GitHub user breakdawn opened a pull request:
https://github.com/apache/spark/pull/14324
[SPARK-16664][SQL] Fix persist call on Data frames with more than 200â¦
## What changes were proposed in this pull request?
f12f11e578169b47e3f8b18b299948c0670ba585 introduced this bug, missed
foreach as map
## How was this patch tested?
manual tests done with following:
test("test data frame with 201 columns") {
val sparkConfig = new SparkConf()
val parallelism = 5
sparkConfig.set("spark.default.parallelism", s"$parallelism")
sparkConfig.set("spark.sql.shuffle.partitions", s"$parallelism")
val sc = new SparkContext(s"local[3]", "TestNestedJson", sparkConfig)
val sqlContext = new SQLContext(sc)
// create dataframe with 201 columns and fake 201 values
val size = 201
val rdd: RDD[Seq[Long]] = sc.parallelize(Seq(Seq.range(0, size)))
val rowRdd: RDD[Row] = rdd.map(d => Row.fromSeq(d))
val schemas = List.range(0, size).map(a => StructField("name"+ a,
LongType, true))
val testSchema = StructType(schemas)
val testDf = sqlContext.createDataFrame(rowRdd, testSchema)
// test value
assert(testDf.persist.take(1).apply(0).toSeq(100).asInstanceOf[Long] ==
100)
sc.stop()
}
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/breakdawn/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14324.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #14324
----
commit 7040dc9f45eae56cb706cb44cd48bea16217db1e
Author: Wesley Tang <tangming...@mininglamp.com>
Date: 2016-07-23T04:35:48Z
[SPARK-16664][SQL] Fix persist call on Data frames with more than 200
columns is wiping out the data.
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