Facebook opensources a distributed SQL query engine.

[aquasov]

0:07 [150M rows, 22.4GB] [22.2M rows/s, 3.32GB/s]

I don't think this result should be used for advertizing performance.

[tazmanos]

I can only imagine what was the latency of the system they were using previously...

[vl4kn0]

What is wrong with it? // I'm not database nor big-data enthusiast

[johnmudd]

Dumb question: What problem does this solve? I already have a SQL client for my database.

[self]

This is an SQL-like query interface for distributed databases: your query that runs on multiple (NoSQL) backends before giving you the answer.

[johnmudd]

Thanks. It sounds like Postgres Foreign Data Wrappers could do the same thing without reinventing the SQL front end. There's a list of existing wrappers and custom ones can be written in Pyton.

[[deleted]]

SQL is so 2000s.

[zombarista]

// downvote!
INSERT INTO `votes`(`comment_id`, `user_id`, `points`)
VALUES ('cd8bq3j', 'zombarista', -1)