pbdb is a key/value database inspired by chapter 3 of Designing Data-Intensive
Applications by Martin Kleppmann.
The underlying storage format is very simple: a text file where each line contains a key-value pair, separated by a comma (roughly like a CSV file, ignoring escaping issues). Every call to db_set appends to the end of the file, so if you update a key several times, the old versions of the value are not overwritten — you need to look at the last occurrence of a key in a file to find the latest value [...] (Kleppmann 2017)
It also uses a hash index (like Kleppmann later suggests) to speed up reads.
Option A: Build and run the provided Dockerfile
docker build -t pbdb:latest .
docker run -p 1728:1728/tcp pbdb:latest
Option B: Compile and run the source code
go build
./pbdb run -d dbfile
pbdb is an experiment and not meant for production by any sense of the word.
However, if you wish to run it here's how:
pbdb run --data DATABASE_FILE --port PORT
This will start the database and bind it to PORT (default: 1728). The
database will survive restarts, but will need a moment to reindex its in-memory
hash index. You can interact with the database using http.
$ curl localhost:1728/set/foo -d bar
$ curl localhost:1728/get/foo
bar$
- You'll have a bad time if your values have new line characters.
- There's no authentication. You have been warned.
Kleppmann, Martin. Designing Data-Intensive Applications (Kindle Locations 1934-1937). O'Reilly Media. Kindle Edition.