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
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@@ -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. Do we
always have Filter on top of Json scan operator to catch them?
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