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Tags: des style blog http ar os using SP onThe installation configuration of Hadoop is not spoken here. The installation of Sqoop is also very simple. After you complete the installation of SQOOP, you can test if you can connect to MySQL (note: The MySQL Jar pack is to be placed under Sqoop_home/lib):Sqoop list-databas
statement)Sqoop Import--connect jdbc:mysql://192.168.1.10:3306/itcast--username root--password 123 \--query ' SELECT * from Trade_detail where ID > 2 and $CONDITIONS '--split-by trade_detail.id--target-dir '/sqoop/td3 'Note: If you use the--query command, it is important to note that the argument after the where, and $CONDITIONS This parameter must be addedAnd there is the difference between single and dou
Tags: lin replace tell database hang CAs install prompt relationshipThe sqoop1.4.6 how to import MySQL data into the Sqoop installation of Hadoop is described in the previous article , and the following is a simple use command for data interoperability between the two. Display MySQL database information, General Sqoop installation testSqoop list-databases--connec
I. Introduction of SqoopSqoop is a tool for transferring data from Hadoop (Hive, HBase), and relational databases, to importing data from a relational database (such as MySQL, Oracle, Postgres, etc.) into Hadoop's HDFs. You can also import HDFs data into a relational database.Sqoop is now an Apache top-level project, and the current version is 1.4.4 and Sqoop2 1.99.3, this article takes the 1.4.4 version as an example to explain the basic installation
Tags: connect dir date overwrite char post arch src 11.2.0.1Due to the increasing volume of business data and the large amount of computing, the traditional number of silos has been unable to meet the computational requirements, so it is basically to put the data on the Hadoop platform to implement the logical computing, then it involves how to migrate Oracle Data Warehouse to the Hadoop platform. Here we h
In the hadoop cluster environment, use sqoop to import the data generated by hive into the mysql database. The exception Causedby: java. SQL. SQLException: null, messagefromserver: success; unblockwithmysqladmin In the hadoop cluster environment, sqoop is used to import the data generated by hive into the mysql databas
1. Sqoop installed on Hadoop.client 2. Duplicate a copy of sqoop-env-template.sh, named sqoop-env.sh 3. Modify the contents of sqoop-env.sh: Export Hadoop_common_home=/home/hadoopuser/hadoop Export Hadoop_mapred_home=/home/hadoopuser/had
3, hive installation configuration3.1install MySQLInstalling MySQL on the datanode5# yum-y Installmysql-server MySQL# MySQLMysql> Grant all privileges on * * [email protected] ' 10.40.214.% ' identified by ' hive ';mysql> flush Privileges;3.2Installing Hive# tar-zxf Apache-hive-0.13.1-bin.tar.gz-c/var/data/; Mv/var/data/apache-hive-0.13.1/var/data/hive# cd/var/data/hive# vimbin/hive-config.sh # # Add the following at the beginning of the scriptExportjava_home=/usr/java/jdk1.7.0_71Exporthive_home
Label:Training Big Data architecture development, mining and analysis! From zero-based to advanced, one-to-one training! [Technical qq:2937765541] --------------------------------------------------------------------------------------------------------------- ---------------------------- Course System: get video material and training answer technical support address Course Presentation ( Big Data technology is very wide, has been online for you training solutions!) ): get video material and tr
-scm-agent# for a in {1..6}; Do ssh enc-bigdata0$a/opt/cm-5.8.0/etc/init.d/cloudera-scm-agent start; Done6. Problem: Cloudera-scm-agent failed to start: Unable to create the PidfileReason: Unable to create/opt/cm-5.8.0/run/cloudera-scm-agentWorkaround:# mkdir/opt/cm-5.8.0/run/cloudera-scm-agent# Chown-r Cloudera-scm:cloudera-scm/opt/cm-5.8.0/run/cloudera-scm-agent7. Access URL: http://IP:7180/(configuration CDH5.8.0)enc-bigdata0[1-6].enc.cn # #点击模式Note: It is important to modify the JDK home dir
(i) importing from a relational database to HDFs1. Keep the following parameters as Import.scriptImport--connectJdbc:mysql://192.168.1.14:3306/test--usernameRoot--password1234-M1--null-string‘‘--tableUser--columns"Id,username,age"--target-dir/user/root/sqoop_test--This directory cannot exist2. Execute Sqoop--options-file./import.script(ii) Import from HDFs to a relational database1. Keep the following parameters as Export.scriptExport--connectJdbc:mys
1. Install the deployment(1), download address: http://archive.cloudera.com/cdh5/cdh/5/sqoop-1.4.6-cdh5.5.2.tar.gzUnzip to/home/neil/downloads/hadoop-2.7.3/sqoop-1.4.6(2), copy the MySQL JDBC driver package Mysql-connector-java-5.1.31-bin.jar to the Sqoop/lib directory.(3), configuration environment variable
Take over the previous lesson. Now let's talk about exporting the tutorial and check the connection to see if there is any available connection. If not, create a sqoop: 000showconnector -- all1connector (s) toshow according to the method in the previous lesson: connectorwithid1: Name: generic-jdbc-connectorClass: org. apache. sqoop. c Take over the previous lesso
/08/01 10:50:17 INFO mapred.JobClient: Job complete: job_201408010921_000814/08/01 10:50:17 INFO mapred.JobClient: Counters: 29......7) View the results of the output[[emailprotected] CompanyJoinAddress]$ hadoop fs -ls CompanyJoinAddress/outputFound 3 items-rw-r--r-- 1 hadoop supergroup 0 2014-08-01 10:50 /user/hadoop/CompanyJoinAddress/output/_SUCCESSdrwxr-xr-
-15 11:10 /user/hadoop/wordcount/output/_logs-rw-r--r-- 1 hadoop supergroup 41 2014-09-15 11:11 /user/hadoop/wordcount/output/part-r-00000使用 hadoop fs –cat wordcount/output/part-r-00000命令查看输出结果，如下所示：#查看结果输出文件内容[[emailprotected] WordCount]$ hadoop fs -cat wordcount/output/p
/08/01 10:50:17 INFO mapred.JobClient: Job complete: job_201408010921_000814/08/01 10:50:17 INFO mapred.JobClient: Counters: 29......7) View the results of the output[[emailprotected] CompanyJoinAddress]$ hadoop fs -ls CompanyJoinAddress/outputFound 3 items-rw-r--r-- 1 hadoop supergroup 0 2014-08-01 10:50 /user/hadoop/CompanyJoinAddress/output/_SUCCESSdrwxr-xr-
":" Root "," group ":" Hadoop "," permission ":" 755 "," Accesstime ": 0," Modificationtime ": 1423475272189," BlockSize ": 0," Replication ": 0},{" Pathsuffix ":" Root "," type ":" DIRECTORY "," length ": 0," owner ":" Root "," group ":" Hadoop "," permission ":" 0, "" modificationtime ": 1423221719835," BlockSize ": 0," Replication ": 0},{" Pathsuffix ":" Spark "," type ":" DIRECTORY "," Length ": 0," ow
) View HDFs system[[emailprotected] ~] $ hadoop fs -ls /View the Hadoop HDFs file management system through Hadoop fs-ls/commands, as shown in the Linux file system directory. The results shown above indicate that the Hadoop standalone installation was successful. So far, we have not made any changes to the
Hadoop has always been the technology I want to learn, just as the recent project team to do e-mall, I began to study Hadoop, although the final identification of Hadoop is not suitable for our project, but I will continue to study, more and more do not press.The basic Hadoop tutor
Alex's Hadoop cainiao Tutorial: 7th Sqoop2 import tutorial, hadoopsqoop2 For details about the installation and jdbc driver preparation, refer to section 6th. Now I will use an example to explain how to use sqoop2.Data Preparation There is a mysql table named worker, which contains three pieces of data. We want to import it to
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