使用sqoop将MySQL数据库中的数据导入Hbase

前提:安装好 sqoop、hbase。

下载jbdc驱动:mysql-connector-java-5.1.10.jar

将 mysql-connector-java-5.1.10.jar 拷贝到 /usr/lib/sqoop/lib/ 下

MySQL导入HBase命令:

sqoop import --connect jdbc:mysql://10.10.97.116:3306/rsearch --table researchers --hbase-table A --column-family person --hbase-row-key id --hbase-create-table --username
'root' -P



说明:

--connect jdbc:mysql://10.10.97.116:3306/rsearch 表示远程或者本地 Mysql 服务的URI,3306是Mysql默认监听port,rsearch是数据库,若是其它数据库,如Oracle,仅仅需改动URI就可以。

--table researchers  表示导出rsearch数据库的researchers表。

--hbase-table A  表示在HBase中建立表A。

--column-family person 表示在表A中建立列族person。

--hbase-row-key id  表示表A的row-key是researchers表的id字段。

--hbase-create-table 表示在HBase中建立表。

--username 'root' 表示使用用户root连接Mysql。



注意:



HBase的全部节点必须可以訪问MySQL数据库。不然会出现例如以下错误:

java.sql.SQLException: null,  message from server: "Host '10.10.104.3' is not allowed to connect to this MySQL server"

[plain] view
plain
copy

  1. 在MySQL数据库server节点上运行下面命令同意远程机器使用对应用户訪问本地数据库server:
  2. [root@gc01vm6 htdocs] # /opt/lampp/bin/mysql
  3. mysql> use mysql;
  4. Database changed
  5. mysql> GRANT ALL PRIVILEGES ON rsearch.* TO 'root'@'10.10.104.3' IDENTIFIED BY '' WITH GRANT OPTION;
  6. mysql> GRANT ALL PRIVILEGES ON rsearch.* TO 'root'@'10.10.104.5' IDENTIFIED BY '' WITH GRANT OPTION;
  7. mysql> GRANT ALL PRIVILEGES ON rsearch.* TO 'root'@'10.10.104.2' IDENTIFIED BY '' WITH GRANT OPTION;

这里10.10.104.2,10.10.104.3,10.10.104.5 是HBase节点。

-------------------------------------------------------------------------------------------------





MySQL导入HBase的日志:



[root@gd02 hadoop]# sqoop import --connect
jdbc:mysql://10.10.97.116:3306/rsearch --table researchers --hbase-table A --column-family person --hbase-row-key id --hbase-create-table --username 'root' -P

Enter password: 

11/06/29 19:08:00 INFO tool.CodeGenTool: Beginning code generation

11/06/29 19:08:00 INFO manager.MySQLManager: Executing SQL statement: SELECT t.* FROM `researchers` AS t LIMIT 1

11/06/29 19:08:00 INFO manager.MySQLManager: Executing SQL statement: SELECT t.* FROM `researchers` AS t LIMIT 1

11/06/29 19:08:00 INFO orm.CompilationManager: HADOOP_HOME is /usr/lib/hadoop

11/06/29 19:08:00 INFO orm.CompilationManager: Found hadoop core jar at: /usr/lib/hadoop/hadoop-core.jar

Note: /tmp/sqoop-root/compile/d4dd4cb4e1e325fce31ca72c00a5589c/researchers.java uses or overrides a deprecated API.

Note: Recompile with -Xlint:deprecation for details.

11/06/29 19:08:02 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-root/compile/d4dd4cb4e1e325fce31ca72c00a5589c/researchers.jar

11/06/29 19:08:02 WARN manager.MySQLManager: It looks like you are importing from mysql.

11/06/29 19:08:02 WARN manager.MySQLManager: This transfer can be faster! Use the --direct

11/06/29 19:08:02 WARN manager.MySQLManager: option to exercise a MySQL-specific fast path.

11/06/29 19:08:02 INFO manager.MySQLManager: Setting zero DATETIME behavior to convertToNull (mysql)

11/06/29 19:08:02 INFO mapreduce.ImportJobBase: Beginning import of researchers

11/06/29 19:08:02 INFO manager.MySQLManager: Executing SQL statement: SELECT t.* FROM `researchers` AS t LIMIT 1

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.3.3-cdh3u0--1, built on 03/26/2011 00:21 GMT

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:host.name=gd02

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:java.version=1.6.0_13

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Sun Microsystems Inc.

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:java.home=/usr/java/jdk1.6.0_13/jre

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:java.class.path=/usr/lib/hadoop/conf:/usr/java/jdk1.6.0_13/lib/tools.jar:/usr/lib/hadoop:/usr/lib/hadoop/hadoop-core-0.20.2-cdh3u0.jar:/usr/lib/hadoop/lib/ant-contrib-1.0b3.jar:/usr/lib/hadoop/lib/aspectjrt-1.6.5.jar:/usr/lib/hadoop/lib/aspectjtools-1.6.5.jar:/usr/lib/hadoop/lib/commons-cli-1.2.jar:/usr/lib/hadoop/lib/commons-codec-1.4.jar:/usr/lib/hadoop/lib/commons-daemon-1.0.1.jar:/usr/lib/hadoop/lib/commons-el-1.0.jar:/usr/lib/hadoop/lib/commons-httpclient-3.0.1.jar:/usr/lib/hadoop/lib/commons-logging-1.0.4.jar:/usr/lib/hadoop/lib/commons-logging-api-1.0.4.jar:/usr/lib/hadoop/lib/commons-net-1.4.1.jar:/usr/lib/hadoop/lib/core-3.1.1.jar:/usr/lib/hadoop/lib/hadoop-fairscheduler-0.20.2-cdh3u0.jar:/usr/lib/hadoop/lib/hsqldb-1.8.0.10.jar:/usr/lib/hadoop/lib/jackson-core-asl-1.5.2.jar:/usr/lib/hadoop/lib/jackson-mapper-asl-1.5.2.jar:/usr/lib/hadoop/lib/jasper-compiler-5.5.12.jar:/usr/lib/hadoop/lib/jasper-runtime-5.5.12.jar:/usr/lib/hadoop/lib/jets3t-0.6.1.jar:/usr/lib/hadoop/lib/jetty-6.1.26.jar:/usr/lib/hadoop/lib/jetty-servlet-tester-6.1.26.jar:/usr/lib/hadoop/lib/jetty-util-6.1.26.jar:/usr/lib/hadoop/lib/jsch-0.1.42.jar:/usr/lib/hadoop/lib/junit-4.5.jar:/usr/lib/hadoop/lib/kfs-0.2.2.jar:/usr/lib/hadoop/lib/log4j-1.2.15.jar:/usr/lib/hadoop/lib/mockito-all-1.8.2.jar:/usr/lib/hadoop/lib/oro-2.0.8.jar:/usr/lib/hadoop/lib/servlet-api-2.5-20081211.jar:/usr/lib/hadoop/lib/servlet-api-2.5-6.1.14.jar:/usr/lib/hadoop/lib/slf4j-api-1.4.3.jar:/usr/lib/hadoop/lib/slf4j-log4j12-1.4.3.jar:/usr/lib/hadoop/lib/xmlenc-0.52.jar:/usr/lib/hadoop/lib/jsp-2.1/jsp-2.1.jar:/usr/lib/hadoop/lib/jsp-2.1/jsp-api-2.1.jar:/usr/lib/sqoop/conf:/usr/lib/hbase/conf::/usr/lib/sqoop/lib/ant-contrib-1.0b3.jar:/usr/lib/sqoop/lib/ant-eclipse-1.0-jvm1.2.jar:/usr/lib/sqoop/lib/commons-io-1.4.jar:/usr/lib/sqoop/lib/hadoop-mrunit-0.20.2-CDH3b2-SNAPSHOT.jar:/usr/lib/sqoop/lib/ivy-2.0.0-rc2.jar:/usr/lib/sqoop/lib/mysql-connector-java-5.1.10.jar:/usr/lib/hbase/hbase-0.90.1-cdh3u0.jar:/usr/lib/hbase/hbase-0.90.1-cdh3u0-tests.jar:/usr/lib/hbase/lib/activation-1.1.jar:/usr/lib/hbase/lib/asm-3.1.jar:/usr/lib/hbase/lib/avro-1.3.3.jar:/usr/lib/hbase/lib/commons-cli-1.2.jar:/usr/lib/hbase/lib/commons-codec-1.4.jar:/usr/lib/hbase/lib/commons-el-1.0.jar:/usr/lib/hbase/lib/commons-httpclient-3.1.jar:/usr/lib/hbase/lib/commons-lang-2.5.jar:/usr/lib/hbase/lib/commons-logging-1.1.1.jar:/usr/lib/hbase/lib/commons-net-1.4.1.jar:/usr/lib/hbase/lib/core-3.1.1.jar:/usr/lib/hbase/lib/guava-r06.jar:/usr/lib/hbase/lib/hadoop-core.jar:/usr/lib/hbase/lib/hbase-0.90.1-cdh3u0.jar:/usr/lib/hbase/lib/jackson-core-asl-1.5.2.jar:/usr/lib/hbase/lib/jackson-jaxrs-1.5.5.jar:/usr/lib/hbase/lib/jackson-mapper-asl-1.5.2.jar:/usr/lib/hbase/lib/jackson-xc-1.5.5.jar:/usr/lib/hbase/lib/jasper-compiler-5.5.23.jar:/usr/lib/hbase/lib/jasper-runtime-5.5.23.jar:/usr/lib/hbase/lib/jaxb-api-2.1.jar:/usr/lib/hbase/lib/jaxb-impl-2.1.12.jar:/usr/lib/hbase/lib/jersey-core-1.4.jar:/usr/lib/hbase/lib/jersey-json-1.4.jar:/usr/lib/hbase/lib/jersey-server-1.4.jar:/usr/lib/hbase/lib/jettison-1.1.jar:/usr/lib/hbase/lib/jetty-6.1.26.jar:/usr/lib/hbase/lib/jetty-util-6.1.26.jar:/usr/lib/hbase/lib/jruby-complete-1.0.3.jar:/usr/lib/hbase/lib/jsp-2.1-6.1.14.jar:/usr/lib/hbase/lib/jsp-api-2.1-6.1.14.jar:/usr/lib/hbase/lib/jsp-api-2.1.jar:/usr/lib/hbase/lib/jsr311-api-1.1.1.jar:/usr/lib/hbase/lib/log4j-1.2.16.jar:/usr/lib/hbase/lib/protobuf-java-2.3.0.jar:/usr/lib/hbase/lib/servlet-api-2.5-6.1.14.jar:/usr/lib/hbase/lib/servlet-api-2.5.jar:/usr/lib/hbase/lib/slf4j-api-1.5.8.jar:/usr/lib/hbase/lib/slf4j-log4j12-1.5.8.jar:/usr/lib/hbase/lib/stax-api-1.0.1.jar:/usr/lib/hbase/lib/thrift-0.2.0.jar:/usr/lib/hbase/lib/xmlenc-0.52.jar:/usr/lib/hbase/lib/zookeeper.jar:/usr/lib/zookeeper/zookeeper-3.3.3-cdh3u0.jar:/usr/lib/zookeeper/zookeeper.jar:/usr/lib/zookeeper/lib/jline-0.9.94.jar:/usr/lib/zookeeper/lib/log4j-1.2.15.jar:/usr/lib/sqoop/sqoop-1.2.0-cdh3u0.jar:/usr/lib/sqoop/sqoop-test-1.2.0-cdh3u0.jar:

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/usr/java/jdk1.6.0_13/jre/lib/amd64/server:/usr/java/jdk1.6.0_13/jre/lib/amd64:/usr/java/jdk1.6.0_13/jre/../lib/amd64:/usr/java/packages/lib/amd64:/lib:/usr/lib

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:os.version=2.6.18-164.el5

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:user.name=root

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:user.home=/root

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Client environment:user.dir=/home/hadoop

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=gd05:2181,gd03:2181,gd02:2181 sessionTimeout=180000 watcher=hconnection

11/06/29 19:08:02 INFO zookeeper.ClientCnxn: Opening socket connection to server gd03/10.10.104.3:2181

11/06/29 19:08:02 INFO zookeeper.ClientCnxn: Socket connection established to gd03/10.10.104.3:2181, initiating session

11/06/29 19:08:02 INFO zookeeper.ClientCnxn: Session establishment complete on server gd03/10.10.104.3:2181, sessionid = 0x130b2e901cd0012, negotiated timeout = 180000

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=gd05:2181,gd03:2181,gd02:2181 sessionTimeout=180000 watcher=hconnection

11/06/29 19:08:02 INFO zookeeper.ClientCnxn: Opening socket connection to server gd03/10.10.104.3:2181

11/06/29 19:08:02 INFO zookeeper.ClientCnxn: Socket connection established to gd03/10.10.104.3:2181, initiating session

11/06/29 19:08:02 INFO zookeeper.ClientCnxn: Session establishment complete on server gd03/10.10.104.3:2181, sessionid = 0x130b2e901cd0013, negotiated timeout = 180000

11/06/29 19:08:02 INFO client.HConnectionManager$HConnectionImplementation: Closed zookeeper sessionid=0x130b2e901cd0013

11/06/29 19:08:02 INFO zookeeper.ZooKeeper: Session: 0x130b2e901cd0013 closed

11/06/29 19:08:02 INFO zookeeper.ClientCnxn: EventThread shut down

11/06/29 19:08:02 INFO mapreduce.HBaseImportJob: Creating missing column family person

11/06/29 19:08:02 INFO client.HBaseAdmin: Started disable of A

11/06/29 19:08:03 INFO client.HBaseAdmin: Disabled A

11/06/29 19:08:03 INFO client.HBaseAdmin: Started enable of A

11/06/29 19:08:06 INFO client.HBaseAdmin: Enabled table A

11/06/29 19:08:07 INFO mapred.JobClient: Running job: job_201106212352_0010

11/06/29 19:08:08 INFO mapred.JobClient:  map 0% reduce 0%

11/06/29 19:08:19 INFO mapred.JobClient:  map 40% reduce 0%

11/06/29 19:08:20 INFO mapred.JobClient:  map 80% reduce 0%

11/06/29 19:08:34 INFO mapred.JobClient:  map 100% reduce 0%

11/06/29 19:08:34 INFO mapred.JobClient: Job complete: job_201106212352_0010

11/06/29 19:08:34 INFO mapred.JobClient: Counters: 11

11/06/29 19:08:34 INFO mapred.JobClient:   Job Counters 

11/06/29 19:08:34 INFO mapred.JobClient:     SLOTS_MILLIS_MAPS=82848

11/06/29 19:08:34 INFO mapred.JobClient:     Total time spent by all reduces waiting after reserving slots (ms)=0

11/06/29 19:08:34 INFO mapred.JobClient:     Total time spent by all maps waiting after reserving slots (ms)=0

11/06/29 19:08:34 INFO mapred.JobClient:     Launched map tasks=5

11/06/29 19:08:34 INFO mapred.JobClient:     SLOTS_MILLIS_REDUCES=0

11/06/29 19:08:34 INFO mapred.JobClient:   FileSystemCounters

11/06/29 19:08:34 INFO mapred.JobClient:     HDFS_BYTES_READ=527

11/06/29 19:08:34 INFO mapred.JobClient:     FILE_BYTES_WRITTEN=310685

11/06/29 19:08:34 INFO mapred.JobClient:   Map-Reduce Framework

11/06/29 19:08:34 INFO mapred.JobClient:     Map input records=81868

11/06/29 19:08:34 INFO mapred.JobClient:     Spilled Records=0

11/06/29 19:08:34 INFO mapred.JobClient:     Map output records=81868

11/06/29 19:08:34 INFO mapred.JobClient:     SPLIT_RAW_BYTES=527

11/06/29 19:08:34 INFO mapreduce.ImportJobBase: Transferred 0 bytes in 28.108 seconds (0 bytes/sec)

11/06/29 19:08:34 INFO mapreduce.ImportJobBase: Retrieved 81868 records.



參考资料:



利用sqoop将mysql数据同步到hive手记

http://www.54chen.com/java-ee/sqoop-mysql-to-hive.html

利用Sqoop将数据从数据库导入到HDFS

http://www.cnblogs.com/gpcuster/archive/2011/03/01/1968027.html

Sqoop

http://www.duyifan.com/

MySQL向Hive/HBase的迁移工具

http://www.javabloger.com/article/hadoop-hive-mysql-sqoop.html

官方手冊

http://archive.cloudera.com/cdh/3/sqoop/SqoopUserGuide.html

使用sqoop将MySQL数据库中的数据导入Hbase的更多相关文章

  1. python制作简单excel统计报表3之将mysql数据库中的数据导入excel模板并生成统计图

    python制作简单excel统计报表3之将mysql数据库中的数据导入excel模板并生成统计图 # coding=utf-8 from openpyxl import load_workbook ...

  2. mysql数据库中的数据导入与导出

    需求: 在本地电脑上的mysql中创建了一个数据库,并且在该数据库中创建了很多表,表中数据比较多: 现在想换一台电脑,但是又不想重新建数据库.建表.造数据. 解决方案: 利用mysql提供的命令,在本 ...

  3. Sqoop(三)将关系型数据库中的数据导入到HDFS(包括hive,hbase中)

    一.说明: 将关系型数据库中的数据导入到 HDFS(包括 Hive, HBase) 中,如果导入的是 Hive,那么当 Hive 中没有对应表时,则自动创建. 二.操作 1.创建一张跟mysql中的i ...

  4. mysql数据库中插入数据INSERT INTO SET的优势

    往mysql数据库中插入数据.以前常用 INSERT INTO 表名 (列名1,列名2…) VALUES(列值1,列值2); 如果在PHP程序中,就会写成如下示例(往商品库里增加商品) $sql = ...

  5. JDBC Java 程序从 MySQL 数据库中读取数据,并备份到 xml 文档中

    MySQL 版本:Server version: 5.7.17-log MySQL Community Server (GPL) 相关内容:JDBC Java 程序从 MySQL 数据库中读取数据,并 ...

  6. 使用grabit分析mysql数据库中的数据血缘关系

    使用grabit分析mysql数据库中的数据血缘关系 Grabit 是一个辅助工具,用于从数据库.GitHub 等修订系统.bitbucket 和文件系统等各种来源收集 SQL 脚本和存储过程,然后将 ...

  7. 如何将数据库中的数据导入到Solr中

    要使用solr实现网站中商品搜索,需要将mysql数据库中数据在solr中创建索引. 1.需要在solr的schema.xml文件定义要存储的商品Field. 商品表中的字段为: 配置内容是: < ...

  8. phpexcel的写操作将数据库中的数据导入到excel中

    这个版本据说是可以支持excel2007,但是我使用2007编辑的xlsx是无法获得该库的支持.于是乎我就将它转化为2003.感觉支持地很好. 下面介绍一下具体的使用: require_once('. ...

  9. 详解大数据采集引擎之Sqoop&采集oracle数据库中的数据

    一.Sqoop的简介: Sqoop是一个数据采集引擎/数据交换引擎,采集关系型数据库(RDBMS)中的数据,主要用于在RDBMS与HDFS/Hive/HBase之间进行数据传递,可以通过sqoop i ...

随机推荐

  1. python 之html的headers提取操作

    # -*- coding: cp936 -*- #python 27 #xiaodeng #python 之html的headers提取操作 # import urllib,urllib2 html= ...

  2. MongoDB安装实录

      mongodb是nosql中的贵族,很受欢迎... 01.下载 官方:https://www.mongodb.com 社区版.企业版 https://www.mongodb.com/downloa ...

  3. Pinyin4j导读

    Pinyin4j是Java中的拼音库,作者李民. 拼音这件事其实非常简单,无非是一种映射.但是拼音中包含的学问很多,很多前贤都研究过汉语拼音,提出了多种拼音方案.随着历史变迁,拼音的形式也在不断发生变 ...

  4. Linux主要shell命令详解(上)

    [摘自网络] kill -9 -1即实现用kill命令退出系统 Linux主要shell命令详解 [上篇] shell是用户和Linux操作系统之间的接口.Linux中有多种shell,其中缺省使用的 ...

  5. [转]nf_conntrack: table full, dropping packet 连接跟踪表已满,开始丢包 的解决办法

      nf_conntrack: table full, dropping packet  连接跟踪表已满,开始丢包 的解决办法 中午业务说机器不能登录,我通过USM管理界面登录单板的时候发现机器没有僵 ...

  6. mysql insert if not exists防止插入重复记录的方法(转)

    MySQL 当记录不存在时插入(insert if not exists) 在 MySQL 中,插入(insert)一条记录很简单,但是一些特殊应用,在插入记录前,需要检查这条记录是否已经存在,只有当 ...

  7. 重整ADO.NET连接池相关资料

    https://msdn.microsoft.com/zh-cn/library/system.data.sqlclient.sqlconnection.connectionstring(VS.80) ...

  8. atom介绍

    在公司微信群,看到activate-power-mode插件的效果,很绚丽,才知道github自己出了一个自己的编辑器atom 官网地址 https://atom.io 官网看了下,atom编辑器的特 ...

  9. Linux增加swap空间

    1.添加交换文件并设置其大小为12G,使用如下命令 # dd if=/dev/zero of=/home/swapfile bs=1024 count=12288000 12288000+0 reco ...

  10. Java Nashorn--Part 2

    在命令行中执行 JavaScript 现在我们有一个 my_script.js 文件,想在 Nashorn 下执行,则需要在命令行下执行该命令: jrunscript my_script.js jru ...