Monitoring Bucket Health in Splunk Enterprise

Why is understanding small buckets important? Bucket health is important to monitor because it can adversely impact Splunk search performance. Unhealthy bucket growth — especially the asymmetric creation of small vs. large sized buckets — can lead to slower or paused searches by requiring each search to read more (TSIDX) files and perform more disk I/O. This leads to slower or paused searches, and at its worst can cause search and indexing services to become unavailable to users. With limited resources left available, indexing queues can become blocked or full, resulting in data latency that impacts alerting and other time critical searches.

How Do Buckets Work?

Splunk Enterprise stores indexed data in buckets, which are directories containing both the data and index files into the data. An index typically consists of many buckets, organized by age of the data. To learn more about buckets, read the Splunk Docs here. New bucket creation is a normal part of Splunk internal operations — as the volume of indexed data grows, so do buckets. New buckets can also be created from routine system tasks such as indexer cluster restarts, instance shutdowns and last recently used cache eviction.

Small buckets, or buckets that were rolled prematurely before reaching their maximum configured size, directly impact search performance. The more buckets a search needs to read, the more resources a search requires to complete. Thus, a telltale sign of unhealthy bucket growth is the presence of small-sized buckets.

What Causes Unhealthy Buckets?

In most cases, the presence of very small buckets are indicative of data issues, particularly timestamp mismatches. When the events coming into an index are outside of a allowed time span for a bucket, Splunk Enterprise will create a new bucket. For example, the following situations can lead to buckets rolling prematurely:

• Sourcetypes mixing different data sources from the past, and were generated in different timeframes
• Systems that have incorrect time settings on the source, or applications logging incorrect timestamps
• Timestamp formats (strftime) in events that aren't defined properly, or are autodetected incorrectly by Splunk Enterprise.

When timestamps vary, buckets capture fewer events before they end up getting rolled. This is because Splunk limits the number of hot buckets that are open at any time point in time and timestamp mismatches cause more hot buckets to be created and rolled.

What Can I Do To Address the Root Cause(s)?

• Keep an eye on Health Report bucket monitoring
• Look for and address timestamp mismatch issues
• Evaluate the use of automation tools which trigger system events such as indexer cluster restarts and shutdowns
• Merge an index’s small buckets into larger ones using the bucket-merge command. See Splunk Docs here.

The key questions to ask to determine if small buckets are impacting your deployment are:

• How many unhealthy (small) buckets exist in my deployment? How much does it contribute to my overall deployment? On a per-index basis?
• Which indexes are the top contributors to small buckets?
• What is the correlation between system events and small bucket creation?

Here are some searches you can run to better understand the distribution and presence of small buckets in your deployment:

On each Cluster Manager, just to understand whether bucketing is behaving evenly on IDXers (recommended time range: 7 days):

| rest splunk_server=local /services/cluster/master/peers | rename 
label AS peer_name | stats sum(bucket_count) AS bucket_count by 
peer_name | sort - bucket_count

On each Search Head, to understand whether buckets being rolled are too small (recommended time range: 1 day & 7 days):

index=_internal source=*/splunkd.log* hotbucketroller | stats count by
caller | sort - count

If these exploratory searches determine the presence of too many small buckets in your deployment, you should investigate your data ingestion rules to prevent the problem from happening again in the future. As always, reach out to the Splunk community on Splunk Answers and join an upcoming user group to ask any additional questions about running a high-performing Splunk Enterprise deployment.