sqoop hadoop

( Span class= "string" style= "Color:blue" > "hbase.columns.mapping" =": Key,cf:genera_type,cf:install_type,cf:label,cf:meid,cf:model,cf:pkg_name,cf:specific_type " ) tblproperties ("hbase.table.name" = "Tb_yl_device_app_info2"); 3. Create a hive tableSQL code CREATE TABLE hive_device_app_real (row_key string,genera_type string,install_type String,label String,meid String,model string,pkg_name String,specific_type string) 4. External table data import into hive real

-hcatalog does not exist! Hcatalog jobs would fail. Please set $HCAT _home to the root of your hcatalog installation. Warning:/usr/lib/sqoop/. /accumulo does not exist! Accumulo imports would fail. Please set $ACCUMULO _home to the root of your accumulo installation.14/12/01 17:36:25 INFO sqoop. Sqoop:running Sqoop version:1.4.4-cdh5.0.114/12/01 17:36:25 WARN too

First explain the configured environmentSystem: Ubuntu14.0.4Ide:eclipse 4.4.1Hadoop:hadoop 2.2.0For older versions of Hadoop, you can directly replicate the Hadoop installation directory/contrib/eclipse-plugin/hadoop-0.20.203.0-eclipse-plugin.jar to the Eclipse installation directory/plugins/ (and not personally verified). For HADOOP2, you need to build the jar f

Chapter 1 Meet HadoopData is large, the transfer speed is not improved much. it's a long time to read all data from one single disk-writing is even more slow. the obvious way to reduce the time is read from multiple disk once.The first problem to solve is hardware failure. The second problem is that most analysis task need to be able to combine the data in different hardware. Chapter 3 The Hadoop Distributed FilesystemFilesystem that manage storage h

-cdh5.0.1 Supported job types: [EXPORT, IMPORT] Connection form 1: I will not post a long output later. If so, I will continue to do so. Prepare the data mysql Data Table prepare to create a table "employee" in mysql CREATE TABLE `employee` ( `id` int(11) NOT NULL, `name` varchar(20) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; Hadoop files are ready to create data files in

hbase-0.90.6+84.29 Hbase-0.92.1+37 Apache Hive Sql-like Language and metadata repository hive-0.7.1+42.43 hive-0.8.1+59 Apache Mahout Library of machine learning algorithms for Hadoop mahout-0.5+9.5 Mahout-0.6+15 Apache Oozie Workflow engine to coordinate Hadoop activities oozie-2.3.2+27.19 oozie-3.1.3+153 Apache Pi

Statement:select T.* FROM ' employee ' as-t LIMIT 114/12/05 08:49:36 INFO orm. Compilationmanager:hadoop_mapred_home Is/usr/lib/hadoop-mapreducenote:/tmp/sqoop-wlsuser/compile/ D16eb4166baf6a1e885d7df0e2638685/employee.java uses or overrides a deprecated API. Note:recompile with-xlint:deprecation for details.14/12/05 08:49:39 INFO ORM. compilationmanager:writing jar File:/tmp/

Hadoop In The Big Data era (1): hadoop Installation If you want to have a better understanding of hadoop, you must first understand how to start or stop the hadoop script. After all,Hadoop is a distributed storage and computing framework.But how to start and manage t

Objective:use Sqoop to import data from Oracle into HBase and automatically generate composite row keys ! Environment:Hadoop2.2.0hbase0.96sqoop-1.4.4.bin__hadoop-2.0.4-alpha.tar.gzoracle11gjdk1.7ubuntu14 Server here about the environment Spit groove Sentence: The latest version of the Sqoop1.99.3 function is too weak, only support import data to HDFs, no other option, too dirt! (If you have a different opinion, please discuss the solution.)command:sqo

Tags: sqoop oracle clob--map-column-javaSqoop import--hive-import--hive-overwrite--connect jdbc:oracle:thin:@192.168.92.136:1521:cyporcl--username ODS-- Password ' od154ds$! ('-M 1--hive-database ODS--table q_tra_disputestatus--fields-terminated-by ' \001 '--hive-drop-import-delims--null- String ' \\n '--null-non-string ' \\n '--map-column-java disputeresult=stringDisputeresult This field is Oracleclob type, there is a carriage return, loaded into hiv

Org.apache.hadoop.mapred.YarnChild.main (Yarnchild.java:158) caused By:java.io.IOException:SQLExceptioninchNextkeyvalue at Org.apache.sqoop.mapreduce.db.DBRecordReader.nextKeyValue (Dbrecordreader.java:277) at Org.apache.sqoop.mapreduce.db.SQLServerDBRecordReader.nextKeyValue (Sqlserverdbrecordreader.java:148) ... AMore caused by:com.microsoft.sqlserver.jdbc.SQLServerException: failed to convert string to uniqueidentifier. At Com.microsoft.sqlserver.jdbc.SQLServerException.makeFromData

-terminated-by "\\n" ... 12/07/2014:03:10infomapred. Jobclient:map0%reduce0%12/07/2014:03:24infomapred. jobclient:map100%reduce0% ... 12/07/2014:03:29infomapreduce. Exportjobbase:exported2record Checklist mysql>select*fromaward;+-------------------------------+-----------+-----------+ ------+-----------+-----------+--------+------+-------------+-----------------+---------+|rowkey| productid|matchid|rank|tourneyid|userid| gameid|gold|loginid|nick|plat|+------------------------- ------+----------

-projects, the remainder being Hadoop Common Hdfs:hadoop distributed FileSystem (Distributed File System)-hdfs (Hadoop Distributed File systems) MapReduce: Parallel computing framework, using the Org.apache.hadoop.mapred legacy interface before 0.20, and the 0.20 release to introduce the new API for Org.apache.hadoop.mapreduce Apache HBase: Distributed nosql Column database, similar to Google co

ArticleDirectory Obtain Java Obtain hadoop Set Environment Variables Configure hadoop-env.sh Configure core-site.xml Configure hdfs-site.xml Configure mapred-site.xml Install HDFS Start hadoop Simple debugging Obtain Java Obtain hadoop Set Environment Variables Configure

pig-0.9.2 installation and configuration Http://www.cnblogs.com/linjiqin/archive/2013/03/11/2954203.html Pig Instance One http://www.cnblogs.com/linjiqin/archive/2013/03/12/2956550.html Hadoop Pig Learning Notes (i) various kinds of SQL implemented in pig Blog Category: Hadoop Pig http://guoyunsky.iteye.com/blog/1317084 this blog is an original article, reproduced please indicate the source: htt

the dynamic balance of individual nodes, so processing is very fast.High level of fault tolerance. Hadoop has the ability to automatically save multiple copies of data and automatically reassign failed tasks.Low cost. Hadoop is open source, and the cost of software for a project is thus greatly reduced.Apache Hadoop Core ComponentsApache

Opening: Hadoop is a powerful parallel software development framework that allows tasks to be processed in parallel on a distributed cluster to improve execution efficiency. However, it also has some shortcomings, such as coding, debugging Hadoop program is difficult, such shortcomings directly lead to the entry threshold for developers, the development is difficult. As a result, HADOP developers have devel

Preface After a while of hadoop deployment and management, write down this series of blog records. To avoid repetitive deployment, I have written the deployment steps as a script. You only need to execute the script according to this article, and the entire environment is basically deployed. The deployment script I put in the Open Source China git repository (http://git.oschina.net/snake1361222/hadoop_scripts ). All the deployment in this article is b

Data mining platform79. Mahout-based data mining application development combatInstallation deployment and configuration optimization for 80.Mahout clusters81. Integrated Mahout and Hadoop integrated Big Data Mining platform application combat 14, Big Data Intelligent ETL operation and Hadoop cluster operation and maintenance monitoring tool platform Application Framework for data conver

Hadoop consists of two parts: Distributed File System (HDFS) Distributed Computing framework mapreduce The Distributed File System (HDFS) is mainly used for the Distributed Storage of large-scale data, while mapreduce is built on the Distributed File System to perform distributed computing on the data stored in the distributed file system. Describes the functions of nodes in detail. Namenode: 1. There is only one namenode in the