[jira] [Commented] (SPARK-21677) json_tuple throws NullPointException when column is null as string type.

2017-08-18 Thread Hyukjin Kwon (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-21677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16133091#comment-16133091
 ] 

Hyukjin Kwon commented on SPARK-21677:
--

Issue resolved by pull request 18930
https://github.com/apache/spark/pull/18930

> json_tuple throws NullPointException when column is null as string type.
> 
>
> Key: SPARK-21677
> URL: https://issues.apache.org/jira/browse/SPARK-21677
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0
>Reporter: Hyukjin Kwon
>Assignee: Jen-Ming Chung
>Priority: Minor
>  Labels: Starter
> Fix For: 2.3.0
>
>
> I was testing {{json_tuple}} before using this to extract values from JSONs 
> in my testing cluster but I found it could actually throw  
> {{NullPointException}} as below sometimes:
> {code}
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Hyukjin'))").show()
> +---+
> | c0|
> +---+
> |224|
> +---+
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Jackson'))").show()
> ++
> |  c0|
> ++
> |null|
> ++
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(null))").show()
> ...
> java.lang.NullPointerException
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:367)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:366)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
>   at scala.collection.AbstractTraversable.map(Traversable.scala:104)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames$lzycompute(jsonExpressions.scala:366)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames(jsonExpressions.scala:365)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields$lzycompute(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.org$apache$spark$sql$catalyst$expressions$JsonTuple$$parseRow(jsonExpressions.scala:417)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:401)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:400)
>   at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2559)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.eval(jsonExpressions.scala:400)
> {code}
> It sounds we should show explicit error messages or return {{NULL}}.



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[jira] [Commented] (SPARK-21677) json_tuple throws NullPointException when column is null as string type.

2017-08-10 Thread Liang-Chi Hsieh (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-21677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16121740#comment-16121740
 ] 

Liang-Chi Hsieh commented on SPARK-21677:
-

As a given field name {{null}} can't be matched with any field names in json, 
we just output {{null}} as its column value. I think it's reasonable.

> json_tuple throws NullPointException when column is null as string type.
> 
>
> Key: SPARK-21677
> URL: https://issues.apache.org/jira/browse/SPARK-21677
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0
>Reporter: Hyukjin Kwon
>Priority: Minor
>  Labels: Starter
>
> I was testing {{json_tuple}} before using this to extract values from JSONs 
> in my testing cluster but I found it could actually throw  
> {{NullPointException}} as below sometimes:
> {code}
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Hyukjin'))").show()
> +---+
> | c0|
> +---+
> |224|
> +---+
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Jackson'))").show()
> ++
> |  c0|
> ++
> |null|
> ++
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(null))").show()
> ...
> java.lang.NullPointerException
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:367)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:366)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
>   at scala.collection.AbstractTraversable.map(Traversable.scala:104)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames$lzycompute(jsonExpressions.scala:366)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames(jsonExpressions.scala:365)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields$lzycompute(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.org$apache$spark$sql$catalyst$expressions$JsonTuple$$parseRow(jsonExpressions.scala:417)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:401)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:400)
>   at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2559)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.eval(jsonExpressions.scala:400)
> {code}
> It sounds we should show explicit error messages or return {{NULL}}.



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[jira] [Commented] (SPARK-21677) json_tuple throws NullPointException when column is null as string type.

2017-08-10 Thread Hyukjin Kwon (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-21677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16121658#comment-16121658
 ] 

Hyukjin Kwon commented on SPARK-21677:
--

[~cjm], I was thinking like

{code}
spark.sql("""SELECT json_tuple('{"a":1, "b":2}', cast(NULL AS STRING), 'b', 
cast(NULL AS STRING), 'a');""").show()

++---++---+
|  c0| c1|  c2| c3|
++---++---+
|null|  2|null|  1|
++---++---+
{code}

I think this could be at least consistent with Hive's implementation:

{code}
hive> SELECT json_tuple('{"a":1, "b":2}', cast(NULL AS STRING), 'b', cast(NULL 
AS STRING), 'a');
...
NULL2   NULL1
{code}

> json_tuple throws NullPointException when column is null as string type.
> 
>
> Key: SPARK-21677
> URL: https://issues.apache.org/jira/browse/SPARK-21677
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0
>Reporter: Hyukjin Kwon
>Priority: Minor
>  Labels: Starter
>
> I was testing {{json_tuple}} before using this to extract values from JSONs 
> in my testing cluster but I found it could actually throw  
> {{NullPointException}} as below sometimes:
> {code}
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Hyukjin'))").show()
> +---+
> | c0|
> +---+
> |224|
> +---+
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Jackson'))").show()
> ++
> |  c0|
> ++
> |null|
> ++
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(null))").show()
> ...
> java.lang.NullPointerException
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:367)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:366)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
>   at scala.collection.AbstractTraversable.map(Traversable.scala:104)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames$lzycompute(jsonExpressions.scala:366)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames(jsonExpressions.scala:365)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields$lzycompute(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.org$apache$spark$sql$catalyst$expressions$JsonTuple$$parseRow(jsonExpressions.scala:417)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:401)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:400)
>   at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2559)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.eval(jsonExpressions.scala:400)
> {code}
> It sounds we should show explicit error messages or return {{NULL}}.



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[jira] [Commented] (SPARK-21677) json_tuple throws NullPointException when column is null as string type.

2017-08-10 Thread Jen-Ming Chung (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-21677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16121641#comment-16121641
 ] 

Jen-Ming Chung commented on SPARK-21677:


to [~hyukjin.kwon], the return {{NULL}} you mentioned does it means all fields 
should be null in json_tuple, or just the non-existence field as shown in the 
following. Thanks!

{code:language=scala|borderStyle=solid}
e.g., spark.sql("""SELECT json_tuple('{"a":1, "b":2}', 'a', 'b', 
'not_exising_fields')""").show()

+---+---++
| c0| c1|  c2|
+---+---++
|  1|  2|null|
+---+---++
{code}



> json_tuple throws NullPointException when column is null as string type.
> 
>
> Key: SPARK-21677
> URL: https://issues.apache.org/jira/browse/SPARK-21677
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0
>Reporter: Hyukjin Kwon
>Priority: Minor
>  Labels: Starter
>
> I was testing {{json_tuple}} before using this to extract values from JSONs 
> in my testing cluster but I found it could actually throw  
> {{NullPointException}} as below sometimes:
> {code}
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Hyukjin'))").show()
> +---+
> | c0|
> +---+
> |224|
> +---+
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Jackson'))").show()
> ++
> |  c0|
> ++
> |null|
> ++
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(null))").show()
> ...
> java.lang.NullPointerException
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:367)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:366)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
>   at scala.collection.AbstractTraversable.map(Traversable.scala:104)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames$lzycompute(jsonExpressions.scala:366)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames(jsonExpressions.scala:365)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields$lzycompute(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.org$apache$spark$sql$catalyst$expressions$JsonTuple$$parseRow(jsonExpressions.scala:417)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:401)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:400)
>   at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2559)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.eval(jsonExpressions.scala:400)
> {code}
> It sounds we should show explicit error messages or return {{NULL}}.



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[jira] [Commented] (SPARK-21677) json_tuple throws NullPointException when column is null as string type.

2017-08-09 Thread Liang-Chi Hsieh (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-21677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16119928#comment-16119928
 ] 

Liang-Chi Hsieh commented on SPARK-21677:
-

[~hyukjin.kwon] Thanks! Definitely we are interested in this. We will work on 
this.

> json_tuple throws NullPointException when column is null as string type.
> 
>
> Key: SPARK-21677
> URL: https://issues.apache.org/jira/browse/SPARK-21677
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0
>Reporter: Hyukjin Kwon
>Priority: Minor
>  Labels: Starter
>
> I was testing {{json_tuple}} before using this to extract values from JSONs 
> in my testing cluster but I found it could actually throw  
> {{NullPointException}} as below sometimes:
> {code}
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Hyukjin'))").show()
> +---+
> | c0|
> +---+
> |224|
> +---+
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Jackson'))").show()
> ++
> |  c0|
> ++
> |null|
> ++
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(null))").show()
> ...
> java.lang.NullPointerException
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:367)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:366)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
>   at scala.collection.AbstractTraversable.map(Traversable.scala:104)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames$lzycompute(jsonExpressions.scala:366)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames(jsonExpressions.scala:365)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields$lzycompute(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.org$apache$spark$sql$catalyst$expressions$JsonTuple$$parseRow(jsonExpressions.scala:417)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:401)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:400)
>   at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2559)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.eval(jsonExpressions.scala:400)
> {code}
> It sounds we should show explicit error messages or return {{NULL}}.



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[jira] [Commented] (SPARK-21677) json_tuple throws NullPointException when column is null as string type.

2017-08-09 Thread Hyukjin Kwon (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-21677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16119891#comment-16119891
 ] 

Hyukjin Kwon commented on SPARK-21677:
--

cc [~viirya], I remember your mentee was checking through JSON related code 
paths. Does this make sense to you and would you be interested in this?

> json_tuple throws NullPointException when column is null as string type.
> 
>
> Key: SPARK-21677
> URL: https://issues.apache.org/jira/browse/SPARK-21677
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0
>Reporter: Hyukjin Kwon
>Priority: Minor
>  Labels: Starter
>
> I was testing {{json_tuple}} before using this to extract values from JSONs 
> in my testing cluster but I found it could actually throw  
> {{NullPointException}} as below sometimes:
> {code}
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Hyukjin'))").show()
> +---+
> | c0|
> +---+
> |224|
> +---+
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Jackson'))").show()
> ++
> |  c0|
> ++
> |null|
> ++
> scala> Seq(("""{"Hyukjin": 224, "John": 
> 1225}""")).toDS.selectExpr("json_tuple(value, trim(null))").show()
> ...
> java.lang.NullPointerException
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:367)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:366)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>   at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>   at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
>   at scala.collection.AbstractTraversable.map(Traversable.scala:104)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames$lzycompute(jsonExpressions.scala:366)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames(jsonExpressions.scala:365)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields$lzycompute(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields(jsonExpressions.scala:373)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.org$apache$spark$sql$catalyst$expressions$JsonTuple$$parseRow(jsonExpressions.scala:417)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:401)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:400)
>   at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2559)
>   at 
> org.apache.spark.sql.catalyst.expressions.JsonTuple.eval(jsonExpressions.scala:400)
> {code}
> It sounds we should show explicit error messages or return {{NULL}}.



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