You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/03/30 18:00:00 UTC
[jira] [Commented] (SPARK-34909) conv() does not convert negative
inputs to unsigned correctly
[ https://issues.apache.org/jira/browse/SPARK-34909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17311699#comment-17311699 ]
Apache Spark commented on SPARK-34909:
--------------------------------------
User 'timarmstrong' has created a pull request for this issue:
https://github.com/apache/spark/pull/32006
> conv() does not convert negative inputs to unsigned correctly
> -------------------------------------------------------------
>
> Key: SPARK-34909
> URL: https://issues.apache.org/jira/browse/SPARK-34909
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Tim Armstrong
> Priority: Major
>
> {noformat}
> scala> spark.sql("select conv('-10', 11, 7)").show(20, 150)
> +-----------------------+
> | conv(-10, 11, 7)|
> +-----------------------+
> |4501202152252313413456|
> +-----------------------+
> scala> spark.sql("select hex(conv('-10', 11, 7))").show(20, 150)
> +----------------------------------------------+
> | hex(conv(-10, 11, 7))|
> +----------------------------------------------+
> |3435303132303231353232353233313334313334353600|
> +----------------------------------------------+
> {noformat}
> The correct result is 45012021522523134134555. The above output has an incorrect second-to-last digit (6 instead of 5) and the last digit is a non-printing character the null byte.
> I tracked the bug down to NumberConverter.unsignedLongDiv returning incorrect results. I tried replacing with java.lang.Long.divideUnsigned and that fixed it.
--
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