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author | 2018-03-27 14:37:42 +0200 | |
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committer | 2018-06-13 13:15:07 +0200 | |
commit | 401af1e0e6bddb4ad2aed28de66f13ece2436937 (patch) | |
tree | 2d07d6dceca3c30237f04a2d9017b9e4f5356726 /resources/tools/presentation/new/doc/pal_lld.rst | |
parent | 0e8d8a59fd6b8477b17a9222a5cfb0d94d24ff22 (diff) |
CSIT-942: RCA - Option 1: Analysing Archived VPP Results
- CSIT-953: LLD
Change-Id: I0baefd8495f6ae8dc6f95f1cf29f5ccb8053d58d
Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources/tools/presentation/new/doc/pal_lld.rst')
-rw-r--r-- | resources/tools/presentation/new/doc/pal_lld.rst | 164 |
1 files changed, 130 insertions, 34 deletions
diff --git a/resources/tools/presentation/new/doc/pal_lld.rst b/resources/tools/presentation/new/doc/pal_lld.rst index 81c2547a82..c037f97522 100644 --- a/resources/tools/presentation/new/doc/pal_lld.rst +++ b/resources/tools/presentation/new/doc/pal_lld.rst @@ -1391,7 +1391,8 @@ measurement data. PA is defined as follows: #. 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 trend metrics for the rolling window of <N> sets of historical + data: #. Calculate quartiles Q1, Q2, Q3. #. Trim outliers using IQR. @@ -1423,19 +1424,28 @@ measurement data. PA is defined as follows: Parameters to specify: `````````````````````` -- job to be monitored - the Jenkins job which results are used as input data for - this test; -- 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: +*General section - parameters common to all plots:* - - 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 + - type: "cpta"; + - title: The title of this section; + - output-file-type: only ".html" is supported; + - output-file: path where the generated files will be stored. + +*Plots section:* + + - plot title; + - output file name; + - input data for plots; + + - job to be monitored - the Jenkins job which results are used as input + data for this test; + - 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 + build number; + + - tests to be displayed in the plot defined by a filter; + - list of parameters to extract from the data; + - plot layout *Example:* @@ -1444,36 +1454,122 @@ Parameters to specify: - 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" + + - title: "VPP 1T1C L2 64B Packet Throughput - Trending" output-file-name: "l2-1t1c-x520" - data: "plot-performance-trending" + data: "plot-performance-trending-vpp" 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'" + layout: "plot-cpta-vpp" + + - title: "DPDK 4T4C IMIX MRR Trending" + output-file-name: "dpdk-imix-4t4c-xl710" + data: "plot-performance-trending-dpdk" + filter: "'NIC_Intel-XL710' and 'IMIX' and 'MRR' and '4T4C' and 'DPDK'" parameters: - "result" - # - "name" - periods: - - 1 - - 5 - - 30 - layout: "plot-cpta" + layout: "plot-cpta-dpdk" + +The Dashboard +````````````` + +Performance dashboard tables provide the latest VPP throughput trend, trend +compliance and detected anomalies, all on a per VPP test case basis. +The Dashboard is generated as three tables for 1t1c, 2t2c and 4t4c MRR tests. + +At first, the .csv tables are generated (only the table for 1t1c is shown): + +:: + + - + type: "table" + title: "Performance trending dashboard" + algorithm: "table_performance_trending_dashboard" + output-file-ext: ".csv" + output-file: "{DIR[STATIC,VPP]}/performance-trending-dashboard-1t1c" + data: "plot-performance-trending-all" + filter: "'MRR' and '1T1C'" + parameters: + - "name" + - "parent" + - "result" + ignore-list: + - "tests.vpp.perf.l2.10ge2p1x520-eth-l2bdscale1mmaclrn-mrr.tc01-64b-1t1c-eth-l2bdscale1mmaclrn-ndrdisc" + outlier-const: 1.5 + window: 14 + evaluated-window: 14 + long-trend-window: 180 + +Then, html tables stored inside .rst files are generated: + +:: + + - + type: "table" + title: "HTML performance trending dashboard 1t1c" + algorithm: "table_performance_trending_dashboard_html" + input-file: "{DIR[STATIC,VPP]}/performance-trending-dashboard-1t1c.csv" + output-file: "{DIR[STATIC,VPP]}/performance-trending-dashboard-1t1c.rst" + +Root Cause Analysis +------------------- + +Root Cause Analysis (RCA) by analysing archived performance results – re-analyse +available data for specified: + + - range of jobs builds, + - set of specific tests and + - PASS/FAIL criteria to detect performance change. + +In addition, PAL generates trending plots to show performance over the specified +time interval. + +Root Cause Analysis - Option 1: Analysing Archived VPP Results +`````````````````````````````````````````````````````````````` + +It can be used to speed-up the process, or when the existing data is sufficient. +In this case, PAL uses existing data saved in Nexus, searches for performance +degradations and generates plots to show performance over the specified time +interval for the selected tests. + +Execution Sequence +'''''''''''''''''' + + #. Download and parse archived historical data and the new data. + #. Calculate trend metrics. + #. Find regression / progression. + #. Generate and publish results: + + #. Summary graphs to include measured values with Progression and + Regression markers. + #. List the DUT build(s) where the anomalies were detected. + +CSIT PAL Specification +'''''''''''''''''''''' + + - What to test: + + - first build (Good); specified by the Jenkins job name and the build + number + - last build (Bad); specified by the Jenkins job name and the build + number + - step (1..n). + + - Data: + + - tests of interest; list of tests (full name is used) which results are + used + +*Example:* + +:: + + TODO + API --- |