0_x86_64.tar.gz2, cdh5.14.0:Http://archive.cloudera.com/cdh5/parcels/5.14.0/CDH-5.14.0-1.cdh5.14.0.p0.24-el7.parcelHttp://archive.cloudera.com/cdh5/parcels/5.14.0/CDH-5.14.0-1.cdh5.14.0.p0.24-el7.parcel.sha1Http://archive.cloudera.com/cdh5/parcels/5.14.0/manifest.json3. JDK:Http

During the installation of CDH using Cloudera Manager, it was discovered that the installation process card was assigned parcel to a slave machine.Check agent log found the following error:... Mainthread Agent ERROR Failed to handle Heartbeat Response ...The error alarm said "processing heartbeat response failure", see the alarm message first thought is the network problem?The network connection between the machines was checked and no proble

This document describes how to manually install the cloudera hive cdh4.2.0 cluster. For environment setup and hadoop and hbase installation processes, see the previous article.Install hive Hive is installed on mongotop1. Note that hive saves metadata using the Derby database by default. Replace it with PostgreSQL here. The following describes how to install PostgreSQL, copy the Postgres jdbc jar file to the hive lib directory.Upload files Uploadhive-0

This article describes Cloudera Manager configuration Hive Metastore1, environmental information2, configuring HA for Namenode 1, environmental informationEnvironment information for deploying cdh5.x articles based on Cloudera MANAGER5 installation. 2, configuring HA for Namenode2.1. Enter the HDFs interface and click "Enable High Availability" 2.2, enter the Nameservice name, set here as: Nameservice1,

1, first download the image to local. https://hub.docker.com/r/gettyimages/spark/~$ Docker Pull Gettyimages/spark2, download from https://github.com/gettyimages/docker-spark/blob/master/docker-compose.yml to support the spark cluster DOCKER-COMPOSE.YML fileStart it$ docker-compose Up$ docker-compose UpCreating spark_master_1Creating spark_worker_1Attaching to Sp

Step 1: Test spark through spark Shell Step 1:Start the spark cluster. This is very detailed in the third part. After the spark cluster is started, webui is as follows: Step 2: Start spark shell: In this case, you can view the shell in the following Web console: S

How to view the JVM configuration and generational memory usage of a running spark process is a common monitoring tool for online running jobs:1, through the PS command query PIDPs-ef | grep 5661You can position the PID according to the special characters in the command2. Query the JVM parameter settings of the process using the Jinfo commandJinfo 105007Detailed JVM configuration information can be obtained.Attaching to process ID 105007, please wait

error messages back there .Spark start error 1After careful review of the error message found that the original yarn configuration is not enough memory, spark boot requires 1024+384 MB of memory, but my yarn configuration only a few megabytes, not enough to meet the spark boot requirements, so throw an exception, the key error message as shown:WorkaroundLog in t

The following pit Daddy deployment requirements completed within a week, I was drunk.jdk:1.8Cloudera Manager 5.6.0.1HBase Version 1.0.0Hadoop Version 2.6.0, revision=c282dc6c30e7d5d27410cabbb328d60fc24266d9ZookeeperHive,Hue,Impala 2.1.0OozieSpark 1.6.1Sqoop 2ZookeeperScalar 2.10RESTful API---------------------------------------Official documentsHttp://www.cloudera.com/downloads/manager/5-6-0.htmlUnofficial documentsHttp://www.it165.net/database/html/201604/15043.htmlHttp://wenku.baidu.com/link?u

Setup Alert Email Settings:650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M02/54/11/wKiom1R25hvBMQhGAAdv63Ms4VQ295.jpg "style=" float: none; "title=" snap6.jpg "alt=" Wkiom1r25hvbmqhgaadv63ms4vq295.jpg "/>650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M00/54/10/wKioL1R25qDQt7WHAAMsfmMcfIo408.jpg "style=" float: none; "title=" snap8.jpg "alt=" Wkiol1r25qdqt7whaamsfmmcfio408.jpg "/>Disable sending Usage and Diagnostic Data to Cloudera650) this.width=650; "src=" http://s3.51cto.com/

segment I/O operations, rather than an audit trail of a database. Therefore, it is possible to understand the activity only by providing different levels of monitoring to be able to audit activities that enter directly through the lower points in the stack.Hadoop Activity MonitoringThe events that can be monitored include:• Session and user information.HDFs Operations – commands (cat, tail, chmod, chown, expunge, and so on).MapReduce Jobs-Jobs, actions, permissions.• Exceptions, such as authori

Deployment environment os:ubuntu12.04 Server Hadoop:cdh3u6 Machine list: Namenode 192.168.71.46;datanode 192.168.71.202,192.168.71.203,192.168.71.204 Installing Hadoop Add a software source /etc/apt/sources.list.d/cloudera-3u6.list Insert Deb Http://192.168.52.100/hadoop MAVERICK-CDH3 Contrib DEB-SRC Http://192.168.52.100/hadoop MAVERICK-CDH3 Contrib Add GPG Key, execute Curl-s Http://archive.cloudera.com/debian/archive.key | sudo apt-key a

Spark Communication Module 1, Spark Cluster Manager can have local, standalone, mesos, yarn and other deployment methods, in order to Centralized communication mode 1, RPC remote produce call Spark Communication mechanism: The advantages and characteristics of Akka are as follows: 1, parallel and distributed: Akka in design with asynchronous communication and dis