Oozie在执行sqoop的时候报错，同样的SQL在sqoop中可用，在oozie中不可用：
Caused by: java.sql.SQLSyntaxErrorException: ORA-00918: 未明确定义列
at oracle.jdbc.driver.T4CTTIoer.processError(T4CTTIoer.java:450)
at oracle.jdbc.driver.T4CTTIoer.processError(T4CTTIoer.java:399)
at oracle.jdbc.driver.T4C8Oall.processError(T4C8Oall.java:1059)
at oracle.jdbc.driver.T4CTTIfun.receive(T4CTTIfun.java:522)
at oracle.jdbc.driver.T4CTTIfun.doRPC(T4CTTIfun.java:257)
at oracle.jdbc.driver.T4C8Oall.doOALL(T4C8Oall.java:587)
at oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:225)
at oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:53)
at oracle.jdbc.driver.T4CPreparedStatement.executeForDescribe(T4CPreparedStatement.java:774)
at oracle.jdbc.driver.OracleStatement.executeMaybeDescribe(OracleStatement.java:925)
at oracle.jdbc.driver.OracleStatement.doExecuteWithTimeout(OracleStatement.java:1111)
at oracle.jdbc.driver.OraclePreparedStatement.executeInternal(OraclePreparedStatement.java:4798)
at oracle.jdbc.driver.OraclePreparedStatement.executeQuery(OraclePreparedStatement.java:4845)
at oracle.jdbc.driver.OraclePreparedStatementWrapper.executeQuery(OraclePreparedStatementWrapper.java:1501)
at org.apache.sqoop.mapreduce.db.DBRecordReader.executeQuery(DBRecordReader.java:111)
at org.apache.sqoop.mapreduce.db.DBRecordReader.nextKeyValue(DBRecordReader.java:235)
... 12 more
Error: java.io.IOException: SQLException in nextKeyValue
at org.apache.sqoop.mapreduce.db.DBRecordReader.nextKeyValue(DBRecordReader.java:277)
at org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.nextKeyValue(MapTask.java:556)
at org.apache.hadoop.mapreduce.task.MapContextImpl.nextKeyValue(MapContextImpl.java:80)
at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.nextKeyValue(WrappedMapper.java:91)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144)
at org.apache.sqoop.mapreduce.AutoProgressMapper.run(AutoProgressMapper.java:64)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)原因，在使用left join的时候使用了别名。而split-by字段，没有指定别名。
<action name="sqoop-jypt-pos-his-zz-node">
<sqoop xmlns="uri:oozie:sqoop-action:0.3">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
<delete path="${wf:actionData('db-shell-node')['misPath']}${wf:actionData('db-shell-node')['time']}pos_his_zz/"/>
</prepare>
<configuration>
<property>
<name>mapred.compress.map.output</name>
<value>true</value>
</property>
</configuration>
<arg>import</arg>
<arg>--connect</arg>
<arg>${wf:actionData('db-shell-node')['mis_oracle']}</arg>
<arg>--username</arg>
<arg>${wf:actionData('db-shell-node')['mis_oracle_jypt_username']}</arg>
<arg>--password</arg>
<arg>${wf:actionData('db-shell-node')['mis_oracle_jypt_password']}</arg>
<arg>--query</arg>
<arg>select t.storecode,t.jysj,t.syjh,t.jyh,t.syyh,t.dsyyh,b.cid,t.jyje,t.jyjf,t.thyy,t.jysbm from pos_his_zz t left join sjpt.DA_MMC_CARD_TG b on t.cid||t.ccd = b.cardcode where t.optime >= to_date('${wf:actionData('db-shell-node')['sql_time']}', 'yyyy-mm-ddhh24:mi:ss') and t.optime <= to_date('${wf:actionData('db-shell-node')['sql_time']}', 'yyyy-mm-ddhh24:mi:ss')+1 and $CONDITIONS</arg>
<arg>--split-by</arg>
<arg>t.storecode</arg>
<arg>--null-string</arg>
<arg>\\N</arg>
<arg>--null-non-string</arg>
<arg>\\N</arg>
<arg>--fields-terminated-by</arg>
<arg>^</arg>
<arg>--target-dir</arg>
<arg>${wf:actionData('db-shell-node')['misPath']}${wf:actionData('db-shell-node')['time']}pos_his_zz/</arg>
<arg>--mapreduce-job-name</arg>
<arg>pos_his_zz_sqoop</arg>
</sqoop>
<ok to="end"/>
<error to="fail"/>
</action>至于为什么在sqoop中好使，这个有时间看看源码吧。
另外，Oozie在使用时间字段进行split-by的时候也会报错！
原因
在sqoop中有一个参数-m可以设置sqoop任务的并行度，默认是4。如果设置了多个并行度，sqoop就会根据split-by指定的参数拼接sql进行任务的切分。上面的例子中就没有设置-m参数，因此需要根据split-by指定的字段进行切分，拼接出来的sql由于没有设置别名而报错。但是之前在shell里面，-m别设置成了1，相当于忽略split-by参数，因此无论怎么写都不会报错。
