Re: How to insert complex types like mapstring,mapstring,int in spark sql

2014-11-26 Thread Takuya UESHIN
Hi,
I guess this is fixed by https://github.com/apache/spark/pull/3110
which is not for complex type casting but makes inserting into hive
table be able to handle complex types ignoring nullability.

I also sent a pull-request (https://github.com/apache/spark/pull/3150)
for complex type casting before.
Please check it if #3110 doesn't work.

Thanks.


2014-11-25 18:37 GMT+09:00 Cheng Lian lian.cs@gmail.com:
 Spark SQL supports complex types, but casting doesn't work for complex types
 right now.


 On 11/25/14 4:04 PM, critikaled wrote:


 https://github.com/apache/spark/blob/84d79ee9ec47465269f7b0a7971176da93c96f3f/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala

 Doesn't look like spark sql support nested complex types right now



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Re: How to insert complex types like mapstring,mapstring,int in spark sql

2014-11-26 Thread Cheng Lian
Thanks Takuya! Will take a look into it later. And sorry for not being 
able to review all the PRs in time recently (mostly because of rushing 
Spark 1.2 release and Thanksgiving :) ).


On 11/27/14 1:35 AM, Takuya UESHIN wrote:

Hi,
I guess this is fixed by https://github.com/apache/spark/pull/3110
which is not for complex type casting but makes inserting into hive
table be able to handle complex types ignoring nullability.

I also sent a pull-request (https://github.com/apache/spark/pull/3150)
for complex type casting before.
Please check it if #3110 doesn't work.

Thanks.


2014-11-25 18:37 GMT+09:00 Cheng Lian lian.cs@gmail.com:

Spark SQL supports complex types, but casting doesn't work for complex types
right now.


On 11/25/14 4:04 PM, critikaled wrote:


https://github.com/apache/spark/blob/84d79ee9ec47465269f7b0a7971176da93c96f3f/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala

Doesn't look like spark sql support nested complex types right now



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Re: How to insert complex types like mapstring,mapstring,int in spark sql

2014-11-25 Thread critikaled
https://github.com/apache/spark/blob/84d79ee9ec47465269f7b0a7971176da93c96f3f/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala

Doesn't look like spark sql support nested complex types right now



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Re: How to insert complex types like mapstring,mapstring,int in spark sql

2014-11-25 Thread critikaled
Exactly that seems to be the problem will have to wait for the next release 



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Re: How to insert complex types like mapstring,mapstring,int in spark sql

2014-11-25 Thread Cheng Lian
Spark SQL supports complex types, but casting doesn't work for complex 
types right now.


On 11/25/14 4:04 PM, critikaled wrote:

https://github.com/apache/spark/blob/84d79ee9ec47465269f7b0a7971176da93c96f3f/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala

Doesn't look like spark sql support nested complex types right now



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Re: How to insert complex types like mapstring,mapstring,int in spark sql

2014-11-24 Thread Michael Armbrust
Can you give the full stack trace.  You might be hitting:
https://issues.apache.org/jira/browse/SPARK-4293

On Sun, Nov 23, 2014 at 3:00 PM, critikaled isasmani@gmail.com wrote:

 Hi,
 I am trying to insert particular set of data from rdd  to a hive table I
 have Map[String,Map[String,Int]] in scala which I want to insert into the
 table of mapstring,maplt;string,int I was able to create the table but
 while inserting it says scala.MatchError:
 MapType(StringType,MapType(StringType,IntegerType,true),true) (of class
 org.apache.spark.sql.catalyst.types.MapType) can any one help me with this.
 Thanks in advance.



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Re: How to insert complex types like mapstring,mapstring,int in spark sql

2014-11-24 Thread critikaled
Thanks for the reply Micheal here is the stack trace
org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in
stage 0.0 failed 1 times, most recent failure: Lost task 3.0 in stage 0.0
(TID 3, localhost): scala.MatchError: MapType(StringType,StringType,true)
(of class org.apache.spark.sql.catalyst.types.MapType)
[info]
org.apache.spark.sql.catalyst.expressions.Cast.cast$lzycompute(Cast.scala:247)
[info]
org.apache.spark.sql.catalyst.expressions.Cast.cast(Cast.scala:247)
[info]
org.apache.spark.sql.catalyst.expressions.Cast.eval(Cast.scala:263)
[info]
org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:84)
[info]
org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:66)
[info]
org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:50)
[info] scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
[info] scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
[info]
org.apache.spark.sql.hive.execution.InsertIntoHiveTable.org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1(InsertIntoHiveTable.scala:149)
[info]
org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$1.apply(InsertIntoHiveTable.scala:158)
[info]
org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$1.apply(InsertIntoHiveTable.scala:158)
[info]
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
[info] org.apache.spark.scheduler.Task.run(Task.scala:54)
[info]
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
[info]
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
[info]
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
[info] java.lang.Thread.run(Thread.java:745)
[info] Driver stacktrace:
[info]   at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)
[info]   at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174)
[info]   at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173)
[info]   at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
[info]   at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
[info]   at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173)
[info]   at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
[info]   at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
[info]   at scala.Option.foreach(Option.scala:236)
[info]   at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688)




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How to insert complex types like mapstring,mapstring,int in spark sql

2014-11-23 Thread critikaled
Hi,
I am trying to insert particular set of data from rdd  to a hive table I
have Map[String,Map[String,Int]] in scala which I want to insert into the
table of mapstring,maplt;string,int I was able to create the table but
while inserting it says scala.MatchError:
MapType(StringType,MapType(StringType,IntegerType,true),true) (of class
org.apache.spark.sql.catalyst.types.MapType) can any one help me with this.
Thanks in advance.



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