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https://issues.apache.org/jira/browse/SPARK-11827?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15014042#comment-15014042
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kevin yu commented on SPARK-11827:
----------------------------------
I think I can recreate the problem now. I am looking into the code.
scala.MatchError: 1234567 (of class java.math.BigInteger)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toCatalystImpl(CatalystTypeConverters.scala:255)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toCatalystImpl(CatalystTypeConverters.scala:250)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:102)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$2.apply(CatalystTypeConverters.scala:401)
at
org.apache.spark.sql.SQLContext$$anonfun$org$apache$spark$sql$SQLContext$$beansToRows$1$$anonfun$apply$1.apply(SQLContext.scala:1314)
at
org.apache.spark.sql.SQLContext$$anonfun$org$apache$spark$sql$SQLContext$$beansToRows$1$$anonfun$apply$1.apply(SQLContext.scala:1314)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> Support java.math.BigInteger in Type-Inference utilities for POJOs
> ------------------------------------------------------------------
>
> Key: SPARK-11827
> URL: https://issues.apache.org/jira/browse/SPARK-11827
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.5.1
> Reporter: Abhilash Srimat Tirumala Pallerlamudi
> Priority: Minor
>
> I get the below exception when creating DataFrame using RDD of JavaBean
> having a property of type java.math.BigInteger
> scala.MatchError: class java.math.BigInteger (of class java.lang.Class)
> at
> org.apache.spark.sql.SQLContext$$anonfun$getSchema$1.apply(SQLContext.scala:1182)
> at
> org.apache.spark.sql.SQLContext$$anonfun$getSchema$1.apply(SQLContext.scala:1181)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
> at
> scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
> at org.apache.spark.sql.SQLContext.getSchema(SQLContext.scala:1181)
> at
> org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:419)
> at
> org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:447)
> I don't see the support for java.math.BigInteger in
> org.apache.spark.sql.catalyst.JavaTypeInference.scala
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