sqoop-1.4.同步数据到hdfs

Myth丶恋晨 2024-02-18 21:36 5阅读 0赞

1.显示所有数据库

sqoop list-databases -connect jdbc:mysql://192.168.1.133:3306/ --username root -password root

2. 显示所有表

sqoop list-tables --connect jdbc:mysql://192.168.1.133:3306/ue\_incas --username root -P

3. 数据从mysql导入hdfs

sqoop import --connect jdbc:mysql://192.168.1.133:3306/ue\_incas --username root --P --table sys\_param --target-dir /mysqltohdfs2/sys\_param -m 4

mysql导入hdfs时注意事项：

(1) --target-dir /mysqltohdfs2/sys\_param 中的 “sys\_param”目录不能存在；

(2) 异常信息：

Application application\_1531365865313\_0001 failed 2 times due to AM Container for appattempt\_1531365865313\_0001\_000002 exited with exitCode: 1  
For more detailed output, check application tracking page:http://localhost:8088/cluster/app/application\_1531365865313\_0001Then, click on links to logs of each attempt.  
Diagnostics: Exception from container-launch.  
Container id: container\_1531365865313\_0001\_02\_000001  
Exit code: 1  
Stack trace: ExitCodeException exitCode=1:  
at org.apache.hadoop.util.Shell.runCommand(Shell.java:585)  
at org.apache.hadoop.util.Shell.run(Shell.java:482)  
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:776)  
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)  
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)  
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)  
at java.util.concurrent.FutureTask.run(FutureTask.java:262)  
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)  
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)  
at java.lang.Thread.run(Thread.java:745)  
Container exited with a non-zero exit code 1

Failing this attempt. Failing the application.

解决方案：

（1）检查 core-site.xml、mapred-site.xml中配置的文件路径是否正确

mapred-site.xml中的日志路径：

<property>  
<name>yarn.app.mapreduce.am.staging-dir</name>  
<value>/hadoop\_log</value>

</property>

中的 “/hadoop\_log” 是通过 hdfs dfs -mkdir /hadoop\_log 命令创建的，非linux中文件系统的路径

（2）yarn-site.xml中的参数 yarn.application.classpath 需要注释

<!--  
<property>  
<name>yarn.application.classpath</name>  
<value>  
/opt/modules/hadoop/hadoop-2.7.6/\*,  
/opt/modules/hadoop/hadoop-2.7.6/etc/\*,  
/opt/modules/hadoop/hadoop-2.7.6/etc/hadoop/\*,  
/opt/modules/hadoop/hadoop-2.7.6/lib/\*,  
/opt/modules/hadoop/hadoop-2.7.6/share/hadoop/common/\*,  
/opt/modules/hadoop/hadoop-2.7.6/share/hadoop/common/lib/\*,  
/opt/modules/hadoop/hadoop-2.7.6/share/hadoop/mapreduce/\*,  
/opt/modules/hadoop/hadoop-2.7.6/share/hadoop/mapreduce/lib/\*,  
/opt/modules/hadoop/hadoop-2.7.6/share/hadoop/hdfs/\*,  
/opt/modules/hadoop/hadoop-2.7.6/share/hadoop/hdfs/lib/\*,  
/opt/modules/hadoop/hadoop-2.7.6/share/hadoop/yarn/\*,  
/opt/modules/hadoop/hadoop-2.7.6/share/hadoop/yarn/lib/\*  
</value>  
</property>

\-->

4. hadoop-2.7.6的配置文件

（1） core-site.xml

<configuration>  
<property>  
<name>fs.defaultFS</name>  
<value>hdfs://localhost.localdomain:8020</value>  
</property>  
  
<property>  
<name>hadoop.tmp.dir</name>  
<value>/opt/modules/hadoop-2.7.6/tmp</value>  
</property>  
  
<property>  
<name>hadoop.proxyuser.hadoop.hosts</name>  
<value>\*</value>  
</property>  
<property>  
<name>hadoop.proxyuser.hadoop.groups</name>  
<value>\*</value>  
</property>  
  
</configuration>

(2) hdfs-site.xml

<configuration>  
<property>  
<name>dfs.replication</name>  
<value>1</value>  
</property>  
</configuration>

(3) yarn-site.xml

<configuration>  
  
<property>  
<name>yarn.nodemanager.aux-services</name>  
<value>mapreduce\_shuffle</value>  
</property>  
  
<property>  
<name>yarn.resourcemanager.hostname</name>  
<value>localhost.localdomain</value>  
</property>

</configuration>

(4) mapred-site.xml

<configuration>  
<property>  
<name>mapreduce.framework.name</name>  
<value>yarn</value>  
</property>  
  
<property>  
<name>mapreduce.jobhistory.address</name>  
<value>localhost.localdomain:10020</value>  
</property>  
  
<property>  
<name>mapreduce.jobhistory.webapp.address</name>  
<value>localhost.localdomain:19888</value>  
</property>  
  
<property>  
<name>yarn.app.mapreduce.am.staging-dir</name>  
<value>/hadoop\_log</value>  
</property>  
</configuration>

5. sqoop1.4.X 配置文件sqoop-env.sh：

export HADOOP\_COMMON\_HOME=/opt/modules/hadoop-2.7.6  
export HADOOP\_MAPRED\_HOME=/opt/modules/hadoop-2.7.6  
\#export HBASE\_HOME=  
\#export HIVE\_HOME=

export ZOOCFGDIR=/opt/modules/zookeeper-3.4.12

6. 下载地址：

（1）hadoop2.7.6：http://mirrors.hust.edu.cn/apache/

（hadoop-2.6.0-cdh5.9.3.tar.gz下载地址：http://archive.cloudera.com/cdh5/cdh/5/）

（2）sqoop下载地址：http://mirrors.hust.edu.cn/apache/sqoop/

（3）zookeeper下载地址：https://www.apache.org/dyn/closer.cgi/zookeeper/

（4）JDK下载地址：http://www.oracle.com/technetwork/java/javase/downloads/index.html

（5）storm下载地址：http://storm.apache.org/downloads.html

7. sqoop导入Mysql到hdfs其他方式

（1）指定分隔符和导入路径

sqoop import \\  
\--connect jdbc:mysql://hadoop1:3306/mysql \\  
\--username root \\  
\--password root \\  
\--table help\_keyword \\  
\--target-dir /user/hadoop11/my\_help\_keyword1 \\  
\--fields-terminated-by '\\t' \\

\-m 2

（2）带where条件

sqoop import \\  
\--connect jdbc:mysql://hadoop1:3306/mysql \\  
\--username root \\  
\--password root \\  
\--where "name='STRING' " \\  
\--table help\_keyword \\  
\--target-dir /sqoop/hadoop11/myoutport1 \\

\-m 1

（3）查询指定列

sqoop import \\  
\--connect jdbc:mysql://hadoop1:3306/mysql \\  
\--username root \\  
\--password root \\  
\--columns "name" \\  
\--where "name='STRING' " \\  
\--table help\_keyword \\  
\--target-dir /sqoop/hadoop11/myoutport22 \\  
\-m 1

selct name from help\_keyword where name = "string"

（4）指定自定义查询SQL

sqoop import \\  
\--connect jdbc:mysql://hadoop1:3306/ \\  
\--username root \\  
\--password root \\  
\--target-dir /user/hadoop/myimport33\_1 \\  
\--query 'select help\_keyword\_id,name from mysql.help\_keyword where $CONDITIONS and name = "STRING"' \\  
\--split-by help\_keyword\_id \\  
\--fields-terminated-by '\\t' \\  
\-m 4