spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Dongjoon Hyun (Jira)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-30993) GenerateUnsafeRowJoiner corrupts the value if the datatype is UDF and its sql type has fixed length
Date Mon, 02 Mar 2020 22:20:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-30993?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Dongjoon Hyun updated SPARK-30993:
----------------------------------
    Affects Version/s: 2.3.0
                       2.3.1
                       2.3.2
                       2.3.3

> GenerateUnsafeRowJoiner corrupts the value if the datatype is UDF and its sql type has
fixed length
> ---------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-30993
>                 URL: https://issues.apache.org/jira/browse/SPARK-30993
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.5, 3.0.0
>            Reporter: Jungtaek Lim
>            Assignee: Jungtaek Lim
>            Priority: Major
>              Labels: correctness
>             Fix For: 3.0.0
>
>
> This is reported by user mailing list, though the mail thread is regarding suspect of
the behavior of mapGroupsWithState.
> [https://lists.apache.org/thread.html/r08b44a7afac4e4c971633d30b4e5d11bd7c0d6e28180e03b874ea58b%40%3Cuser.spark.apache.org%3E]
> The actual culprit is, there're a couple of methods which don't handle UDT and it makes GenerateUnsafeRowJoiner
to generate incorrect code. Specifically, the issue occurs when the sql type of UDT has fixed
length - GenerateUnsafeRowJoiner has the logic to update the offset position for all variable-length
data, and due to this bug, UDT field with fixed length is being treated as variable-length
data and its value is modified.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message