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https://issues.apache.org/jira/browse/SQOOP-1862?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14239420#comment-14239420
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Gwen Shapira commented on SQOOP-1862:
-------------------------------------
Regarding HDFS connector - it is intentionally doing setText without validating
the data, because it has no knowledge of the schema:
i.e. the line it just read from a file could be a CSV with meaningful columns
and objects or it could be a single string containing a JSON or a blog post.
We want HDFS connector to support whatever the user chose to put in the file,
and shift the responsibility to the TO connector to make sense of it (also
known as schema-on-read).
> Sqoop2: Unable to export data to jdbc database
> ----------------------------------------------
>
> Key: SQOOP-1862
> URL: https://issues.apache.org/jira/browse/SQOOP-1862
> Project: Sqoop
> Issue Type: Bug
> Affects Versions: 1.99.5
> Reporter: Qian Xu
>
> I did a round-trip data import test with unexpected results.
> 1. I used JdbcConnector as FROM and HdfsConnector as TO. Data (200k records)
> was written onto HDFS expectedly.
> 2. I used HdfsConnector as FROm and JdbcConnector as TO. Data is expected to
> be written into an empty mysql table. Schema is exactly the same as it is in
> step 1.
> Now the progress is blocked at 0%. Here is the error message:
> {code}
> 2014-12-09 12:17:23,653 ERROR [OutputFormatLoader-consumer]
> org.apache.sqoop.job.mr.SqoopOutputFormatLoadExecutor: Error while loading
> data out of MR job.
> org.apache.sqoop.common.SqoopException: GENERIC_JDBC_CONNECTOR_0002:Unable to
> execute the SQL statement
> at
> org.apache.sqoop.connector.jdbc.GenericJdbcExecutor.executeBatch(GenericJdbcExecutor.java:189)
> at
> org.apache.sqoop.connector.jdbc.GenericJdbcLoader.load(GenericJdbcLoader.java:58)
> at
> org.apache.sqoop.connector.jdbc.GenericJdbcLoader.load(GenericJdbcLoader.java:25)
> at
> org.apache.sqoop.job.mr.SqoopOutputFormatLoadExecutor$ConsumerThread.run(SqoopOutputFormatLoadExecutor.java:249)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> 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)
> Caused by: java.sql.BatchUpdateException: Data truncation: Incorrect date
> value: '’' for column 'date' at row 1
> at
> com.mysql.jdbc.PreparedStatement.executeBatchSerially(PreparedStatement.java:1981)
> at
> com.mysql.jdbc.PreparedStatement.executeBatch(PreparedStatement.java:1388)
> at
> org.apache.sqoop.connector.jdbc.GenericJdbcExecutor.executeBatch(GenericJdbcExecutor.java:183)
> ... 8 more
> Caused by: com.mysql.jdbc.MysqlDataTruncation: Data truncation: Incorrect
> date value: '’' for column 'date' at row 1
> at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4224)
> at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4158)
> at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2615)
> at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2776)
> at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2840)
> at
> com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2082)
> at
> com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:2334)
> at
> com.mysql.jdbc.PreparedStatement.executeBatchSerially(PreparedStatement.java:1933)
> ... 10 more
> {code}
> The date type of the column is "DATE". Dumped context looks like
> "20014-10-10". It seems the field value is not correct. "’" stands for ascii
> code 170 and 161.
> Here is the schema in MySQL:
> {code}
> CREATE TABLE IF NOT EXISTS `test_table1` (
> `id` int(11) NOT NULL AUTO_INCREMENT,
> `date` date NOT NULL,
> `file_id` int(11) NOT NULL,
> `count` int(10) unsigned NOT NULL,
> PRIMARY KEY (`id`),
> KEY `test_table1_80945c99` (`file_id`)
> ) ENGINE=MyISAM DEFAULT CHARSET=utf8;
> {code}
> Here is data snippet in HDFS:
> {code}
> 51778,'2014-10-10',493,2801571
> 51779,'2014-10-10',494,388826
> 51780,'2014-10-10',495,143153
> 51781,'2014-10-10',496,317225
> 51782,'2014-10-10',497,290522
> 51783,'2014-10-10',498,288734
> {code}
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