Getting Data In

Hunk - Conditional Record Format

tt1
Explorer

Hi,

I have an input file in the format as follows;

1|{json_data}

1|{more_json_data}

2|aa|bb|cc

3|11|aa|bb|dd

The 1's would always be the JSON, and the 2's and 3's would always be the csv (2 format being slightly different to 3).

I would probably use the 1's separately from the others.

How can you handle different formats?

Any thoughts appreciated?

Tags (4)
0 Karma
1 Solution

Ledion_Bitincka
Splunk Employee
Splunk Employee

Having different kinds of formatted data in the same file is pretty unusual, but there are a couple of ways you can go about parsing this:

  1. Use props/transforms.conf to parse the data (see examples below)
  2. Write a custom data preprocessor to parse the data

.

system/local/props.conf
[source::/path/to/source]
KV_MODE = JSON
SHOULD_LINEMERGE = false
# uncomment line below if your data has no timestamps
#DATETIME_CONFIG = NONE

REPORT-recs = handle-record-2, handle-record-3
SEDCMD-json = s/^1\|(.*)/\1/g

system/local/transforms.conf
[handle-record-2]
REGEX = ^2\|(?<field1>[^\|]+)\|

[handle-record-3]
REGEX = ^3\|(?<field1>[^\|]+)\|

Here's an link that shows how you can anonymize data in Splunk which you might find useful.

View solution in original post

Ledion_Bitincka
Splunk Employee
Splunk Employee

Having different kinds of formatted data in the same file is pretty unusual, but there are a couple of ways you can go about parsing this:

  1. Use props/transforms.conf to parse the data (see examples below)
  2. Write a custom data preprocessor to parse the data

.

system/local/props.conf
[source::/path/to/source]
KV_MODE = JSON
SHOULD_LINEMERGE = false
# uncomment line below if your data has no timestamps
#DATETIME_CONFIG = NONE

REPORT-recs = handle-record-2, handle-record-3
SEDCMD-json = s/^1\|(.*)/\1/g

system/local/transforms.conf
[handle-record-2]
REGEX = ^2\|(?<field1>[^\|]+)\|

[handle-record-3]
REGEX = ^3\|(?<field1>[^\|]+)\|

Here's an link that shows how you can anonymize data in Splunk which you might find useful.

tt1
Explorer

Many thanks for answering.

I will work through these solutions, but overall I think you are right in that this data is pretty unusual. Splitting the data prior to HDFS might well be the best idea.

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!

Laser Bananas and Edge Hubs: Exploring Operational Technology (OT) Data Through a ...

  OT is a different environment to traditional IT and can have interesting challenges when interfacing the ...

Event Series: Mastering AI Tokenomics and Splunk Agent Observability

Beyond the Black Box: Correlating AI Performance and Tokenomics with Splunk Agent Observability   As ...

span_metrics: The OpenTelemetry-Idiomatic Way to See Inside Your Services

You open a trace in Splunk Observability Cloud and everything looks fine. One root span, order-pipeline, with ...