EdgeDB

@edgedatabase

The next generation relational database.

Toronto, Ontario
Vrijeme pridruživanja: ožujak 2018.

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  1. Prikvačeni tweet
    27. sij
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  2. proslijedio/la je Tweet
    28. sij
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  3. 8. stu 2019.

    Join our community chat at !

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  4. 17. lis 2019.

    EdgeDB is a PyCon 2020 Gold Sponsor. See you there! 🎉

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  5. proslijedio/la je Tweet
    8. lis 2019.

    In the codebases I worked with static typing provided an additional layer of testing. We have a pretty thorough test suite in , I'm feeding it now to 's MonkeyType to gather typing information for me from runtime. Looks like it recorded some types...

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  6. proslijedio/la je Tweet
    2. lis 2019.

    I decided to postpone my funemployment. I'm joining to work on an open next-generation data store. In my time at I've seen the enormous impact an expressive object database with strong consistency guarantees can have. EdgeDB will enable that for the masses

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  7. proslijedio/la je Tweet
    18. kol 2019.

    Slides for my talk about EdgeDB: Thanks to everybody who was there!

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  8. proslijedio/la je Tweet
    19. lip 2019.

    Honestly, if you're not excited about yet, read this: Exciting stuff ahead: - Efficient language bindings (Python, TS) - Built-in migrations w/ CLI (oh, my!) - DB-level access control policies w/ support - Errors w/ fix hints

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  9. 18. lip 2019.

    New blog post: A Path to a 10x Database

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  10. 7. lip 2019.

    And here they are:

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  11. 7. lip 2019.

    Here's a query that shows casts to string defined for std::duration and std::datetime types:

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  12. 7. lip 2019.

    Example output (as JSON):

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  13. 7. lip 2019.

    Everything in EdgeDB is introspectable: user-defined types, standard library types, functions, and operators, etc. For example, this query introspects two functions: std::count() and std::re_match() and shows their return types and parameters description:

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  14. 27. svi 2019.

    INSERTs and UPDATEs in EdgeQL can be nested. This is convenient to add/modify deep object hierarchies. Any EdgeQL single statement is always atomic even if it contains nested operations.

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  15. 9. svi 2019.
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  16. 16. tra 2019.
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  17. 15. tra 2019.

    What about calculating how many friends a user have on average? That's easy: just wrap the first query in an aggregate function:

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  18. 15. tra 2019.

    EdgeQL is composable. Here's an example query that selects a User along with a number of their friends:

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  19. proslijedio/la je Tweet
    12. tra 2019.

    I’m so pumped about ! Slick design, refreshing API, and packed with modern features. Python client has async built in! GraphQL server tied to the DB schema is built in! And the docs are a breeze: . Congrats and the MagicStack team 👏

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  20. 11. tra 2019.
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