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Update links to datafusion.apache.org (#10195)
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CONTRIBUTING.md

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under the License.
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-->
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See the [Contributor Guide](https://arrow.apache.org/datafusion/contributor-guide/index.html)
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See the [Contributor Guide](https://datafusion.apache.org/contributor-guide/index.html)

README.md

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Here are links to some important information
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- [Project Site](https://arrow.apache.org/datafusion)
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- [Installation](https://arrow.apache.org/datafusion/user-guide/cli/installation.html)
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- [Rust Getting Started](https://arrow.apache.org/datafusion/user-guide/example-usage.html)
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- [Rust DataFrame API](https://arrow.apache.org/datafusion/user-guide/dataframe.html)
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- [Project Site](https://datafusion.apache.org/)
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- [Installation](https://datafusion.apache.org/user-guide/cli/installation.html)
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- [Rust Getting Started](https://datafusion.apache.org/user-guide/example-usage.html)
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- [Rust DataFrame API](https://datafusion.apache.org/user-guide/dataframe.html)
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- [Rust API docs](https://docs.rs/datafusion/latest/datafusion)
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- [Rust Examples](https://github.com/apache/datafusion/tree/master/datafusion-examples)
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- [Python DataFrame API](https://arrow.apache.org/datafusion-python/)
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## What can you do with this crate?
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DataFusion is great for building projects such as domain specific query engines, new database platforms and data pipelines, query languages and more.
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It lets you start quickly from a fully working engine, and then customize those features specific to your use. [Click Here](https://arrow.apache.org/datafusion/user-guide/introduction.html#known-users) to see a list known users.
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It lets you start quickly from a fully working engine, and then customize those features specific to your use. [Click Here](https://datafusion.apache.org/user-guide/introduction.html#known-users) to see a list known users.
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## Contributing to DataFusion
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Please see the [contributor guide] and [communication] pages for more information.
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[contributor guide]: https://arrow.apache.org/datafusion/contributor-guide
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[communication]: https://arrow.apache.org/datafusion/contributor-guide/communication.html
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[contributor guide]: https://datafusion.apache.org/contributor-guide
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[communication]: https://datafusion.apache.org/contributor-guide/communication.html
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## Crate features
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datafusion-cli/README.md

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# DataFusion Command-line Interface
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[DataFusion](https://arrow.apache.org/datafusion/) is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.
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[DataFusion](https://datafusion.apache.org/) is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.
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DataFusion CLI (`datafusion-cli`) is a small command line utility that runs SQL queries using the DataFusion engine.
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# Frequently Asked Questions
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## Where can I find more information?
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See the [`datafusion-cli` documentation](https://arrow.apache.org/datafusion/user-guide/cli.html) for further information.
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See the [`datafusion-cli` documentation](https://datafusion.apache.org/user-guide/cli/index.html) for further information.
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## How do I make my IDE work with `datafusion-cli`?
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datafusion/core/README.md

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For more information, please see:
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- [DataFusion Website](https://arrow.apache.org/datafusion)
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- [DataFusion Website](https://datafusion.apache.org)
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- [DataFusion API Docs](https://docs.rs/datafusion/latest/datafusion/)

datafusion/core/src/catalog/mod.rs

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/// * [delta-rs]: [`UnityCatalogProvider`] implementation that can
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/// read from Delta Lake tables
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///
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/// [`datafusion-cli`]: https://arrow.apache.org/datafusion/user-guide/cli.html
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/// [`datafusion-cli`]: https://datafusion.apache.org/user-guide/cli/index.html
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/// [`DynamicFileCatalogProvider`]: https://github.com/apache/datafusion/blob/31b9b48b08592b7d293f46e75707aad7dadd7cbc/datafusion-cli/src/catalog.rs#L75
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/// [`catalog.rs`]: https://github.com/apache/datafusion/blob/main/datafusion-examples/examples/catalog.rs
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/// [delta-rs]: https://github.com/delta-io/delta-rs

datafusion/core/src/lib.rs

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//! additional data sources, query languages, functions, custom
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//! operators and more. See the [Architecture] section for more details.
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//!
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//! [DataFusion]: https://arrow.apache.org/datafusion/
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//! [DataFusion]: https://datafusion.apache.org/
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//! [Apache Arrow]: https://arrow.apache.org
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//! [use cases]: https://arrow.apache.org/datafusion/user-guide/introduction.html#use-cases
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//! [SQL]: https://arrow.apache.org/datafusion/user-guide/sql/index.html
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//! [use cases]: https://datafusion.apache.org/user-guide/introduction.html#use-cases
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//! [SQL]: https://datafusion.apache.org/user-guide/sql/index.html
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//! [`DataFrame`]: dataframe::DataFrame
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//! [Architecture]: #architecture
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//!

datafusion/expr/src/aggregate_function.rs

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/// Enum of all built-in aggregate functions
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// Contributor's guide for adding new aggregate functions
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// https://arrow.apache.org/datafusion/contributor-guide/index.html#how-to-add-a-new-aggregate-function
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// https://datafusion.apache.org/contributor-guide/index.html#how-to-add-a-new-aggregate-function
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#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Hash, EnumIter)]
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pub enum AggregateFunction {
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/// Count

datafusion/proto/CONTRIBUTING.md

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```
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[protoc]: https://github.com/protocolbuffers/protobuf#protocol-compiler-installation
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[installation instructions]: https://arrow.apache.org/datafusion/contributor-guide/#protoc-installation
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[installation instructions]: https://datafusion.apache.org/contributor-guide/#protoc-installation

datafusion/proto/README.md

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See [API Docs] for details and examples.
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[datafusion]: https://arrow.apache.org/datafusion
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[datafusion]: https://datafusion.apache.org
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[api docs]: http://docs.rs/datafusion-proto/latest

dev/changelog/15.0.0.md

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- Consider to categorize Operator [\#3216](https://github.com/apache/datafusion/issues/3216)
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- Replace Projection.alias with SubqueryAlias [\#2212](https://github.com/apache/datafusion/issues/2212)
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- \[Optimizer\] Eliminate the distinct [\#2045](https://github.com/apache/datafusion/issues/2045)
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- beautify datafusion's site: https://arrow.apache.org/datafusion/ [\#1819](https://github.com/apache/datafusion/issues/1819)
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- beautify datafusion's site: https://datafusion.apache.org/ [\#1819](https://github.com/apache/datafusion/issues/1819)
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- split datafusion-logical-plan sub-module [\#1755](https://github.com/apache/datafusion/issues/1755)
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- convert `outer join` to `inner join` to improve performance [\#1585](https://github.com/apache/datafusion/issues/1585)
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- Add sqllogictest for datafusion [\#1453](https://github.com/apache/datafusion/issues/1453)

dev/release/README.md

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- Checkout the `asf-site` branch
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- Copy content from `docs/build/html/*` to the `datafusion` directory in arrow-site
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- Create a PR against the `asf-site` branch ([example](https://github.com/apache/arrow-site/pull/237))
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- Once the PR is merged, the content will be published to https://arrow.apache.org/datafusion/ by GitHub Pages (this
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- Once the PR is merged, the content will be published to https://datafusion.apache.org/ by GitHub Pages (this
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### Optional: Write a blog post announcing the release

docs/source/contributor-guide/index.md

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Here is the list current active specifications:
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- [Output field name semantic](https://arrow.apache.org/datafusion/contributor-guide/specification/output-field-name-semantic.html)
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- [Invariants](https://arrow.apache.org/datafusion/contributor-guide/specification/invariants.html)
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- [Output field name semantic](https://datafusion.apache.org/contributor-guide/specification/output-field-name-semantic.html)
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- [Invariants](https://datafusion.apache.org/contributor-guide/specification/invariants.html)
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All specifications are stored in the `docs/source/specification` folder.
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docs/source/user-guide/introduction.md

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## Features
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- Feature-rich [SQL support](https://arrow.apache.org/datafusion/user-guide/sql/index.html) and [DataFrame API](https://arrow.apache.org/datafusion/user-guide/dataframe.html)
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- Feature-rich [SQL support](https://datafusion.apache.org/user-guide/sql/index.html) and [DataFrame API](https://datafusion.apache.org/user-guide/dataframe.html)
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- Blazingly fast, vectorized, multi-threaded, streaming execution engine.
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- Native support for Parquet, CSV, JSON, and Avro file formats. Support
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- [Excellent Documentation](https://docs.rs/datafusion/latest) and a
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[welcoming community](https://arrow.apache.org/datafusion/contributor-guide/communication.html).
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[welcoming community](https://datafusion.apache.org/contributor-guide/communication.html).
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- A state of the art query optimizer with expression coercion and
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simplification, projection and filter pushdown, sort and distribution
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aware optimizations, automatic join reordering, and more.

docs/source/user-guide/sql/select.md

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The queries in DataFusion scan data from tables and return 0 or more rows.
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Please be aware that column names in queries are made lower-case, but not on the inferred schema. Accordingly, if you
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want to query against a capitalized field, make sure to use double quotes. Please see this
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[example](https://arrow.apache.org/datafusion/user-guide/example-usage.html) for clarification.
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[example](https://datafusion.apache.org/user-guide/example-usage.html) for clarification.
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In this documentation we describe the SQL syntax in DataFusion.
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DataFusion supports the following syntax for queries:

docs/source/user-guide/sql/write_options.md

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### Parquet Format Specific Options
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The following options are available when writing parquet files. If any unsupported option is specified an error will be raised and the query will fail. If a column specific option is specified for a column which does not exist, the option will be ignored without error. For default values, see: [Configuration Settings](https://arrow.apache.org/datafusion/user-guide/configs.html).
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The following options are available when writing parquet files. If any unsupported option is specified an error will be raised and the query will fail. If a column specific option is specified for a column which does not exist, the option will be ignored without error. For default values, see: [Configuration Settings](https://datafusion.apache.org/user-guide/configs.html).
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| Option | Can be Column Specific? | Description |
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| ---------------------------- | ----------------------- | ----------------------------------------------------------------------------------------------------------------------------------- |

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