cloudera cdh

(hcd, indexColumnQualifier, ValueType.String, 10); htd.addFamily(hcd); htd.addIndex(iSpec); admin.createTable(htd); As expected, data tables and index tables should appear at the backend. when data is inserted into the data table, reverse indexes will automatically appear in the index table according to the index definition. But there is no such phenomenon, why?Version compatibility The reason is that hindex is incompatible with the hbase version on site. Hindex is developed based on the hbase-

process method will call each sink to take data in the channel, and ensure that the processing is correct, so that it is sequential operation, but if it is sent to the next level of the Flume agent is not the same, take operation is sequential, but the next level of agent write operation is parallel, so must be fast;3, in fact, with loadbalance in a certain sense can play the role of failover, the production of a large number of environmental recommendations loadbalance;V. About monitoring moni

Logging Cloudera expansion Disk1 ,4 hosts, one 2TB HDD per host2 , first, simply explain the steps A , Partition, Mount (Mount directory (name, path) to be consistent) B , set up the corresponding folder within the mounted partition, and authorizeC , in the CDH hdfs Configuration Interface, configure the new HDFs directory, and then deploy the client configuration, rolling restart3 , operating Proc

1.parcel Hash Validation Error:Cloudera downloaded from the CDH-5.1.0-1.CDH5.1.0.P0.53-EL6.PARCEL.SHA1 with VI open, the following path is deleted, such as the original content of 67fc4c86b260eeba15c339f1ec6be3b59b4ebe30 ./cdh5/parcels/5.1.0.53/cdh-5.1.0-1.cdh5.1.0.p0.53-el6.parcel, modified to 67fc4c86b260eeba15c339f1ec6be3b59b4ebe302.cloudera-scm-server dead bu

platform. Some Hadoop tools can also run MapReduce tasks directly without programming. Xplenty is a Hadoop-based data integration service and does not require any programming or deployment.Although Hive provides a command-line interface, MapReduce does not have an interactive mode. Projects such as Impala,presto and Tez are trying to provide a fully interactive query pattern for Hadoop.In terms of installation and maintenance, Spark is not tied to Hadoop, although both spark and Hadoop MapReduc

1. install CDH4 on the official website 1. install CDH4On the official websiteStep 1a: Optionally Add a Repository KeyRpm -- import http://archive.cloudera.com/cdh4/redhat/5/x86_64/cdh/RPM-GPG-KEY-clouderaStep 2: Install CDH4 with MRv1Yum-y installhadoop-0.20-mapreduce-jobtrackerStep 3: Install CDH4 with YARNYum-y install hadoop-yarn-resourcemanagerYum-y install hadoop-hdfs-namenodeYum-y install hadoop-hdfs-secondarynamenodeYum-y install hadoop-yarn-n

Although I have installed a Cloudera CDH cluster (see http://www.cnblogs.com/pojishou/p/6267616.html for a tutorial), I ate too much memory and the given component version is not optional. If only to study the technology, and is a single machine, the memory is small, or it is recommended to install Apache native cluster to play, production is naturally cloudera c

http://blog.csdn.net/wulantian/article/details/42706777CDH5. x Full Uninstall Step # by coco# 2015-01-141. Close all services in the cluster.This can be done by Clouder Manger home page to close the cluster.2. Uninstall [[email protected] ~]#/usr/share/cmf/uninstall-cloudera-manager.sh Note: If uninstall-cloudera-manager.sh is not installed in the cluster, uninstall it using the following command: a, sto

Statement This article is based on CentOS 6.x + CDH 5.x HTTPFS, what's the use of HTTPFS to do these two things? With Httpfs you can manage files on HDFs in your browser HTTPFS also provides a set of restful APIs that can be used to manage HDFs It's a very simple thing, but it's very practical. Install HTTPFS in the cluster to find a machine that can access HDFs installation Httpfs$ sudo yum install Hadoop-httpfsConfigu

files required for the cluster, including the Core-site.xml,hdfs-site.xml and Mapred-site.xml of Hadoop6. Master some basic UDF functions of pig? Extracthour, extracting hours from each row of data? Ngramgenerator, generating the words of n-garms? Nonurldetector, remove an empty column, or the value is the URL of the data? Scoregenerator, calculate N-garm's score? ToLower, turn lowercase? Tutorialutil, the split query string consists of a wordsThe above UDF is some of the more typical examples,

the Internet, you can manually change the time of multiple servers to the same one;The second method is used to set the synchronization time using the "date-s" command: 11. Start the hbase Cluster Before starting the Hbase cluster, make sure that both the hdfs cluster and the zookeeper cluster have been started successfully.Bin/start-hbase.shThe status is as follows: 12. Run the jps command to view the running processJps The red box contains two hbase processes on the master node, and only t

containers. This timeout time can be passed through the top-level elementAnd element-level elementsConfigure the time-out time for all queues and a queue respectively. The ratio mentioned above can be(Configure all queues) and(Configure a queue). The default value is 0.5. Hadoop2.3-HA high-availability cluster environment construction Hadoop project-Cloudera 5.10.1 (CDH) installation and deployment based o

distributed cluster environment/ For the download method, see ------------------------------------------ Split line ------------------------------------------ Hadoop2.3-HA high availability cluster environment build https://www.bkjia.com/Linux/2017-03/142155.htmHadoop project-Cloudera 5.10.1 (CDH) installation and deployment https://www.bkjia.com/Linux/2017-04/143095.htm Based on CentOS7Hadoop2.7.2 cluster

cdh user, refer to the last step. 5. Copy the decoder and native Library to the hadoop cluster. CpBuild/hadoop-lzo-0.4.10.jar/usr/local/cdh3u0/hadoop-0.20.2-CDH3B4/lib/ Tar-cv-c build/native. | tar-xBvf--C/usr/local/cdh3u0/hadoop-0.20.2-CDH3B4/lib/native If there is a document on the Internet, you can use cp directly. Cd kevinweil-hadoop-lzo-2ad6654/build/native/Linux-amd64-64/lib Cp * $ HADOOP_HOME/lib/native/Linux-amd64-64 Cp * $ HBASE_HOM

String,App_pkg_name String,app_channel_id String,USER_ID String,Language_code String,Upload_unix_time String,Os_ver_code String,Sdk_ver_code String,Is_btb_flag String,Back_cnt bigint,install_id string)Partitioned by (Src_file_day string)Clustered by (device_id) to buckets;---Add Jar/opt/cloudera/parcels/cdh/lib/hive/lib/hive-contrib.jar;Set Mapreduce.job.name=kesheng_sdk_device_${extract_date};Set hive.enf

SqoopRelational DB and Hive/hdfs/hbase import the exported MapReduce framework.Http://archive.cloudera.com/cdh5/cdh/5/sqoop-1.4.4-cdh5.1.0/SqoopUserGuide.htmlEtl:extraction-transformation-loading abbreviations, data extraction, transformations (business processing), and loading.File data Source: Hive load CommandRelational DB data Source: Sqoop ExtractionSqoop Import data to hdfs/hive/hbase--> Business processing--->sqoop export data to a relational d

Background: Some of the business needs of the company are stored on hbase, and there are always business people looking for me for all kinds of data, so I want to load it directly into the RDD with Spark (shell) for calculationSummary:1. Related environment2. Code examplesContent1. Related environmentSpark version: 2.0.0Hadoop version: 2.4.0HBase version: 0.98.6Note: Use CDH5 to build a clusterWrite a commit scriptExport spark2_home=/var/lib/hadoop-hdfs/spark-2.0.0-bin-hadoop2.4Export Hbase_lib_

management solution cluster account managementOriginally we used a single account as a Cluster Administrator, and this account is a unified online login account, there is a great security risk. We need to use a special account to manage the cluster. The question here is, how many operations accounts do we need?A simple way to do this is to use a special operations account (such as Hadoop), CDH and Apache are recommended to split accounts by service t

constant number of Reducers:set mapreduce.job.reduces=starting Job= job_1451024710809_0005, Tracking URL = http://node1.clouderachina.com:8088/proxy/application_1451024710809_0005/Kill Command =/opt/cloudera/parcels/cdh-5.4.7-1. Cdh5.4.7. P0.3/lib/hadoop/bin/hadoop Job-KillJob_1451024710809_0005hadoop Job Information forstage-1: Number of Mappers:2; Number of reducers:1 -- A- - at:Wuyi:Geneva,904stage-1Ma

This article is based on Hadoop yarn and Impala under the CDH releaseIn earlier versions of Impala, in order to use Impala, we typically started the Impala-server, Impala-state-store, and Impala-catalog services in a client/server structure on each cluster node, And the allocation of memory and CPU cannot be dynamically adjusted during the boot process. After CDH5, Impala began to support Impala-on-yarn mode, through an intermediate coordination yarn