### Motivation
#2338 introduced a way to validate REST queries against the metadata after a change, to properly report any inconsistency that would emerge from a change in the underlying structure of our schema. However, the way this was done was quite complex and error-prone. Namely: we would use the generated schema parsers to statically execute an introspection query, similar to the one we use for remote schemas, then parse the resulting bytestring as it were coming from a remote schema.
This led to several issues: the code was using remote schema primitives, and was associated with remote schema code, despite being unrelated, which led to absurd situations like creating fake `Variable`s whose type was also their name. A lot of the code had to deal with the fact that we might fail to re-parse our own schema. Additionally, some of it was dead code, that for some reason GHC did not warn about? But more fundamentally, this architecture decision creates a dependency between unrelated pieces of the engine: modifying the internal processing of root fields or the introspection of remote schemas now risks impacting the unrelated `OpenAPI` feature.
### Description
This PR decouples that process from the remote schema introspection logic and from the execution engine by making `Analyse` and `OpenAPI` work on the generic `G.SchemaIntrospection` instead. To accomplish this, it:
- adds `GraphQL.Parser.Schema.Convert`, to convert from our "live" schema back to a flat `SchemaIntrospection`
- persists in the schema cache the `admin` introspection generated when building the schema, and uses it both for validation and for generating the `OpenAPI`.
### Known issues and limitations
This adds a bit of memory pressure to the engine, as we persist the entire schema in the schema cache. This might be acceptable in the short-term, but we have several potential ideas going forward should this be a problem:
- cache the result of `Analyze`: when it becomes possible to build the `OpenAPI` purely with the result of `Analyze` without any additional schema information, then we could cache that instead, reducing the footprint
- caching the `OpenAPI`: if it doesn't need to change every time the endpoint is queried, then it should be possible to cache the entire `OpenAPI` object instead of the schema
- cache a copy of the `FieldParsers` used to generate the schema: as those are persisted through the GraphQL `Context`, and are the only input required to generate the `Schema`, making them accessible in the schema cache would allow us to have the exact same feature with no additional memory cost, at the price of a slightly slower and more complicated process (need to rebuild the `Schema` every time we query the OpenAPI endpoint)
- cache nothing at all, and rebuild the admin schema from scratch every time.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/3962
Co-authored-by: paritosh-08 <85472423+paritosh-08@users.noreply.github.com>
GitOrigin-RevId: a8b9808170b231fdf6787983b4a9ed286cde27e0
### Description
This PR moves Hasura-specific schema functions from `Hasura.GraphQL.Parser.Class` into `Hasura.GraphQL.Schema.Common`. It also removes the two corresponding monad aliases, and consequently harmonizes several parts of the code to use the same common constraint.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/3947
GitOrigin-RevId: 40985a7d86da97a311bd480f9a57cc18c350c2a8
Numbers from CI for the new (currently noisy) `replace_metadata` adhoc benchmark:
chinook: 0.19s -> 0.16
huge_schema: 36.98s -> 29.89
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/3685
GitOrigin-RevId: be79b666858b03e8407c0d89765e9aac0af8d40a
In order to respond to GraphQL queries that make use of the introspection fields `__type` or `__schema`, we need two things:
- an overview of the relevant GraphQL type information, stored in a `Schema` object, and
- to have included the `__type` and `__schema` fields in the `query_root` that we generate.
It used to be necessary to do the above items in that order, since the `__type` and `__schema` fields (i.e. the respective `FieldParser`s) were generated _from_ a `Schema` object.
Thanks to recent refactorings in `Hasura.GraphQL.Schema.Introspect` (see hasura/graphql-engine-mono#2835 or hasura/graphql-engine@5760d9289c), the introspection fields _themselves_ are now `Schema`-agnostic, and simply return a function that takes a `Schema` object after parsing. For instance, the type of `schema`, corresponding to the `__schema` field, has literally changed as follows:
```diff
-schema :: MonadParse n => Schema -> FieldParser n ( J.Value)
+schema :: MonadParse n => FieldParser n (Schema -> J.Value)
```
This means that the introspection fields can be included in the GraphQL schema *before* we have generated a `Schema` object. In particular, rather than the current architecture of generating `Schema` at startup time for every role, we can instead generate `Schema` ad-hoc at query parsing time, only for those queries that make use of the introspection fields. This avoids us storing a `Schema` for every role for the lifetime of the server.
However: this introduces a functional change, as the code that generates the `Schema` object, and in particular the `accumulateTypeDefinitions` method, also does certain correctness checks, to prevent exposing a spec-incompliant GraphQL schema. If these correctness checks are being done at parsing time rather than startup time, then we catch certain errors only later on. For this reason, this PR adds an explicit run of this type accumulation at startup time. For efficiency reasons, and since this correctness check is not essential for correct operation of HGE, this is done for the admin role only.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/3231
GitOrigin-RevId: 23701c548b785929b28667025436b6ce60bfe1cd
_(This PR is on top of #3352.)_
## Description
This PR overhauls our documentation CI steps to push all generated server documentation to the `gh-pages` branch of the OSS repo. The goal of this PR is to arrive in the situation where `https://hasura.github.io/graphql-engine/server/` is automatically populated to contain the following:
- all the markdown files from `server/documentation`, copied verbatim, no transformation applied
- all the notes, collected from the code by the `extract-notes.sh` script, in `server/notes`
- the generated haddock documentation for each major release or branch in `server/haddock`.
To do so, this PR does the following:
- it includes the script to extract notes from #3352,
- it rewrites the documentation checking CI step, to generate the notes and publish the resulting "server/documentation" folder,
- it includes a new CI step to deploy the documentation to the `gh-pages` branch
Of note:
- we will generate a different haddock folder for each main branch and release; in practice, that means the _main_, _stable_, _alpha_, _beta_ branches, and every build tagged with a version number
- the step that builds the haddock documentation checks that ALL projects in the repo build, including pro, but the deploy only deploys the graphql-engine documentation, as it pushes it to a publicly-accessible place
## Required work
**DO NOT MERGE THIS PR IT IS NOT READY**. Some work needs to go into this PR before it is ready.
First of all: the `gh-pages` branch of the OSS repo does NOT yet contain the documentation scaffolding that this new process assumes. At the bare minimum, it should be a orphan branch that contains a top-level README.md file, and a _server_ folder. An example of the bare minimum required can be previewed [on my fork](https://nicuveo.github.io/graphql-engine/server/).
The content of the `server/documentation` folder needs to be adjusted to reflect this; at the very least, a `README.md` file needs to be added to do the indexing (again, see the placeholder [on my fork](https://nicuveo.github.io/graphql-engine/server/) for an example).
This way of publishing documentation must be validated against [proposed changes to the documentation](https://github.com/hasura/graphql-engine-mono/pull/3294). @marionschleifer what do you think?
~~The buildkite code in this branch is currently untested, and I am not sure how to test it.~~
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/3380
GitOrigin-RevId: b24f6759c64ae29886c1f1b481b172febc512032
GraphQL types can refer to each other in a circular way. The PDV framework used to use values of type `Unique` to recognize two fragments of GraphQL schema as being the same instance. Internally, this is based on `Data.Unique` from the `base` package, which simply increases a counter on every creation of a `Unique` object.
**NB**: The `Unique` values are _not_ used for knot tying the schema combinators themselves (i.e. `Parser`s). The knot tying for `Parser`s is purely based on keys provided to `memoizeOn`. The `Unique` values are _only_ used to recognize two pieces of GraphQL _schema_ as being identical. Originally, the idea was that this would help us with a perfectly correct identification of GraphQL types. But this fully correct equality checking of GraphQL types was never implemented, and does not seem to be necessary to prevent bugs.
Specifically, these `Unique` values are stored as part of `data Definition a`, which specifies a part of our internal abstract syntax tree for the GraphQL types that we expose. The `Unique` values get initialized by the `SchemaT` effect.
In #2894 and #2895, we are experimenting with how (parts of) the GraphQL types can be hidden behind certain permission predicates. This would allow a single GraphQL schema in memory to serve all roles, implementing #2711. The permission predicates get evaluated at query parsing time when we know what role is doing a certain request, thus outputting the correct GraphQL types for that role.
If the approach of #2895 is followed, then the `Definition` objects, and thus the `Unique` values, would be hidden behind the permission predicates. Since the permission predicates are evaluated only after the schema is already supposed to be built, this means that the permission predicates would prevent us from initializing the `Unique` values, rendering them useless.
The simplest remedy to this is to remove our usage of `Unique` altogether from the GraphQL schema and schema combinators. It doesn't serve a functional purpose, doesn't prevent bugs, and requires extra bookkeeping.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/2980
GitOrigin-RevId: 50d3f9e0b9fbf578ac49c8fc773ba64a94b1f43d
Source typename customization (hasura/graphql-engine@aac64f2c81) introduced a mechanism to change certain names in the GraphQL schema that is exposed. In particular it allows last-minute modification of:
1. the names of some types, and
2. the names of some root fields.
The above two items are assigned distinct customization algorithms, and at times both algorithms are in scope. So a need to distinguish them is needed.
In the original design, this was addressed by introducing a newtype wrapper `Typename` around GraphQL `Name`s, dedicated to the names of types. However, in the majority of the codebase, type names are also represented by `Name`. For this reason, it was unavoidable to allow for easy conversion. This was supported by a `HasName Typename` instance, as well as by publishing the constructors of `Typename`.
This means that the type safety that newtypes can add is lost. In particular, it is now very easy to confuse type name customization with root field name customization.
This refactors the above design by instead introducing newtypes around the customization operations:
```haskell
newtype MkTypename = MkTypename {runMkTypename :: Name -> Name}
deriving (Semigroup, Monoid) via (Endo Name)
newtype MkRootFieldName = MkRootFieldName {runMkRootFieldName :: Name -> Name}
deriving (Semigroup, Monoid) via (Endo Name)
```
The `Monoid` instance allows easy composition of customization operations, piggybacking off of the type of `Endo`maps.
This design allows safe co-existence of the two customization algorithms, while avoiding the syntactic overhead of packing and unpacking newtypes.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/2989
GitOrigin-RevId: da3a353a9b003ee40c8d0a1e02872e99d2edd3ca
We'll see if this improves compile times at all, but I think it's worth
doing as at least the most minimal form of module documentation.
This was accomplished by first compiling everything with
-ddump-minimal-imports, and then a bunch of scripting (with help from
ormolu)
**EDIT** it doesn't seem to improve CI compile times but the noise floor is high as it looks like we're not caching library dependencies anymore
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/2730
GitOrigin-RevId: 667eb8de1e0f1af70420cbec90402922b8b84cb4
This commit applies ormolu to the whole Haskell code base by running `make format`.
For in-flight branches, simply merging changes from `main` will result in merge conflicts.
To avoid this, update your branch using the following instructions. Replace `<format-commit>`
by the hash of *this* commit.
$ git checkout my-feature-branch
$ git merge <format-commit>^ # and resolve conflicts normally
$ make format
$ git commit -a -m "reformat with ormolu"
$ git merge -s ours post-ormolu
https://github.com/hasura/graphql-engine-mono/pull/2404
GitOrigin-RevId: 75049f5c12f430c615eafb4c6b8e83e371e01c8e
## Description
Almost all our data structures use strictness annotations, following [our styleguide's principle](https://github.com/hasura/graphql-engine/blob/master/server/STYLE.md#dealing-with-laziness) of "by default, use strict data types and lazy functions". The very few cases where we actually need laziness were already explicitly labelled as lazy with the `~` prefix operator.
This PR simply globally enables `StrictData`, allowing us to express records without `!()` on every field, but makes no attempt at cleaning existing code.
https://github.com/hasura/graphql-engine-mono/pull/1869
Co-authored-by: Philip Lykke Carlsen <358550+plcplc@users.noreply.github.com>
GitOrigin-RevId: e65c6e2f89413188da250122f64c2173615946ec
Replaces one instance of `mtl`-style effects with `transformers`-style, as this results in a measurable reduction in memory usage. The change is kept completely within one module.
https://github.com/hasura/graphql-engine-mono/pull/1944
GitOrigin-RevId: 587b8e61725bb4a505404bbe741185759b7bceeb
>
### Description
>
From HGE version 2.0 onwards, all remote relationship fields are generated as plain types without non-nullable and lists. This PR fixes the same.
### Changelog
- [x] `CHANGELOG.md` is updated with user-facing content relevant to this PR. If no changelog is required, then add the `no-changelog-required` label.
### Affected components
- [x] Server
- [x] Tests
### Related Issues
->
fix https://github.com/hasura/graphql-engine/issues/7284
### Steps to test and verify
>
- Create a remote relationship to a field in remote schema with non-nullable or list type
- The HGE introspection should give the remote relationship field type correctly as like in the remote schema
https://github.com/hasura/graphql-engine-mono/pull/2071
GitOrigin-RevId: e113f5d17b62bfa0a25028c20260ae1782ae224b
Query plan caching was introduced by - I believe - hasura/graphql-engine#1934 in order to reduce the query response latency. During the development of PDV in hasura/graphql-engine#4111, it was found out that the new architecture (for which query plan caching wasn't implemented) performed comparably to the pre-PDV architecture with caching. Hence, it was decided to leave query plan caching until some day in the future when it was deemed necessary.
Well, we're in the future now, and there still isn't a convincing argument for query plan caching. So the time has come to remove some references to query plan caching from the codebase. For the most part, any code being removed would probably not be very well suited to the post-PDV architecture of query execution, so arguably not much is lost.
Apart from simplifying the code, this PR will contribute towards making the GraphQL schema generation more modular, testable, and easier to profile. I'd like to eventually work towards a situation in which it's easy to generate a GraphQL schema parser *in isolation*, without being connected to a database, and then parse a GraphQL query *in isolation*, without even listening any HTTP port. It is important that both of these operations can be examined in detail, and in isolation, since they are two major performance bottlenecks, as well as phases where many important upcoming features hook into.
Implementation
The following have been removed:
- The entirety of `server/src-lib/Hasura/GraphQL/Execute/Plan.hs`
- The core phases of query parsing and execution no longer have any references to query plan caching. Note that this is not to be confused with query *response* caching, which is not affected by this PR. This includes removal of the types:
- - `Opaque`, which is replaced by a tuple. Note that the old implementation was broken and did not adequately hide the constructors.
- - `QueryReusability` (and the `markNotReusable` method). Notably, the implementation of the `ParseT` monad now consists of two, rather than three, monad transformers.
- Cache-related tests (in `server/src-test/Hasura/CacheBoundedSpec.hs`) have been removed .
- References to query plan caching in the documentation.
- The `planCacheOptions` in the `TenantConfig` type class was removed. However, during parsing, unrecognized fields in the YAML config get ignored, so this does not cause a breaking change. (Confirmed manually, as well as in consultation with @sordina.)
- The metrics no longer send cache hit/miss messages.
There are a few places in which one can still find references to query plan caching:
- We still accept the `--query-plan-cache-size` command-line option for backwards compatibility. The `HASURA_QUERY_PLAN_CACHE_SIZE` environment variable is not read.
https://github.com/hasura/graphql-engine-mono/pull/1815
GitOrigin-RevId: 17d92b254ec093c62a7dfeec478658ede0813eb7
This is a minor refactor (part of `Internal/Parser.hs` is moved into `Internal/Input.hs`) to remove `Collect.hs-boot` and `Directives.hs-boot` files. Without these changes:
1. Most changes would trigger recompilation from the modules with hs-boot files.
1. haskell-language-server fails for some reason in the presence of hs-boot files.
GitOrigin-RevId: 77a2e443417b449c5d7d9d418fc75fcdf076a9ae
fixes#3868
docker image - `hasura/graphql-engine:inherited-roles-preview-48b73a2de`
Note:
To be able to use the inherited roles feature, the graphql-engine should be started with the env variable `HASURA_GRAPHQL_EXPERIMENTAL_FEATURES` set to `inherited_roles`.
Introduction
------------
This PR implements the idea of multiple roles as presented in this [paper](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/FGALanguageICDE07.pdf). The multiple roles feature in this PR can be used via inherited roles. An inherited role is a role which can be created by combining multiple singular roles. For example, if there are two roles `author` and `editor` configured in the graphql-engine, then we can create a inherited role with the name of `combined_author_editor` role which will combine the select permissions of the `author` and `editor` roles and then make GraphQL queries using the `combined_author_editor`.
How are select permissions of different roles are combined?
------------------------------------------------------------
A select permission includes 5 things:
1. Columns accessible to the role
2. Row selection filter
3. Limit
4. Allow aggregation
5. Scalar computed fields accessible to the role
Suppose there are two roles, `role1` gives access to the `address` column with row filter `P1` and `role2` gives access to both the `address` and the `phone` column with row filter `P2` and we create a new role `combined_roles` which combines `role1` and `role2`.
Let's say the following GraphQL query is queried with the `combined_roles` role.
```graphql
query {
employees {
address
phone
}
}
```
This will translate to the following SQL query:
```sql
select
(case when (P1 or P2) then address else null end) as address,
(case when P2 then phone else null end) as phone
from employee
where (P1 or P2)
```
The other parameters of the select permission will be combined in the following manner:
1. Limit - Minimum of the limits will be the limit of the inherited role
2. Allow aggregations - If any of the role allows aggregation, then the inherited role will allow aggregation
3. Scalar computed fields - same as table column fields, as in the above example
APIs for inherited roles:
----------------------
1. `add_inherited_role`
`add_inherited_role` is the [metadata API](https://hasura.io/docs/1.0/graphql/core/api-reference/index.html#schema-metadata-api) to create a new inherited role. It accepts two arguments
`role_name`: the name of the inherited role to be added (String)
`role_set`: list of roles that need to be combined (Array of Strings)
Example:
```json
{
"type": "add_inherited_role",
"args": {
"role_name":"combined_user",
"role_set":[
"user",
"user1"
]
}
}
```
After adding the inherited role, the inherited role can be used like single roles like earlier
Note:
An inherited role can only be created with non-inherited/singular roles.
2. `drop_inherited_role`
The `drop_inherited_role` API accepts the name of the inherited role and drops it from the metadata. It accepts a single argument:
`role_name`: name of the inherited role to be dropped
Example:
```json
{
"type": "drop_inherited_role",
"args": {
"role_name":"combined_user"
}
}
```
Metadata
---------
The derived roles metadata will be included under the `experimental_features` key while exporting the metadata.
```json
{
"experimental_features": {
"derived_roles": [
{
"role_name": "manager_is_employee_too",
"role_set": [
"employee",
"manager"
]
}
]
}
}
```
Scope
------
Only postgres queries and subscriptions are supported in this PR.
Important points:
-----------------
1. All columns exposed to an inherited role will be marked as `nullable`, this is done so that cell value nullification can be done.
TODOs
-------
- [ ] Tests
- [ ] Test a GraphQL query running with a inherited role without enabling inherited roles in experimental features
- [] Tests for aggregate queries, limit, computed fields, functions, subscriptions (?)
- [ ] Introspection test with a inherited role (nullability changes in a inherited role)
- [ ] Docs
- [ ] Changelog
Co-authored-by: Vamshi Surabhi <6562944+0x777@users.noreply.github.com>
GitOrigin-RevId: 3b8ee1e11f5ceca80fe294f8c074d42fbccfec63
* Stop shutdown handler retaining the whole serveCtx
This might look like quite a strange way to write the function but it's
the only way I could get GHC to not capture `serveCtx` in the shutdown
handler.
Fixes the metadata issue in #344
* Force argumentNames
The arguments list is often empty so we end up with a lot of duplicate
thunks if this value is not forced.
* Increase sharing in nullableType and nonNullableType
The previous definitions would lead to increased allocation as it would
destory any previously created sharing. The new definition only allocate
a fresh constructor if the value is changed.
* Add memoization for field parsers
It was observed in #344 that many parsers were not being memoised which
led to an increase in memory usage. This patch generalisation memoisation so
that it works for FieldParsers as well as normal Parsers.
There can still be substantial improvement made by also memoising
InputFieldParsers but that is left for future work.
Co-authored-by: Antoine Leblanc <antoine@hasura.io>
* [automated] stylish-haskell commit
* changelog
Co-authored-by: Phil Freeman <paf31@cantab.net>
Co-authored-by: Antoine Leblanc <antoine@hasura.io>
Co-authored-by: Stylish Haskell Bot <stylish-haskell@users.noreply.github.com>
Co-authored-by: Phil Freeman <phil@hasura.io>
GitOrigin-RevId: 36255f77a47cf283ea61df9d6a4f9138d4e5834c
This PR generalizes a bunch of metadata structures.
Most importantly, it changes `SourceCache` to hold existentially quantified values:
```
data BackendSourceInfo =
forall b. Backend b => BackendSourceInfo (SourceInfo b)
type SourceCache = HashMap SourceName BackendSourceInfo
```
This changes a *lot* of things throughout the code. For now, all code using the schema cache explicitly casts sources to Postgres, meaning that if any non-Postgres `SourceInfo` makes it to the cache, it'll be ignored.
That means that after this PR is submitted, we can split work between two different aspects:
- creating `SourceInfo` for other backends
- handling those other sources down the line
GitOrigin-RevId: fb9ea00f32e840fc33c5467896fb1dfa5283ab42
This is an incremental PR towards https://github.com/hasura/graphql-engine/pull/5797
Co-authored-by: Anon Ray <ecthiender@users.noreply.github.com>
GitOrigin-RevId: a6cb8c239b2ff840a0095e78845f682af0e588a9
An incremental PR towards https://github.com/hasura/graphql-engine/pull/5797
- Expands `MonadMetadataStorage` with operations related to async actions and setting/updating metadata
GitOrigin-RevId: 53386b7b2d007e162050b826d0708897f0b4c8f6
Since PDV, introspection queries are parsed by a certain kind of reflection where during the GraphQL schema generation, we collect all GraphQL types used during schema generation to generate answers to introspection queries. This has a great advantage, namely that we don't need to keep track of which types are being used in our schema, as this information is extracted after the fact.
But what happens when we encounter two types with the same name in the GraphQL schema? Well, they better be the same, otherwise we likely made a programming error. So what do we do when we *do* encounter a conflict? So far, we've been throwing a rather generic error message, namely `found conflicting definitions for <typename> when collecting types from the schema`. It does not specify what the conflict is, or how it arose. In fact, I'm a little bit hesitant to output more information about what the conflict is, because we support many different kinds of GraphQL types, and these can have disagreements in many different ways. It'd be a bit tiring (not to mention error-prone) to spell this out explicitly for all types. And, in any case, at the moment our equality checks for types is incorrect anyway, as we are avoiding implementing a certain recursive equality checking algorithm.
As it turns out, type conflicts arise not just due to programming errors, but also arise naturally under certain configurations. @codingkarthik encountered an interesting case recently where adding a specific remote and a single unrelated database table would result in a conflict in our Relay schema. It was not readily visible how this conflict arose: this took significant engineering effort.
This adds stack traces to type collection, so that we can inform the user where the type conflict is taking place. The origin of the above conflict can easily be spotted using this PR. Here's a sample error message:
```
Found conflicting definitions for "PageInfo". The definition at "mutation_root.UpdateUser.favourites.anime.edges.node.characters.pageInfo" differs from the the definition at "query_root.test_connection.pageInfo"
```
Co-authored-by: Antoine Leblanc <antoine@hasura.io>
GitOrigin-RevId: d4c01c243022d8570b3c057b168a61c3033244ff
This PR makes a bunch of schema generation code in Hasura.GraphQL.Schema backend-agnostic, by moving the backend-specific parts into a new BackendSchema type class. This way, the schema generation code can be reused for other backends, simply by implementing new instances of the BackendSchema type class.
This work is now in a state where the schema generators are sufficiently generic to accept the implementation of a new backend. That means that we can start exposing MS SQL schema. Execution is not implemented yet, of course.
The branch currently does not support computed fields or Relay. This is, in a sense, intentional: computed field support is normally baked into the schema generation (through the fieldSelection schema generator), and so this branch shows a programming technique that allows us to expose certain GraphQL schema depending on backend support. We can write support for computed fields and Relay at a later stage.
Co-authored-by: Antoine Leblanc <antoine@hasura.io>
GitOrigin-RevId: df369fc3d189cbda1b931d31678e9450a6601314
