GitHub user kkhatua opened a pull request:
https://github.com/apache/drill/pull/756
DRILL-5195: Publish Operator and MajorFragment Stats in Profile page
Improved UI
1. Introduction of Tooltips
2. Share of each operator as a percentages of the major fragment and of the
query
- This would help identify the most CPU intensive operators within a
fragment and across the query
3. Rows emitted by each operator
4. For a running query, changes to 'last update' and 'last progress' now
shows the elapsed time since.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/kkhatua/drill DRILL-5195
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/drill/pull/756.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #756
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commit d044cf53098516ef2936cefaf1cd6907134f461f
Author: Kunal Khatua <kkha...@maprtech.com>
Date: 2017-02-22T07:06:54Z
DRILL-5190: Display planning and queued time for a query's profile page
Modified UserSharedBit protobuf for marking planning and wait-in-queue end
times. This will allow for accurately reporting the planning, queued and actual
execution times of a query.
Planning Time:
In the absence of the planning time's end, for older profiles, the root
fragment's (i.e. SCREEN operator) start time is taken as the estimated end of
planning time, and as the estimated start time of the execution phase.
QueueWait Time:
We do not estimate the queue time if the planning end time is not
available.
Execution Time:
We calculate the execution time based on the availability of these 2
planning time. The computation is done the following way, and reflects a
decreasing level of accuracy
1. Execution time = [end(QueueWait) - endTime(Query)]
2. Execution time = [end(Planning) - endTime(Query)]
3. Execution time = [start(rootFragment) - endTime(Query)] - {Estimated}
commit ffd684de09ab9eb586755dcf3a80fccb52ec6940
Author: Kunal Khatua <kkha...@maprtech.com>
Date: 2017-02-22T19:01:20Z
DRILL-5195: Publish Operator and MajorFragment Stats in Profile page
Improved UI
1. Introduction of Tooltips
2. Share of each operator as a percentages of the major fragment and of the
query
- This would help identify the most CPU intensive operators within a
fragment and across the query
3. Rows emitted by each operator
4. For a running query, changes to 'last update' and 'last progress' now
shows the elapsed time since.
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