APeng Zhang created SPARK-21410:
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Summary: In RangePartitioner(partitions: Int, rdd: RDD[]),
RangePartitioner.numPartitions is wrong if the number of elements in RDD
(rdd.count()) is less than number of partitions (partitions in constructor).
Key: SPARK-21410
URL: https://issues.apache.org/jira/browse/SPARK-21410
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.1.0, 2.0.0, 2.2.0
Reporter: APeng Zhang
Priority: Minor
In RangePartitioner(partitions: Int, rdd: RDD[]),
RangePartitioner.numPartitions is wrong if the number of elements in RDD
(rdd.count()) is less than number of partitions (partitions in constructor).
Code1 to reproduce:
{code:java}
import spark.implicits._
val ds = spark.createDataset(Seq((1, 1)))
println(ds.sort("_1").rdd.getNumPartitions)
// The output of println is 2
{code}
Code2 to reproduce:
{code:java}
test("Number of elements in RDD is less than number of partitions") {
val rdd = sc.parallelize(1 to 3).map(x => (x, x))
val partitioner = new RangePartitioner(22, rdd)
assert(partitioner.numPartitions === 3)
}
{code}
This test will be failed because partitioner.numPartitions is 4.
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