I'm looking to create a chart that shows the pass/fail rate of an export process by code release dates rather than discretized time spans. Each release about a month long but they may vary by a few days and typically span between 2 months (i.e. Oct. 14th to Nov 19th). My initial thoughts are to put the release dates into a .csv file with the following fields: release,priorreleasedate,implementationdate release1,01/15/2020,02/13/2020 release2,02/13/2020,03/14/2020 I have imported a similar .csv table with the lookup definition name "release_dates". Then I would like to count the number of pass/fails that occurred during each release. So the end result would be a column chart with Release number on the X-axis and count on the Y-axis. My intial search to get the events (or transaction) for pass/fail counts is as follows. index="myindex" sourcetype="mysourcetype" | transaction key startswith="Export Job #" endswith="Exported OR Error" | eval result=if(eventtype="export_successful","Pass","Fail") ...But I am stuck as to how I would compare the _time of these events with the date ranges in the release_dates lookup table. Any direction would be much appreciated!
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