[jira] [Assigned] (SPARK-19595) from_json produces only a single row when input is a json array

2017-03-05 Thread Burak Yavuz (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-19595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Burak Yavuz reassigned SPARK-19595:
---

Assignee: Hyukjin Kwon

> from_json produces only a single row when input is a json array
> ---
>
> Key: SPARK-19595
> URL: https://issues.apache.org/jira/browse/SPARK-19595
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.2.0
>Reporter: Hyukjin Kwon
>Assignee: Hyukjin Kwon
>Priority: Minor
> Fix For: 2.2.0
>
>
> Currently, {{from_json}} reads a single row when it is a json array. For 
> example,
> {code}
> import org.apache.spark.sql.functions._
> import org.apache.spark.sql.types._
> val schema = StructType(StructField("a", IntegerType) :: Nil)
> Seq(("""[{"a": 1}, {"a": 
> 2}]""")).toDF("struct").select(from_json(col("struct"), schema)).show()
> ++
> |jsontostruct(struct)|
> ++
> | [1]|
> ++
> {code}
> Maybe we should not support this in that function or it should work like a 
> generator expression.



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[jira] [Assigned] (SPARK-19595) from_json produces only a single row when input is a json array

2017-02-14 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-19595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-19595:


Assignee: Apache Spark

> from_json produces only a single row when input is a json array
> ---
>
> Key: SPARK-19595
> URL: https://issues.apache.org/jira/browse/SPARK-19595
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.2.0
>Reporter: Hyukjin Kwon
>Assignee: Apache Spark
>Priority: Minor
>
> Currently, {{from_json}} reads a single row when it is a json array. For 
> example,
> {code}
> import org.apache.spark.sql.functions._
> import org.apache.spark.sql.types._
> val schema = StructType(StructField("a", IntegerType) :: Nil)
> Seq(("""[{"a": 1}, {"a": 
> 2}]""")).toDF("struct").select(from_json(col("struct"), schema)).show()
> ++
> |jsontostruct(struct)|
> ++
> | [1]|
> ++
> {code}
> Maybe we should not support this in that function or it should work like a 
> generator expression.



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[jira] [Assigned] (SPARK-19595) from_json produces only a single row when input is a json array

2017-02-14 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-19595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-19595:


Assignee: (was: Apache Spark)

> from_json produces only a single row when input is a json array
> ---
>
> Key: SPARK-19595
> URL: https://issues.apache.org/jira/browse/SPARK-19595
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.2.0
>Reporter: Hyukjin Kwon
>Priority: Minor
>
> Currently, {{from_json}} reads a single row when it is a json array. For 
> example,
> {code}
> import org.apache.spark.sql.functions._
> import org.apache.spark.sql.types._
> val schema = StructType(StructField("a", IntegerType) :: Nil)
> Seq(("""[{"a": 1}, {"a": 
> 2}]""")).toDF("struct").select(from_json(col("struct"), schema)).show()
> ++
> |jsontostruct(struct)|
> ++
> | [1]|
> ++
> {code}
> Maybe we should not support this in that function or it should work like a 
> generator expression.



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