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docs: Run prettier on all markdown files (#2782)
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.github/pull_request_template.md

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<!--
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Why are you proposing this change? If this is already explained clearly in the issue then this section is not needed.
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Explaining clearly why changes are proposed helps reviewers understand your changes and offer better suggestions for fixes.
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Explaining clearly why changes are proposed helps reviewers understand your changes and offer better suggestions for fixes.
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## What changes are included in this PR?

CHANGELOG.md

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# Apache DataFusion Comet Changelog
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Comprehensive changelogs for each release are available [here](dev/changelog).
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Comprehensive changelogs for each release are available [here](dev/changelog).

README.md

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performance of Apache Spark workloads while leveraging commodity hardware and seamlessly integrating with the
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Spark ecosystem without requiring any code changes.
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Comet also accelerates Apache Iceberg, when performing Parquet scans from Spark.
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Comet also accelerates Apache Iceberg, when performing Parquet scans from Spark.
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[Apache DataFusion]: https://datafusion.apache.org
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Comet delivers a performance speedup for many queries, enabling faster data processing and shorter time-to-insights.
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The following chart shows the time it takes to run the 22 TPC-H queries against 100 GB of data in Parquet format
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The following chart shows the time it takes to run the 22 TPC-H queries against 100 GB of data in Parquet format
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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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![](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
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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
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you to run your own benchmarks.
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Results for our benchmark derived from TPC-DS are available in the [benchmarking guide](https://datafusion.apache.org/comet/contributor-guide/benchmark-results/tpc-ds.html).
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## Use Commodity Hardware
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Comet leverages commodity hardware, eliminating the need for costly hardware upgrades or
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specialized hardware accelerators, such as GPUs or FPGA. By maximizing the utilization of commodity hardware, Comet
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specialized hardware accelerators, such as GPUs or FPGA. By maximizing the utilization of commodity hardware, Comet
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ensures cost-effectiveness and scalability for your Spark deployments.
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## Spark Compatibility
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[DataFusion Slack and Discord channels](https://datafusion.apache.org/contributor-guide/communication.html) to connect
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with other users, ask questions, and share your experiences with Comet.
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Follow [Apache DataFusion Comet Overview](https://datafusion.apache.org/comet/user-guide/overview.html) to get more detailed information
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Follow [Apache DataFusion Comet Overview](https://datafusion.apache.org/comet/user-guide/overview.html) to get more detailed information
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## Contributing
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benchmarks/README.md

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--queries /opt/datafusion-benchmarks/tpcds/queries-spark \
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--iterations 1
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```
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dev/benchmarks/README.md

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# Comet Benchmarking Scripts
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This directory contains scripts used for generating benchmark results that are published in this repository and in
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This directory contains scripts used for generating benchmark results that are published in this repository and in
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the Comet documentation.
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For full instructions on running these benchmarks on an EC2 instance, see the [Comet Benchmarking on EC2 Guide].

dev/changelog/0.10.0.md

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- fix: split expr.proto file (new) [#2267](https://github.com/apache/datafusion-comet/pull/2267) (kination)
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- fix: handle cast to dictionary vector introduced by case when [#2044](https://github.com/apache/datafusion-comet/pull/2044) (parthchandra)
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- fix: Remove check for custom S3 endpoints [#2288](https://github.com/apache/datafusion-comet/pull/2288) (andygrove)
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- fix: implement lazy evaluation in Coalesce function [#2270](https://github.com/apache/datafusion-comet/pull/2270) (coderfender)
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- fix: implement lazy evaluation in Coalesce function [#2270](https://github.com/apache/datafusion-comet/pull/2270) (coderfender)
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- fix: Update benchmarking scripts [#2293](https://github.com/apache/datafusion-comet/pull/2293) (andygrove)
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- fix: Fix regression in NativeConfigSuite [#2299](https://github.com/apache/datafusion-comet/pull/2299) (andygrove)
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- fix: Validating object store configs should not throw exception [#2308](https://github.com/apache/datafusion-comet/pull/2308) (andygrove)
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- docs: Use `sphinx-reredirects` for redirects [#2324](https://github.com/apache/datafusion-comet/pull/2324) (andygrove)
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- docs: Add note about Root CA Certificate location with native scans [#2325](https://github.com/apache/datafusion-comet/pull/2325) (andygrove)
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- docs: Stop hard-coding Comet version in docs [#2326](https://github.com/apache/datafusion-comet/pull/2326) (andygrove)
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- docs: Update supported expressions and operators in user guide [#2327](https://github.com/apache/datafusion-comet/pull/2327) (andygrove)
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- docs: Update supported expressions and operators in user guide [#2327](https://github.com/apache/datafusion-comet/pull/2327) (andygrove)
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- docs: Update Iceberg docs for 0.10.0 release [#2355](https://github.com/apache/datafusion-comet/pull/2355) (hsiang-c)
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**Other:**
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Thank you also to everyone who contributed in other ways such as filing issues, reviewing PRs, and providing feedback on this release.
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dev/changelog/0.11.0.md

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Thank you also to everyone who contributed in other ways such as filing issues, reviewing PRs, and providing feedback on this release.
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dev/changelog/0.8.0.md

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dev/changelog/0.9.0.md

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- fix: map parquet field_id correctly (native_iceberg_compat) [#1815](https://github.com/apache/datafusion-comet/pull/1815) (parthchandra)
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- fix: cast_struct_to_struct aligns to Spark behavior [#1879](https://github.com/apache/datafusion-comet/pull/1879) (mbutrovich)
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- fix: correctly handle schemas with nested array of struct (native_iceberg_compat) [#1883](https://github.com/apache/datafusion-comet/pull/1883) (parthchandra)
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- fix: set RangePartitioning for native shuffle default to false [#1907](https://github.com/apache/datafusion-comet/pull/1907) (mbutrovich)
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- fix: set RangePartitioning for native shuffle default to false [#1907](https://github.com/apache/datafusion-comet/pull/1907) (mbutrovich)
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- fix: conflict between #1905 and #1892. [#1919](https://github.com/apache/datafusion-comet/pull/1919) (mbutrovich)
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- fix: Add overflow check to evaluate of sum decimal accumulator [#1922](https://github.com/apache/datafusion-comet/pull/1922) (leung-ming)
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- fix: Fix overflow handling when casting float to decimal [#1914](https://github.com/apache/datafusion-comet/pull/1914) (leung-ming)
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- chore: Enable more complex type tests [#1753](https://github.com/apache/datafusion-comet/pull/1753) (andygrove)
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- chore: Add `scanImpl` attribute to `CometScanExec` [#1746](https://github.com/apache/datafusion-comet/pull/1746) (andygrove)
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- chore: Prepare for DataFusion 48.0.0 [#1710](https://github.com/apache/datafusion-comet/pull/1710) (andygrove)
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- Docs: Setup Comet on IntelliJ [#1760](https://github.com/apache/datafusion-comet/pull/1760) (coderfender)
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- Docs: Setup Comet on IntelliJ [#1760](https://github.com/apache/datafusion-comet/pull/1760) (coderfender)
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- chore: Reenable nested types for CometFuzzTestSuite with int96 [#1761](https://github.com/apache/datafusion-comet/pull/1761) (mbutrovich)
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- chore: Enable partial Spark SQL tests for `native_iceberg_compat` scan [#1762](https://github.com/apache/datafusion-comet/pull/1762) (andygrove)
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- chore: [native_iceberg_compat / native_datafusion] Ignore Spark SQL Parquet encryption tests [#1763](https://github.com/apache/datafusion-comet/pull/1763) (andygrove)
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dev/changelog/0.9.1.md

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