plotParallelismRateImpactOnResponse function

Plot response time against degree of parallelism

Generates a plot of the effect of overall parallelism on response time possibly limited to a single URL in the overall background, the URL whose time is calculated, and by http response type and status.

plotParallelismRateImpactOnResponse(b, 
      intervalLength = 600, 
                        excludeURLOverall="", 
                        includeURLOverall="",
                        excludeResponse="",
                        includeResponse="", 
                        excludeStatus="",
                        includeStatus="",
                        percentileCutoff = 1,
                        title="Degree of Parallelism and Response Time", 
                        subtitle="")

Arguments

• b: a transaction data frame
• intervalLength: length of the intervals (in seconds) that parallelism is calculated over
• excludeURLOverall: a URL to be deleted from the dataset
• includeURLOverall: the URL to be included from the dataset
• excludeResponse: a URL to be excluded from the response time calculation
• includeResponse: the URL to be used for the response time calculation
• excludeStatus: a status to be excluded from the response time calculation, for example success statuses could be excluded. Possible status values are: 'Success', 'Redirect', 'Client Error' or 'Server Error'
• includeStatus: a status to filter URLs by, for example, only include success responses in the response time calculation
• percentileCutoff: exclude values above the specified quantile, intended for use in excluding outlier events that would distort the elapsed time calculation
• title: the plot title
• subtitle: the plot subtitle

Returns

Returns an R base graphics plot. This function is intended to be wrapped in a call to plotSave

Author(s)

Greg Hunt greg@firmansyah.com

Examples

logFileName = logFileNamesGetLast(dataDirectory=datd, 
  directoryNames=c(".", "."), 
  fileNamePattern="*[.]log")[[1]]

cols = logFileFieldsGetIIS(logFileName)

logdf = logFileRead(logFileName, columnList=cols, 
            logTimeZone = "", timeFormat = "")
plotParallelismRateImpactOnResponse(logdf,
            includeStatus="Success",
            excludeResponse="Static Content Requests",
            percentileCutoff=0.95)