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Surya Hebbar 36a63d0a33 IMPALA-12182: Add CPU utilization chart for RuntimeProfile's sampled metrics
This change adds support for a stacked area chart for CPU utilization
to the query timeline display, while also providing the ability to scale
timetick values, precision, and the ability to horizontally scale
the fragment timing diagram along with the utilization chart.

Rendering of different components within the diagram has been decoupled
to isolate scaling of timeticks, also to improve the overall
efficiency by making the rendering functions asynchronous
for better performance during resize events. Additionally,
re-rendering of fragment diagram is only triggered during new
fragment events.

The following are the associated key bindings to scale the timeline
with mouse wheel events.
- shift + wheel events on #fragment_diagram
- shift + wheel events on #timeticks_footer
- alt + shift + wheel events on #timeticks_footer for precision control

Note:
Ctrl + mouse wheel events and ctrl + '+'/'-' events can be used to
resize the timeline through the browser.

Mouse wheel events have been associated with respective components
for better efficiency and maintainability.

Constraints have been added to above attributes to limit scaling/zooming
for appropriate display and rendering across all DOM elements.

RESOURCE_TRACE_RATIO query option provides the utilization values to be
traced within the RuntimeProfile. It contains samples of CPU utilization
metrics for user, sys and iowait. These time series counters are available
within the profile having the following names.

Per Node Profiles -
  - HostCpuIoWaitPercentage
  - HostCpuSysPercentage
  - HostCpuUserPercentage

The samples are updated based on 'periodic_counter_update_period_ms'
providing the 'period' within profile's 'Per Node Profiles'.

These are retrieved from the ChunkedTimeSeriesCounter in the
RuntimeProfile. Currently, JSON profiles and webUI summary pages
contain the downsampled values.

Utilization samples are aligned with the fragment diagram by
associating the number of samples and the period.

Aggregate CPU usage for each node is being calculated
after accumulating the basis point values for user, sys
and iowait. These are being displayed after grouping the
associated counters for each node as a stacked line chart.

c3.js charting library based on d3.v5 is being used to plot
the utilization.

The license associated with d3 v5 during the related time frame
has been included along with the charting library's.

Support for experimental profile V2 is currently not included.

Scaling a large number of values to support profile V2 would be
possible with appropriate down-sampling in the back-end.

Testing: Manual testing with TPC-DS and TPC-H queries

Change-Id: Idea2a6db217dbfaa7a0695aeabb6d9c1ecf62158
Reviewed-on: http://gerrit.cloudera.org:8080/20008
Reviewed-by: Riza Suminto <riza.suminto@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2023-07-11 00:06:24 +00:00

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