Splunk Search

Splunk Query On Selecting The Range Of Vales For dashboard

Vigneshprasanna
Explorer

Hi Team,

Would like to design the query for the below requirement where we wanted to capture 2 dash boards as below for the information we have as logs (refer test data in this attachment which is the sample log data)
Dash board1 – To get details of the logs based on the field Thread_number and Application_MSG having APP Request (which is part of my incoming log data). This is designed already.
Timestamp1 – Combination of Thread_number and Application_MSG having APP Request occurnace
Timestamp2 - Combination of Thread_number and Application_MSG having APP Request next occurance and to be continued for each occurrence

Dash board2 – This is a drill down dashboard from Dashboard1 which has to return the list of lines between the rows displayed in Dashboard1

Test Data :
2018-05-14 14:25:00,093 INFO STDOUT 14:25:00,093 [com.xxx] INFO - APP Request [ RequestInformation1 ]
2018-05-14 14:25:00,108 INFO com.777 Transform - Completed server response transform. Took 31 ms.
2018-05-14 14:25:10,189 INFO com.777 Listing exeuction. Took 32 ms.
2018-05-14 14:25:12,109 INFO com.777 Query processed.
2018-05-14 14:25:13,112 INFO com.777 Query processed.
2018-05-14 14:25:14,053 INFO STDOUT 14:25:00,093 [com.xxx] INFO - APP Request [ RequestInformation2 ]
2018-05-14 14:25:13,124 INFO com.777 Response processed.

Fields
AUDIT_TIME, LOGGING_PRIORITY, LOG_LEVEL, CONNECTION_FACTOR ,THREAD_NUMBER ,,AUDIT_DATA

Regular Expression

^(?P<AUDIT_TIME>[^,]+)[^,\n]*,(?P<LOGGING_PRIORITY>\d+)\s+(?P<LOG_LEVEL>\w+)\s+(?P<CONNECTION_FACTIRY>[^ ]+)\s+(?P<THREAD_NUMBER>[^ ]+)\s+(?P<AUDIT_DATA>.+)

AUDIT_TIME: 2018-05-14 14:25:00alt text
Logging_Priority : 331
Log_Level : INFO
Connection_factory : [STDOUT]
Thread_Number : (http-123.123.123-800-8)
AUDIT_TIME: 14:25:00,093 [com.xxx] INFO - APP Request [ RequestInformation1 ]

Dashbaord1 shows
2018-05-14 14:25:00,093 INFO STDOUT 14:25:00,093 [com.xxx] INFO - APP Request [ RequestInformation1 ]
2018-05-14 14:25:14,093 INFO STDOUT 14:25:00,093 [com.xxx] INFO - APP Request [ RequestInformation2 ]

Expected output in dash board2
2018-05-14 14:25:00,093 INFO STDOUT 14:25:00,093 [com.xxx] INFO - APP Request [ RequestInformation1 ]
2018-05-14 14:25:00,108 INFO com.777 Transform - Completed server response transform. Took 31 ms.
2018-05-14 14:25:10,108 INFO com.777 Listing exeuction. Took 32 ms.
2018-05-14 14:25:12,108 INFO com.777 Query processed.
2018-05-14 14:25:13,108 INFO com.777 Query processed.
2018-05-14 14:25:14,093 INFO STDOUT 14:25:00,093 [com.xxx] INFO - APP Request [ RequestInformation2 ]
2018-05-14 14:25:13,108 INFO com.777 Response processed.

In the above data we have mapped THREAD_NUMBER: http-123.123.123-800-8 as value A and AUDIT_DATA: "APP Request" as value B
So now I’m trying to print the below events as they are the values between the same combination values of A & B (i.e. THREAD_NUMBER: http-123.123.123-800-8 & AUDIT_DATA: "APP Request")

2018-05-14 14:25:00,093 INFO STDOUT 14:25:00,093 [com.xxx] INFO - APP Request [ RequestInformation1 ]
2018-05-14 14:25:00,108 INFO com.777 Transform - Completed server response transform. Took 31 ms.
2018-05-14 14:25:10,108 INFO com.777 Listing exeuction. Took 32 ms.
2018-05-14 14:25:12,108 INFO com.777 Query processed.
2018-05-14 14:25:13,108 INFO com.777 Query processed.

0 Karma
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Index This | What travels the world but is also stuck in place?

April 2026 Edition  Hayyy Splunk Education Enthusiasts and the Eternally Curious!   We’re back with this ...

Discover New Use Cases: Unlock Greater Value from Your Existing Splunk Data

Realizing the full potential of your Splunk investment requires more than just understanding current usage; it ...

Continue Your Journey: Join Session 2 of the Data Management and Federation Bootcamp ...

As data volumes continue to grow and environments become more distributed, managing and optimizing data ...