Build status (Linux) | |
Build status (Windows) | |
Project status | Usable, between alpha and beta |
Production-readiness | Depends on your risk tolerance |
PumpkinDB is an immutable ordered key-value database engine, featuring:
Simply put, the data replaced is data deleted and is therefore, an unsafe way to manage data. Bugs,misunderstanding, changing scope and requirements and other factors might influence what data (andespecially past data) means and how can it be used.
By guaranteeing the immutability of key's value once it is set, PumpkinDB forces its usersto think of their data through a temporal perspective.
This approach is highly beneficial for implementing event sourcing and similar types of architectures.
PumpkinDB is essentially a database programming environment, largely inspired by core ideas behind MUMPS. Instead of M,it has a Forth-inspired stack-based language, PumpkinScript. Instead of hierarchical keys, it has a flat key namespace and doesn't allow overriding values once they are set. Core motivation for immutability was that with the cost of storage declining, erasing data is effectively a strategical mistake.
While not intended for general purpose programming, its main objective is to facilitate building specialized application-specific and generic databases with a particular focus on immutability and processing data as close to storage as possible, incurring as little communication penalty as possible.
Applications communicate with PumpkinDB by sending small PumpkinScript programsover a network interface (or API when using PumpkinDB as an embedded solution).
PumpkinDB offers a wide array of primitives for concurrency, storage, journalling, indexing and other common building blocks.
The core ideas behind PumpkinDB stem from the so calledlazy event sourcingapproach which is based on storing and indexing events while delaying domainbinding for as long as possible. That said, the intention of this database is tobe a building block for different kinds of architectures, be itclassic event sourcing (using it as an event store), lazy event sourcing (usingindices) or anything else. It's also possible to implement different approaches withina single database for different parts of the domain.
Instead of devising custom protocols for talking to PumpkinDB, the protocol ofcommunication has become a pipeline to a script executor. This offers us enormous extensionand flexibility capabilities.
While an external application can talk to PumpkinDB over a network connection, PumpkinDB'sengine itself is embeddable and can be used directly. Currenly, it is available for Rustapplications only, but this may one day extend to all languages that can interface with C.
Language | Library | Status |
---|---|---|
Rust | pumpkindb_client | Early release (0.2.0) |
Java | pumpkindb-client | Pre-release |
You can download PumpkinDB releases from GitHub.
You can try out latest PumpkinDB HEAD revision by using a docker image:
$ docker pull pumpkindb/pumpkindb
Alternatively, you can build the image yourself:
$ docker build . -t pumpkindb/pumpkindb
Run the server:
$ docker run -p 9981:9981 -ti pumpkindb/pumpkindb
2017-04-12T02:52:47.440873517+00:00 WARN pumpkindb - No logging configuration specified, switching to console logging
2017-04-12T02:52:47.440983318+00:00 INFO pumpkindb - Starting up
2017-04-12T02:52:47.441122740+00:00 INFO pumpkindb_engine::storage - Available disk space is approx. 56Gb, setting database map size to it
2017-04-12T02:52:47.441460231+00:00 INFO pumpkindb - Starting 4 schedulers
2017-04-12T02:52:47.442375937+00:00 INFO pumpkindb - Listening on 0.0.0.0:9981
Finally, connect to it using pumpkindb-term
:
$ docker run -ti pumpkindb/pumpkindb pumpkindb-term 172.17.0.1:9981 # replace IP with the docker host IP
You are also welcome to clone the repository and buildit yourself. You will need Rust Nightly to do this. The easiest way to get it is to userustup
$ rustup install nightly
$ rustup override set nightly # in PumpkinDB directory
After that, you can run PumpkinDB server this way:
$ cargo build --all
$ ./target/debug/pumpkindb
2017-04-03T10:43:49.667667-07:00 WARN pumpkindb - No logging configuration specified, switching to console logging
2017-04-03T10:43:49.668660-07:00 INFO pumpkindb - Starting up
2017-04-03T10:43:49.674139-07:00 INFO pumpkindb_engine::storage - Available disk space is approx. 7Gb, setting database map size to it
2017-04-03T10:43:49.675759-07:00 INFO pumpkindb - Starting 8 schedulers
2017-04-03T10:43:49.676113-07:00 INFO pumpkindb - Listening on 0.0.0.0:9981
You can connect to it using pumpkindb-term
:
$ ./target/debug/pumpkindb-term
Connected to PumpkinDB at 0.0.0.0:9981
To send an expression, end it with `.`
Type \h for help.
PumpkinDB> ["Name" HLC CONCAT "Jopn Doe" ASSOC COMMIT] WRITE.
PumpkinDB> ["Name" HLC CONCAT "John Doe" ASSOC COMMIT] WRITE.
PumpkinDB> [CURSOR DUP "Name" CURSOR/SEEKLAST DROP CURSOR/VAL] READ (Get last value).
"John Doe"
PumpkinDB> [CURSOR DUP "Name" CURSOR/SEEKLAST DROP DUP CURSOR/PREV DROP CURSOR/VAL] READ (Get previous value).
"Jopn Doe"
(The above example shows how one can query and navigate for values submitted at a different time, using low level primitives).
You can change some of the server's parameters by creating pumpkindb.toml
:
[storage]
path = "path/to/db"
# By default, mapsize will equal to the size of
# available space on the disk, except on Windows,
# where default would be 1Gb.
# `mapsize` is a theoretical limit the database can
# grow to. However, on Windows, this also means that
# the database file will take that space.
# This parameter allows to specify the mapsize
# in megabytes.
# mapsize = 2048
[server]
port = 9981
PumpkinDB project is split into a couple of separate components (crates):
pumpkindb_mio_server
.This project is in its very early days and we will always be welcomingcontributors.
Our goal is to encourage frictionless contributions to the project. In order toachieve that, we use Unprotocols C4 process.Please read it, it will answer a lot of questions. Our goal is to merge pull requestsas quickly as possible and make new stable releases regularly.
In a nutshell, this means:
To learn more, read our contribution guidelines
We also maintain a list of issues that we think are good starters for newcontributors.
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