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Posted to issues@spark.apache.org by "Glenn Strycker (JIRA)" <ji...@apache.org> on 2015/09/16 18:08:46 UTC
[jira] [Created] (SPARK-10636) RDD filter does not work after
if..then..else RDD blocks
Glenn Strycker created SPARK-10636:
--------------------------------------
Summary: RDD filter does not work after if..then..else RDD blocks
Key: SPARK-10636
URL: https://issues.apache.org/jira/browse/SPARK-10636
Project: Spark
Issue Type: Bug
Components: Spark Core
Reporter: Glenn Strycker
I have an RDD declaration of the following form:
{code}
val myRDD = if (some condition) { tempRDD1.some operations } else { tempRDD2.some operations}.filter(a => a._2._5 <= 50)
{code}
When I output the contents of myRDD, I found entries that clearly had a._2._5 > 50... the filter didn't work!
If I move the filter inside of the if..then blocks, it suddenly does work:
{code}
val myRDD = if (some condition) { tempRDD1.some operations.filter(a => a._2._5 <= 50) } else { tempRDD2.some operations.filter(a => a._2._5 <= 50) }
{code}
I ran toDebugString after both of these code examples, and "filter" does appear in the DAG for the second example, but DOES NOT appear in the first DAG. Why not?
Am I misusing the if..then..else syntax for Spark/Scala?
Here is my actual code... ignore the crazy naming conventions and what it's doing...
{code}
// this does NOT work
val myRDD = if (tempRDD2.count() > 0) {
tempRDD1.
map(a => (a._1._1, (a._1._2, a._2._1, a._2._2))).
leftOuterJoin(tempRDD2).
map(a => (a._2._1._1, (a._1, a._2._1._2, a._2._1._3, a._2._2.getOrElse(1L)))).
leftOuterJoin(tempRDD2).
map(a => ((a._2._1._1, a._1), (a._2._1._2, a._2._1._3, a._2._1._4, a._2._2.getOrElse(1L)))).
map(a =>((List(a._1._1, a._1._2).min, List(a._1._1, a._1._2).max), (a._2._1, a._2._2, if (a._1._1 <= a._1._2) { a._2._3 } else { a._2._4 }, if (a._1._1 <= a._1._2) { a._2._4 } else { a._2._3 }, a._2._3 + a._2._4)))
} else {
tempRDD1.map(a => (a._1, (a._2._1, a._2._2, 1L, 1L, 2L)))
}.
filter(a => a._2._5 <= 50).
partitionBy(partitioner).
setName("myRDD").
persist(StorageLevel.MEMORY_AND_DISK_SER)
myRDD.checkpoint()
println(myRDD.toDebugString)
// (4) MapPartitionsRDD[58] at map at myProgram.scala:2120 []
// | MapPartitionsRDD[57] at map at myProgram.scala:2119 []
// | MapPartitionsRDD[56] at leftOuterJoin at myProgram.scala:2118 []
// | MapPartitionsRDD[55] at leftOuterJoin at myProgram.scala:2118 []
// | CoGroupedRDD[54] at leftOuterJoin at myProgram.scala:2118 []
// +-(4) MapPartitionsRDD[53] at map at myProgram.scala:2117 []
// | | MapPartitionsRDD[52] at leftOuterJoin at myProgram.scala:2116 []
// | | MapPartitionsRDD[51] at leftOuterJoin at myProgram.scala:2116 []
// | | CoGroupedRDD[50] at leftOuterJoin at myProgram.scala:2116 []
// | +-(4) MapPartitionsRDD[49] at map at myProgram.scala:2115 []
// | | | clusterGraphWithComponentsRDD MapPartitionsRDD[28] at reduceByKey at myProgram.scala:1689 []
// | | | CachedPartitions: 4; MemorySize: 1176.0 B; TachyonSize: 0.0 B; DiskSize: 0.0 B
// | | | CheckpointRDD[29] at count at myProgram.scala:1701 []
// | +-(4) clusterStatsRDD MapPartitionsRDD[16] at distinct at myProgram.scala:383 []
// | | CachedPartitions: 4; MemorySize: 824.0 B; TachyonSize: 0.0 B; DiskSize: 0.0 B
// | | CheckpointRDD[17] at count at myProgram.scala:394 []
// +-(4) clusterStatsRDD MapPartitionsRDD[16] at distinct at myProgram.scala:383 []
// | CachedPartitions: 4; MemorySize: 824.0 B; TachyonSize: 0.0 B; DiskSize: 0.0 B
// | CheckpointRDD[17] at count at myProgram.scala:394 []
// this DOES work!
val myRDD = if (tempRDD2.count() > 0) {
tempRDD1.
map(a => (a._1._1, (a._1._2, a._2._1, a._2._2))).
leftOuterJoin(tempRDD2).
map(a => (a._2._1._1, (a._1, a._2._1._2, a._2._1._3, a._2._2.getOrElse(1L)))).
leftOuterJoin(tempRDD2).
map(a => ((a._2._1._1, a._1), (a._2._1._2, a._2._1._3, a._2._1._4, a._2._2.getOrElse(1L)))).
map(a =>((List(a._1._1, a._1._2).min, List(a._1._1, a._1._2).max), (a._2._1, a._2._2, if (a._1._1 <= a._1._2) { a._2._3 } else { a._2._4 }, if (a._1._1 <= a._1._2) { a._2._4 } else { a._2._3 }, a._2._3 + a._2._4))).
filter(a => a._2._5 <= 50)
} else {
tempRDD1.map(a => (a._1, (a._2._1, a._2._2, 1L, 1L, 2L))).
filter(a => a._2._5 <= 50)
}.
partitionBy(partitioner).
setName("myRDD").
persist(StorageLevel.MEMORY_AND_DISK_SER)
myRDD.checkpoint()
println(myRDD.toDebugString)
// (4) MapPartitionsRDD[59] at filter at myProgram.scala:2121 []
// | MapPartitionsRDD[58] at map at myProgram.scala:2120 []
// | MapPartitionsRDD[57] at map at myProgram.scala:2119 []
// | MapPartitionsRDD[56] at leftOuterJoin at myProgram.scala:2118 []
// | MapPartitionsRDD[55] at leftOuterJoin at myProgram.scala:2118 []
// | CoGroupedRDD[54] at leftOuterJoin at myProgram.scala:2118 []
// +-(4) MapPartitionsRDD[53] at map at myProgram.scala:2117 []
// | | MapPartitionsRDD[52] at leftOuterJoin at myProgram.scala:2116 []
// | | MapPartitionsRDD[51] at leftOuterJoin at myProgram.scala:2116 []
// | | CoGroupedRDD[50] at leftOuterJoin at myProgram.scala:2116 []
// | +-(4) MapPartitionsRDD[49] at map at myProgram.scala:2115 []
// | | | clusterGraphWithComponentsRDD MapPartitionsRDD[28] at reduceByKey at myProgram.scala:1689 []
// | | | CachedPartitions: 4; MemorySize: 1176.0 B; TachyonSize: 0.0 B; DiskSize: 0.0 B
// | | | CheckpointRDD[29] at count at myProgram.scala:1701 []
// | +-(4) clusterStatsRDD MapPartitionsRDD[16] at distinct at myProgram.scala:383 []
// | | CachedPartitions: 4; MemorySize: 824.0 B; TachyonSize: 0.0 B; DiskSize: 0.0 B
// | | CheckpointRDD[17] at count at myProgram.scala:394 []
// +-(4) clusterStatsRDD MapPartitionsRDD[16] at distinct at myProgram.scala:383 []
// | CachedPartitions: 4; MemorySize: 824.0 B; TachyonSize: 0.0 B; DiskSize: 0.0 B
// | CheckpointRDD[17] at count at myProgram.scala:394 []
{code}
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