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Posted to github@datafusion.apache.org by "andygrove (via GitHub)" <gi...@apache.org> on 2026/09/28 13:47:54 UTC
[PR] docs: update TPC-DS benchmark results for Comet 1.1.0 on Spark 4.2 [datafusion-comet]
andygrove opened a new pull request, #6308:
URL: https://github.com/apache/datafusion-comet/pull/6308
## Which issue does this PR close?
N/A
## Rationale for this change
The README and the TPC-DS benchmark page show 1.0.0 results measured on Spark 3.5.8. This updates them for Comet 1.1.0, which is about to be released, measured on Spark 4.2.0.
## What changes are included in this PR?
- New result files in `benchmarks/results/1.1.0/` (`spark-tpcds.json`, `comet-tpcds.json`), in the same format as the 1.0.0 ones.
- New charts in `docs/source/_static/images/benchmark-results/1.1.0/`, generated with `benchmarks/tpc/generate-comparison.py`.
- The README and `benchmark-results/tpc-ds.md` now use the 1.1.0 charts. The TPC-DS page now states the Spark and Comet versions and that each query was run twice (mean reported).
- New README headline: **~1.8x speedup over Spark 4.2, ~45% cost savings** (was ~2x and ~50%). The speedup ratio drops because Spark itself got much faster between 3.5.8 and 4.2.0; Comet's own time also improved.
| | Spark | Comet | Speedup |
|---|---:|---:|---:|
| 1.0.0 (Spark 3.5.8) | 1410.4s | 637.5s | 2.21x |
| 1.1.0 (Spark 4.2.0) | 966.4s | 524.7s | 1.84x |
Across the 103 queries, the geometric mean speedup is 1.66x. Comet is slower than Spark on 4 queries, most notably q54 (also slower in 1.0.0) and q68 (1.4s in 1.0.0, 3.9s in 1.1.0).
Spark 4.2 support is still experimental. I used it as the headline because it's the newest Spark version, but I'm happy to switch the headline comparison to 4.1 if people prefer.
## How are these changes tested?
The benchmarks ran TPC-DS SF1000 (Parquet) on the same EKS setup as the 1.0.0 results (`r6i.24xlarge`, data in S3), with the configuration documented on the page:
- Spark 4.2.0 (Scala 2.13), Comet built from `branch-1.1` (`ee3f239`).
- 32 executors × 16 cores.
- 2 iterations per query, no errors.
I checked from each run's Spark environment that both used the documented settings, and that Comet was fully disabled in the Spark run.
`prettier --check` passes on the changed Markdown.
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Re: [PR] docs: update TPC-DS benchmark results for Comet 1.1.0 on Spark 4.2 [datafusion-comet]
Posted by "andygrove (via GitHub)" <gi...@apache.org>.
andygrove merged PR #6308:
URL: https://github.com/apache/datafusion-comet/pull/6308
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