Splunk Search

Combine two separate indexes based on any permutation of the matching ID fields

eyeglassescase
Observer

Hi Splunk Community,

 

I need help to write a Splunk query to join two different indexes using any Splunk command that will satisfy the logic noted below.

 

Two separate ID fields in Index 2 must match two separate ID fields in Index 1 using any permutation of index 2’s three ID fields. Here is an outline of the logic below.

 

Combine index 1 record with index 2 record into a single record when any matching condition is satisfied below:

(ID_1_A=ID_2_A AND ID_1_B=ID_2_B)

OR

(ID_1_A=ID_2_A AND ID_1_B=ID_2_C)

OR

(ID_1_A=ID_2_B AND ID_1_B=ID_2_A)

OR

(ID_1_A=ID_2_B AND ID_1_B=ID_2_C)

OR

(ID_1_A=ID_2_C AND ID_1_B=ID_2_A)

OR

(ID_1_A=ID_2_C AND ID_1_B=ID_2_B)

Sample Data:

 

Index 1:

-----------------------

|ID_1_A |ID_1_B|

------------------------

|123       |345      |

------------------------

| 345      |123      |

------------------------

 

Index 2:

________________________

|ID_2_A   | ID_2_B   | ID_2_C|

----------------------------------------

|123         |345           |999       |

----------------------------------------

|123         |999           |345       |

----------------------------------------

|345         |123            |999      |

----------------------------------------

|999         |123           | 345       |

----------------------------------------

| 345       | 999           |123        |

----------------------------------------

 

Any help would be greatly appreciated.

 

Thanks.

 

Labels (4)
0 Karma

ITWhisperer
SplunkTrust
SplunkTrust
| eval correlation1=coalesce(ID_1_A, ID_2_A)
| eval correlation2=coalesce(ID_1_B, ID_2_B)
| eventstats values(index1data) as index1data, values(index2data) as index2data by correlation1 correlation2
| eval correlation1=coalesce(ID_1_A, ID_2_A)
| eval correlation2=coalesce(ID_1_B, ID_2_C)
| eventstats values(index1data) as index1data, values(index2data) as index2data by correlation1 correlation2
| eval correlation1=coalesce(ID_1_A, ID_2_B)
| eval correlation2=coalesce(ID_1_B, ID_2_A)
| eventstats values(index1data) as index1data, values(index2data) as index2data by correlation1 correlation2
| eval correlation1=coalesce(ID_1_A, ID_2_B)
| eval correlation2=coalesce(ID_1_B, ID_2_C)
| eventstats values(index1data) as index1data, values(index2data) as index2data by correlation1 correlation2
| eval correlation1=coalesce(ID_1_A, ID_2_C)
| eval correlation2=coalesce(ID_1_B, ID_2_A)
| eventstats values(index1data) as index1data, values(index2data) as index2data by correlation1 correlation2
| eval correlation1=coalesce(ID_1_A, ID_2_C)
| eval correlation2=coalesce(ID_1_B, ID_2_B)
| eventstats values(index1data) as index1data, values(index2data) as index2data by correlation1 correlation2
0 Karma
Get Updates on the Splunk Community!

Customer Experience | Splunk 2024: New Onboarding Resources

In 2023, we were routinely reminded that the digital world is ever-evolving and susceptible to new ...

Celebrate CX Day with Splunk: Take our interactive quiz, join our LinkedIn Live ...

Today and every day, Splunk celebrates the importance of customer experience throughout our product, ...

How to Get Started with Splunk Data Management Pipeline Builders (Edge Processor & ...

If you want to gain full control over your growing data volumes, check out Splunk’s Data Management pipeline ...