cloudera cdh

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How Hadoop runs Mahout problem resolution

.   Http://qnalist.com/questions/4884816/how-to-execute-recommenderjob-without-preference-valueHere's someone who solves this: the segmentation of the field in the data file turns out to be a space and a comma. The data file I used was a comma. Or to report the mistake. Workaround: Apache HadoopSetting method Reference: hadoop2.2+mahout0.9-Push Cool http://www.tuicool.com/articles/ryU7FfCdhVersion: 5.1.3 experience feels that the same technology often differs when used with Hadoop in

Several operations for HBase data import

/liguodong/hfile_tmp-rw-r--r--3Root supergroup0 -- -- . One: Wu/liguodong/hfile_tmp/_successdrwxr-xr-x-root supergroup0 -- -- . One: Wu/liguodong/hfile_tmp/cf-rw-r--r--3Root supergroup1196 -- -- . One: Wu/liguodong/hfile_tmp/cf/e20e3fe899de47a88ca476e05da2c9d7hbase (Main):xx8:0> Scan' hbase-tbl-002 'ROW COLUMN+CELL0Row (s)inch 0.0310Seconds importing data into a table hbase-tbl-002[Root@hadoop1Datamove]# Hadoop Jar/opt/cloudera/

Hadoop and HDFS data compression format

1. General criteria for Cloudera data compressionGeneral guidelines Whether data is compressed and which compression format is used has a significant impact on performance. The most important two aspects to consider in data compression are the MapReduce jobs and the data stored in HBase. In most cases, each principle is similar. You need to balance the power required to compress and decompress data, the disk IO required to read and

Hbase backup and fault recovery methods

This article will briefly introduce the available data backup mechanism of Apache hbase and the fault recovery/disaster recovery mechanism of massive data. As hbase is widely used in important commercial systems, many enterprises need to establish robust backup and fault recovery (BDR) for their hbase clusters) mechanism to ensure their enterprise (data) assets. Hbase and Apache hadoop provide many built-in mechanisms to quickly and easily back up and restore Pb-level data. In this article, you

Hadoop O & M

/12/7-tips-for-improving-mapreduce-performance/ Mapreduce: seven suggestions for improving mapreduce Performance Hadoop learning Summary 5: hadoop running traces 10 best practices of hadoop Administrators Overview of hadoop platform optimization (I) Hadoop Maintenance Management Restoration of namenode in hadoop cluster management Add node datanode in hadoop cluster management Delete nodes in hadoop cluster management Hadoop cluster management-hadoop recycle bin trash 2012 Chi

CBT nuggets hadoop tutorial (I have translated Chinese)

tag: CTI log of the http OS Io file on time C Baidu Network Disk: http://pan.baidu.com/s/1hqrER6sI mentioned the CBT nuggets hadoop video tutorial last time. After half a month, I took the time to upload the video to Baidu online storage. There were 20 courses in total, from concept introduction to installation to surrounding projects, it can basically be said that it is a rare thing:01 hadoop series introduction.mp402 hadoop technology stack.mp403 hadoop Distributed File System hdfs.mp404 intro

Installation of hadoop-2.0.0-cdh4.6.0

/authorized_keys [hadoop]5) use the root user to modify the/etc/ssh/sshd_config file: [root]Rsaauthentication yes # enable RSA AuthenticationPubkeyauthentication yes # enable public key/private key pair AuthenticationAuthorizedkeysfile. Ssh/authorized_keys # public key file path (same as the file generated above)6) Restart sshd: Service sshd restart [root]7) Verify if hadoop can log on without a password. Use the hadoop User: SSH localhost [hadoop, repeat 1-7 on the slave machine]8) SCP the Mast

Configure SOLR in hue

1. Deploying SOLR with hue 650) This. width = 650; "src =" http://s3.51cto.com/wyfs02/M01/4D/ AE /wKioL1RXJWrgBrZVAAOXo0U1cyw151.jpg "Title =" snap10.jpg "alt =" wkiol1rxjwrgbrzvaaoxo0u1cyw151.jpg "/> Restart hue Service 2. delete old example indexes from hue650) This. width = 650; "src =" http://s3.51cto.com/wyfs02/M01/4D/ AE /wKiom1RXIzDRqFMgAAIugPtVI0k141.jpg "Title =" snap7.jpg "alt =" wkiom1rxizdr1_mgaaiugptvi0k141.jpg "/> 3. On SOLR Server:CD/opt/clou

NN,DN process for upgrading Hadoop's HDFs, log output as JSON grid

Original link: http://blog.itpub.net/30089851/viewspace-2136429/1. Log in to the NN machine, go to the Namenode Configuration folder of the latest serial number, view the log4j configuration of the current NN[Email protected] ~]# cd/var/run/cloudera-scm-agent/process/[Email protected] process]# LS-LRT.....................Drwxr-x--x 3 HDFs HDFs 380 Mar 20:40 372-hdfs-failovercontrollerDrwxr-x--x 3 HDFs HDFs 20:40 370-hdfs-namenodeDrwxr-x--x 3 HDFs HDFs

Spark stepped on the pit--java.lang.abstractmethoderror

This error is always reported when the newly developed structured streaming is deployed to the cluster today:Slf4j:class path contains multiple slf4j bindings. Slf4j:found Binding in [jar:file:/data4/yarn/nm/filecache/25187/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/ Staticloggerbinder.class]slf4j:found Binding in [jar:file:/opt/cloudera/parcels/cdh-5.7.2-1.cdh5.7.2.p0.18/jars/ Slf4j-log4j12-1.7.5.jar!/org/sl

Python executes MapReduce

+00001+99999999999 ... 0043011990999991950051512004...9999999n9+00221+99999999999 ... 0043011990999991950051518004...9999999n9-00111+99999999999 ... 0043012650999991949032412004...0500001n9+01111+99999999999 ... 0043012650999991949032418004...0500001n9+01121+99999999999...0043012650999991949032418004...0500001n9+01221+ 99999999999 ...Second file: map.py#!usr/bin/pythonimport reimport sysfor Line in Sys.stdin: Val=line.strip () (year,temp) = (val[15:19],val[ 40:45]) print "%s\t%s"% (year

How to conduct Tps-ds test

benchmark test, refer to http://www.tpc.org/tpcds/. 3 tpc-ds test The main steps of the Tpc-ds test are four parts for environment preparation, SQL statement compatibility testing, and statement modification, TPC-DS testing, and test results, where the SQL statement compatibility test will be performed under the condition that the 1GB data volume is set up with a virtual machine cluster. The Tpc-ds test is performed under 500GB data volume. 3.1 Environment Preparation 3.1.1 Local confi

About Phoenix Introduction and installation deployment use

This article is based on centos6.x + cdh5.x What is Phoenix Phoenix's team summed up Phoenix in a nutshell: "We put the SQL back in NoSQL" means: We put SQL into NoSQL again. The nosql here refers to HBase, which means that you can query hbase with SQL statements, and you might say, "Hive and Impala are OK." ”。 But Hive and Impala can also query text files, and Phoenix's feature is that it can only find hbase, and no other type is supported. But also because of this exclusive attitude, Phoenix i

How to use Sqoop to import the hive data into the exported data to MySQL

Operating Environment CentOS 5.6 Hadoop HiveSqoop is a tool developed by the Clouder company that enables Hadoop technology to import and export data between relational databases and hdfs,hive.Shanghai still school Hadoop Big Data Training Group original, there are hadoop big Data technology related articles, please pay more attention!Problems you may encounter during use: Sqoop relies on zookeeper, so zookeeper_home must be configured in the environment variable. SQOOP-1.2.0-CDH3B4

MySQL Import into HDFs FAQ

MySQL Import into HDFs command:Sqoop import--connect Jdbc:mysql://192.168.0.161:3306/angel--username anqi-password anqi--table test2-- Fields-terminated-by ' t '-M 1FAQ 1:Warning:/opt/cloudera/parcels/cdh-5.12.0-1.cdh5.12.0.p0.29/bin/. /lib/sqoop/. /accumulo does not exist! Accumulo imports would fail.Please set $ACCUMULO _home to the root of your Accumulo installation.Solve:Mkdir/var/lib/accumuloExport Acc

Configuring Sparksql in cdh5.3

Label:In cdh5.3, Spark, which already contains the sparksql, needs to be configured in the following steps to use the feature1) Ensure that the CLI and JDBC of hive are working properly2) Copy the Hive-site.xml to the spark_home/conf directory3) Add Hive's class library to SPARK classpath: Edit spark_home/bin/compute-classpath.sh fileAdd Classpath= "$CLASSPATH:/opt/cloudera/parcels/cdh-5.3.0-1.cdh5.3.0.p0.3

Impala ODBC Installation Notes

Impala online documentation describes Impala ODBC interface installation and configuration http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH5/latest/Impala/ Installing-and-using-impala/ciiu_impala_odbc.html Impala ODBC Driver: http://www.cloudera.com/content/support/en/downloads/connectors.html This paper explains the installation and use of Impala ODBC in centos-6.5-x86_64 environment. F

The environment dependencies required to run the jar package

```Hadoop_home= "/opt/cloudera/parcels/cdh-5.6.0-1.cdh5.6.0.p0.45/bin/. /lib/hadoop "For f in $hadoop _home/hadoop-*.jar; DoHadoop_classpath=${hadoop_classpath}: $fDoneFor f in $hadoop _home/lib/*.jar; DoHadoop_classpath=${hadoop_classpath}: $fDoneHadoopvfs_home= "/home/work/tools/java/hadoop-client/hadoop-vfs"For f in $hadoopvfs _home/lib/*.jar; DoHadoop_classpath=${hadoop_classpath}: $fDoneExport Hadoop_c

Notes on flume-ng (not updated on a regular basis)

, for example, HDFS, the performance does not increase significantly, because sinkgroup is a single thread, its process method will call each sink in turn to take data in the channel, and ensure that the processing is correct, so that the operation is sequential, however, if it is sent to the next level of flume agent, the take operation is sequential, but the write operation of the next level of agent is parallel, so it must be fast; 3. In fact, using loadbalance can play the role of failover

When hadoop restarts Namenode, appTokens reports FileNotFoundException

reproduce this problem in the test environment and run a sleep job cd /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce;hadoop jar hadoop-mapreduce-client-*-tests.jar sleep -Dmapred.job.queue.name=sleep -m5 -r5 -mt 60000 -rt 30000 -recordt 1000 After you restart nodemanage, an error is reported.Analyze logs However, where can I find the AM log not found? We have configured "log aggregation" (yarn. log-aggrega

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