docs: Add documentation for running spark-sql-perf [WIP]#3950
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andygrove wants to merge 3 commits intoapache:mainfrom
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docs: Add documentation for running spark-sql-perf [WIP]#3950andygrove wants to merge 3 commits intoapache:mainfrom
andygrove wants to merge 3 commits intoapache:mainfrom
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Add a new guide covering TPC-DS data generation and benchmarking using the databricks/spark-sql-perf framework. This fills the gap in existing docs which only cover TPC-H data generation via tpchgen-cli. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…port [skip ci] Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
andygrove
changed the title
…y, and spark-sql-perf runner Use partitioned tables for data generation, add off-heap memory config for Comet, add spark.executor.extraClassPath for standalone mode, remove analyzeTables step, and replace Comet CLI benchmarking instructions with spark-sql-perf experiment runner. [skip ci] Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Which issue does this PR close?
N/A
Rationale for this change
Many companies use
spark-sql-perfto runTPC-DS. For example, AWS Labs use it to benchmark Comet. See https://awslabs.github.io/data-on-eks/docs/benchmarks/spark-datafusion-comet-benchmark.To be able to fix reported bugs or investigate performance issues, Comet maintainers need to know how to run these benchmarks.
What changes are included in this PR?
Documentation
How are these changes tested?
Manually (WIP)