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https://issues.apache.org/jira/browse/SQOOP-1862?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14238974#comment-14238974
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Veena Basavaraj commented on SQOOP-1862:
----------------------------------------
Ok sine you updated the ticket with more details, it seems like the first step
is writing the data to HDFS with quotes for date.
So second step, reading this from HDFS should be fine, writing to jdbc uses
{code}readArrayRecord{code}, so this means we are reading JODA date object,(
LocalDate to be precise).
So does jdbc now know a way to convert this back to sql.date? looks like this
code is missing:)
> 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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