Github user chenghao-intel commented on a diff in the pull request:
https://github.com/apache/spark/pull/4527#discussion_r24504239
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/json/JsonRDD.scala
---
@@ -39,7 +39,19 @@ private[sql] object JsonRDD extends Logging {
json: RDD[String],
schema: StructType,
columnNameOfCorruptRecords: String): RDD[Row] = {
- parseJson(json, columnNameOfCorruptRecords).map(parsed =>
asRow(parsed, schema))
+ // Reuse the mutable row for each record, however we still need to
+ // create a new row for every nested struct type in each record
+ val mutableRow = new SpecificMutableRow(schema.fields.map(_.dataType))
+ parseJson(json, columnNameOfCorruptRecords).mapPartitions( iter => {
+ iter.map { parsed =>
+ schema.fields.zipWithIndex.foreach {
--- End diff --
BTW, I believe that `schema.fields.zipWithIndex` will create temporal
objects, use for loop instead.
```
for (i <- 0 until schema.fields.length) {
val fname = schema.fields(i).name
val ftype = schema.fields(i).dataType
mutableRow(i) = ...
}
```
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