In memory database that uses filters to get the data you need.

Can be used for your needs by changing the models.go file to your needs. Creating and registering of the functionality that is needed.

You can start the database with only a csv. Go over steps below, And see the result in your browser.

1. python3 extras/create_model.py -f <path_to_file> ../model.go
2. go fmt
3. go build
4. ./lambda_db --help
5. python3 extras/ingestion.py -f <path_to_file>
6. curl 127.0.0.1:8128/help/
7. browser http://127.0.0.1:8128/
8. examples curl 127.0.0.1:8128/help/ | python3 -m json.tool

http://127.0.0.1:8128/mgmt/save

http://127.0.0.1:8128/mgmt/load

Currently the index is on all the columns. To run the index start lambdadb with indexed. Create a snapshot of the current data compressed.

1. http://127.0.0.1:8128/mgmt/save/bytesz
2. ./lambda_db -indexed
3. http://127.0.0.1:8128/mgmt/load/bytesz

sudo docker-compose up --no-deps --build

promql {instance="lambdadb:8000"}

python3 extras/ingestion.py -f movies_subset.tsv -format tsv -dbhost 127.0.0.1:8000