alamb commented on code in PR #3:
URL: https://github.com/apache/datafusion-sandbox/pull/3#discussion_r2356874256
##########
.asf.yaml:
##########
@@ -47,9 +37,6 @@ github:
issues: true
discussions: true
protected_branches:
- main:
- required_pull_request_reviews:
- required_approving_review_count: 1
# needs to be updated as part of the release process
# .asf.yaml doesn't support wildcard branch protection rules, only exact
branch names
Review Comment:
can we remove all this stuff too ?
##########
README.md:
##########
@@ -17,140 +17,9 @@
under the License.
-->
-# Apache DataFusion
+> [!WARNING]
+> This is NOT [DataFusion](https://github.com/apache/datafusion/).
-[![Crates.io][crates-badge]][crates-url]
-[![Apache licensed][license-badge]][license-url]
-[![Build Status][actions-badge]][actions-url]
-![Commit Activity][commit-activity-badge]
-[![Open Issues][open-issues-badge]][open-issues-url]
-[![Discord chat][discord-badge]][discord-url]
-[![Linkedin][linkedin-badge]][linkedin-url]
-![Crates.io MSRV][msrv-badge]
+# DataFusion Sandbox
-[crates-badge]: https://img.shields.io/crates/v/datafusion.svg
-[crates-url]: https://crates.io/crates/datafusion
-[license-badge]: https://img.shields.io/badge/license-Apache%20v2-blue.svg
-[license-url]: https://github.com/apache/datafusion/blob/main/LICENSE.txt
-[actions-badge]:
https://github.com/apache/datafusion/actions/workflows/rust.yml/badge.svg
-[actions-url]: https://github.com/apache/datafusion/actions?query=branch%3Amain
-[discord-badge]: https://img.shields.io/badge/Chat-Discord-purple
-[discord-url]: https://discord.com/invite/Qw5gKqHxUM
-[commit-activity-badge]:
https://img.shields.io/github/commit-activity/m/apache/datafusion
-[open-issues-badge]: https://img.shields.io/github/issues-raw/apache/datafusion
-[open-issues-url]: https://github.com/apache/datafusion/issues
-[linkedin-badge]: https://img.shields.io/badge/Follow-Linkedin-blue
-[linkedin-url]: https://www.linkedin.com/company/apache-datafusion/
-[msrv-badge]:
https://img.shields.io/crates/msrv/datafusion?label=Min%20Rust%20Version
-
-[Website](https://datafusion.apache.org/) |
-[API Docs](https://docs.rs/datafusion/latest/datafusion/) |
-[Chat](https://discord.com/channels/885562378132000778/885562378132000781)
-
-<a href="https://datafusion.apache.org/";>
- <img
src="https://github.com/apache/datafusion/raw/HEAD/docs/source/_static/images/2x_bgwhite_original.png";
width="512" alt="logo"/>
-</a>
-
-DataFusion is an extensible query engine written in [Rust] that
-uses [Apache Arrow] as its in-memory format.
-
-This crate provides libraries and binaries for developers building fast and
-feature rich database and analytic systems, customized to particular workloads.
-See [use cases] for examples. The following related subprojects target end
users:
-
-- [DataFusion Python](https://github.com/apache/datafusion-python/) offers a
Python interface for SQL and DataFrame
- queries.
-- [DataFusion Comet](https://github.com/apache/datafusion-comet/) is an
accelerator for Apache Spark based on
- DataFusion.
-
-"Out of the box,"
-DataFusion offers [SQL] and [`Dataframe`] APIs, excellent [performance],
-built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and
-a great community.
-
-DataFusion features a full query planner, a columnar, streaming,
multi-threaded,
-vectorized execution engine, and partitioned data sources. You can
-customize DataFusion at almost all points including additional data sources,
-query languages, functions, custom operators and more.
-See the [Architecture] section for more details.
-
-[rust]: http://rustlang.org
-[apache arrow]: https://arrow.apache.org
-[use cases]:
https://datafusion.apache.org/user-guide/introduction.html#use-cases
-[python bindings]: https://github.com/apache/datafusion-python
-[performance]: https://benchmark.clickhouse.com/
-[architecture]:
https://datafusion.apache.org/contributor-guide/architecture.html
-
-Here are links to some important information
-
-- [Project Site](https://datafusion.apache.org/)
--
[Installation](https://datafusion.apache.org/user-guide/cli/installation.html)
-- [Rust Getting
Started](https://datafusion.apache.org/user-guide/example-usage.html)
-- [Rust DataFrame API](https://datafusion.apache.org/user-guide/dataframe.html)
-- [Rust API docs](https://docs.rs/datafusion/latest/datafusion)
-- [Rust
Examples](https://github.com/apache/datafusion/tree/main/datafusion-examples)
-- [Python DataFrame API](https://arrow.apache.org/datafusion-python/)
--
[Architecture](https://docs.rs/datafusion/latest/datafusion/index.html#architecture)
-
-## What can you do with this crate?
-
-DataFusion is great for building projects such as domain specific query
engines, new database platforms and data pipelines, query languages and more.
-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.
-
-## Contributing to DataFusion
-
-Please see the [contributor guide] and [communication] pages for more
information.
-
-[contributor guide]: https://datafusion.apache.org/contributor-guide
-[communication]:
https://datafusion.apache.org/contributor-guide/communication.html
-
-## Crate features
-
-This crate has several [features] which can be specified in your `Cargo.toml`.
-
-[features]: https://doc.rust-lang.org/cargo/reference/features.html
-
-Default features:
-
-- `nested_expressions`: functions for working with nested type function such
as `array_to_string`
-- `compression`: reading files compressed with `xz2`, `bzip2`, `flate2`, and
`zstd`
-- `crypto_expressions`: cryptographic functions such as `md5` and `sha256`
-- `datetime_expressions`: date and time functions such as `to_timestamp`
-- `encoding_expressions`: `encode` and `decode` functions
-- `parquet`: support for reading the [Apache Parquet] format
-- `sql`: Support for sql parsing / planning
-- `regex_expressions`: regular expression functions, such as `regexp_match`
-- `unicode_expressions`: Include unicode aware functions such as
`character_length`
-- `unparser`: enables support to reverse LogicalPlans back into SQL
-- `recursive_protection`: uses
[recursive](https://docs.rs/recursive/latest/recursive/) for stack overflow
protection.
-
-Optional features:
-
-- `avro`: support for reading the [Apache Avro] format
-- `backtrace`: include backtrace information in error messages
-- `parquet_encryption`: support for using [Parquet Modular Encryption]
-- `pyarrow`: conversions between PyArrow and DataFusion types
-- `serde`: enable arrow-schema's `serde` feature
-
-[apache avro]: https://avro.apache.org/
-[apache parquet]: https://parquet.apache.org/
-[parquet modular encryption]:
https://parquet.apache.org/docs/file-format/data-pages/encryption/
-
-## DataFusion API Evolution and Deprecation Guidelines
-
-Public methods in Apache DataFusion evolve over time: while we try to maintain
a
-stable API, we also improve the API over time. As a result, we typically
-deprecate methods before removing them, according to the [deprecation
guidelines].
-
-[deprecation guidelines]:
https://datafusion.apache.org/contributor-guide/api-health.html
-
-## Dependencies and `Cargo.lock`
-
-Following the [guidance] on committing `Cargo.lock` files, this project commits
-its `Cargo.lock` file.
-
-CI uses the committed `Cargo.lock` file, and dependencies are updated regularly
-using [Dependabot] PRs.
-
-[guidance]: https://blog.rust-lang.org/2023/08/29/committing-lockfiles.html
-[dependabot]:
https://docs.github.com/en/code-security/dependabot/working-with-dependabot
+This repo is a sandbox for experimenting with DataFusion CI. **Do not use this
repo for anything else.**
Review Comment:
👍
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