Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/2323#discussion_r17399017
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/json/JsonRDD.scala
---
@@ -253,7 +254,7 @@ private[sql] object JsonRDD extends Logging {
// This issue is documented at
https://issues.scala-lang.org/browse/SI-7005
JMapWrapper(map).mapValues(scalafy).map(identity)
case list: java.util.List[_] =>
- JListWrapper(list).map(scalafy)
+ (list: Seq[_]).map(scalafy)
--- End diff --
Oh, after checking the code again, I think `.map(scalafy)` will convert the
`JListWrapper` at here to an `ArrayBuffer` (`JListWrapper` is a `Buffer` and
`Buffer`'s `newBuilder` returns `ArrayBuffer`) and we will not have the Kryo
issue. I tried `from pyspark.sql import
SQLContext;SQLContext(sc).jsonRDD(sc.parallelize(['{"a":[3]}']))._jschema_rdd.collect()`
and it's fine.
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