[jira] [Created] (SPARK-25952) from_json returns wrong result if corrupt record column is in the middle of schema

["Maxim Gekk (JIRA)" <ji...@apache.org>]

Maxim Gekk created SPARK-25952:
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             Summary: 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


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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