I don't think it's B, I'd pick A instead. tstats is faster since it runs earlier in the pipeline so it doesn't have to wait for field extraction. Trap is thinking it's about metadata only.
Q: 7
Why is tstats more efficient than stats for large datasets?
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Discussion
Option B. tstats is more efficient because it uses indexed metadata, not raw event data.
I actually think C makes sense. Since tstats has SQL-like syntax, maybe that's why it's efficient on huge Splunk datasets.
B imo, tstats pulls from indexed metadata not the raw events, so it's just quicker with huge datasets.
B tbh, most miss that trap in A. The key is tstats reads directly from indexed metadata (no need to hit raw logs), which makes it way faster for big data sets.
Its B, tstats works off indexed metadata so it skips reading raw event data. Much faster for big searches. Anyone disagree?
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Question 7 of 15