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https://issues.apache.org/jira/browse/SPARK-5790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Brennon York updated SPARK-5790:
--------------------------------
Description:
For VertexRDD's with differing partition sizes one cannot run commands like
`diff` as it will thrown an IllegalArgumentException. The code below provides
an example:
{code}
import org.apache.spark.graphx._
import org.apache.spark.rdd._
val setA: VertexRDD[Int] = VertexRDD(sc.parallelize(0L until 3L).map(id => (id,
id.toInt+1)))
setA.collect.foreach(println(_))
val setB: VertexRDD[Int] = VertexRDD(sc.parallelize(2L until 4L).map(id => (id,
id.toInt+2)))
setB.collect.foreach(println(_))
val diff = setA.diff(setB)
diff.collect.foreach(println(_))
val setC: VertexRDD[Int] = VertexRDD(sc.parallelize(2L until 4L).map(id => (id,
id.toInt+2)) ++ sc.parallelize(6L until 8L).map(id => (id, id.toInt+2)))
setA.diff(setC).collect
// java.lang.IllegalArgumentException: Can't zip RDDs with unequal numbers of
partitions
{code}
was:
For VertexRDD's with differing partition sizes one cannot run commands like
`diff` as it will thrown an IllegalArgumentException. The code below provides
an example:
{code:scala}
import org.apache.spark.graphx._
import org.apache.spark.rdd._
val setA: VertexRDD[Int] = VertexRDD(sc.parallelize(0L until 3L).map(id => (id,
id.toInt+1)))
setA.collect.foreach(println(_))
val setB: VertexRDD[Int] = VertexRDD(sc.parallelize(2L until 4L).map(id => (id,
id.toInt+2)))
setB.collect.foreach(println(_))
val diff = setA.diff(setB)
diff.collect.foreach(println(_))
val setC: VertexRDD[Int] = VertexRDD(sc.parallelize(2L until 4L).map(id => (id,
id.toInt+2)) ++ sc.parallelize(6L until 8L).map(id => (id, id.toInt+2)))
setA.diff(setC).collect
// java.lang.IllegalArgumentException: Can't zip RDDs with unequal numbers of
partitions
{code}
> VertexRDD's won't zip properly for `diff` capability
> ----------------------------------------------------
>
> Key: SPARK-5790
> URL: https://issues.apache.org/jira/browse/SPARK-5790
> Project: Spark
> Issue Type: Bug
> Components: GraphX
> Reporter: Brennon York
>
> For VertexRDD's with differing partition sizes one cannot run commands like
> `diff` as it will thrown an IllegalArgumentException. The code below provides
> an example:
> {code}
> import org.apache.spark.graphx._
> import org.apache.spark.rdd._
> val setA: VertexRDD[Int] = VertexRDD(sc.parallelize(0L until 3L).map(id =>
> (id, id.toInt+1)))
> setA.collect.foreach(println(_))
> val setB: VertexRDD[Int] = VertexRDD(sc.parallelize(2L until 4L).map(id =>
> (id, id.toInt+2)))
> setB.collect.foreach(println(_))
> val diff = setA.diff(setB)
> diff.collect.foreach(println(_))
> val setC: VertexRDD[Int] = VertexRDD(sc.parallelize(2L until 4L).map(id =>
> (id, id.toInt+2)) ++ sc.parallelize(6L until 8L).map(id => (id, id.toInt+2)))
> setA.diff(setC).collect
> // java.lang.IllegalArgumentException: Can't zip RDDs with unequal numbers of
> partitions
> {code}
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