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https://github.com/delta-io/delta-rs

A native Rust library for Delta Lake, with bindings into Python
https://github.com/delta-io/delta-rs

databricks delta delta-lake pandas pandas-dataframe python rust

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A native Rust library for Delta Lake, with bindings into Python

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A native Rust library for Delta Lake, with bindings to Python


Python docs
·
Rust docs
·
Report a bug
·
Request a feature
·
Roadmap





Deltalake





Crate


Deltalake


Deltalake


#delta-rs in the Delta Lake Slack workspace


Delta Lake is an open-source storage format that runs on top of existing data lakes. Delta Lake is compatible with processing engines like Apache Spark and provides benefits such as ACID transaction guarantees, schema enforcement, and scalable data handling.

The Delta Lake project aims to unlock the power of the Deltalake for as many users and projects as possible
by providing native low-level APIs aimed at developers and integrators, as well as a high-level operations
API that lets you query, inspect, and operate your Delta Lake with ease.

| Source | Downloads | Installation Command | Docs |
| ----------------------- | --------------------------------- | ----------------------- | --------------- |
| **[PyPi][pypi]** | [![Downloads][pypi-dl]][pypi] | `pip install deltalake` | [Docs][py-docs] |
| **[Crates.io][crates]** | [![Downloads][crates-dl]][crates] | `cargo add deltalake` | [Docs][rs-docs] |

[pypi]: https://pypi.org/project/deltalake/
[pypi-dl]: https://img.shields.io/pypi/dm/deltalake?style=flat-square&color=00ADD4
[py-docs]: https://delta-io.github.io/delta-rs/
[rs-docs]: https://docs.rs/deltalake/latest/deltalake/
[crates]: https://crates.io/crates/deltalake
[crates-dl]: https://img.shields.io/crates/d/deltalake?color=F75101

## Table of contents

- [Quick Start](#quick-start)
- [Get Involved](#get-involved)
- [Integrations](#integrations)
- [Features](#features)

## Quick Start

The `deltalake` library aims to adopt patterns from other libraries in data processing,
so getting started should look familiar.

```py3
from deltalake import DeltaTable, write_deltalake
import pandas as pd

# write some data into a delta table
df = pd.DataFrame({"id": [1, 2], "value": ["foo", "boo"]})
write_deltalake("./data/delta", df)

# Load data from the delta table
dt = DeltaTable("./data/delta")
df2 = dt.to_pandas()

assert df.equals(df2)
```

The same table can also be loaded using the core Rust crate:

```rs
use deltalake::{open_table, DeltaTableError};

#[tokio::main]
async fn main() -> Result<(), DeltaTableError> {
// open the table written in python
let table = open_table("./data/delta").await?;

// show all active files in the table
let files: Vec<_> = table.get_file_uris()?.collect();
println!("{:?}", files);

Ok(())
}
```

You can also try Delta Lake docker at [DockerHub](https://go.delta.io/dockerhub) | [Docker Repo](https://go.delta.io/docker)

## Get Involved

We encourage you to reach out, and are [committed](https://github.com/delta-io/delta-rs/blob/main/CODE_OF_CONDUCT.md)
to provide a welcoming community.

- [Join us in our Slack workspace](https://go.delta.io/slack)
- [Report an issue](https://github.com/delta-io/delta-rs/issues/new?template=bug_report.md)
- Looking to contribute? See our [good first issues](https://github.com/delta-io/delta-rs/contribute).

## Integrations

Libraries and frameworks that interoperate with delta-rs - in alphabetical order.

- [AWS SDK for Pandas](https://github.com/aws/aws-sdk-pandas)
- [ballista][ballista]
- [datafusion][datafusion]
- [Daft](https://www.getdaft.io/)
- [Dask](https://github.com/dask-contrib/dask-deltatable)
- [datahub](https://datahubproject.io/)
- [DuckDB](https://duckdb.org/)
- [polars](https://www.pola.rs/)
- [Ray](https://github.com/delta-incubator/deltaray)

## Features

The following section outlines some core features like supported [storage backends](#cloud-integrations)
and [operations](#supported-operations) that can be performed against tables. The state of implementation
of features outlined in the Delta [protocol][protocol] is also [tracked](#protocol-support-level).

### Cloud Integrations

| Storage | Rust | Python | Comment |
| -------------------- | :-----: | :-----: | ---------------------------------------------------------------- |
| Local | ![done] | ![done] | |
| S3 - AWS | ![done] | ![done] | requires lock for concurrent writes |
| S3 - MinIO | ![done] | ![done] | requires lock for concurrent writes |
| S3 - R2 | ![done] | ![done] | No lock required when using `AmazonS3ConfigKey::CopyIfNotExists` |
| Azure Blob | ![done] | ![done] | |
| Azure ADLS Gen2 | ![done] | ![done] | |
| Microsoft OneLake | ![done] | ![done] | |
| Google Cloud Storage | ![done] | ![done] | |
| HDFS | ![done] | ![done] | |

### Supported Operations

| Operation | Rust | Python | Description |
| --------------------- | :-----: | :-----: | ------------------------------------------- |
| Create | ![done] | ![done] | Create a new table |
| Read | ![done] | ![done] | Read data from a table |
| Vacuum | ![done] | ![done] | Remove unused files and log entries |
| Delete - partitions | | ![done] | Delete a table partition |
| Delete - predicates | ![done] | ![done] | Delete data based on a predicate |
| Optimize - compaction | ![done] | ![done] | Harmonize the size of data file |
| Optimize - Z-order | ![done] | ![done] | Place similar data into the same file |
| Merge | ![done] | ![done] | Merge a target Delta table with source data |
| FS check | ![done] | ![done] | Remove corrupted files from table |

### Protocol Support Level

| Writer Version | Requirement | Status |
| -------------- | --------------------------------------------- | :-------------------------------: |
| Version 2 | Append Only Tables | ![done] |
| Version 2 | Column Invariants | ![done] |
| Version 3 | Enforce `delta.checkpoint.writeStatsAsJson` | [![open]][writer-rs] |
| Version 3 | Enforce `delta.checkpoint.writeStatsAsStruct` | [![open]][writer-rs] |
| Version 3 | CHECK constraints | [![semi-done]][check-constraints] |
| Version 4 | Change Data Feed | |
| Version 4 | Generated Columns | |
| Version 5 | Column Mapping | |
| Version 6 | Identity Columns | |
| Version 7 | Table Features | |

| Reader Version | Requirement | Status |
| -------------- | ----------------------------------- | ------ |
| Version 2 | Column Mapping | |
| Version 3 | Table Features (requires reader V7) | |

[datafusion]: https://github.com/apache/arrow-datafusion
[ballista]: https://github.com/apache/arrow-ballista
[polars]: https://github.com/pola-rs/polars
[open]: https://cdn.jsdelivr.net/gh/Readme-Workflows/Readme-Icons@main/icons/octicons/IssueNeutral.svg
[semi-done]: https://cdn.jsdelivr.net/gh/Readme-Workflows/Readme-Icons@main/icons/octicons/ApprovedChangesGrey.svg
[done]: https://cdn.jsdelivr.net/gh/Readme-Workflows/Readme-Icons@main/icons/octicons/ApprovedChanges.svg
[roadmap]: https://github.com/delta-io/delta-rs/issues/1128
[writer-rs]: https://github.com/delta-io/delta-rs/issues/851
[check-constraints]: https://github.com/delta-io/delta-rs/issues/1881
[onelake-rs]: https://github.com/delta-io/delta-rs/issues/1418
[protocol]: https://github.com/delta-io/delta/blob/master/PROTOCOL.md