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https://issues.apache.org/jira/browse/HIVE-12315?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gopal V updated HIVE-12315:
---------------------------
Description:
I suspect it is related to the fancy optimizations in vectorized double divide
that try to quickly process the batch without checking each row for null.
{code}
public static void setNullAndDivBy0DataEntriesDouble(
DoubleColumnVector v, boolean selectedInUse, int[] sel, int n,
DoubleColumnVector denoms) {
assert v.isRepeating || !denoms.isRepeating;
v.noNulls = false;
double[] vector = denoms.vector;
if (v.isRepeating && (v.isNull[0] = (v.isNull[0] || vector[0] == 0))) {
v.vector[0] = DoubleColumnVector.NULL_VALUE;
{code}
was:I suspect it is related to the fancy optimizations in vectorized double
divide that try to quickly process the batch without checking each row for null.
> vectorization_short_regress.q has a wrong result issue for a double
> calculation
> -------------------------------------------------------------------------------
>
> Key: HIVE-12315
> URL: https://issues.apache.org/jira/browse/HIVE-12315
> Project: Hive
> Issue Type: Bug
> Components: Vectorization
> Reporter: Matt McCline
> Assignee: Gopal V
> Priority: Critical
> Attachments: vectorization_short_regress_bug.q
>
>
> I suspect it is related to the fancy optimizations in vectorized double
> divide that try to quickly process the batch without checking each row for
> null.
> {code}
> public static void setNullAndDivBy0DataEntriesDouble(
> DoubleColumnVector v, boolean selectedInUse, int[] sel, int n,
> DoubleColumnVector denoms) {
> assert v.isRepeating || !denoms.isRepeating;
> v.noNulls = false;
> double[] vector = denoms.vector;
> if (v.isRepeating && (v.isNull[0] = (v.isNull[0] || vector[0] == 0))) {
> v.vector[0] = DoubleColumnVector.NULL_VALUE;
> {code}
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