[IGNITE-9063] Wrong Data Frame parition order

• Type: Bug
• Status: Resolved
• Priority: Blocker
• Resolution: Fixed
• Affects Version/s: 2.6
• Fix Version/s: 2.7
• Component/s: spark
• Assignee: Stuart Macdonald
• Reporter: Nikolay Izhikov
• Created: 24/Jul/18 09:16
• Updated: 05/Nov/18 18:19
• Resolved: 25/Jul/18 07:56

Description

If cluster size is greater that 2 Spark Data Frame tests failed with exception.

java.lang.IllegalArgumentException: requirement failed: partitions(0).partition == 3, but it should equal 0
at scala.Predef$.require(Predef.scala:224)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2$$anonfun$apply$3.apply(RDD.scala:255)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2$$anonfun$apply$3.apply(RDD.scala:254)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:254)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2092)
at org.apache.spark.rdd.RDD.count(RDD.scala:1162)
at org.apache.ignite.spark.IgniteSQLDataFrameSpec$$anonfun$1$$anonfun$apply$mcV$sp$11.apply$mcV$sp(IgniteSQLDataFrameSpec.scala:145)

https://github.com/stuartmacd/ignite/commit/c9e7294c71de9e7b2bddfae671605a71260b80b3 - reproducer and fix.

Issue Links

• links to: GitHub Pull Request #4419