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Posted to github@arrow.apache.org by "tustvold (via GitHub)" <gi...@apache.org> on 2023/06/28 21:30:45 UTC

[GitHub] [arrow-datafusion] tustvold opened a new pull request, #6792: Use checked division kernel

tustvold opened a new pull request, #6792:
URL: https://github.com/apache/arrow-datafusion/pull/6792

   # Which issue does this PR close?
   
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   Closes #6791
   
   # Rationale for this change
   
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   The current behaviour is inconsistent, can lead to nulls in non-nullable columns, and is pretty surprising.
   
   # What changes are included in this PR?
   
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[GitHub] [arrow-datafusion] alamb commented on a diff in pull request #6792: Use checked division kernel

Posted by "alamb (via GitHub)" <gi...@apache.org>.
alamb commented on code in PR #6792:
URL: https://github.com/apache/arrow-datafusion/pull/6792#discussion_r1245944623


##########
datafusion/optimizer/src/simplify_expressions/expr_simplifier.rs:
##########
@@ -1670,9 +1670,12 @@ mod tests {
     fn test_simplify_divide_zero_by_zero() {
         // 0 / 0 -> null
         let expr = lit(0) / lit(0);
-        let expected = lit(ScalarValue::Int32(None));
+        let err = try_simplify(expr).unwrap_err();
 
-        assert_eq!(simplify(expr), expected);
+        assert!(

Review Comment:
   This is consistent with postgres 👍 
   
   ```sql
   postgres=# select 0 / 0;
   ERROR:  division by zero
   ```



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[GitHub] [arrow-datafusion] tustvold merged pull request #6792: Use checked division kernel

Posted by "tustvold (via GitHub)" <gi...@apache.org>.
tustvold merged PR #6792:
URL: https://github.com/apache/arrow-datafusion/pull/6792


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[GitHub] [arrow-datafusion] alamb commented on pull request #6792: Use checked division kernel

Posted by "alamb (via GitHub)" <gi...@apache.org>.
alamb commented on PR #6792:
URL: https://github.com/apache/arrow-datafusion/pull/6792#issuecomment-1612262487

   cc @viirya 


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[GitHub] [arrow-datafusion] viirya commented on pull request #6792: Use checked division kernel

Posted by "viirya (via GitHub)" <gi...@apache.org>.
viirya commented on PR #6792:
URL: https://github.com/apache/arrow-datafusion/pull/6792#issuecomment-1612360780

   Hmm, it is inconsistent. We should fix it. But we will prefer default behavior is to get null instead of query error. That is story of Spark but I agree DataFusion doesn't necessarily to follow it at all.
   
   > ... nulls in non-nullable columns, and is pretty surprising.
   
   Is it an issue? In Spark, Divide expression output is nullable always. I think producing null from non-nullable input columns is totally fine if it follows the expression's output type definition.
   
   So the issue is more about inconsistency.
   
   Looks okay to me.
   
   
   


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