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ClickHouse® is a real-time analytics DBMS
b6d84ef5fa
On the query we have missing two options: - `LIFETIME` Is not on the example if you copy paste you will have an Exception `DB::Exception: Cannot create dictionary with empty lifetime.` - `SOURCE` was not mentioned and it's important to link to the main/source table. - There was an error on the `dictGetT` function there was an additional T this function do not exist (I have tested and we need to use `dictGet`). - Also in the Dictionary example we have no extra attribute other than the id and the two dates, and for running the queries and the `dicGet` function you need an additional attribute this is why I have added `advertiser_id` (BTW I use advertiser_id as this was use in the example just before) and also add one example, without the example it was not easy to understand what was the 'attr_name' mentioned before. - I add an example as an user did not knew how to cast the date to a Uint64 (Because most of the time the original/raw dates are defined on the range as Date64, so this example will explain them how to cast when doing the query) |
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ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real-time.
Useful Links
- Official website has a quick high-level overview of ClickHouse on the main page.
- ClickHouse Cloud ClickHouse as a service, built by the creators and maintainers.
- Tutorial shows how to set up and query a small ClickHouse cluster.
- Documentation provides more in-depth information.
- YouTube channel has a lot of content about ClickHouse in video format.
- Slack and Telegram allow chatting with ClickHouse users in real-time.
- Blog contains various ClickHouse-related articles, as well as announcements and reports about events.
- Code Browser (Woboq) with syntax highlight and navigation.
- Code Browser (github.dev) with syntax highlight, powered by github.dev.
- Contacts can help to get your questions answered if there are any.
Upcoming events
- v22.11 Release Webinar Original creator, co-founder, and CTO of ClickHouse Alexey Milovidov will walk us through the highlights of the release, provide live demos, and share vision into what is coming in the roadmap.
- ClickHouse Meetup at the Deutsche Bank office in Berlin Hear from Deutsche Bank on why they chose ClickHouse for big sensitive data in a regulated environment. The ClickHouse team will then present how ClickHouse is used for real time financial data analytics, including tick data, trade analytics and risk management.
- AWS re:Invent Core members of the ClickHouse team -- including 2 of our founders -- will be at re:Invent from November 29 to December 3. We are available on the show floor, but are also determining interest in holding an event during the time there.