[ 
https://issues.apache.org/jira/browse/SPARK-6887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yin Huai updated SPARK-6887:
----------------------------
    Description: 
To reproduce ...
{code}
import org.apache.spark.sql.types._
import org.apache.spark.sql.Row

val schema = StructType(StructField("c", FloatType, true) :: Nil)

val rdd = sc.parallelize(1 to 100).map(i => Row(i.toFloat))

sqlContext.createDataFrame(rdd, schema).registerTempTable("test")

sqlContext.sql("cache table test")

sqlContext.table("test").show
{code}
The exception is ...
{code}
15/04/13 15:00:12 INFO DAGScheduler: Job 0 failed: collect at 
SparkPlan.scala:88, took 0.474392 s
org.apache.spark.SparkException: Job aborted due to stage failure: Task 5 in 
stage 0.0 failed 1 times, most recent failure: Lost task 5.0 in stage 0.0 (TID 
5, localhost): java.lang.ClassCastException: 
org.apache.spark.sql.catalyst.expressions.MutableFloat cannot be cast to 
org.apache.spark.sql.catalyst.expressions.MutableLong
        at 
org.apache.spark.sql.catalyst.expressions.SpecificMutableRow.setLong(SpecificMutableRow.scala:292)
        at 
org.apache.spark.sql.columnar.compression.LongDelta$Decoder.next(compressionSchemes.scala:539)
        at 
org.apache.spark.sql.columnar.compression.CompressibleColumnAccessor$class.extractSingle(CompressibleColumnAccessor.scala:37)
        at 
org.apache.spark.sql.columnar.NativeColumnAccessor.extractSingle(ColumnAccessor.scala:64)
        at 
org.apache.spark.sql.columnar.BasicColumnAccessor.extractTo(ColumnAccessor.scala:54)
        at 
org.apache.spark.sql.columnar.NativeColumnAccessor.org$apache$spark$sql$columnar$NullableColumnAccessor$$super$extractTo(ColumnAccessor.scala:64)
        at 
org.apache.spark.sql.columnar.NullableColumnAccessor$class.extractTo(NullableColumnAccessor.scala:52)
        at 
org.apache.spark.sql.columnar.NativeColumnAccessor.extractTo(ColumnAccessor.scala:64)
        at 
org.apache.spark.sql.columnar.InMemoryColumnarTableScan$$anonfun$8$$anonfun$13$$anon$2.next(InMemoryColumnarTableScan.scala:295)
        at 
org.apache.spark.sql.columnar.InMemoryColumnarTableScan$$anonfun$8$$anonfun$13$$anon$2.next(InMemoryColumnarTableScan.scala:290)
        at scala.collection.Iterator$$anon$13.next(Iterator.scala:372)
        at 
org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:130)
        at 
org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:126)
        at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:640)
        at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:640)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:64)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:210)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
{code}

> ColumnBuilder misses FloatType
> ------------------------------
>
>                 Key: SPARK-6887
>                 URL: https://issues.apache.org/jira/browse/SPARK-6887
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.0
>            Reporter: Yin Huai
>            Assignee: Yin Huai
>             Fix For: 1.4.0
>
>
> To reproduce ...
> {code}
> import org.apache.spark.sql.types._
> import org.apache.spark.sql.Row
> val schema = StructType(StructField("c", FloatType, true) :: Nil)
> val rdd = sc.parallelize(1 to 100).map(i => Row(i.toFloat))
> sqlContext.createDataFrame(rdd, schema).registerTempTable("test")
> sqlContext.sql("cache table test")
> sqlContext.table("test").show
> {code}
> The exception is ...
> {code}
> 15/04/13 15:00:12 INFO DAGScheduler: Job 0 failed: collect at 
> SparkPlan.scala:88, took 0.474392 s
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 5 in 
> stage 0.0 failed 1 times, most recent failure: Lost task 5.0 in stage 0.0 
> (TID 5, localhost): java.lang.ClassCastException: 
> org.apache.spark.sql.catalyst.expressions.MutableFloat cannot be cast to 
> org.apache.spark.sql.catalyst.expressions.MutableLong
>       at 
> org.apache.spark.sql.catalyst.expressions.SpecificMutableRow.setLong(SpecificMutableRow.scala:292)
>       at 
> org.apache.spark.sql.columnar.compression.LongDelta$Decoder.next(compressionSchemes.scala:539)
>       at 
> org.apache.spark.sql.columnar.compression.CompressibleColumnAccessor$class.extractSingle(CompressibleColumnAccessor.scala:37)
>       at 
> org.apache.spark.sql.columnar.NativeColumnAccessor.extractSingle(ColumnAccessor.scala:64)
>       at 
> org.apache.spark.sql.columnar.BasicColumnAccessor.extractTo(ColumnAccessor.scala:54)
>       at 
> org.apache.spark.sql.columnar.NativeColumnAccessor.org$apache$spark$sql$columnar$NullableColumnAccessor$$super$extractTo(ColumnAccessor.scala:64)
>       at 
> org.apache.spark.sql.columnar.NullableColumnAccessor$class.extractTo(NullableColumnAccessor.scala:52)
>       at 
> org.apache.spark.sql.columnar.NativeColumnAccessor.extractTo(ColumnAccessor.scala:64)
>       at 
> org.apache.spark.sql.columnar.InMemoryColumnarTableScan$$anonfun$8$$anonfun$13$$anon$2.next(InMemoryColumnarTableScan.scala:295)
>       at 
> org.apache.spark.sql.columnar.InMemoryColumnarTableScan$$anonfun$8$$anonfun$13$$anon$2.next(InMemoryColumnarTableScan.scala:290)
>       at scala.collection.Iterator$$anon$13.next(Iterator.scala:372)
>       at 
> org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:130)
>       at 
> org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:126)
>       at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:640)
>       at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:640)
>       at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
>       at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
>       at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
>       at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
>       at org.apache.spark.scheduler.Task.run(Task.scala:64)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:210)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>       at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>       at java.lang.Thread.run(Thread.java:745)
> {code}



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