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Community Content Calendar, November Edition

Anam
Community Manager
Community Manager

Welcome to the November edition of our Community Spotlight! Each month, we dive into the Splunk Community to find brilliant, practical solutions to the real-world challenges our users face. This month, we’re focusing on two tricky scenarios that can stump even seasoned Splunk pros, both involving the art of choosing the right command for the job.

Let's explore these common SPL (Search Processing Language) puzzles and the elegant community-sourced solutions that cracked them.

Challenge #1: The Mystery of the Duplicating Lookup Data

A user bigchungusfan55 was building an essential asset and identity lookup for Splunk ES. They created a daily report to keep it updated, but soon noticed something bizarre: fields with multiple values were duplicating and mashing together. For example, a user in the "Member" and "Executive" categories would look correct on Day 1, but on Day 2, their categories would become "Member, Executive, MemberExecutive," growing exponentially each day. The usual de-duplication commands didn't work, making the mystery even more frustrating.

The Community Solution: It’s Not What You Save, but How You Save It

A community expert and SplunkTrust member bowesmana revealed that the issue wasn't the admin's logic, but a subtle detail in how Splunk saves lookup files.

Think of it this way: by default, Splunk saves a list of values like "Hiking" and "Biking" by writing them on a single line of paper as "Hiking Biking." When you read that paper back, you can't tell they were originally two separate items.

The solution was to tell Splunk to save the file in a special format that preserves multi-value fields. This is like using a container with built-in dividers to keep "Hiking" and "Biking" in their own compartments. When the report reads the file the next day, it understands they are distinct values, and de-duplication works perfectly. The fix was as simple as adding a specific instruction to the outputlookup command, telling it to use this multi-value-aware format.

Key Takeaway: When working with lookups containing lists or multiple values, the default save format can cause chaos. Always specify a format that preserves the data's structure to ensure your updates work as expected.

Challenge #2: The Common Pitfall of Calculating Percentages

Another user, Ombessam wanted to perform a data quality check: for every field in their data, what percentage of values were empty? Their plan was logical: first, calculate the nullCount for each field, and second, get the total number of events.

To combine these, they used the appendcols command to "staple" the total count onto their results. But it didn't work. The total was only added to the very first row of their table, making it impossible to calculate the percentage for any other field.

The Community Solution: The Magic of eventstats

An expert and a SplunkTrust member richgalloway pointed out a classic Splunk lesson: appendcols is almost always the wrong tool for this job.

Instead, they recommended eventstats. Think of eventstats as a magical assistant. It can perform a summary calculation (like a total or an average) on your entire dataset, but instead of creating a separate report, it whispers the result back and adds it as a new column to every single row of your current table.

With eventstats, the user's table was instantly enriched. Every row now had both its individual nullCount and the overall total, making the final percentage calculation a piece of cake. It solved the problem in one efficient step, without needing to stitch separate searches together.

Key Takeaway: When you need to use a summary value (like a total) in a calculation for every row, eventstats is your best friend. It enriches your data in place, whereas appendcols is better suited for joining completely unrelated reports.

Join the Conversation!

These two solutions are perfect examples of how a small piece of expert advice can solve a massive headache, thanks to bowesmana and richgalloway. The Splunk Community is the best place to find these nuggets of wisdom. We encourage you to jump in, ask your toughest questions, and share your own solutions!

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Get featured!

Would you like to feature more solutions like this? Reach out @Anam Siddique on Slack in our Splunk Community Slack workspace to highlight your question, answer, or tip in an upcoming Community Content post! 💡 Our contributors who are highlighted for providing a solution will be given a $25 Cisco Store gift card for their contributions

Here are some great ways to get involved and expand your Splunk expertise:

Splunk Answers, Community Blogs, Splunk Champions, Community Slack, UserGroups, and Badges Program!

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Dive into these resources today and make the most of your Splunk journey!

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