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From "xiaoyu chen (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-15376) DataFrame write.jdbc() inserts more rows than acutal
Date Wed, 18 May 2016 04:00:15 GMT
xiaoyu chen created SPARK-15376:
-----------------------------------

             Summary: DataFrame write.jdbc() inserts more rows than acutal
                 Key: SPARK-15376
                 URL: https://issues.apache.org/jira/browse/SPARK-15376
             Project: Spark
          Issue Type: Bug
    Affects Versions: 1.4.1
         Environment: CentOS 6 cluster mode
Cores: 300 (300 granted, 0 left)
Executor Memory: 45.0 GB
Submit Date: Wed May 18 10:26:40 CST 2016
            Reporter: xiaoyu chen


It's a odd bug, occur under this situation:
    
{code:title=Bar.scala}
    val rddRaw = sc.textFile("xxx").map(xxx).sample(false, 0.15)
    println(rddRaw.count())    // the actual rows insert to mysql is more than rdd's record
num. In my case, is 239994 (rdd),  ~241300 (database inserted)

    // iter all rows in another way, if drop the Range for loop, the bug wouldn't occur
    for(some_id <- Range(some_ids_all_range)){
      rddRaw.filter(_._2 == some_id).randomSplit(Array(x, x, x,))
      .foreach( rd => {
      // val curCnt = rd.count()  // if invoke count() on rd before write, it would be ok
          rd.map(x => new TestRow(null, xxx)).toDF().write.mode(SaveMode.Append).jdbc(xxx)
        }
      )
    }
{code}





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