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https://issues.apache.org/jira/browse/SPARK-25952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-25952.
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Resolution: Fixed
Assignee: Maxim Gekk
Fix Version/s: 3.0.0
Fixed in https://github.com/apache/spark/pull/22958
> from_json returns wrong result if corrupt record column is in the middle of
> schema
> ----------------------------------------------------------------------------------
>
> Key: SPARK-25952
> URL: https://issues.apache.org/jira/browse/SPARK-25952
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Maxim Gekk
> Assignee: Maxim Gekk
> Priority: Major
> Fix For: 3.0.0
>
>
> If an user specifies a corrupt record column via
> spark.sql.columnNameOfCorruptRecord or JSON options
> columnNameOfCorruptRecord, schema with the column is propagated to Jackson
> parser. This breaks an assumption inside of FailureSafeParser that a row
> returned from Jackson Parser contains only actual data. As a consequence of
> that FailureSafeParser writes a bad record in wrong position.
> For example:
> {code:scala}
> val schema = new StructType()
> .add("a", IntegerType)
> .add("_unparsed", StringType)
> .add("b", IntegerType)
> val badRec = """{"a" 1, "b": 11}"""
> val df = Seq(badRec, """{"a": 2, "b": 12}""").toDS()
> {code}
> the collect() action below
> {code:scala}
> df.select(from_json($"value", schema, Map("columnNameOfCorruptRecord" ->
> "_unparsed"))).collect()
> {code}
> loses 12:
> {code}
> Array(Row(Row(null, "{"a" 1, "b": 11}", null)), Row(Row(2, null, null)))
> {code}
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