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# Apache Arrow
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## Powering In-Memory Analytics
Apache Arrow is a universal columnar format and multi-language toolbox for fast
data interchange and in-memory analytics. It contains a set of technologies that
enable data systems to efficiently store, process, and move data.
Major components of the project include:
- [The Arrow Columnar In-Memory Format](https://arrow.apache.org/docs/dev/format/Columnar.html):
a standard and efficient in-memory representation of various datatypes, plain or nested
- [The Arrow IPC Format](https://arrow.apache.org/docs/dev/format/Columnar.html#serialization-and-interprocess-communication-ipc):
an efficient serialization of the Arrow format and associated metadata,
for communication between processes and heterogeneous environments
- [The Arrow Flight RPC protocol](https://github.com/apache/arrow/tree/main/format/Flight.proto):
based on the Arrow IPC format, a building block for remote services exchanging
Arrow data with application-defined semantics (for example a storage server or a database)
- [C++ libraries](https://github.com/apache/arrow/tree/main/cpp)
- [C bindings using GLib](https://github.com/apache/arrow/tree/main/c_glib)
- [C# .NET libraries](https://github.com/apache/arrow/tree/main/csharp)
- [Gandiva](https://github.com/apache/arrow/tree/main/cpp/src/gandiva):
an [LLVM](https://llvm.org)-based Arrow expression compiler, part of the C++ codebase
- [Go libraries](https://github.com/apache/arrow-go)
- [Java libraries](https://github.com/apache/arrow/tree/main/java)
- [JavaScript libraries](https://github.com/apache/arrow/tree/main/js)
- [Python libraries](https://github.com/apache/arrow/tree/main/python)
- [R libraries](https://github.com/apache/arrow/tree/main/r)
- [Ruby libraries](https://github.com/apache/arrow/tree/main/ruby)
- [Rust libraries](https://github.com/apache/arrow-rs)
Arrow is an [Apache Software Foundation](https://www.apache.org) project. Learn more at
[arrow.apache.org](https://arrow.apache.org).
## What's in the Arrow libraries?
The reference Arrow libraries contain many distinct software components:
- Columnar vector and table-like containers (similar to data frames) supporting
flat or nested types
- Fast, language agnostic metadata messaging layer (using Google's Flatbuffers
library)
- Reference-counted off-heap buffer memory management, for zero-copy memory
sharing and handling memory-mapped files
- IO interfaces to local and remote filesystems
- Self-describing binary wire formats (streaming and batch/file-like) for
remote procedure calls (RPC) and interprocess communication (IPC)
- Integration tests for verifying binary compatibility between the
implementations (e.g. sending data from Java to C++)
- Conversions to and from other in-memory data structures
- Readers and writers for various widely-used file formats (such as Parquet, CSV)
## Implementation status
The official Arrow libraries in this repository are in different stages of
implementing the Arrow format and related features. See our current
[feature matrix](https://arrow.apache.org/docs/dev/status.html)
on git main.
## How to Contribute
Please read our latest [project contribution guide][5].
## Getting involved
Even if you do not plan to contribute to Apache Arrow itself or Arrow
integrations in other projects, we'd be happy to have you involved:
- Join the mailing list: send an email to
[
[email protected]][1]. Share your ideas and use cases for the
project.
- Follow our activity on [GitHub issues][3]
- [Learn the format][2]
- Contribute code to one of the reference implementations
[1]: mailto:
[email protected]
[2]: https://github.com/apache/arrow/tree/main/format
[3]: https://github.com/apache/arrow/issues
[4]: https://github.com/apache/arrow
[5]: https://arrow.apache.org/docs/dev/developers/index.html
", Assign "at most 3 tags" to the expected json: {"id":"347","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"