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Merge branch 'main' into iceberg-rust
# Conflicts: # native/Cargo.lock
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README.md

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@@ -48,23 +48,23 @@ The following chart shows the time it takes to run the 22 TPC-H queries against
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using a single executor with 8 cores. See the [Comet Benchmarking Guide](https://datafusion.apache.org/comet/contributor-guide/benchmarking.html)
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for details of the environment used for these benchmarks.
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When using Comet, the overall run time is reduced from 652 seconds to 268 seconds, a 2.4x speedup.
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When using Comet, the overall run time is reduced from 687 seconds to 302 seconds, a 2.2x speedup.
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![](docs/source/_static/images/benchmark-results/0.9.0/tpch_allqueries.png)
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![](docs/source/_static/images/benchmark-results/0.11.0/tpch_allqueries.png)
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Here is a breakdown showing relative performance of Spark and Comet for each TPC-H query.
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![](docs/source/_static/images/benchmark-results/0.9.0/tpch_queries_compare.png)
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![](docs/source/_static/images/benchmark-results/0.11.0/tpch_queries_compare.png)
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The following charts shows how much Comet currently accelerates each query from the benchmark.
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### Relative speedup
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![](docs/source/_static/images/benchmark-results/0.9.0/tpch_queries_speedup_rel.png)
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![](docs/source/_static/images/benchmark-results/0.11.0/tpch_queries_speedup_rel.png)
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### Absolute speedup
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![](docs/source/_static/images/benchmark-results/0.9.0/tpch_queries_speedup_abs.png)
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![](docs/source/_static/images/benchmark-results/0.11.0/tpch_queries_speedup_abs.png)
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These benchmarks can be reproduced in any environment using the documentation in the
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[Comet Benchmarking Guide](https://datafusion.apache.org/comet/contributor-guide/benchmarking.html). We encourage

docs/requirements.txt

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setuptools
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sphinx>=7.0,<8.0
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sphinx-reredirects
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pydata-sphinx-theme>=0.15.0,<0.16.0
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pydata-sphinx-theme>=0.16.1,<0.17.0
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myst-parser>=2.0,<4.0
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maturin
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jinja2
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