[jira] [Assigned] (SPARK-25454) Division between operands with negative scale can cause precision loss
[
https://issues.apache.org/jira/browse/SPARK-25454?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-25454:
Assignee: Apache Spark
> Division between operands with negative scale can cause precision loss
> --
>
> Key: SPARK-25454
> URL: https://issues.apache.org/jira/browse/SPARK-25454
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 2.3.0, 2.3.1
>Reporter: Marco Gaido
>Assignee: Apache Spark
>Priority: Major
>
> The issue was originally reported by [~bersprockets] here:
> https://issues.apache.org/jira/browse/SPARK-22036?focusedCommentId=16618104=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16618104.
> The problem consist in a precision loss when the second operand of the
> division is a decimal with a negative scale. It was present also before 2.3
> but it was harder to reproduce: you had to do something like
> {{lit(BigDecimal(100e6))}}, while now this can happen more frequently with
> SQL constants.
> The problem is that our logic is taken from Hive and SQLServer where decimals
> with negative scales are not allowed. We might also consider enforcing this
> too in 3.0 eventually. Meanwhile we can fix the logic for computing the
> result type for a division.
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[jira] [Assigned] (SPARK-25454) Division between operands with negative scale can cause precision loss
[
https://issues.apache.org/jira/browse/SPARK-25454?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-25454:
Assignee: (was: Apache Spark)
> Division between operands with negative scale can cause precision loss
> --
>
> Key: SPARK-25454
> URL: https://issues.apache.org/jira/browse/SPARK-25454
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 2.3.0, 2.3.1
>Reporter: Marco Gaido
>Priority: Major
>
> The issue was originally reported by [~bersprockets] here:
> https://issues.apache.org/jira/browse/SPARK-22036?focusedCommentId=16618104=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16618104.
> The problem consist in a precision loss when the second operand of the
> division is a decimal with a negative scale. It was present also before 2.3
> but it was harder to reproduce: you had to do something like
> {{lit(BigDecimal(100e6))}}, while now this can happen more frequently with
> SQL constants.
> The problem is that our logic is taken from Hive and SQLServer where decimals
> with negative scales are not allowed. We might also consider enforcing this
> too in 3.0 eventually. Meanwhile we can fix the logic for computing the
> result type for a division.
--
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[jira] [Assigned] (SPARK-25454) Division between operands with negative scale can cause precision loss
[
https://issues.apache.org/jira/browse/SPARK-25454?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-25454:
Assignee: Apache Spark
> Division between operands with negative scale can cause precision loss
> --
>
> Key: SPARK-25454
> URL: https://issues.apache.org/jira/browse/SPARK-25454
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 2.3.0, 2.3.1
>Reporter: Marco Gaido
>Assignee: Apache Spark
>Priority: Major
>
> The issue was originally reported by [~bersprockets] here:
> https://issues.apache.org/jira/browse/SPARK-22036?focusedCommentId=16618104=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16618104.
> The problem consist in a precision loss when the second operand of the
> division is a decimal with a negative scale. It was present also before 2.3
> but it was harder to reproduce: you had to do something like
> {{lit(BigDecimal(100e6))}}, while now this can happen more frequently with
> SQL constants.
> The problem is that our logic is taken from Hive and SQLServer where decimals
> with negative scales are not allowed. We might also consider enforcing this
> too in 3.0 eventually. Meanwhile we can fix the logic for computing the
> result type for a division.
--
This message was sent by Atlassian JIRA
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[jira] [Assigned] (SPARK-25454) Division between operands with negative scale can cause precision loss
[
https://issues.apache.org/jira/browse/SPARK-25454?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-25454:
Assignee: (was: Apache Spark)
> Division between operands with negative scale can cause precision loss
> --
>
> Key: SPARK-25454
> URL: https://issues.apache.org/jira/browse/SPARK-25454
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 2.3.0, 2.3.1
>Reporter: Marco Gaido
>Priority: Major
>
> The issue was originally reported by [~bersprockets] here:
> https://issues.apache.org/jira/browse/SPARK-22036?focusedCommentId=16618104=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16618104.
> The problem consist in a precision loss when the second operand of the
> division is a decimal with a negative scale. It was present also before 2.3
> but it was harder to reproduce: you had to do something like
> {{lit(BigDecimal(100e6))}}, while now this can happen more frequently with
> SQL constants.
> The problem is that our logic is taken from Hive and SQLServer where decimals
> with negative scales are not allowed. We might also consider enforcing this
> too in 3.0 eventually. Meanwhile we can fix the logic for computing the
> result type for a division.
--
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