---
title: "The Great Eight: props.conf Settings Every Splunk Source Type Needs"
description: The eight props.conf attributes to set on every new Splunk source type, so events break, timestamp, and truncate correctly the first time.
---

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## [The Great Eight: props.conf Settings Every Splunk Source Type Needs](https://blog.arcusdata.io/the-great-eight-propsconf-settings-every-splunk-source-type-needs)

[Andrew Leonzo](https://blog.arcusdata.io/author/andrew-leonzo) - October 2025

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Most bad data in Splunk is not a Splunk problem. It is a parsing problem, and it traces back to a source type that went into production without the settings that control how Splunk breaks, timestamps, and truncates events. Get those wrong and you pay for it three ways: wasted license volume on line-merged junk, searches that miss events because the timestamp landed in the wrong day, and dashboards that quietly undercount.

There is a short list of props.conf attributes that fixes almost all of it. Splunk practitioners call it the "Great Eight." Set these every time you onboard a new source type, before it ever reaches a production index.

## Why these eight

Splunk applies index-time settings once, when the event is written. If the source type is wrong, re-indexing is the only real fix, and in a regulated environment that means a change record and a maintenance window. The Great Eight covers the three things Splunk has to get right at index time: where one event ends and the next begins, what time the event happened, and how much of the event to keep.

## The settings

**1. LINE_BREAKER.** Anchor it to the pattern that starts a new event, not the default newline. This is the single most important setting for multi-line data. A regex that captures the boundary in a capturing group tells Splunk exactly where to cut.

**2. SHOULD_LINEMERGE = false.** Turn off line merging. With LINE_BREAKER doing the work, line merging is slow, unpredictable, and usually wrong. False is the default you want for almost every modern source type.

**3. TRUNCATE.** Set it to your maximum expected event length plus roughly ten percent. Never leave it at 0, which disables truncation and lets a single runaway event balloon your ingest. Never leave it at the 10,000-byte default if your events run longer, because Splunk will silently cut them.

**4. EVENT_BREAKER_ENABLE = true and EVENT_BREAKER.** On universal forwarders 6.5 and later, these let the forwarder break events before they reach the indexer, which keeps distribution even across your indexers. Match EVENT_BREAKER to your LINE_BREAKER pattern.

**5. TIME_PREFIX.** Anchor Splunk to the start of the timestamp with a regex. Without it, Splunk guesses, and guessing is how you end up with events dated 1970 or filed under the wrong day.

**6. MAX_TIMESTAMP_LOOKAHEAD.** Set it to the exact character length of your timestamp. This stops Splunk from scanning further into the event and grabbing a number that looks like a date but is not.

**7. TIME_FORMAT.** Specify the timestamp format explicitly using strptime syntax. Explicit beats inferred every time, especially for formats Splunk handles ambiguously, like day-first dates.

**8. CHARSET and ANNOTATE_PUNCT (the optional two).** Set CHARSET when your data is not UTF-8. Set ANNOTATE_PUNCT = false to save indexing overhead you almost never use. These round out the list.

## Name it right and ship it right

The settings only help if they land in the right place. Name the source type `vendor:product:technology:format` so it is self-documenting and plays well with the Common Information Model. Prefer a Splunk-certified or CIM-compliant add-on when one exists, so field extractions and CIM mapping come for free. Deploy the configuration in a custom app, never in system/local, so it survives upgrades and stays under version control.

## Where this fits

Source typing is stage three of a larger workflow. For the full picture, from intake through hand-off, see [Data onboarding without the rework](https://blog.arcusdata.io/data-onboarding-without-the-rework-splunk-checklist). And if you operate under NERC CIP, clean onboarding is not just hygiene, it is evidence: [Onboarding data under NERC CIP](https://blog.arcusdata.io/onboarding-data-under-nerc-cip-log-hygiene-compliance-evidence). [Reach out for our one-page Data Onboarding Checklist](https://arcusdata.io/data-onboarding-checklist).

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