graphql-api

GraphQL is a data query language developed by Facebook. It provides an alternative to REST and ad-hoc webservice architectures. It allows clients to define the structure of the data required, and exactly the same structure of the data is returned from the server. It is a strongly typed runtime which allows clients to dictate what data is needed.
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When querying for content or excerpt on content nodes (posts, pages, etc) the content
and excerpt
fields can be queried for with a format: RAW
argument.
The RAW
content will only be returned to authenticated users.
The description of the RAW enum should explain this.
Currently the descriptions are as follows:
>
in the code, this is equivalent to Option<T>
, however instead of changing those to optional types, these should return useful error messages/types so it's easier to debug.
Some of them could just retu
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Aug 15, 2021 - Go
arm64 release please
Please add arm64 release bin
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Scope of updates:
- back end dependencies
- front end dependencies
- version of Go
- Node version
- versions of images in Dockerfiles
- dependencies in CI scripts
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Nov 16, 2017 - JavaScript
The fix for #509 enables using graphql interfaces and sub types in the client. However, it does so in a way that creates partial record accessors.
https://github.com/AlistairB/morpheus-repro/tree/partial-fields demonstrates the issue. stack build
will produce the warning (it uses m
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Add a GitHub action flow for publishing a new version (run build, run tests, publish to npm and GitHub packates) etc.
The Settings accepts several options which modify permalinks:
- Single endpoint path
- Persisted query base slug
- Other similar ones
We must validate that the input values are correct. Things to watch out for:
- Unsupported chars:
!@#$%*()+='"
... - Too long:
thispathistoolongthatthebaseslugcantprocessit
- Many instances of
//
together:/graphql-query/base//path/
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Created by Facebook
Released 2015
- Organization
- graphql
- Website
- graphql.org
- Wikipedia
- Wikipedia
Issue split from hasura/graphql-engine#6951
our pytest output has a pretty low signal:noise ratio, and it's often difficult to understand the cause of a test failure, if there is one. [Example: a 8600-line log for what turned out to be a flaky test that passed on a second run](https://app.circleci.com/pipelines/github/hasura/graphql-engine-mono/10008/workflows/5e17c7