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

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-25952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-25952:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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
>            Priority: Major
>
> 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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