I'm having an issue with matching results between two searches utilizing the append command. I realize I could use the join command but my goal is to create a new field labeled Match.
index=type1 EVENT_TYPE=Blah1 KEYFIELD=* | append [search index=type2 EVENT_TYPE=Blah2 | eval KEYFIELD2=field1.field2.field3.field4 | fields KEYFIELD2] | eval results1=if(KEYFIELD=KEYFIELD2,"Match","No Match") | eval results2=if(match(KEYFIELD ,KEYFIELD2),"Match","No Match") | eval results3=if(like(KEYFIELD ,"%".KEYFIELD2."%"), "Match","No Match")
Even though I know there are "matches", my results only come back as No Match.
Any assistance on this would be greatly appreciated.
I still required a field/column within my table stating Match or No Match. In order to accomplish this, I ended up creating a lookup file
lookup ProofOfConcept.CSV KEYFIELD as KEYFIELD OUTPUTNEW KEYFIELD as KEYFIELD2
| eval results1=if(KEYFIELD=KEYFIELD2,"Match","No Match")
When run over the last 24hrs I had both matches and no matches populate, which was to be expected.
(index=type1 EVENT_TYPE=Blah1 KEYFIELD=*) OR (index=type2 EVENT_TYPE=Blah2) | eval KEYFIELD=coalesce(KEYFIELD, field1.field2.field3.field4) | stats values(*) AS * dc(index) AS index_count BY KEYFIELD
Then add some combination of logic using
index=... AND/OR index_count=
You are appending records, which doesn't put them side-by-side. So you will never have a record that has both KEYFIELD and KEYFIELD2 to compare to each other. You will need to use a stats command that correlates the two datasets. What happens if you try this?
index=type1 EVENT_TYPE=Blah1 KEYFIELD=* | append [search index=type2 EVENT_TYPE=Blah2 | eval KEYFIELD=field1.field2.field3.field4 | fields KEYFIELD, index] | stats dc(index) as index_count by KEYFIELD | sort -index_count
There should be some values of KEYFIELD that have an index_count of 2 if there are matches. To filter them, add
|search index_count > 1 to the search.