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https://issues.apache.org/jira/browse/KUDU-2381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16415901#comment-16415901
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Todd Lipcon edited comment on KUDU-2381 at 3/27/18 4:41 PM:
------------------------------------------------------------

Looking at perf report it seems like the majority of CPU is in two spots:

In MayHaveDeltas:
{code}
  for (auto& col: updates_by_col_) {
    if (!col.empty()) {
      return true;
    }
  }
{code}
In PrepareBatch:
{code}
  for (UpdatesForColumn& ufc : updates_by_col_) {
    ufc.clear();
  }
{code}

Both of these end up being no-ops in the case that there are no updates in the 
previously-scanned blocks. So, I think it would make sense to be more lazy 
about initializing updates_by_col_.


was (Author: tlipcon):
Looking at perf report it seems like the majority of CPU is in two spots:

In MayHaveDeltas:
{code}
  for (auto& col: updates_by_col_) {
    if (!col.empty()) {
      return true;
    }
  }
{code}

{code}
  for (UpdatesForColumn& ufc : updates_by_col_) {
    ufc.clear();
  }
{code}

Both of these end up being no-ops in the case that there are no updates in the 
previously-scanned blocks. So, I think it would make sense to be more lazy 
about initializing updates_by_col_.

> Optimize DeltaMemStore for case of no matching deltas
> -----------------------------------------------------
>
>                 Key: KUDU-2381
>                 URL: https://issues.apache.org/jira/browse/KUDU-2381
>             Project: Kudu
>          Issue Type: Improvement
>          Components: perf, tablet
>            Reporter: Todd Lipcon
>            Assignee: Todd Lipcon
>            Priority: Major
>
> Currently in a scan workload which scans 280 columns I see DeltaMemStore 
> iteration taking up a significant amount of CPU in the scan, despite the fact 
> that the dataset has no updates. Of 1.6sec in 
> MaterializingIterator::NextBlock, we spent 0.61s in DMSIterator::PrepareBatch 
> and 0.14s in DMSIterator::MayHaveDeltas. So, about 46% of our time here is on 
> wasted work.



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