使用sqoop将MySQL数据库中的数据导入Hbase

企业开发 2018-05-14 15:28:19 阅读次数: 4
1.下载以下三个包：
sqoop-1.2.0-CDH3B4.tar
hadoop-0.20.2-CDH3B4.tar
mysql-connector-java-5.1.18.tar
2.解压sqoop包，配置/etc/profile的
SQOOP_HOME为解压位置
在PATH里加上$SQOOP_HOME/bin
新建ZOOKEEPER_HOME为HBASE里zookeeper的jar包所在位置，我的是$HBASE_HOME/lib,好像在哪里设置一下，就不用判断ZOOKEEPER检验了
3.解压hadoop-0.20.2-CDH3B4.tar包，并将解压后根目录的hadoop-core-**.jar复制到sqoop的lib文件夹下，重命名成hadoop-mrunit-0.20.2-CDH***.jar,即将其替换掉，可以把之前的jar包加个_old后缀。我当前的hadoop版本是0.20.2，不用换hadoop版本，只需按本步操作即可
4.解压mysql包将解压后的jar包copy到sqoop的lib目录,并将此jar文件路径添加到classpath中
OK了，配置完毕
分布式模式下导入MYSQL数据到HBASE：
1.安装mysql，我的centos6系统安装时便安装了mysql
2.配置mysql，HADOOP权威指南上的例子15－1是本机模式，而分布式模式必须将mysql的连接权限设给其他人，有两种方法：
一种是
GRANT ALL PRIVILEGES ON databaseName.* TO '%'@'%';   #允许所有用户查看和修改databaseName数据库模式的内容，否则别的IP连不上本MYSQL
GRANT ALL PRIVILEGES ON databaseName.* TO ''@'%';  #不是很清楚，可能是匿名吧
另外一种是一个个的将权限赋给指定IP的用户，这里不说了
3.可以运行了
sqoop import --connect jdbc:mysql://mysqlserver_IP/databaseName --table testtable -m 1
其中，   mysqlserver_IP是mysql服务器地址,databaseName是数据库名，testtable是表名，-m 1 指定只用一个map任务，因为我测试数据才3条记录，默认4个map,这是导成文件格式，如果要导入到hbase中，则输入下面的，最好将其写在shell中：
sqoop import --connect jdbc:mysql://mysqlserver_IP/databaseName --table datatable --hbase-create-table --hbase-table hbase_tablename --column-family col_fam_name --hbase-row-key key_col_name
其中 ，databaseName 和datatable 是mysql的数据库和表名，hbase_tablename是要导成hbase的表名，key_col_name可以指定datatable中哪一列作为hbase新表的rowkey，col_fam_name是除rowkey之外的所有列的列族名
切记：--connect jdbc:mysql://mysqlserver_IP/databaseName ： 非单机模式下，必须写成mysql服务器地址，不能用localhost，整了很久才发现





*******************************************************************************
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 复制到 /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默认监听端口，rsearch是数据库，若是其他数据库，如Oracle,只需修改URI即可。
--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的所有节点必须能够访问MySQL数据库，不然会出现如下错误：
java.sql.SQLException: null,  message from server: "Host '10.10.104.3' is not allowed to connect to this MySQL server"

[plain] view plaincopy
在MySQL数据库服务器节点上执行以下命令允许远程机器使用相应用户访问本地数据库服务器： 
[root@gc01vm6 htdocs] # /opt/lampp/bin/mysql 
 
mysql> use mysql; 
Database changed 
mysql> GRANT ALL PRIVILEGES ON rsearch.* TO 'root'@'10.10.104.3' IDENTIFIED BY '' WITH GRANT OPTION;  
mysql> GRANT ALL PRIVILEGES ON rsearch.* TO 'root'@'10.10.104.5' IDENTIFIED BY '' WITH GRANT OPTION;  
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.

参考资料：

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

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