lakestream

4 releases

0.0.3	May 7, 2023
0.0.2	Apr 23, 2023
0.0.1	Apr 14, 2023
0.0.0	Apr 8, 2023

#14 in #local-filesystem

27 downloads per month

MIT license

100KB
2.5K SLoC

Lakestream

Lakestream is a tool for interacting with object stores such as S3. It is built from the ground up in Rust, with APIs available for both Python and the web via JS/WASM.

The idea behind Lakestream is to create a high-performance and future-proof data tool that can scale with new (AI-driven) networking and usage patterns. This includes the ability to work in both client and service mode, and a modular design to allow compute functions on the network.

In the short term, the focus is on implementing basic features such as List, Copy, and Delete.

The current version (0.0.3) enables:

listing and searching items on an S3 bucket or Local Filesystem.
filtering by name, size, and modification time
GET contents of an item from Local Filesystem or S3 bucket

Prerequisites

Python or Rust
Optional: S3 account with valid access key and secret key

Installation

Lakestream can be used via Python (API) or directly via Rust (CLI). A (local-first) browser-based version is on the short-term roadmap.

Python (API)

Only Linux and MacOS wheels are pre-compiled. A Windows version should follow soon.

pip install lakestream

Rust (CLI)

Clone the repository and compile the project using Cargo:

git clone https://github.com/serverlessnext/lakestream.git
cd lakestream
cargo build --release

Next, copy the binary from ./target/release/lakestream to your local path.

Usage

Quickstart

List

# for s3://buckets: AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY must be set
export AWS_ACCESS_KEY_ID=your_access_key
export AWS_SECRET_ACCESS_KEY=your_secret_key
export AWS_REGION=us-east-1  # optional

# Find all files in the "reports" directory, with names containing "2023" and
# modified within the last 30 days, in a given S3 bucket.
lakestream ls s3://bucket-name/reports/ --name "*2023*" --mtime "-30D

# Find all files in the current directory, larger than 100 MB and modified
# within the last 5 days.
lakestream ls . --size "+100M" --mtime "-5D"

# Find all files larger than 1 megabyte (MB) in a given S3 Bucket
lakestream ls s3://bucket-name/ --size "+1M" --recursive

# Find all files modified more than 1 hour ago, recursively
lakestream ls . --mtime "+1h" --recursive

More List examples here.

Request

# print file contents from local file to stdout
lakestream -X GET README.rst

# write file contents from S3 to local file
lakestream -X GET s3://bucket-name/100MB.bin > 100MB.bin

More Request examples here.

Python can also be used as a CLI. Arguments are mapped 1:1 to the Rust library.

# Python
python -m lakestream ls ./

# Rust
lakestream ls ./

Python API

import lakestream

client = lakestream.Client()

# Define a filter dictionary
filter_dict = {
    "name": "example.txt",
    "size": "5",
    "mtime": "1D",
}

# List the contents of a storage location with the filter
result = client.list("s3://your-bucket", recursive=True, filter_dict=filter_dict)

print(result)

Python API Documentation here.

Contributing

Contributions to the Lakestream project are welcome. Please open an issue or submit a pull request on the GitHub repository.

License

Lakestream is released under the MIT license. See LICENSE for more details.