![]() ![]() Use a KV Store lookup when you have a large lookup table or a table that is updated often.Ī Keyhole Markup Zipped (KMZ) or Keyhole Markup Language (KML), used to define boundaries of mapped regions such as countries, US states, and US counties.Ī geospatial lookup matches location coordinates in your events to geographic feature collections in a KMZ or KML file and outputs fields to your events that provide corresponding geographic feature information encoded in the KMZ or KML, like country, state, or county names. Matches fields in your events to fields in a KV Store collection and outputs corresponding fields in that collection to your events. Uses Python scripts or binary executables to populate your events with field values from an external source. See About datasets.Īn external source, such as a DNS server. Use CSV lookups when you have small sets of data that is relatively static.ĬSV inline lookup table files and inline lookup definitions that use CSV files are both dataset types. ![]() Each column in a CSV table is interpreted as the potential values of a field. Also referred to as a static lookup because CSV files represent static tables of data. Populates your events with fields pulled from CSV files. If you have Splunk Enterprise or Splunk Light and have access to the configuration files for your Splunk deployment, you can configure lookups by editing configuration files. You can create lookups in Splunk Web through the Settings pages for lookups. If Splunk software finds those field-value combinations in your lookup table, Splunk software will append the corresponding field-value combinations from the table to the events in your search. Splunk software uses lookups to match field-value combinations in your event data with field-value combinations in external lookup tables. Your search wasn't stopping because it didn't find a match for the 10th entry it was stopping because you didn't specify an alternate value for maxsearches.Lookups enrich your event data by adding field-value combinations from lookup tables. If you don't specify a value for maxsearches, the default is 10 - which is exactly what you were hitting. But if you do use it, you should be aware of the maxsearches attribute. And nearly every time you want to use map, there will be a more efficient way to structure your search that doesn't use it. In general, using map should be an option of last resort, because Splunk spins up a whole new search for each mapped subsearch, using an incredible amount of resources. ![]() That's what the | where isnotnull(email) part of my answer solves. The reason search is returning everything (and not just the items with matches in file2.csv) is because there was no filter at the end of the search to retain only the events with matches. If there are other fields in file2.csv that you want to display, you can add them to the end of the line starting with | lookup like this: | lookup file2.csv "Employee ID" AS EmpNum OUTPUT email, field2, field3 | lookup file2.csv "Employee ID" AS EmpNum OUTPUT email | fields "Employee Name" "Employee Number" I'm going to revise what proposed and also explain why your map command is failing.įirst, a revised version of the search that doesn't use map: | inputlookup file1.csv ![]()
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