Storlets
Storlets extend Swift with the ability to run user defined computations - called storlets - near the data in a secure and isolated manner. A storlet is a compiled and packaged code (e.g. a .jar file) that can be uploaded to Swift as any other object. Once uploaded the storlet can be invoked over data objects in Swift. The Storlets API is documented at “Storlets API v1”.
The project started off as an IBM research project, and was open sourced by IBM in 2014.
The research leading to the development of this code received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under the grant agreements for the CASPAR, ENSURE and VISION Cloud projects.
Various stages and different aspects of the development of this code received funding from the following European Community’s Framework Programme:
Seventh Framework Programme (FP7/2007-2013) under the grant agreements for the ForgetIT project, where the code is used for offloading digital preservation functionalities to the storage.
Seventh Framework Programme (FP7/2007-2013) under the grant agreements for COSMOS project, where the code is used for analysis of IoT data.
Seventh Framework Programme (FP7/2007-2013) under the grant agreements for FI-CORE project where the code is integrated with a holistic cloud deployment solution, and from
Horizon 2020 (H2020/2014-2020) under the grant agreement for the IOStack project where the code is used as a backend implementing Storage policies and is used for analytics
Docs
The storlerts documentation is auto-generated after every commit and available online at https://docs.openstack.org/storlets/latest/
Getting Started for Users
The fastest way to get started is “S2AIO - Swift Storlets All In One”.
For Engine Developers
Getting Started
The best way to get started is following this guide: “Installing a Development Environment”.
Tests
There are two types of tests included in the Storlets repo.
Unit tests
Functional tests
Unit tests, are, well, unit tests… The functional tests are black box tests validating end-to-end scenarios using various storlets, including faulty ones. For more information please refer to the: “Development and Testing Guide”.
Repository Structure
doc/source/: Documentation
etc/: Sample config files
storlets/: Python codes
agent/: Python code for Docker side agents
common/: An agent for storlets process management
daemon/: An agent for execution of python applications
daemon_factory/: Pyth
gateway/: Run time loadable code for managing storlets execution
sbus/: A Java implementation of the SBUS communication protocol
swift_middleware/: Swift middleware dealing with storlet invocation requests
StorletSamples/: Storlets examples, used for functional testing
src/: C and Java codes
c/: All codes
sbus/: A core implementation of the SBUS protocol, which is used for passing fsd between the middleware and container
java/: Java codes
SBus:/ A Java implementation of the SBUS communication protocol
SCommon/: A Java library required for storlets development
SDaemon/: A generic Java daemon for loading storlets at runtime
tests/: Unit and functional tests
tools/: Various cluster config dependent tools for automatic and manual testing
For Storlets Developers
Currently, storlets can be developed in Java only. To get started, follow: “S2AIO - Swift Storlets All In One”.
The write and deploy a storlet, follow: “Writing and deploying storlets”.
1 maintainer
Metadata
1 maintainer
Release files for storlets 18.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| storlets-18.0.0.tar.gz | 1.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| storlets-18.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.9 MB
Release files / storlets-18.0.0.tar.gz
| Download URL | storlets-18.0.0.tar.gz |
|---|---|
| Size | 1.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0a7a514df1b139853e2502c7def9320224d46006ba2b37614bc487fb5ffb6c47
|
|
BLAKE2b-256 checksum How to use checksums |
440ed6aa90e6408eff901f3d246c62387b320a5c84fa2b07a39c6869031f1e79
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Release files / storlets-18.0.0-py3-none-any.whl
| Download URL | storlets-18.0.0-py3-none-any.whl |
|---|---|
| Size | 80.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ff030e9c0a89ad9615dc3f097b9b5394175811326b3da2980c9955d596020400
|
|
BLAKE2b-256 checksum How to use checksums |
5854e8ab4d5f185b0c71adf37fdb3f15980f5b7abbce8d2d01a76081c293546f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
