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https://issues.apache.org/jira/browse/DRILL-6126?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16385719#comment-16385719
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ASF GitHub Bot commented on DRILL-6126:
---------------------------------------
Github user paul-rogers commented on a diff in the pull request:
https://github.com/apache/drill/pull/1125#discussion_r172105435
--- Diff:
exec/vector/src/main/java/org/apache/drill/exec/vector/complex/RepeatedMapVector.java
---
@@ -608,4 +608,22 @@ public void collectLedgers(Set<BufferLedger> ledgers) {
public void toNullable(ValueVector nullableVector) {
throw new UnsupportedOperationException();
}
+
+ @Override
+ public int getPayloadByteCount(int valueCount) {
+ if (valueCount == 0) {
+ return 0;
+ }
+
+ int count = 0;
+
+ int entryCount = offsets.getAccessor().get(valueCount);
+ count += offsets.getPayloadByteCount(valueCount);
--- End diff --
```
int count = offsets.get...
```
> Allocate memory for value vectors upfront in flatten operator
> -------------------------------------------------------------
>
> Key: DRILL-6126
> URL: https://issues.apache.org/jira/browse/DRILL-6126
> Project: Apache Drill
> Issue Type: Improvement
> Reporter: Padma Penumarthy
> Assignee: Padma Penumarthy
> Priority: Critical
> Fix For: 1.12.0
>
>
> With recent changes to control batch size for flatten operator, we figure out
> row count in the output batch based on memory. Since we know how many rows we
> are going to include in the batch, we can also allocate the memory needed
> upfront instead of starting with initial value (4096) and doubling, copying
> every time we need more.
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