README
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Pachyderm: A Containerized, Version-Controlled Data Lake
Pachyderm is:
- Git for Data Science: Pachyderm offers complete version control for even the largest data sets.
- Containerized: Pachyderm is built on Docker and Kubernetes. Since everything in Pachyderm is a container, data scientists can use any languages or libraries they want (e.g. R, Python, OpenCV, etc).
- Ideal for building machine learning pipelines and ETL workflows: Pachyderm versions and tracks every output directly to the raw input datasets that created it (aka: Provenance).
For more details, see what's new about Pachyderm.
Getting Started
Install Pachyderm locally or deploy on AWS/GCE/Azure in about 5 minutes.
You can also refer to our complete developer docs to see tutorials, check out example projects, and learn about advanced features of Pachyderm.
If you'd like to see some examples and learn about core use cases for Pachyderm:
- Examples
- Use Cases
- Case Studies: Learn how General Fusion uses Pachyderm to power commercial fusion research.
Documentation
What's new about Pachyderm? (How is it different from Hadoop?)
There are two bold new ideas in Pachyderm:
- Containers as the core processing primitive
- Version Control for data
These ideas lead directly to a system that's much more powerful, flexible and easy to use.
To process data, you simply create a containerized program which reads and writes to the local filesystem. You can use any tools you want because it's all just going in a container! Pachyderm will take your container and inject data into it. We'll then automatically replicate your container, showing each copy a different chunk of data. With this technique, Pachyderm can scale any code you write to process up to petabytes of data (Example: distributed image processing).
Pachyderm also version controls all data using a commit-based distributed filesystem (PFS), similar to what git does with code. Version control for data has far reaching consequences in a distributed filesystem. You get the full history of your data, can track changes, collaborate with teammates, and if anything goes wrong you can revert the entire cluster with one click!
Version control is also very synergistic with our containerized processing engine. Pachyderm understands how your data changes and thus, as new data is ingested, can run your workload on the diff of the data rather than the whole thing. This means that there's no difference between a batched job and a streaming job, the same code will work for both!
Community
Keep up to date and get Pachyderm support via:
- Join our community Slack Channel to get help from the Pachyderm team and other users.
Contributing
To get started, sign the Contributor License Agreement.
You should also check out our contributing guide.
Send us PRs, we would love to see what you do! You can also check our GH issues for things labeled "noob-friendly" as a good place to start. We're sometimes bad about keeping that label up-to-date, so if you don't see any, just let us know.
Join Us
WE'RE HIRING! Love Docker, Go and distributed systems? Learn more about our team and email us at jobs@pachyderm.io.
Usage Metrics
Pachyderm automatically reports anonymized usage metrics. These metrics help us
understand how people are using Pachyderm and make it better. They can be
disabled by setting the env variable METRICS to false in the pachd
container.
Documentation
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There is no documentation for this package.
Source Files
Directories
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| Path | Synopsis |
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doc
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etc
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migration
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src
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client/health
Package health is a generated protocol buffer package.
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Package health is a generated protocol buffer package. |
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client/limit
Package limit provides primitives to limit concurrency.
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Package limit provides primitives to limit concurrency. |
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client/pfs
Package pfs is a generated protocol buffer package.
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Package pfs is a generated protocol buffer package. |
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client/pkg/config
Package config is a generated protocol buffer package.
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Package config is a generated protocol buffer package. |
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client/pkg/shard
Package shard is a generated protocol buffer package.
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Package shard is a generated protocol buffer package. |
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client/pps
Package pps is a generated protocol buffer package.
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Package pps is a generated protocol buffer package. |
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client/version/versionpb
Package versionpb is a generated protocol buffer package.
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Package versionpb is a generated protocol buffer package. |
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server/pfs/fuse
Package fuse is a generated protocol buffer package.
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Package fuse is a generated protocol buffer package. |
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server/pfs/server
Package server is a generated protocol buffer package.
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Package server is a generated protocol buffer package. |
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server/pkg/backoff
Package backoff implements backoff algorithms for retrying operations.
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Package backoff implements backoff algorithms for retrying operations. |
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server/pkg/cache/groupcachepb
Package groupcachepb is a generated protocol buffer package.
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Package groupcachepb is a generated protocol buffer package. |
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server/pkg/deploy
Package deploy is a generated protocol buffer package.
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Package deploy is a generated protocol buffer package. |
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server/pkg/dlock
Package dlock implements a distributed lock on top of etcd.
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Package dlock implements a distributed lock on top of etcd. |
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server/pkg/hashtree
Package hashtree is a generated protocol buffer package.
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Package hashtree is a generated protocol buffer package. |
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server/pkg/metrics
Package metrics is a generated protocol buffer package.
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Package metrics is a generated protocol buffer package. |
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server/pkg/ppsdb
Package ppsdb contains the database schema that PPS uses.
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Package ppsdb contains the database schema that PPS uses. |
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server/pkg/sync
Package sync provides utility functions similar to `git pull/push` for PFS
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Package sync provides utility functions similar to `git pull/push` for PFS |
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server/pkg/watch
Package watch implements better watch semantics on top of etcd.
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Package watch implements better watch semantics on top of etcd. |
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server/pkg/worker
Package worker is a generated protocol buffer package.
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Package worker is a generated protocol buffer package. |