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Posted to issues@ignite.apache.org by "Nikolay Izhikov (JIRA)" <ji...@apache.org> on 2018/07/24 09:17:00 UTC
[jira] [Created] (IGNITE-9063) Wrong Data Frame parition order
Nikolay Izhikov created IGNITE-9063:
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Summary: Wrong Data Frame parition order
Key: IGNITE-9063
URL: https://issues.apache.org/jira/browse/IGNITE-9063
Project: Ignite
Issue Type: Bug
Components: spark
Affects Versions: 2.6
Reporter: Nikolay Izhikov
Fix For: 2.7
If cluster size is greater that 2 Spark Data Frame tests failed with exception.
{noformat}
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)
{noformat}
https://github.com/stuartmacd/ignite/commit/c9e7294c71de9e7b2bddfae671605a71260b80b3 - reproducer and fix.
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