viirya commented on a change in pull request #27366:
URL: https://github.com/apache/spark/pull/27366#discussion_r443654085
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
##########
@@ -375,15 +378,19 @@ class JacksonParser(
private def convertObject(
parser: JsonParser,
schema: StructType,
- fieldConverters: Array[ValueConverter]): InternalRow = {
+ fieldConverters: Array[ValueConverter],
+ structFilters: StructFilters = new NoopFilters()): Option[InternalRow] =
{
val row = new GenericInternalRow(schema.length)
var badRecordException: Option[Throwable] = None
+ var skipRow = false
- while (nextUntil(parser, JsonToken.END_OBJECT)) {
+ structFilters.reset()
+ while (!skipRow && nextUntil(parser, JsonToken.END_OBJECT)) {
schema.getFieldIndex(parser.getCurrentName) match {
case Some(index) =>
try {
row.update(index, fieldConverters(index).apply(parser))
+ skipRow = structFilters.skipRow(row, index)
} catch {
case e: SparkUpgradeException => throw e
case NonFatal(e) =>
Review comment:
If any badRecordException is happened, `structFilters.skipRow` is not
ran for that index and some predicates might not be with all references set in
the row. That's said we could fail to filter out some rows in the case. I guess
that it is fine because we should have Filter on top of Json scan operator to
catch them. Seems we can skip `structFilters.skipRow` once any
badRecordException is happened?
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