[
https://issues.apache.org/jira/browse/SPARK-17806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Josh Rosen updated SPARK-17806:
-------------------------------
Labels: correctness (was: )
> 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
> Priority: Critical
> 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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