2021-09-22 18:34:53 +03:00
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{-# LANGUAGE ApplicativeDo #-}
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2022-05-26 14:54:30 +03:00
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{-# LANGUAGE TemplateHaskell #-}
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2021-04-12 13:18:29 +03:00
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{-# OPTIONS_GHC -fno-warn-orphans #-}
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module Hasura.Backends.BigQuery.Instances.Schema () where
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2021-09-24 01:56:37 +03:00
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import Data.Aeson qualified as J
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import Data.Has
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import Data.HashMap.Strict qualified as Map
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import Data.List.NonEmpty qualified as NE
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import Data.Text qualified as T
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2022-05-26 14:54:30 +03:00
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import Data.Text.Casing qualified as C
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2021-09-24 01:56:37 +03:00
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import Data.Text.Extended
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2022-06-23 12:14:24 +03:00
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import Hasura.Backends.BigQuery.Name
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2021-09-24 01:56:37 +03:00
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import Hasura.Backends.BigQuery.Types qualified as BigQuery
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import Hasura.Base.Error
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An `ErrorMessage` type, to encapsulate.
This introduces an `ErrorMessage` newtype which wraps `Text` in a manner which is designed to be easy to construct, and difficult to deconstruct.
It provides functionality similar to `Data.Text.Extended`, but designed _only_ for error messages. Error messages are constructed through `fromString`, concatenation, or the `toErrorValue` function, which is designed to be overridden for all meaningful domain types that might show up in an error message. Notably, there are not and should never be instances of `ToErrorValue` for `String`, `Text`, `Int`, etc. This is so that we correctly represent the value in a way that is specific to its type. For example, all `Name` values (from the _graphql-parser-hs_ library) are single-quoted now; no exceptions.
I have mostly had to add `instance ToErrorValue` for various backend types (and also add newtypes where necessary). Some of these are not strictly necessary for this changeset, as I had bigger aspirations when I started. These aspirations have been tempered by trying and failing twice.
As such, in this changeset, I have started by introducing this type to the `parseError` and `parseErrorWith` functions. In the future, I would like to extend this to the `QErr` record and the various `throwError` functions, but this is a much larger task and should probably be done in stages.
For now, `toErrorMessage` and `fromErrorMessage` are provided for conversion to and from `Text`, but the intent is to stop exporting these once all error messages are converted to the new type.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/5018
GitOrigin-RevId: 84b37e238992e4312255a87ca44f41af65e2d89a
2022-07-18 23:26:01 +03:00
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import Hasura.Base.ErrorMessage (toErrorMessage)
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2021-09-24 01:56:37 +03:00
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import Hasura.GraphQL.Schema.Backend
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import Hasura.GraphQL.Schema.BoolExp
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import Hasura.GraphQL.Schema.Build qualified as GSB
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import Hasura.GraphQL.Schema.Common
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2022-07-12 17:00:15 +03:00
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import Hasura.GraphQL.Schema.NamingCase
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2022-07-14 20:57:28 +03:00
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import Hasura.GraphQL.Schema.Options qualified as Options
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server: Metadata origin for definitions (type parameter version v2)
The code that builds the GraphQL schema, and `buildGQLContext` in particular, is partial: not every value of `(ServerConfigCtx, GraphQLQueryType, SourceCache, HashMap RemoteSchemaName (RemoteSchemaCtx, MetadataObject), ActionCache, AnnotatedCustomTypes)` results in a valid GraphQL schema. When it fails, we want to be able to return better error messages than we currently do.
The key thing that is missing is a way to trace back GraphQL type information to their origin from the Hasura metadata. Currently, we have a number of correctness checks of our GraphQL schema. But these correctness checks only have access to pure GraphQL type information, and hence can only report errors in terms of that. Possibly the worst is the "conflicting definitions" error, which, in practice, can only be debugged by Hasura engineers. This is terrible DX for customers.
This PR allows us to print better error messages, by adding a field to the `Definition` type that traces the GraphQL type to its origin in the metadata. So the idea is simple: just add `MetadataObjId`, or `Maybe` that, or some other sum type of that, to `Definition`.
However, we want to avoid having to import a `Hasura.RQL` module from `Hasura.GraphQL.Parser`. So we instead define this additional field of `Definition` through a new type parameter, which is threaded through in `Hasura.GraphQL.Parser`. We then define type synonyms in `Hasura.GraphQL.Schema.Parser` that fill in this type parameter, so that it is not visible for the majority of the codebase.
The idea of associating metadata information to `Definition`s really comes to fruition when combined with hasura/graphql-engine-mono#4517. Their combination would allow us to use the API of fatal errors (just like the current `MonadError QErr`) to report _inconsistencies_ in the metadata. Such inconsistencies are then _automatically_ ignored. So no ad-hoc decisions need to be made on how to cut out inconsistent metadata from the GraphQL schema. This will allow us to report much better errors, as well as improve the likelihood of a successful HGE startup.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4770
Co-authored-by: Samir Talwar <47582+SamirTalwar@users.noreply.github.com>
GitOrigin-RevId: 728402b0cae83ae8e83463a826ceeb609001acae
2022-06-28 18:52:26 +03:00
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import Hasura.GraphQL.Schema.Parser
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( FieldParser,
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InputFieldsParser,
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Kind (..),
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server: refactor `MonadSchema` into `MonadMemoize`
Followup to hasura/graphql-engine-mono#4713.
The `memoizeOn` method, part of `MonadSchema`, originally had the following type:
```haskell
memoizeOn
:: (HasCallStack, Ord a, Typeable a, Typeable b, Typeable k)
=> TH.Name
-> a
-> m (Parser k n b)
-> m (Parser k n b)
```
The reason for operating on `Parser`s specifically was that the `MonadSchema` effect would additionally initialize certain `Unique` values, which appear (nested in) the type of `Parser`.
hasura/graphql-engine-mono#518 changed the type of `memoizeOn`, to additionally allow memoizing `FieldParser`s. These also contained a `Unique` value, which was similarly initialized by the `MonadSchema` effect. The new type of `memoizeOn` was as follows:
```haskell
memoizeOn
:: forall p d a b
. (HasCallStack, HasDefinition (p n b) d, Ord a, Typeable p, Typeable a, Typeable b)
=> TH.Name
-> a
-> m (p n b)
-> m (p n b)
```
Note the type `p n b` of the value being memoized: by choosing `p` to be either `Parser k` or `FieldParser`, both can be memoized. Also note the new `HasDefinition (p n b) d` constraint, which provided a `Lens` for accessing the `Unique` value to be initialized.
A quick simplification is that the `HasCallStack` constraint has never been used by any code. This was realized in hasura/graphql-engine-mono#4713, by removing that constraint.
hasura/graphql-engine-mono#2980 removed the `Unique` value from our GraphQL-related types entirely, as their original purpose was never truly realized. One part of removing `Unique` consisted of dropping the `HasDefinition (p n b) d` constraint from `memoizeOn`.
What I didn't realize at the time was that this meant that the type of `memoizeOn` could be generalized and simplified much further. This PR finally implements that generalization. The new type is as follows:
```haskell
memoizeOn ::
forall a p.
(Ord a, Typeable a, Typeable p) =>
TH.Name ->
a ->
m p ->
m p
```
This change has a couple of consequences.
1. While constructing the schema, we often output `Maybe (Parser ...)`, to model that the existence of certain pieces of GraphQL schema sometimes depends on the permissions that a certain role has. The previous versions of `memoizeOn` were not able to handle this, as the only thing they could memoize was fully-defined (if not yet fully-evaluated) `(Field)Parser`s. This much more general API _would_ allow memoizing `Maybe (Parser ...)`s. However, we probably have to be continue being cautious with this: if we blindly memoize all `Maybe (Parser ...)`s, the resulting code may never be able to decide whether the value is `Just` or `Nothing` - i.e. it never commits to the existence-or-not of a GraphQL schema fragment. This would manifest as a non-well-founded knot tying, and this would get reported as an error by the implementation of `memoizeOn`.
tl;dr: This generalization _technically_ allows for memoizing `Maybe` values, but we probably still want to avoid doing so.
For this reason, the PR adds a specialized version of `memoizeOn` to `Hasura.GraphQL.Schema.Parser`.
2. There is no longer any need to connect the `MonadSchema` knot-tying effect with the `MonadParse` effect. In fact, after this PR, the `memoizeOn` method is completely GraphQL-agnostic, and so we implement hasura/graphql-engine-mono#4726, separating `memoizeOn` from `MonadParse` entirely - `memoizeOn` can be defined and implemented as a general Haskell typeclass method.
Since `MonadSchema` has been made into a single-type-parameter type class, it has been renamed to something more general, namely `MonadMemoize`. Its only task is to memoize arbitrary `Typeable p` objects under a combined key consisting of a `TH.Name` and a `Typeable a`.
Also for this reason, the new `MonadMemoize` has been moved to the more general `Control.Monad.Memoize`.
3. After this change, it's somewhat clearer what `memoizeOn` does: it memoizes an arbitrary value of a `Typeable` type. The only thing that needs to be understood in its implementation is how the manual blackholing works. There is no more semantic interaction with _any_ GraphQL code.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4725
Co-authored-by: Daniel Harvey <4729125+danieljharvey@users.noreply.github.com>
GitOrigin-RevId: 089fa2e82c2ce29da76850e994eabb1e261f9c92
2022-08-04 16:44:14 +03:00
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MonadMemoize,
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server: Metadata origin for definitions (type parameter version v2)
The code that builds the GraphQL schema, and `buildGQLContext` in particular, is partial: not every value of `(ServerConfigCtx, GraphQLQueryType, SourceCache, HashMap RemoteSchemaName (RemoteSchemaCtx, MetadataObject), ActionCache, AnnotatedCustomTypes)` results in a valid GraphQL schema. When it fails, we want to be able to return better error messages than we currently do.
The key thing that is missing is a way to trace back GraphQL type information to their origin from the Hasura metadata. Currently, we have a number of correctness checks of our GraphQL schema. But these correctness checks only have access to pure GraphQL type information, and hence can only report errors in terms of that. Possibly the worst is the "conflicting definitions" error, which, in practice, can only be debugged by Hasura engineers. This is terrible DX for customers.
This PR allows us to print better error messages, by adding a field to the `Definition` type that traces the GraphQL type to its origin in the metadata. So the idea is simple: just add `MetadataObjId`, or `Maybe` that, or some other sum type of that, to `Definition`.
However, we want to avoid having to import a `Hasura.RQL` module from `Hasura.GraphQL.Parser`. So we instead define this additional field of `Definition` through a new type parameter, which is threaded through in `Hasura.GraphQL.Parser`. We then define type synonyms in `Hasura.GraphQL.Schema.Parser` that fill in this type parameter, so that it is not visible for the majority of the codebase.
The idea of associating metadata information to `Definition`s really comes to fruition when combined with hasura/graphql-engine-mono#4517. Their combination would allow us to use the API of fatal errors (just like the current `MonadError QErr`) to report _inconsistencies_ in the metadata. Such inconsistencies are then _automatically_ ignored. So no ad-hoc decisions need to be made on how to cut out inconsistent metadata from the GraphQL schema. This will allow us to report much better errors, as well as improve the likelihood of a successful HGE startup.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4770
Co-authored-by: Samir Talwar <47582+SamirTalwar@users.noreply.github.com>
GitOrigin-RevId: 728402b0cae83ae8e83463a826ceeb609001acae
2022-06-28 18:52:26 +03:00
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MonadParse,
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Parser,
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)
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import Hasura.GraphQL.Schema.Parser qualified as P
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2021-09-24 01:56:37 +03:00
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import Hasura.GraphQL.Schema.Select
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2022-05-25 13:24:41 +03:00
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import Hasura.GraphQL.Schema.Table
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2022-07-12 17:00:15 +03:00
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import Hasura.GraphQL.Schema.Typename
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2022-06-23 12:14:24 +03:00
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import Hasura.Name qualified as Name
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2021-09-24 01:56:37 +03:00
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import Hasura.Prelude
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2022-04-27 16:57:28 +03:00
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import Hasura.RQL.IR.BoolExp
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2021-09-24 01:56:37 +03:00
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import Hasura.RQL.IR.Select qualified as IR
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2022-05-31 01:07:02 +03:00
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import Hasura.RQL.IR.Value qualified as IR
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2022-04-27 16:57:28 +03:00
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import Hasura.RQL.Types.Backend
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import Hasura.RQL.Types.Column
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import Hasura.RQL.Types.Common
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import Hasura.RQL.Types.ComputedField
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import Hasura.RQL.Types.Function
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Remove circular dependency in schema building code
### Description
The main goal of this PR is, as stated, to remove the circular dependency in the schema building code. This cycle arises from the existence of remote relationships: when we build the schema for a source A, a remote relationship might force us to jump to the schema of a source B, or some remote schema. As a result, we end up having to do a dispatch from a "leaf" of the schema, similar to the one done at the root. In turn, this forces us to carry along in the schema a lot of information required for that dispatch, AND it forces us to import the instances in scope, creating an import loop.
As discussed in #4489, this PR implements the "dependency injection" solution: we pass to the schema a function to call to do the dispatch, and to get a generated field for a remote relationship. That way, this function can be chosen at the root level, and the leaves need not be aware of the overall context.
This PR grew a bit bigger than that, however; in an attempt to try and remove the `SourceCache` from the schema altogether, it changed a lot of functions across the schema building code, to thread along the `SourceInfo b` of the source being built. This avoids having to do cache lookups within a given source. A few cases remain, such as relay, that we might try to tackle in a subsequent PR.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4557
GitOrigin-RevId: 9388e48372877520a72a9fd1677005df9f7b2d72
2022-05-27 20:21:22 +03:00
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import Hasura.RQL.Types.Source (SourceInfo)
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2022-06-07 19:49:13 +03:00
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import Hasura.RQL.Types.Table
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2022-04-27 16:57:28 +03:00
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import Hasura.SQL.Backend
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2021-09-24 01:56:37 +03:00
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import Language.GraphQL.Draft.Syntax qualified as G
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2021-05-11 18:18:31 +03:00
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2021-04-12 13:18:29 +03:00
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----------------------------------------------------------------
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-- BackendSchema instance
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instance BackendSchema 'BigQuery where
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-- top level parsers
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2022-06-07 08:32:08 +03:00
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buildTableQueryAndSubscriptionFields = GSB.buildTableQueryAndSubscriptionFields
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2022-08-11 14:57:06 +03:00
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buildTableRelayQueryFields _ _ _ _ _ _ = pure []
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2022-04-22 22:53:12 +03:00
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buildTableStreamingSubscriptionFields = GSB.buildTableStreamingSubscriptionFields
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2022-08-11 14:57:06 +03:00
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buildTableInsertMutationFields _ _ _ _ _ _ = pure []
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buildTableUpdateMutationFields _ _ _ _ _ _ = pure []
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buildTableDeleteMutationFields _ _ _ _ _ _ = pure []
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buildFunctionQueryFields _ _ _ _ _ = pure []
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buildFunctionRelayQueryFields _ _ _ _ _ _ = pure []
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buildFunctionMutationFields _ _ _ _ _ = pure []
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2021-06-15 18:53:20 +03:00
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2021-04-12 13:18:29 +03:00
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-- backend extensions
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2021-09-24 01:56:37 +03:00
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relayExtension = Nothing
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nodesAggExtension = Just ()
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2022-04-22 22:53:12 +03:00
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streamSubscriptionExtension = Nothing
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2021-06-15 18:53:20 +03:00
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2022-06-30 18:22:19 +03:00
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-- individual components
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2021-09-24 01:56:37 +03:00
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columnParser = bqColumnParser
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2022-08-11 14:57:06 +03:00
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scalarSelectionArgumentsParser _ = pure Nothing
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2022-06-10 06:59:00 +03:00
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orderByOperators _sourceInfo = bqOrderByOperators
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2022-09-06 07:24:46 +03:00
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comparisonExps = const bqComparisonExps
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2022-01-18 17:53:44 +03:00
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countTypeInput = bqCountTypeInput
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2021-04-12 13:18:29 +03:00
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aggregateOrderByCountType = BigQuery.IntegerScalarType
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2021-09-24 01:56:37 +03:00
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computedField = bqComputedField
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2021-06-15 18:53:20 +03:00
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2022-06-30 18:22:19 +03:00
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instance BackendTableSelectSchema 'BigQuery where
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tableArguments = defaultTableArgs
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selectTable = defaultSelectTable
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selectTableAggregate = defaultSelectTableAggregate
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tableSelectionSet = defaultTableSelectionSet
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2021-04-12 13:18:29 +03:00
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----------------------------------------------------------------
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-- Individual components
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2021-09-24 01:56:37 +03:00
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bqColumnParser ::
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2022-08-17 15:46:36 +03:00
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(MonadParse n, MonadError QErr m, MonadReader r m, Has MkTypename r, Has NamingCase r) =>
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2021-09-24 01:56:37 +03:00
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ColumnType 'BigQuery ->
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G.Nullability ->
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2022-05-31 01:07:02 +03:00
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m (Parser 'Both n (IR.ValueWithOrigin (ColumnValue 'BigQuery)))
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2021-06-15 18:53:20 +03:00
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bqColumnParser columnType (G.Nullability isNullable) =
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server: remove remnants of query plan caching (fix #1795)
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
2021-07-27 14:51:52 +03:00
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peelWithOrigin . fmap (ColumnValue columnType) <$> case columnType of
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2021-04-12 13:18:29 +03:00
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ColumnScalar scalarType -> case scalarType of
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-- bytestrings
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-- we only accept string literals
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2022-06-23 12:14:24 +03:00
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BigQuery.BytesScalarType -> pure $ possiblyNullable scalarType $ BigQuery.StringValue <$> stringBased _Bytes
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2021-04-12 13:18:29 +03:00
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-- text
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2021-09-24 01:56:37 +03:00
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BigQuery.StringScalarType -> pure $ possiblyNullable scalarType $ BigQuery.StringValue <$> P.string
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2021-04-12 13:18:29 +03:00
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-- floating point values
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-- TODO: we do not perform size checks here, meaning we would accept an
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-- out-of-bounds value as long as it can be represented by a GraphQL float; this
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-- will in all likelihood error on the BigQuery side. Do we want to handle those
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-- properly here?
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2021-09-24 01:56:37 +03:00
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BigQuery.FloatScalarType -> pure $ possiblyNullable scalarType $ BigQuery.FloatValue . BigQuery.doubleToFloat64 <$> P.float
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BigQuery.IntegerScalarType -> pure $ possiblyNullable scalarType $ BigQuery.IntegerValue . BigQuery.intToInt64 . fromIntegral <$> P.int
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2022-04-13 20:08:46 +03:00
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BigQuery.DecimalScalarType -> pure $ possiblyNullable scalarType $ BigQuery.DecimalValue . BigQuery.Decimal . BigQuery.scientificToText <$> P.scientific
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2022-04-19 14:36:48 +03:00
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BigQuery.BigDecimalScalarType -> pure $ possiblyNullable scalarType $ BigQuery.BigDecimalValue . BigQuery.BigDecimal . BigQuery.scientificToText <$> P.scientific
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2021-04-12 13:18:29 +03:00
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-- boolean type
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2021-09-24 01:56:37 +03:00
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BigQuery.BoolScalarType -> pure $ possiblyNullable scalarType $ BigQuery.BoolValue <$> P.boolean
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2022-06-23 12:14:24 +03:00
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BigQuery.DateScalarType -> pure $ possiblyNullable scalarType $ BigQuery.DateValue . BigQuery.Date <$> stringBased _Date
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BigQuery.TimeScalarType -> pure $ possiblyNullable scalarType $ BigQuery.TimeValue . BigQuery.Time <$> stringBased _Time
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BigQuery.DatetimeScalarType -> pure $ possiblyNullable scalarType $ BigQuery.DatetimeValue . BigQuery.Datetime <$> stringBased _Datetime
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2022-01-18 16:33:27 +03:00
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BigQuery.GeographyScalarType ->
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2022-06-23 12:14:24 +03:00
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pure $ possiblyNullable scalarType $ BigQuery.GeographyValue . BigQuery.Geography <$> throughJSON _Geography
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2022-02-21 17:47:04 +03:00
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BigQuery.TimestampScalarType ->
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2022-06-23 12:14:24 +03:00
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pure $ possiblyNullable scalarType $ BigQuery.TimestampValue . BigQuery.Timestamp <$> stringBased _Timestamp
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2021-05-11 18:18:31 +03:00
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ty -> throwError $ internalError $ T.pack $ "Type currently unsupported for BigQuery: " ++ show ty
|
2022-04-13 13:07:06 +03:00
|
|
|
ColumnEnumReference enumRef@(EnumReference _ enumValues _) ->
|
2021-04-12 13:18:29 +03:00
|
|
|
case nonEmpty (Map.toList enumValues) of
|
|
|
|
Just enumValuesList -> do
|
2022-04-13 13:07:06 +03:00
|
|
|
enumName <- mkEnumTypeName enumRef
|
2021-04-12 13:18:29 +03:00
|
|
|
pure $ possiblyNullable BigQuery.StringScalarType $ P.enum enumName Nothing (mkEnumValue <$> enumValuesList)
|
|
|
|
Nothing -> throw400 ValidationFailed "empty enum values"
|
|
|
|
where
|
|
|
|
possiblyNullable _scalarType
|
|
|
|
| isNullable = fmap (fromMaybe BigQuery.NullValue) . P.nullable
|
2021-09-24 01:56:37 +03:00
|
|
|
| otherwise = id
|
2021-04-12 13:18:29 +03:00
|
|
|
mkEnumValue :: (EnumValue, EnumValueInfo) -> (P.Definition P.EnumValueInfo, ScalarValue 'BigQuery)
|
|
|
|
mkEnumValue (EnumValue value, EnumValueInfo description) =
|
2022-07-25 18:53:25 +03:00
|
|
|
( P.Definition value (G.Description <$> description) Nothing [] P.EnumValueInfo,
|
2021-09-24 01:56:37 +03:00
|
|
|
BigQuery.StringValue $ G.unName value
|
2021-04-12 13:18:29 +03:00
|
|
|
)
|
|
|
|
throughJSON scalarName =
|
2022-07-25 18:53:25 +03:00
|
|
|
let schemaType = P.TNamed P.NonNullable $ P.Definition scalarName Nothing Nothing [] P.TIScalar
|
server: Metadata origin for definitions (type parameter version v2)
The code that builds the GraphQL schema, and `buildGQLContext` in particular, is partial: not every value of `(ServerConfigCtx, GraphQLQueryType, SourceCache, HashMap RemoteSchemaName (RemoteSchemaCtx, MetadataObject), ActionCache, AnnotatedCustomTypes)` results in a valid GraphQL schema. When it fails, we want to be able to return better error messages than we currently do.
The key thing that is missing is a way to trace back GraphQL type information to their origin from the Hasura metadata. Currently, we have a number of correctness checks of our GraphQL schema. But these correctness checks only have access to pure GraphQL type information, and hence can only report errors in terms of that. Possibly the worst is the "conflicting definitions" error, which, in practice, can only be debugged by Hasura engineers. This is terrible DX for customers.
This PR allows us to print better error messages, by adding a field to the `Definition` type that traces the GraphQL type to its origin in the metadata. So the idea is simple: just add `MetadataObjId`, or `Maybe` that, or some other sum type of that, to `Definition`.
However, we want to avoid having to import a `Hasura.RQL` module from `Hasura.GraphQL.Parser`. So we instead define this additional field of `Definition` through a new type parameter, which is threaded through in `Hasura.GraphQL.Parser`. We then define type synonyms in `Hasura.GraphQL.Schema.Parser` that fill in this type parameter, so that it is not visible for the majority of the codebase.
The idea of associating metadata information to `Definition`s really comes to fruition when combined with hasura/graphql-engine-mono#4517. Their combination would allow us to use the API of fatal errors (just like the current `MonadError QErr`) to report _inconsistencies_ in the metadata. Such inconsistencies are then _automatically_ ignored. So no ad-hoc decisions need to be made on how to cut out inconsistent metadata from the GraphQL schema. This will allow us to report much better errors, as well as improve the likelihood of a successful HGE startup.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4770
Co-authored-by: Samir Talwar <47582+SamirTalwar@users.noreply.github.com>
GitOrigin-RevId: 728402b0cae83ae8e83463a826ceeb609001acae
2022-06-28 18:52:26 +03:00
|
|
|
in P.Parser
|
2021-09-24 01:56:37 +03:00
|
|
|
{ pType = schemaType,
|
|
|
|
pParser =
|
server: Metadata origin for definitions (type parameter version v2)
The code that builds the GraphQL schema, and `buildGQLContext` in particular, is partial: not every value of `(ServerConfigCtx, GraphQLQueryType, SourceCache, HashMap RemoteSchemaName (RemoteSchemaCtx, MetadataObject), ActionCache, AnnotatedCustomTypes)` results in a valid GraphQL schema. When it fails, we want to be able to return better error messages than we currently do.
The key thing that is missing is a way to trace back GraphQL type information to their origin from the Hasura metadata. Currently, we have a number of correctness checks of our GraphQL schema. But these correctness checks only have access to pure GraphQL type information, and hence can only report errors in terms of that. Possibly the worst is the "conflicting definitions" error, which, in practice, can only be debugged by Hasura engineers. This is terrible DX for customers.
This PR allows us to print better error messages, by adding a field to the `Definition` type that traces the GraphQL type to its origin in the metadata. So the idea is simple: just add `MetadataObjId`, or `Maybe` that, or some other sum type of that, to `Definition`.
However, we want to avoid having to import a `Hasura.RQL` module from `Hasura.GraphQL.Parser`. So we instead define this additional field of `Definition` through a new type parameter, which is threaded through in `Hasura.GraphQL.Parser`. We then define type synonyms in `Hasura.GraphQL.Schema.Parser` that fill in this type parameter, so that it is not visible for the majority of the codebase.
The idea of associating metadata information to `Definition`s really comes to fruition when combined with hasura/graphql-engine-mono#4517. Their combination would allow us to use the API of fatal errors (just like the current `MonadError QErr`) to report _inconsistencies_ in the metadata. Such inconsistencies are then _automatically_ ignored. So no ad-hoc decisions need to be made on how to cut out inconsistent metadata from the GraphQL schema. This will allow us to report much better errors, as well as improve the likelihood of a successful HGE startup.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4770
Co-authored-by: Samir Talwar <47582+SamirTalwar@users.noreply.github.com>
GitOrigin-RevId: 728402b0cae83ae8e83463a826ceeb609001acae
2022-06-28 18:52:26 +03:00
|
|
|
P.valueToJSON (P.toGraphQLType schemaType)
|
2022-07-27 15:24:50 +03:00
|
|
|
>=> either (P.parseErrorWith P.ParseFailed . toErrorMessage . qeError) pure . runAesonParser J.parseJSON
|
2021-09-24 01:56:37 +03:00
|
|
|
}
|
2022-01-18 16:33:27 +03:00
|
|
|
stringBased :: MonadParse m => G.Name -> Parser 'Both m Text
|
|
|
|
stringBased scalarName =
|
2022-07-25 18:53:25 +03:00
|
|
|
P.string {P.pType = P.TNamed P.NonNullable $ P.Definition scalarName Nothing Nothing [] P.TIScalar}
|
2021-09-24 01:56:37 +03:00
|
|
|
|
|
|
|
bqOrderByOperators ::
|
2022-05-26 14:54:30 +03:00
|
|
|
NamingCase ->
|
2022-06-10 06:59:00 +03:00
|
|
|
( G.Name,
|
|
|
|
NonEmpty
|
server: Metadata origin for definitions (type parameter version v2)
The code that builds the GraphQL schema, and `buildGQLContext` in particular, is partial: not every value of `(ServerConfigCtx, GraphQLQueryType, SourceCache, HashMap RemoteSchemaName (RemoteSchemaCtx, MetadataObject), ActionCache, AnnotatedCustomTypes)` results in a valid GraphQL schema. When it fails, we want to be able to return better error messages than we currently do.
The key thing that is missing is a way to trace back GraphQL type information to their origin from the Hasura metadata. Currently, we have a number of correctness checks of our GraphQL schema. But these correctness checks only have access to pure GraphQL type information, and hence can only report errors in terms of that. Possibly the worst is the "conflicting definitions" error, which, in practice, can only be debugged by Hasura engineers. This is terrible DX for customers.
This PR allows us to print better error messages, by adding a field to the `Definition` type that traces the GraphQL type to its origin in the metadata. So the idea is simple: just add `MetadataObjId`, or `Maybe` that, or some other sum type of that, to `Definition`.
However, we want to avoid having to import a `Hasura.RQL` module from `Hasura.GraphQL.Parser`. So we instead define this additional field of `Definition` through a new type parameter, which is threaded through in `Hasura.GraphQL.Parser`. We then define type synonyms in `Hasura.GraphQL.Schema.Parser` that fill in this type parameter, so that it is not visible for the majority of the codebase.
The idea of associating metadata information to `Definition`s really comes to fruition when combined with hasura/graphql-engine-mono#4517. Their combination would allow us to use the API of fatal errors (just like the current `MonadError QErr`) to report _inconsistencies_ in the metadata. Such inconsistencies are then _automatically_ ignored. So no ad-hoc decisions need to be made on how to cut out inconsistent metadata from the GraphQL schema. This will allow us to report much better errors, as well as improve the likelihood of a successful HGE startup.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4770
Co-authored-by: Samir Talwar <47582+SamirTalwar@users.noreply.github.com>
GitOrigin-RevId: 728402b0cae83ae8e83463a826ceeb609001acae
2022-06-28 18:52:26 +03:00
|
|
|
( P.Definition P.EnumValueInfo,
|
2022-06-10 06:59:00 +03:00
|
|
|
(BasicOrderType 'BigQuery, NullsOrderType 'BigQuery)
|
2021-09-24 01:56:37 +03:00
|
|
|
)
|
2022-06-10 06:59:00 +03:00
|
|
|
)
|
|
|
|
bqOrderByOperators _tCase =
|
2022-06-23 12:14:24 +03:00
|
|
|
(Name._order_by,) $
|
2022-06-10 06:59:00 +03:00
|
|
|
-- NOTE: NamingCase is not being used here as we don't support naming conventions for this DB
|
|
|
|
NE.fromList
|
2022-06-23 12:14:24 +03:00
|
|
|
[ ( define Name._asc "in ascending order, nulls first",
|
2022-06-10 06:59:00 +03:00
|
|
|
(BigQuery.AscOrder, BigQuery.NullsFirst)
|
|
|
|
),
|
2022-06-23 12:14:24 +03:00
|
|
|
( define Name._asc_nulls_first "in ascending order, nulls first",
|
2022-06-10 06:59:00 +03:00
|
|
|
(BigQuery.AscOrder, BigQuery.NullsFirst)
|
|
|
|
),
|
2022-06-23 12:14:24 +03:00
|
|
|
( define Name._asc_nulls_last "in ascending order, nulls last",
|
2022-06-10 06:59:00 +03:00
|
|
|
(BigQuery.AscOrder, BigQuery.NullsLast)
|
|
|
|
),
|
2022-06-23 12:14:24 +03:00
|
|
|
( define Name._desc "in descending order, nulls last",
|
2022-06-10 06:59:00 +03:00
|
|
|
(BigQuery.DescOrder, BigQuery.NullsLast)
|
|
|
|
),
|
2022-06-23 12:14:24 +03:00
|
|
|
( define Name._desc_nulls_first "in descending order, nulls first",
|
2022-06-10 06:59:00 +03:00
|
|
|
(BigQuery.DescOrder, BigQuery.NullsFirst)
|
|
|
|
),
|
2022-06-23 12:14:24 +03:00
|
|
|
( define Name._desc_nulls_last "in descending order, nulls last",
|
2022-06-10 06:59:00 +03:00
|
|
|
(BigQuery.DescOrder, BigQuery.NullsLast)
|
|
|
|
)
|
|
|
|
]
|
2021-04-12 13:18:29 +03:00
|
|
|
where
|
2022-07-25 18:53:25 +03:00
|
|
|
define name desc = P.Definition name (Just desc) Nothing [] P.EnumValueInfo
|
2021-04-12 13:18:29 +03:00
|
|
|
|
2021-09-24 01:56:37 +03:00
|
|
|
bqComparisonExps ::
|
|
|
|
forall m n r.
|
Remove circular dependency in schema building code
### Description
The main goal of this PR is, as stated, to remove the circular dependency in the schema building code. This cycle arises from the existence of remote relationships: when we build the schema for a source A, a remote relationship might force us to jump to the schema of a source B, or some remote schema. As a result, we end up having to do a dispatch from a "leaf" of the schema, similar to the one done at the root. In turn, this forces us to carry along in the schema a lot of information required for that dispatch, AND it forces us to import the instances in scope, creating an import loop.
As discussed in #4489, this PR implements the "dependency injection" solution: we pass to the schema a function to call to do the dispatch, and to get a generated field for a remote relationship. That way, this function can be chosen at the root level, and the leaves need not be aware of the overall context.
This PR grew a bit bigger than that, however; in an attempt to try and remove the `SourceCache` from the schema altogether, it changed a lot of functions across the schema building code, to thread along the `SourceInfo b` of the source being built. This avoids having to do cache lookups within a given source. A few cases remain, such as relay, that we might try to tackle in a subsequent PR.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4557
GitOrigin-RevId: 9388e48372877520a72a9fd1677005df9f7b2d72
2022-05-27 20:21:22 +03:00
|
|
|
(MonadBuildSchema 'BigQuery r m n) =>
|
2021-09-24 01:56:37 +03:00
|
|
|
ColumnType 'BigQuery ->
|
|
|
|
m (Parser 'Input n [ComparisonExp 'BigQuery])
|
2021-06-15 18:53:20 +03:00
|
|
|
bqComparisonExps = P.memoize 'comparisonExps $ \columnType -> do
|
2022-07-14 20:57:28 +03:00
|
|
|
collapseIfNull <- retrieve Options.soDangerousBooleanCollapse
|
|
|
|
|
2022-01-18 16:33:27 +03:00
|
|
|
dWithinGeogOpParser <- geographyWithinDistanceInput
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase <- asks getter
|
2021-04-12 13:18:29 +03:00
|
|
|
-- see Note [Columns in comparison expression are never nullable]
|
2021-09-24 01:56:37 +03:00
|
|
|
typedParser <- columnParser columnType (G.Nullability False)
|
2021-10-29 17:42:07 +03:00
|
|
|
-- textParser <- columnParser (ColumnScalar @'BigQuery BigQuery.StringScalarType) (G.Nullability False)
|
2022-06-23 12:14:24 +03:00
|
|
|
let name = P.getName typedParser <> Name.__BigQuery_comparison_exp
|
2021-09-24 01:56:37 +03:00
|
|
|
desc =
|
|
|
|
G.Description $
|
|
|
|
"Boolean expression to compare columns of type "
|
|
|
|
<> P.getName typedParser
|
|
|
|
<<> ". All fields are combined with logical 'AND'."
|
2021-10-29 17:42:07 +03:00
|
|
|
-- textListParser = fmap openValueOrigin <$> P.list textParser
|
2022-05-31 01:07:02 +03:00
|
|
|
columnListParser = fmap IR.openValueOrigin <$> P.list typedParser
|
|
|
|
mkListLiteral :: [ColumnValue 'BigQuery] -> IR.UnpreparedValue 'BigQuery
|
2021-08-06 22:57:37 +03:00
|
|
|
mkListLiteral =
|
2022-05-31 01:07:02 +03:00
|
|
|
IR.UVLiteral . BigQuery.ListExpression . fmap (BigQuery.ValueExpression . cvValue)
|
2021-09-24 01:56:37 +03:00
|
|
|
pure $
|
|
|
|
P.object name (Just desc) $
|
|
|
|
fmap catMaybes $
|
|
|
|
sequenceA $
|
|
|
|
concat
|
2022-01-18 16:33:27 +03:00
|
|
|
[ -- from https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types:
|
|
|
|
-- GEOGRAPHY comparisons are not supported. To compare GEOGRAPHY values, use ST_Equals.
|
|
|
|
guard (isScalarColumnWhere (/= BigQuery.GeographyScalarType) columnType)
|
|
|
|
*> equalityOperators
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-05-31 01:07:02 +03:00
|
|
|
(IR.mkParameter <$> typedParser)
|
2022-01-18 16:33:27 +03:00
|
|
|
(mkListLiteral <$> columnListParser),
|
|
|
|
guard (isScalarColumnWhere (/= BigQuery.GeographyScalarType) columnType)
|
|
|
|
*> comparisonOperators
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-05-31 01:07:02 +03:00
|
|
|
(IR.mkParameter <$> typedParser),
|
2022-01-18 16:33:27 +03:00
|
|
|
-- Ops for String type
|
|
|
|
guard (isScalarColumnWhere (== BigQuery.StringScalarType) columnType)
|
|
|
|
*> [ mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedName Name.__like)
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "does the column match the given pattern")
|
2022-05-31 01:07:02 +03:00
|
|
|
(ALIKE . IR.mkParameter <$> typedParser),
|
2022-01-18 16:33:27 +03:00
|
|
|
mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedName Name.__nlike)
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "does the column NOT match the given pattern")
|
2022-05-31 01:07:02 +03:00
|
|
|
(ANLIKE . IR.mkParameter <$> typedParser)
|
2022-01-18 16:33:27 +03:00
|
|
|
],
|
|
|
|
-- Ops for Bytes type
|
|
|
|
guard (isScalarColumnWhere (== BigQuery.BytesScalarType) columnType)
|
|
|
|
*> [ mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedName Name.__like)
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "does the column match the given pattern")
|
2022-05-31 01:07:02 +03:00
|
|
|
(ALIKE . IR.mkParameter <$> typedParser),
|
2022-01-18 16:33:27 +03:00
|
|
|
mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedName Name.__nlike)
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "does the column NOT match the given pattern")
|
2022-05-31 01:07:02 +03:00
|
|
|
(ANLIKE . IR.mkParameter <$> typedParser)
|
2022-01-18 16:33:27 +03:00
|
|
|
],
|
|
|
|
-- Ops for Geography type
|
|
|
|
guard (isScalarColumnWhere (== BigQuery.GeographyScalarType) columnType)
|
|
|
|
*> [ mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedTuple $$(G.litGQLIdentifier ["_st", "contains"]))
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "does the column contain the given geography value")
|
2022-05-31 01:07:02 +03:00
|
|
|
(ABackendSpecific . BigQuery.ASTContains . IR.mkParameter <$> typedParser),
|
2022-01-18 16:33:27 +03:00
|
|
|
mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedTuple $$(G.litGQLIdentifier ["_st", "equals"]))
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "is the column equal to given geography value (directionality is ignored)")
|
2022-05-31 01:07:02 +03:00
|
|
|
(ABackendSpecific . BigQuery.ASTEquals . IR.mkParameter <$> typedParser),
|
2022-01-18 16:33:27 +03:00
|
|
|
mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedTuple $$(G.litGQLIdentifier ["_st", "touches"]))
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "does the column have at least one point in common with the given geography value")
|
2022-05-31 01:07:02 +03:00
|
|
|
(ABackendSpecific . BigQuery.ASTTouches . IR.mkParameter <$> typedParser),
|
2022-01-18 16:33:27 +03:00
|
|
|
mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedTuple $$(G.litGQLIdentifier ["_st", "within"]))
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "is the column contained in the given geography value")
|
2022-05-31 01:07:02 +03:00
|
|
|
(ABackendSpecific . BigQuery.ASTWithin . IR.mkParameter <$> typedParser),
|
2022-01-18 16:33:27 +03:00
|
|
|
mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedTuple $$(G.litGQLIdentifier ["_st", "intersects"]))
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "does the column spatially intersect the given geography value")
|
2022-05-31 01:07:02 +03:00
|
|
|
(ABackendSpecific . BigQuery.ASTIntersects . IR.mkParameter <$> typedParser),
|
2022-01-18 16:33:27 +03:00
|
|
|
mkBoolOperator
|
2022-05-26 14:54:30 +03:00
|
|
|
tCase
|
2022-01-18 16:33:27 +03:00
|
|
|
collapseIfNull
|
2022-08-17 15:46:36 +03:00
|
|
|
(C.fromAutogeneratedTuple $$(G.litGQLIdentifier ["_st", "d", "within"]))
|
2022-01-18 16:33:27 +03:00
|
|
|
(Just "is the column within a given distance from the given geometry value")
|
|
|
|
(ABackendSpecific . BigQuery.ASTDWithin <$> dWithinGeogOpParser)
|
|
|
|
]
|
2021-09-24 01:56:37 +03:00
|
|
|
]
|
|
|
|
|
2022-01-18 17:53:44 +03:00
|
|
|
bqCountTypeInput ::
|
|
|
|
MonadParse n =>
|
|
|
|
Maybe (Parser 'Both n (Column 'BigQuery)) ->
|
|
|
|
InputFieldsParser n (IR.CountDistinct -> CountType 'BigQuery)
|
|
|
|
bqCountTypeInput = \case
|
|
|
|
Just columnEnum -> do
|
2022-06-23 12:14:24 +03:00
|
|
|
columns <- P.fieldOptional Name._columns Nothing $ P.list columnEnum
|
2022-01-18 17:53:44 +03:00
|
|
|
pure $ flip mkCountType columns
|
|
|
|
Nothing -> pure $ flip mkCountType Nothing
|
|
|
|
where
|
|
|
|
mkCountType :: IR.CountDistinct -> Maybe [Column 'BigQuery] -> CountType 'BigQuery
|
|
|
|
mkCountType _ Nothing = BigQuery.StarCountable
|
|
|
|
mkCountType IR.SelectCountDistinct (Just cols) =
|
|
|
|
maybe BigQuery.StarCountable BigQuery.DistinctCountable $ nonEmpty cols
|
|
|
|
mkCountType IR.SelectCountNonDistinct (Just cols) =
|
|
|
|
maybe BigQuery.StarCountable BigQuery.NonNullFieldCountable $ nonEmpty cols
|
|
|
|
|
2022-01-18 16:33:27 +03:00
|
|
|
geographyWithinDistanceInput ::
|
|
|
|
forall m n r.
|
2022-08-17 15:46:36 +03:00
|
|
|
(MonadMemoize m, MonadBuildSchema 'BigQuery r m n) =>
|
2022-05-31 01:07:02 +03:00
|
|
|
m (Parser 'Input n (DWithinGeogOp (IR.UnpreparedValue 'BigQuery)))
|
2022-01-18 16:33:27 +03:00
|
|
|
geographyWithinDistanceInput = do
|
|
|
|
geographyParser <- columnParser (ColumnScalar BigQuery.GeographyScalarType) (G.Nullability False)
|
|
|
|
-- practically BigQuery (as of 2021-11-19) doesn't support TRUE as use_spheroid parameter for ST_DWITHIN
|
|
|
|
booleanParser <- columnParser (ColumnScalar BigQuery.BoolScalarType) (G.Nullability True)
|
|
|
|
floatParser <- columnParser (ColumnScalar BigQuery.FloatScalarType) (G.Nullability False)
|
|
|
|
pure $
|
2022-06-23 12:14:24 +03:00
|
|
|
P.object Name._st_dwithin_input Nothing $
|
|
|
|
DWithinGeogOp <$> (IR.mkParameter <$> P.field Name._distance Nothing floatParser)
|
|
|
|
<*> (IR.mkParameter <$> P.field Name._from Nothing geographyParser)
|
|
|
|
<*> (IR.mkParameter <$> P.fieldWithDefault Name._use_spheroid Nothing (G.VBoolean False) booleanParser)
|
2022-01-18 16:33:27 +03:00
|
|
|
|
2021-04-12 13:18:29 +03:00
|
|
|
-- | Computed field parser.
|
2021-09-24 01:56:37 +03:00
|
|
|
bqComputedField ::
|
2022-05-25 13:24:41 +03:00
|
|
|
forall r m n.
|
2021-09-24 01:56:37 +03:00
|
|
|
MonadBuildSchema 'BigQuery r m n =>
|
Remove circular dependency in schema building code
### Description
The main goal of this PR is, as stated, to remove the circular dependency in the schema building code. This cycle arises from the existence of remote relationships: when we build the schema for a source A, a remote relationship might force us to jump to the schema of a source B, or some remote schema. As a result, we end up having to do a dispatch from a "leaf" of the schema, similar to the one done at the root. In turn, this forces us to carry along in the schema a lot of information required for that dispatch, AND it forces us to import the instances in scope, creating an import loop.
As discussed in #4489, this PR implements the "dependency injection" solution: we pass to the schema a function to call to do the dispatch, and to get a generated field for a remote relationship. That way, this function can be chosen at the root level, and the leaves need not be aware of the overall context.
This PR grew a bit bigger than that, however; in an attempt to try and remove the `SourceCache` from the schema altogether, it changed a lot of functions across the schema building code, to thread along the `SourceInfo b` of the source being built. This avoids having to do cache lookups within a given source. A few cases remain, such as relay, that we might try to tackle in a subsequent PR.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4557
GitOrigin-RevId: 9388e48372877520a72a9fd1677005df9f7b2d72
2022-05-27 20:21:22 +03:00
|
|
|
SourceInfo 'BigQuery ->
|
2021-09-24 01:56:37 +03:00
|
|
|
ComputedFieldInfo 'BigQuery ->
|
|
|
|
TableName 'BigQuery ->
|
Role-invariant schema constructors
We build the GraphQL schema by combining building blocks such as `tableSelectionSet` and `columnParser`. These building blocks individually build `{InputFields,Field,}Parser` objects. Those object specify the valid GraphQL schema.
Since the GraphQL schema is role-dependent, at some point we need to know what fragment of the GraphQL schema a specific role is allowed to access, and this is stored in `{Sel,Upd,Ins,Del}PermInfo` objects.
We have passed around these permission objects as function arguments to the schema building blocks since we first started dealing with permissions during the PDV refactor - see hasura/graphql-engine@5168b99e463199b1934d8645bd6cd37eddb64ae1 in hasura/graphql-engine#4111. This means that, for instance, `tableSelectionSet` has as its type:
```haskell
tableSelectionSet ::
forall b r m n.
MonadBuildSchema b r m n =>
SourceName ->
TableInfo b ->
SelPermInfo b ->
m (Parser 'Output n (AnnotatedFields b))
```
There are three reasons to change this.
1. We often pass a `Maybe (xPermInfo b)` instead of a proper `xPermInfo b`, and it's not clear what the intended semantics of this is. Some potential improvements on the data types involved are discussed in issue hasura/graphql-engine-mono#3125.
2. In most cases we also already pass a `TableInfo b`, and together with the `MonadRole` that is usually also in scope, this means that we could look up the required permissions regardless: so passing the permissions explicitly undermines the "single source of truth" principle. Breaking this principle also makes the code more difficult to read.
3. We are working towards role-based parsers (see hasura/graphql-engine-mono#2711), where the `{InputFields,Field,}Parser` objects are constructed in a role-invariant way, so that we have a single object that can be used for all roles. In particular, this means that the schema building blocks _need_ to be constructed in a role-invariant way. While this PR doesn't accomplish that, it does reduce the amount of role-specific arguments being passed, thus fixing hasura/graphql-engine-mono#3068.
Concretely, this PR simply drops the `xPermInfo b` argument from almost all schema building blocks. Instead these objects are looked up from the `TableInfo b` as-needed. The resulting code is considerably simpler and shorter.
One way to interpret this change is as follows. Before this PR, we figured out permissions at the top-level in `Hasura.GraphQL.Schema`, passing down the obtained `xPermInfo` objects as required. After this PR, we have a bottom-up approach where the schema building blocks themselves decide whether they want to be included for a particular role.
So this moves some permission logic out of `Hasura.GraphQL.Schema`, which is very complex.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/3608
GitOrigin-RevId: 51a744f34ec7d57bc8077667ae7f9cb9c4f6c962
2022-02-17 11:16:20 +03:00
|
|
|
TableInfo 'BigQuery ->
|
2021-09-24 01:56:37 +03:00
|
|
|
m (Maybe (FieldParser n (AnnotatedField 'BigQuery)))
|
2022-06-07 19:49:13 +03:00
|
|
|
bqComputedField sourceName ComputedFieldInfo {..} tableName tableInfo = runMaybeT do
|
2022-07-14 20:57:28 +03:00
|
|
|
stringifyNumbers <- retrieve Options.soStringifyNumbers
|
Move RoleName into SchemaContext.
### Description
I am not 100% sure about this PR; while I think the code is better this way, I'm willing to be convinced otherwise.
In short, this PR moves the `RoleName` field into the `SchemaContext`, instead of being a nebulous `Has RoleName` constraint on the reader monad. The major upside of this is that it makes it an explicit named field, rather than something that must be given as part of a tuple of arguments when calling `runReader`.
However, the downside is that it breaks the helper permissions functions of `Schema.Table`, which relied on `Has RoleName r`. This PR makes the choice of passing the role name explicitly to all of those functions, which in turn means first explicitly fetching the role name in a lot of places. It makes it more explicit when a schema building block relies on the role name, but is a bit verbose...
### Alternatives
Some alternatives worth considering:
- attempting something like `Has context r, Has RoleName context`, which would allow them to be independent from the context but still fetch the role name from the reader, but might require type annotations to not be ambiguous
- keeping the permission functions the same, with `Has RoleName r`, and introducing a bunch of newtypes instead of using tuples to explicitly implement all the required `Has` instances
- changing the permission functions to `Has SchemaContext r`, since they are functions used only to build the schema, and therefore may be allowed to be tied to the context.
What do y'all think?
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/5073
GitOrigin-RevId: 8fd09fafb54905a4d115ef30842d35da0c3db5d2
2022-07-29 18:37:09 +03:00
|
|
|
roleName <- retrieve scRole
|
2022-05-25 13:24:41 +03:00
|
|
|
fieldName <- lift $ textToName $ computedFieldNameToText _cfiName
|
|
|
|
functionArgsParser <- lift $ computedFieldFunctionArgs _cfiFunction
|
|
|
|
case _cfiReturnType of
|
|
|
|
BigQuery.ReturnExistingTable returnTable -> do
|
|
|
|
returnTableInfo <- lift $ askTableInfo sourceName returnTable
|
Move RoleName into SchemaContext.
### Description
I am not 100% sure about this PR; while I think the code is better this way, I'm willing to be convinced otherwise.
In short, this PR moves the `RoleName` field into the `SchemaContext`, instead of being a nebulous `Has RoleName` constraint on the reader monad. The major upside of this is that it makes it an explicit named field, rather than something that must be given as part of a tuple of arguments when calling `runReader`.
However, the downside is that it breaks the helper permissions functions of `Schema.Table`, which relied on `Has RoleName r`. This PR makes the choice of passing the role name explicitly to all of those functions, which in turn means first explicitly fetching the role name in a lot of places. It makes it more explicit when a schema building block relies on the role name, but is a bit verbose...
### Alternatives
Some alternatives worth considering:
- attempting something like `Has context r, Has RoleName context`, which would allow them to be independent from the context but still fetch the role name from the reader, but might require type annotations to not be ambiguous
- keeping the permission functions the same, with `Has RoleName r`, and introducing a bunch of newtypes instead of using tuples to explicitly implement all the required `Has` instances
- changing the permission functions to `Has SchemaContext r`, since they are functions used only to build the schema, and therefore may be allowed to be tied to the context.
What do y'all think?
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/5073
GitOrigin-RevId: 8fd09fafb54905a4d115ef30842d35da0c3db5d2
2022-07-29 18:37:09 +03:00
|
|
|
returnTablePermissions <- hoistMaybe $ tableSelectPermissions roleName returnTableInfo
|
2022-05-25 13:24:41 +03:00
|
|
|
selectionSetParser <- MaybeT (fmap (P.multiple . P.nonNullableParser) <$> tableSelectionSet sourceName returnTableInfo)
|
|
|
|
selectArgsParser <- lift $ tableArguments sourceName returnTableInfo
|
|
|
|
let fieldArgsParser = liftA2 (,) functionArgsParser selectArgsParser
|
|
|
|
pure $
|
|
|
|
P.subselection fieldName fieldDescription fieldArgsParser selectionSetParser
|
|
|
|
<&> \((functionArgs', args), fields) ->
|
|
|
|
IR.AFComputedField _cfiXComputedFieldInfo _cfiName $
|
|
|
|
IR.CFSTable JASMultipleRows $
|
|
|
|
IR.AnnSelectG
|
|
|
|
{ IR._asnFields = fields,
|
|
|
|
IR._asnFrom = IR.FromFunction (_cffName _cfiFunction) functionArgs' Nothing,
|
|
|
|
IR._asnPerm = tablePermissionsInfo returnTablePermissions,
|
|
|
|
IR._asnArgs = args,
|
2022-07-19 09:55:42 +03:00
|
|
|
IR._asnStrfyNum = stringifyNumbers,
|
|
|
|
IR._asnNamingConvention = Nothing
|
2022-05-25 13:24:41 +03:00
|
|
|
}
|
|
|
|
BigQuery.ReturnTableSchema returnFields -> do
|
2022-06-07 19:49:13 +03:00
|
|
|
-- Check if the computed field is available in the select permission
|
Move RoleName into SchemaContext.
### Description
I am not 100% sure about this PR; while I think the code is better this way, I'm willing to be convinced otherwise.
In short, this PR moves the `RoleName` field into the `SchemaContext`, instead of being a nebulous `Has RoleName` constraint on the reader monad. The major upside of this is that it makes it an explicit named field, rather than something that must be given as part of a tuple of arguments when calling `runReader`.
However, the downside is that it breaks the helper permissions functions of `Schema.Table`, which relied on `Has RoleName r`. This PR makes the choice of passing the role name explicitly to all of those functions, which in turn means first explicitly fetching the role name in a lot of places. It makes it more explicit when a schema building block relies on the role name, but is a bit verbose...
### Alternatives
Some alternatives worth considering:
- attempting something like `Has context r, Has RoleName context`, which would allow them to be independent from the context but still fetch the role name from the reader, but might require type annotations to not be ambiguous
- keeping the permission functions the same, with `Has RoleName r`, and introducing a bunch of newtypes instead of using tuples to explicitly implement all the required `Has` instances
- changing the permission functions to `Has SchemaContext r`, since they are functions used only to build the schema, and therefore may be allowed to be tied to the context.
What do y'all think?
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/5073
GitOrigin-RevId: 8fd09fafb54905a4d115ef30842d35da0c3db5d2
2022-07-29 18:37:09 +03:00
|
|
|
selectPermissions <- hoistMaybe $ tableSelectPermissions roleName tableInfo
|
2022-06-07 19:49:13 +03:00
|
|
|
guard $ Map.member _cfiName $ spiComputedFields selectPermissions
|
2022-05-25 13:24:41 +03:00
|
|
|
objectTypeName <-
|
2022-07-12 17:00:15 +03:00
|
|
|
mkTypename =<< do
|
2022-05-25 13:24:41 +03:00
|
|
|
computedFieldGQLName <- textToName $ computedFieldNameToText _cfiName
|
2022-06-23 12:14:24 +03:00
|
|
|
pure $ computedFieldGQLName <> Name.__ <> Name.__fields
|
2022-05-25 13:24:41 +03:00
|
|
|
selectionSetParser <- do
|
|
|
|
fieldParsers <- lift $ for returnFields selectArbitraryField
|
|
|
|
let description = G.Description $ "column fields returning by " <>> _cfiName
|
|
|
|
pure $
|
|
|
|
P.selectionSetObject objectTypeName (Just description) fieldParsers []
|
|
|
|
<&> parsedSelectionsToFields IR.AFExpression
|
|
|
|
pure $
|
|
|
|
P.subselection fieldName fieldDescription functionArgsParser selectionSetParser
|
|
|
|
<&> \(functionArgs', fields) ->
|
|
|
|
IR.AFComputedField _cfiXComputedFieldInfo _cfiName $
|
|
|
|
IR.CFSTable JASMultipleRows $
|
|
|
|
IR.AnnSelectG
|
|
|
|
{ IR._asnFields = fields,
|
|
|
|
IR._asnFrom = IR.FromFunction (_cffName _cfiFunction) functionArgs' Nothing,
|
|
|
|
IR._asnPerm = IR.noTablePermissions,
|
|
|
|
IR._asnArgs = IR.noSelectArgs,
|
2022-07-19 09:55:42 +03:00
|
|
|
IR._asnStrfyNum = stringifyNumbers,
|
|
|
|
IR._asnNamingConvention = Nothing
|
2022-05-25 13:24:41 +03:00
|
|
|
}
|
|
|
|
where
|
|
|
|
fieldDescription :: Maybe G.Description
|
|
|
|
fieldDescription = G.Description <$> _cfiDescription
|
|
|
|
|
|
|
|
selectArbitraryField ::
|
|
|
|
(BigQuery.ColumnName, G.Name, BigQuery.ScalarType) ->
|
|
|
|
m (FieldParser n (AnnotatedField 'BigQuery))
|
|
|
|
selectArbitraryField (columnName, graphQLName, columnType) = do
|
|
|
|
field <- columnParser @'BigQuery (ColumnScalar columnType) (G.Nullability True)
|
|
|
|
pure $
|
|
|
|
P.selection_ graphQLName Nothing field
|
|
|
|
$> IR.mkAnnColumnField columnName (ColumnScalar columnType) Nothing Nothing
|
|
|
|
|
|
|
|
computedFieldFunctionArgs ::
|
|
|
|
ComputedFieldFunction 'BigQuery ->
|
2022-05-31 01:07:02 +03:00
|
|
|
m (InputFieldsParser n (FunctionArgsExp 'BigQuery (IR.UnpreparedValue 'BigQuery)))
|
2022-05-25 13:24:41 +03:00
|
|
|
computedFieldFunctionArgs ComputedFieldFunction {..} = do
|
2022-06-23 12:14:24 +03:00
|
|
|
let fieldName = Name._args
|
2022-05-25 13:24:41 +03:00
|
|
|
fieldDesc =
|
|
|
|
G.Description $
|
|
|
|
"input parameters for computed field "
|
|
|
|
<> _cfiName <<> " defined on table " <>> tableName
|
|
|
|
|
|
|
|
objectName <-
|
2022-07-12 17:00:15 +03:00
|
|
|
mkTypename =<< do
|
2022-05-25 13:24:41 +03:00
|
|
|
computedFieldGQLName <- textToName $ computedFieldNameToText _cfiName
|
|
|
|
tableGQLName <- getTableGQLName @'BigQuery tableInfo
|
2022-06-23 12:14:24 +03:00
|
|
|
pure $ computedFieldGQLName <> Name.__ <> tableGQLName <> Name.__args
|
2022-05-25 13:24:41 +03:00
|
|
|
|
|
|
|
let userInputArgs = filter (not . flip Map.member _cffComputedFieldImplicitArgs . BigQuery._faName) (toList _cffInputArgs)
|
|
|
|
|
|
|
|
argumentParsers <- sequenceA <$> forM userInputArgs parseArgument
|
|
|
|
|
|
|
|
let objectParser =
|
|
|
|
P.object objectName Nothing argumentParsers `P.bind` \inputArguments -> do
|
|
|
|
let tableColumnInputs = Map.map BigQuery.AETableColumn $ Map.mapKeys getFuncArgNameTxt _cffComputedFieldImplicitArgs
|
|
|
|
pure $ FunctionArgsExp mempty $ Map.fromList inputArguments <> tableColumnInputs
|
|
|
|
|
|
|
|
pure $ P.field fieldName (Just fieldDesc) objectParser
|
|
|
|
|
2022-05-31 01:07:02 +03:00
|
|
|
parseArgument :: BigQuery.FunctionArgument -> m (InputFieldsParser n (Text, BigQuery.ArgumentExp (IR.UnpreparedValue 'BigQuery)))
|
2022-05-25 13:24:41 +03:00
|
|
|
parseArgument arg = do
|
|
|
|
typedParser <- columnParser (ColumnScalar $ BigQuery._faType arg) (G.Nullability False)
|
|
|
|
let argumentName = getFuncArgNameTxt $ BigQuery._faName arg
|
|
|
|
fieldName <- textToName argumentName
|
|
|
|
let argParser = P.field fieldName Nothing typedParser
|
2022-05-31 01:07:02 +03:00
|
|
|
pure $ argParser `P.bindFields` \inputValue -> pure ((argumentName, BigQuery.AEInput $ IR.mkParameter inputValue))
|