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5 items tagged “clickhouse”

2024

GitHub Public repo history tool (via) I built this Observable Notebook to run queries against the GH Archive (via ClickHouse) to try to answer questions about repository history—in particular, were they ever made public as opposed to private in the past.

It works by combining together PublicEvent event (moments when a private repo was made public) with the most recent PushEvent event for each of a user’s repositories.

# 20th March 2024, 9:56 pm / projects, observable, clickhouse, github

2023

chDB (via) This is a really interesting development: chDB offers “an embedded SQL OLAP Engine” as a Python package, which you can install using “pip install chdb”. What you’re actually getting is a wrapper around ClickHouse—it’s almost like ClickHouse has been repackaged into an embedded database similar to SQLite.

# 24th October 2023, 11:04 pm / clickhouse, python

2022

Lesser Known Features of ClickHouse (via) I keep hearing positive noises about ClickHouse. I learned about a whole bunch of capabilities from this article—including that ClickHouse can directly query tables that are stored in SQLite or PostgreSQL.

# 31st May 2022, 7:48 pm / postgresql, clickhouse, sqlite

2021

Clickhouse on Cloud Run (via) Alex Reid figured out how to run Clickhouse against read-only baked data on Cloud Run last year, and wrote up some comprehensive notes.

# 29th July 2021, 6:07 am / cloudrun, baked-data, clickhouse

Everything You Always Wanted To Know About GitHub (But Were Afraid To Ask) (via) ClickHouse by Yandex is an open source column-oriented data warehouse, designed to run analytical queries against TBs of data. They’ve loaded the full GitHub Archive of events since 2011 into a public instance, which is a great way of both exploring GitHub activity and trying out ClickHouse. Here’s a query I just ran that shows number of watch events per year, for example:

SELECT toYear(created_at) as yyyy, count() FROM github_events WHERE event_type = ’WatchEvent’ group by yyyy

# 5th January 2021, 1:02 am / big-data, sql, analytics, github, clickhouse