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Lightweight data analytics using SQLite, Bash and DuckDB

Show HN: Lightweight data analytics using SQLite, Bash and DuckDB

Lightweight data analytics using SQLite, Bash and DuckDB is active in the show hn launch space.

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Over the last 12 months, in parallel to using Google BigQuery, I have built my own processing pipeline using SQLite and DuckDB.What amazes me is that it works surprisingly well and costs much less than using BigQuery.Roughly speaking, here's what I do: A SQLite database receives IoT sensor data via a very simple PHP function. I currently use the FlightPHP framework for this. The data is written to a table within the SQLite database (WAL mode activated) and states are updated by the machines using triggers.Example of a triggerCREATE TRIGGER message_added AFTER INSERT ON messages BEGIN INSERT OR REPLACE INTO states VALUES ( new.id, new.status, new.time_stamp, new.current_present, new.voltage_p

Its activity falls under show hn launch; the profile below is assembled from public directory data.

It is recorded at the Show HN launch stage.

SectorShow HN launch
StageShow HN launch

Website: myapi/sse_realtime_json

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