sqoop big data

Tags: res int lis Address Char class nbsp HDFs--First, the data of a MySQL table is imported into HDFs using Sqoop1.1, first in MySQL to prepare a test table Mysql> descUser_info;+-----------+-------------+------+-----+---------+-------+ |Field|Type| Null | Key | Default |Extra| +-----------+-------------+------+-----+---------+-------+ |Id| int( One)|YES| | NULL | | | user_name | varchar( -)|YES| | NULL | | |Age| int( One)|Y

-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

Label:A few days ago using Sqoop to import HDFs data into MySQL, I found that the Chinese guide will be garbled, my execution command is: Sqoop export--connect "Jdbc:mysql://10.19.157.*****?useunicode=truecharacterencoding=utf-8"--table Msg_rule_ Copy--username root--password root***--export-dir $path--hadoop-home $home--direct At first I thought it was the MySQL

failed. Failedmaps:1 failedreduces:0 15/06/11 17:06:41 INFO MapReduce. Job:counters:8Job CountersFailed Map tasks=4Launched Map tasks=4Other local map tasks=4Total time spent by all maps in occupied slots (ms) =18943Total time spent by all reduces in occupied slots (ms) =0Total time spent by all map tasks (ms) =18943Total Vcore-seconds taken by all map tasks=18943Total Megabyte-seconds taken by all map tasks=1939763215/06/11 17:06:41 WARN MapReduce. Counters:group filesystemcounters is deprecat

Three myths about big data as the industry's interest in big data grows, one of my favorite topics I've done in 2013 was the big data public speaking more than any previous year in my career. I've made a lot of speeches at industr

Tags: Data import description process Hal host ONS pac mysq python scriptTurn: 53064123Using Python to import data from the MySQL database into hive, the process is to manipulate sqoop in Python language.#!/usr/bin/env python#Coding:utf-8# --------------------------------#Created by Coco on 16/2/23# ---------------------------------#Comment: Main function Descri

Tags: Hadoop sqoopFirst, using Sqoop to import data from MySQL into the hdfs/hive/hbaseSecond, the use of Sqoop will be the data in the Hdfs/hive/hbaseExportto MySQL 2.3 NBSP; hbase data exported to MySQL There is no immediate command to direct

Tags: TCO tac man rem Eid name Apach Auth RMIPreviously used Sqoop to complete data extraction from the generated HDFS data store to Oracle's database: Sqoop Extract statement:Sqoop export--connect "Jdbc:oracle:thin: @ip:p ort:sid"--username user name--password password--table sid. Table name--export-dir Hdfs://na MESE

Tags: sqoopReferenceHttp://www.cnblogs.com/iPeng0564/p/3215055.htmlHttp://www.tuicool.com/articles/j2yayyjhttp://blog.csdn.net/jxlhc09/article/details/168568731.list databasesSqoop list-databases--connect jdbc:mysql://192.168.2.1:3306/--username sqoop--password sqoop2. Create a hive table with SqoopSqoop create-hive-table--connect jdbc:mysql://xx:3306/test?characterencoding=utf-8--table employee--userna Me Root-password ' xx '--hive-database db_hive_e

(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

Transferred from: http://www.aboutyun.com/thread-7569-1-1.htmlBig Data We all know about Hadoop, but there's a whole range of technologies coming into our sights: Spark,storm,impala, let's just not come back. To be able to better architect big data projects, here to organize, for technicians, project managers, architects to choose the right technology, understand