[jira] [Updated] (SPARK-18284) Scheme of DataFrame generated from RDD is diffrent between master and 2.0

2016-12-05 Thread Reynold Xin (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-18284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Reynold Xin updated SPARK-18284:

Fix Version/s: (was: 2.1.0)
   2.2.0

> Scheme of DataFrame generated from RDD is diffrent between master and 2.0
> -
>
> Key: SPARK-18284
> URL: https://issues.apache.org/jira/browse/SPARK-18284
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.1.0, 2.2.0
>Reporter: Kazuaki Ishizaki
>Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0
>
>
> When the following program is executed, a schema of dataframe is different 
> among master, branch 2.0, and branch 2.1. The result should be false.
> {code:java}
> val df = sparkContext.parallelize(1 to 8, 1).toDF()
> df.printSchema
> df.filter("value > 4").count
> === master ===
> root
>  |-- value: integer (nullable = true)
> === branch 2.1 ===
> root
>  |-- value: integer (nullable = true)
> === branch 2.0 ===
> root
>  |-- value: integer (nullable = false)
> {code}



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[jira] [Updated] (SPARK-18284) Scheme of DataFrame generated from RDD is diffrent between master and 2.0

2016-12-01 Thread Wenchen Fan (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-18284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan updated SPARK-18284:

Assignee: Kazuaki Ishizaki

> Scheme of DataFrame generated from RDD is diffrent between master and 2.0
> -
>
> Key: SPARK-18284
> URL: https://issues.apache.org/jira/browse/SPARK-18284
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.1.0, 2.2.0
>Reporter: Kazuaki Ishizaki
>Assignee: Kazuaki Ishizaki
> Fix For: 2.1.0
>
>
> When the following program is executed, a schema of dataframe is different 
> among master, branch 2.0, and branch 2.1. The result should be false.
> {code:java}
> val df = sparkContext.parallelize(1 to 8, 1).toDF()
> df.printSchema
> df.filter("value > 4").count
> === master ===
> root
>  |-- value: integer (nullable = true)
> === branch 2.1 ===
> root
>  |-- value: integer (nullable = true)
> === branch 2.0 ===
> root
>  |-- value: integer (nullable = false)
> {code}



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[jira] [Updated] (SPARK-18284) Scheme of DataFrame generated from RDD is diffrent between master and 2.0

2016-11-04 Thread Kazuaki Ishizaki (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-18284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Kazuaki Ishizaki updated SPARK-18284:
-
Description: 
When the following program is executed, a schema of dataframe is different 
among master, branch 2.0, and branch 2.1. The result should be false.

{code:java}
val df = sparkContext.parallelize(1 to 8, 1).toDF()
df.printSchema
df.filter("value > 4").count

=== master ===
root
 |-- value: integer (nullable = true)

=== branch 2.1 ===
root
 |-- value: integer (nullable = true)

=== branch 2.0 ===
root
 |-- value: integer (nullable = false)
{code}

  was:
When the following program is executed, a schema of dataframe is different 
between master and branch 2.0. The result should be false.

{code:java}
val df = sparkContext.parallelize(1 to 8, 1).toDF()
df.printSchema
df.filter("value > 4").count

=== master ===
root
 |-- value: integer (nullable = true)

=== branch 2.0 ===
root
 |-- value: integer (nullable = false)
{code}


> Scheme of DataFrame generated from RDD is diffrent between master and 2.0
> -
>
> Key: SPARK-18284
> URL: https://issues.apache.org/jira/browse/SPARK-18284
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.1.0, 2.2.0
>Reporter: Kazuaki Ishizaki
>
> When the following program is executed, a schema of dataframe is different 
> among master, branch 2.0, and branch 2.1. The result should be false.
> {code:java}
> val df = sparkContext.parallelize(1 to 8, 1).toDF()
> df.printSchema
> df.filter("value > 4").count
> === master ===
> root
>  |-- value: integer (nullable = true)
> === branch 2.1 ===
> root
>  |-- value: integer (nullable = true)
> === branch 2.0 ===
> root
>  |-- value: integer (nullable = false)
> {code}



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[jira] [Updated] (SPARK-18284) Scheme of DataFrame generated from RDD is diffrent between master and 2.0

2016-11-04 Thread Kazuaki Ishizaki (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-18284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Kazuaki Ishizaki updated SPARK-18284:
-
Affects Version/s: 2.1.0

> Scheme of DataFrame generated from RDD is diffrent between master and 2.0
> -
>
> Key: SPARK-18284
> URL: https://issues.apache.org/jira/browse/SPARK-18284
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.1.0, 2.2.0
>Reporter: Kazuaki Ishizaki
>
> When the following program is executed, a schema of dataframe is different 
> among master, branch 2.0, and branch 2.1. The result should be false.
> {code:java}
> val df = sparkContext.parallelize(1 to 8, 1).toDF()
> df.printSchema
> df.filter("value > 4").count
> === master ===
> root
>  |-- value: integer (nullable = true)
> === branch 2.1 ===
> root
>  |-- value: integer (nullable = true)
> === branch 2.0 ===
> root
>  |-- value: integer (nullable = false)
> {code}



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