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I this search below to calculate compression rate of my index
| dbinspect index=myIndexName
| stats sum(rawSize) AS rawTotal, sum(sizeOnDiskMB) AS diskTotalinMB
| eval rawTotalinMB=(rawTotal / 1024 / 1024) | fields - rawTotal
| eval compression=round(diskTotalinMB / rawTotalinMB * 100, 2)
| table compression
Then I want to further use the compression value in below search in place of constant value .4
index=_internal source=*metrics.log group=per_index_thruput series=myIndexName | eval MB = round
(kb/1024,2) * .4 | reverse | accum MB as totalvalue | timechart last(totalvalue) span=1d
I tried subsearch and join, but no success. Can any one suggest a solution, hint?
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Here's a generic example of how to pass a subsearch result into an eval:
| stats count | eval foo = exact(42 * [stats count as search | eval search = 0.1])
This should be translatable to your case, make sure to use the special field search
to avoid quotes being added.
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Here's a generic example of how to pass a subsearch result into an eval:
| stats count | eval foo = exact(42 * [stats count as search | eval search = 0.1])
This should be translatable to your case, make sure to use the special field search
to avoid quotes being added.
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Works the same way, it's the first command of the subsearch:
| stats count | eval foo = exact(42 * [dbinspect index=main
| stats sum(rawSize) AS rawTotal, sum(sizeOnDiskMB) AS diskTotalinMB
| eval search=diskTotalinMB / rawTotal * 1024 * 1024 | fields search])
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This worked for me. Thanks for your help.
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Thanks for your reply. however in my case I want to use dbinspect and use its output for sub search. dbinspect has to be a first statement in the search which I can not use as a subsearch. Some sample wrt my scenario will be of great help.
