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

2016-10-07 Thread Josh Rosen (JIRA) 

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

Josh Rosen updated SPARK-17806:
---
Component/s: SQL

> 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
>  Components: SQL
>Affects Versions: 2.0.0, 2.0.1
>Reporter: Vitaly Gerasimov
>Assignee: Davies Liu
>Priority: Blocker
>  Labels: correctness
> Fix For: 2.0.2, 2.1.0
>
>
> {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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[jira] [Updated] (SPARK-17806) Incorrect result when work with data from parquet

2016-10-07 Thread Davies Liu (JIRA) 

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

Davies Liu updated SPARK-17806:
---
Priority: Blocker  (was: Critical)

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

2016-10-06 Thread Josh Rosen (JIRA) 

 [ 
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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