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-rw-r--r--resources/tools/presentation/doc/pal_lld.rst111
1 files changed, 89 insertions, 22 deletions
diff --git a/resources/tools/presentation/doc/pal_lld.rst b/resources/tools/presentation/doc/pal_lld.rst
index 2e119fad82..81c2547a82 100644
--- a/resources/tools/presentation/doc/pal_lld.rst
+++ b/resources/tools/presentation/doc/pal_lld.rst
@@ -1374,39 +1374,106 @@ Continuous Performance Measurements and Trending
Performance analysis and trending execution sequence:
`````````````````````````````````````````````````````
-1. Triggered at completion of Performance Measurements and Archiving (PMA) job.
-
- a. Periodic, or gerrit triggers are supported too.
-
-2. Download RF output.xml from triggering CPM job.
-3. Parse out the test results listed in PAL specification file.
-4. Reads specified amount of PMA historical data from Nexus.
-5. Calculate specified statistical metrics – see next section.
-6. Evaluate latest results against the historical metrics, quantify relative
- change and based on defined criteria set the result to Pass (no-change or
- progression) or Fail (regression).
-7. Add the new data to historical data.
-8. Generate a new set of trend analysis summary and drill-down graphs.
-9. Archive the latest RF output.xml to nexus for future analysis.
-10. Publish trend analysis graphs in html format on https://docs.fd.io/.
+CSIT PA runs performance analysis, change detection and trending using specified
+trend analysis metrics over the rolling window of last <N> sets of historical
+measurement data. PA is defined as follows:
+
+ #. PA job triggers:
+
+ #. By PT job at its completion.
+ #. Manually from Jenkins UI.
+
+ #. Download and parse archived historical data and the new data:
+
+ #. New data from latest PT job is evaluated against the rolling window
+ of <N> sets of historical data.
+ #. Download RF output.xml files and compressed archived data.
+ #. Parse out the data filtering test cases listed in PA specification
+ (part of CSIT PAL specification file).
+
+ #. Calculate trend metrics for the rolling window of <N> sets of historical data:
+
+ #. Calculate quartiles Q1, Q2, Q3.
+ #. Trim outliers using IQR.
+ #. Calculate TMA and TMSD.
+ #. Calculate normal trending range per test case based on TMA and TMSD.
+
+ #. Evaluate new test data against trend metrics:
+
+ #. If within the range of (TMA +/- 3*TMSD) => Result = Pass,
+ Reason = Normal.
+ #. If below the range => Result = Fail, Reason = Regression.
+ #. If above the range => Result = Pass, Reason = Progression.
+
+ #. Generate and publish results
+
+ #. Relay evaluation result to job result.
+ #. Generate a new set of trend analysis summary graphs and drill-down
+ graphs.
+
+ #. Summary graphs to include measured values with Normal,
+ Progression and Regression markers. MM shown in the background if
+ possible.
+ #. Drill-down graphs to include MM, TMA and TMSD.
+
+ #. Publish trend analysis graphs in html format on
+ https://docs.fd.io/csit/master/trending/.
+
Parameters to specify:
``````````````````````
- job to be monitored - the Jenkins job which results are used as input data for
this test;
-- number of builds used for trending plot(s) - specified by an integer greater
- than zero, or zero for all available builds;
-- tests we are interested in (list) list of tests which results are used for the
- test;
-- window size for the moving average.
+- builds used for trending plot(s) - specified by a list of build numbers or by
+ a range of builds defined by the first and the last buld number;
+- list plots to generate:
+
+ - plot title;
+ - output file name;
+ - data for plots;
+ - tests to be displayed in the plot defined by a filter;
+ - list of parameters to extract from the data;
+ - periods (daily = 1, weekly = 5, monthly = 30);
+ - plot layout
*Example:*
::
- TODO
-
+ -
+ type: "cpta"
+ title: "Continuous Performance Trending and Analysis"
+ algorithm: "cpta"
+ output-file-type: ".html"
+ output-file: "{DIR[STATIC,VPP]}/cpta"
+ data: "plot-performance-trending"
+ plots:
+ - title: "VPP 1T1C L2 64B Packet Throughput - {period} Trending"
+ output-file-name: "l2-1t1c-x520"
+ data: "plot-performance-trending"
+ filter: "'NIC_Intel-X520-DA2' and 'MRR' and '64B' and ('BASE' or 'SCALE') and '1T1C' and ('L2BDMACSTAT' or 'L2BDMACLRN' or 'L2XCFWD') and not 'VHOST' and not 'MEMIF'"
+ parameters:
+ - "result"
+ # - "name"
+ periods:
+ - 1
+ - 5
+ - 30
+ layout: "plot-cpta"
+
+ - title: "VPP 2T2C L2 64B Packet Throughput - {period} Trending"
+ output-file-name: "l2-2t2c-x520"
+ data: "plot-performance-trending"
+ filter: "'NIC_Intel-X520-DA2' and 'MRR' and '64B' and ('BASE' or 'SCALE') and '2T2C' and ('L2BDMACSTAT' or 'L2BDMACLRN' or 'L2XCFWD') and not 'VHOST' and not 'MEMIF'"
+ parameters:
+ - "result"
+ # - "name"
+ periods:
+ - 1
+ - 5
+ - 30
+ layout: "plot-cpta"
API
---