![]() ![]() An unexpected character is reached at ')'. Get-RegAlwaysInstallElevated Get-RegAlwaysInstallElevatedĮrror I get is: Error in 'eval' command: The expression is malformed. Set-MasterBootRecord Set-MasterBootRecord ![]() I needed to do this to see what strings were matching my powershell script blocks to weed out high false positive rates, but I keep getting a eval malformed error when I try to example above. These unstructured indexed data/logs are only categorised based on different sourcetypes and as you can see in the lookup csv file, each line shows the substring and it's corresponding sourcetype which needs to be searched. Essentially, this approach takes advantage of the fact that there is no restriction on multiple inputs using the same token name. Just wondering if there's another method to expedite searching unstructured log files for all the values in my lookup csv file and return the stats/count/etc. Approach A: Two Inputs, One Token This approach is a little easier to implement but a little more awkward for users of the dashboard. This is the name the lookup table file will have on the Splunk server. Enter ipv6test.csv as the destination filename. Click Choose File to look for the ipv6test.csv file to upload. Select a Destination app from the drop-down list. Click Add new next to Lookup table files. As there are huge number of events and quite large number of substrings in the csv file, it takes ages to return the result. Select Settings > Lookups to go to the Lookups manager page. I run the above query (returning "Field-Substring" field) against some index data/events to count the number of occurrences of substrings. ![]() In my case, I have a structured data file like this:įield-ID,Field-SourceType,Field-SubstringĢ,sourcetype1,Another other text with WILDCARD * hereģ,sourcetype2,This is a different text for different sourcetype The solution is working fine but it uses a lot of resources when the number of rows in csv file and index size grow. ![]()
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