cloudera cdh

/spark_dev_jobjava.vm.specification.name = Java Virtual machine Specificationjava.runtime.version = 1.7.0_67- b01java.awt.graphicsenv = Sun.awt.X11GraphicsEnvironmentSPARK_SUBMIT = Trueos.arch = Amd64java.endorsed.dirs =/usr/ Java/jdk1.7.0_67-cloudera/jre/lib/endorsedspark.executor.memory = 24gline.separator = Java.io.tmpdir =/tmpjava.vm.specification.vendor = Oracle Corporationos.name = Linuxspark.driver.memory = 15gspark.master = spark:// 10.130.2.2

Apache Hadoop configuration Kerberos Guide Generally, the security of a Hadoop cluster is guaranteed using kerberos. After Kerberos is enabled, you must perform authentication. After verification, you can use the GRANT/REVOKE statement to control role-based access. This article describes how to configure kerberos in a CDH cluster. 1. KDC installation and configuration script The script install_kerberos.sh can complete all the installation configuratio

3. Install the local CDH mirror siteGo to http://archive-primary.cloudera.com/cdh5/parcels/latest/ Download Cdh-5.3.0-1.cdh5.3.0.p0.30-el6.parcel and Manifest.json two files, to/home/cdh5/parcels/latest under:[Email protected] latest]# pwd/home/cdh5/parcels/latest[[email protected] latest]# lltotal 1533544-rw-r--r--. 1 root root 1570299413 Jan 7 00:57 cdh-5.3.0-

Based on CDH, Impala provides real-time queries for HDFS and hbase. The query statements are similar to hiveIncluding several componentsClients: Provides interactive queries between hue, ODBC clients, JDBC clients, and the impala shell and Impala.Hive MetaStore: stores the metadata of the data to let Impala know the data structure and other information.Cloudera Impala: coordinates the query on each datanode, distributes parallel query tasks, and retur

Come up this morning. The company found that Cloudera manager had an HDFS warning, such as:The solution is: 1, the first to solve the simple problem, check the warning set threshold of how much, so you can quickly locate the problem where, sure enough journalnode sync status hint first eliminate, 2, and then solve the sync status problem, first find the explanation of the prompt , visible on the official web. Then check the configuration parameters th

Cloudera, compilation: importnew-Royce Wong Hadoop starts from here! Join me in learning the basic knowledge of using hadoop. The following describes how to use hadoop to analyze data with hadoop tutorial! This topic describes the most important things that users face when using the hadoop mapreduce (hereinafter referred to as Mr) framework. Mapreduce is composed of client APIs and runtime environment. Client APIS is used to compile Mr programs. The r

Hadoop, then I need another 3 Cloudera Repository, respectively Cloudera releases Repository,cloudera snapshots Repository and Cloudera repositories.Management interface in Nexus: Http://ip:8081/nexus repository Repository, respectively, for the configuration information of the 3 repository.Follow the diagram to confi

1. Error Description:The reason for this error is that I have previously installed the CDH in Cloudera Manager, which adds all the services and, of course, hbase. And then reinstall, the following error occurs:Failed to become active master,org.apache.hadoop.hbase.tableexistsexception:hbase:namespace.According to the above error we can clearly know that, when starting HBase, because the previously installed

[Author]: Kwu (and news Big Data)Basic CDH5.4 Spark1.4.1 SPARKR deployment, combining R with Spark, provides an efficient solution for data analysis, while HDFS in Hadoop provides distributed storage for data analysis. This article describes the steps for an integrated installation:1, the environment of the clustercdh5.4+spark1.4.1Configuring Environment variables#javaexport java_home=/usr/java/jdk1.7.0_67-clouderaexport java_bin= $JAVA _home/binexport classpath=.: $JAVA _home/ Lib/dt.jar: $JAVA

1. Installing the SDK Yum-y Install Unzip Yum-y Install Zip Curl-s "Https://get.sdkman.io" | Bash Execute under new terminal: Source "$HOME/.sdkman/bin/sdkman-init.sh" The check is sufficient to install successfully: (1) SDK version (2) SDK Help Supplemental Removal SDK Tar zcvf ~/sdkman-backup_$ (date +%f-%kh%m). tar.gz-c ~/. Sdkman RM-RF ~/.sdkman 2. Installing Gradle SDK install Gradle3. Download Es-hadoopCd/data/toolsgit clone https://github.com/elastic/elasticsearch-hadoop.git 4. Compil

earlier, we can select different Hue applications based on our actual application scenarios. Through this plug-in configuration, we can start the application and interact with it through Hue, such as Oozie, Pig, Spark, and HBase. If you use a lower version of Hive, such as 0.12, you may encounter problems during verification. You can select a compatible version of Hue Based on the Hive version to install the configuration. Due to this installation and configuration practice, the

the quality flaws of Hadoop products. This fact is evidenced by the ultra-high activity of HDFs, hbase and other communities over the same period. And then the company is more tools, integration, management, not to provide "better Hadoop" but how to better use of "existing" Hadoop. After 2014, with the rise of spark and other OLAP products, it is well-established that the offline scenario of Hadoop's good length has been resolved, hoping to expand the ecosystem to

for Hadoop, Version 5enabled = 1gpgcheck = 1baseurl = ftp://192.168.122.100/pub/cloudera/cdh/5/gpgkey = ftp://192.168.122.100/pub/cloudera/cdh/RPM-GPG-KEY-cloudera[cloudera-gplextras5]# Packages for Cloudera's GPLExtras, Vers

The program that has been developed Hadoop2.2.0 with Maven before. Environment changed to CDH5.2 after the error, found that Maven relies on the library problem. have been using http://mvnrepository.com/to find Maven dependencies before. But such sites can only find generic maven dependencies, not including CDH dependencies. Fortunately Cloudera provides a CDH de

Oozie error when calling Hive to execute HQLJava.lang.IllegalArgumentException:java.net.URISyntaxException:Relative Path in absolute uri:file:./tmp/yarn/ 32f78598-6ef2-444b-b9b2-c4bbfb317038/hive_2016-07-07_00-46-43_542_5546892249492886535-1https://issues.apache.org/jira/browse/ OOZIE-23804.1.0 version Fix modification org.apache.oozie.action.hadoop.JavaActionExecutor location: core\src\main\java\org\apache\oozie\ Action\hadoop\javaactionexecutor1, join this method to add global variables publ

grouping (partition) The Hadoop streaming framework defaults to '/t ' as the key and the remainder as value, using '/t ' as the delimiter,If there is no '/t ' separator, the entire row is key; the key/tvalue pair is also used as the input for reduce in the map.-D stream.map.output.field.separator Specifies the split key separator, which defaults to/t-D stream.num.map.output.key.fields Select key Range-D map.output.key.field.separator Specifies the separator inside the key-D num.key.fields.for.p

without a password. Download binfileCloudera Manager: http://archive-primary.cloudera.com/cm5/installer/5.3.2/cloudera-manager-installer.bin Download the rpm package required by Cloudera ManagerURL: http://archive.cloudera.com/cm5/redhat/6/x86_64/cm/5.3.2/RPMS/x86_64/ Install the rpm filePut the downloaded rpm package in the folder rpm (the folder name is random)$ Cd./rpm (enter the rpm directory)$ Yum

One, for the small summary of CDH:CDH: Is the Cloudera company in the Apache Open source project based on Hadoop, a total of five versionsThe first two are no longer updated, the two are CDH4 (based on the hadoop2.0.0 version evolution),CDH5 (updates are available every once in a while)The difference between CDH and Apache Hadoop:The 1.CDH version is clearer and

1. Stop Monit on all Hadoop servers (we use Monit on line to monitor processes) Login Idc2-admin1 (we use idc2-admin1 as a management machine and Yum Repo server on line)# mkdir/root/cdh530_upgrade_from_500# cd/root/cdh530_upgrade_from_500# pssh-i-H idc2-hnn-rm-hive ' Service Monit stop '# pssh-i-H idc2-hmr.active ' Service Monit stop ' 2. Confirm that the local CDH5.3.0 yum repo server is ready http://idc2-admin1/repo/cdh/5.3.0/http://idc2-admin1/

, this mechanism implements the simple Paxos protocol to ensure the consistency of distributed logs. There are two roles in the design: 1. the node where the JournalNode actually writes logs is responsible for storing logs to the underlying disk, which is equivalent to the acceptor in the paxos protocol. 2. QuorumJournalManager runs in NameNode. It is responsible for sending log write requests to all journalnodes and executing the write Fencing and log synchronization functions, which is equival