Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/9595#discussion_r50215667
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/source/libsvm/LibSVMRelationSuite.scala
---
@@ -79,4 +79,23 @@ class LibSVMRelationSuite extends SparkFunSuite with
MLlibTestSparkContext {
val v = row1.getAs[SparseVector](1)
assert(v == Vectors.sparse(100, Seq((0, 1.0), (2, 2.0), (4, 3.0))))
}
+
+ test("write libsvm data and read it again") {
+ val df = sqlContext.read.format("libsvm").load(path)
+ val writepath = path + "_2"
+ df.write.save(writepath)
--- End diff --
Could you help check why it passed tests? It could be a Spark SQL
feature/bug, e.g., it forces using Parquet format when there are Parquet files
on the input path.
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