[jira] [Assigned] (SPARK-17806) Incorrect result when work with data from parquet

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-17806:
------------------------------------

    Assignee: Apache Spark  (was: Davies Liu)

> Incorrect result when work with data from parquet
> -------------------------------------------------
>
>                 Key: SPARK-17806
>                 URL: https://issues.apache.org/jira/browse/SPARK-17806
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.0, 2.0.1
>            Reporter: Vitaly Gerasimov
>            Assignee: Apache Spark
>            Priority: Blocker
>              Labels: correctness
>
> {code}
>   import org.apache.spark.SparkConf
>   import org.apache.spark.sql.SparkSession
>   import org.apache.spark.sql.types.{StructField, StructType}
>   import org.apache.spark.sql.types.DataTypes._
>   val sc = SparkSession.builder().config(new SparkConf().setMaster("local")).getOrCreate()
>   val jsonRDD = sc.sparkContext.parallelize(Seq(
>     """{"a":1,"b":1,"c":1}""",
>     """{"a":1,"b":1,"c":2}"""
>   ))
>   sc.read.schema(StructType(Seq(
>     StructField("a", IntegerType),
>     StructField("b", IntegerType),
>     StructField("c", LongType)
>   ))).json(jsonRDD).write.parquet("/tmp/test")
>   val df = sc.read.load("/tmp/test")
>   df.join(df, Seq("a", "b", "c"), "left_outer").show()
> {code}
> returns:
> {code}
> +---+---+---+
> |  a|  b|  c|
> +---+---+---+
> |  1|  1|  1|
> |  1|  1|  1|
> |  1|  1|  2|
> |  1|  1|  2|
> +---+---+---+
> {code}
> Expected result:
> {code}
> +---+---+---+
> |  a|  b|  c|
> +---+---+---+
> |  1|  1|  1|
> |  1|  1|  2|
> +---+---+---+
> {code}
> If I use this code without saving to parquet it works fine. If you change type of `c` column to `IntegerType` it also works fine.



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