[ERROR] Query failed in native engine blaze: Job aborted due to stage failure: Task 0 in stage 8073.0 failed 1 times, most recent failure: Lost task 0.0 in stage 8073.0 (TID 5606) (fv-az1945-468.r3m3350mam0ergycvke4vbykda.phxx.internal.cloudapp.net executor driver): java.lang.RuntimeException: poll record batch error: Execution error: native execution panics: Execution error: Execution error: output_with_sender[Project] error: Execution error: output_with_sender[Project]: output() returns error: Execution error: Unsupported data type Int64 for function floor
	at org.apache.spark.sql.blaze.JniBridge.nextBatch(Native Method)
	at org.apache.spark.sql.blaze.BlazeCallNativeWrapper$$anon$1.hasNext(BlazeCallNativeWrapper.scala:80)
	at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:41)
	at org.apache.spark.RangePartitioner$.$anonfun$sketch$1(Partitioner.scala:322)
	at org.apache.spark.RangePartitioner$.$anonfun$sketch$1$adapted(Partitioner.scala:320)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:910)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:910)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)

create table t1 using parquet as select 1L as c1;
select floor(c1), from t1;