## Description
This change adds support for querying into nested arrays in Data Connector agents that support such a concept (currently MongoDB).
### DC API changes
- New API type `ColumnType` which allows representing the type of a "column" as either a scalar type, an object reference or an array of `ColumnType`s. This recursive definition allows arbitrary nesting of arrays of types.
- The `type` fields in the API types `ColumnInfo` and `ColumnInsertSchema` now take a `ColumnType` instead of a `ScalarType`.
- To ensure backwards compatibility, a `ColumnType` representing a scalar serialises and deserialises to the same representation as `ScalarType`.
- In queries, the `Field` type now has a new constructor `NestedArrayField`. This contains a nested `Field` along with optional `limit`, `offset`, `where` and `order_by` arguments. (These optional arguments are not yet used by either HGE or the MongoDB agent.)
### MongoDB Haskell agent changes
- The `/schema` endpoint will now recognise arrays within the JSON validation schema and generate corresponding arrays in the DC schema.
- The `/query` endpoint will now handle `NestedArrayField`s within queries (although it does not yet handle `limit`, `offset`, `where` and `order_by`).
### HGE server changes
- The `Backend` type class adds a new type family `XNestedArrays b` to enable nested arrays on a per-backend basis (currently enabled only for the `DataConnector` backend.
- Within `RawColumnInfo` the column type is now represented by a new type `RawColumnType b` which mirrors the shape of the DC API `ColumnType`, but uses `XNestedObjects b` and `XNestedArrays b` type families to allow turning nested object and array supports on or off for a particular backend. In the `DataConnector` backend `API.CustomType` is converted into `RawColumnInfo 'DataConnector` while building the schema.
- In the next stage of schema building, the `RawColumnInfo` is converted into a `StructuredColumnInfo` which allows us to represent the three different types of columns: scalar, object and array. TODO: the `StructuredColumnInfo` looks very similar to the Logical Model types. The main difference is that it uses the `XNestedObjects` and `XNestedArrays` type families. We should be able to combine these two representations.
- The `StructuredColumnInfo` is then placed into a `FIColumn` `FieldInfo`. This involved some refactoring of `FieldInfo` as I had previously split out `FINestedObject` into a separate constructor. However it works out better to represent all "column" fields (i.e. scalar, object and array) using `FIColumn` as this make it easier to implement permission checking correctly. This is the reason the `StructuredColumnInfo` was needed.
- Next, the `FieldInfo` are used to generate `FieldParser`s. We add a new constructor to `AnnFieldG` for `AFNestedArray`. An `AFNestedArray` field parser can contain either a simple array selection or an array aggregate. Simple array `FieldParsers` are currently limited to subfield selection. We will add support for limit, offset, where and order_by in a future PR. We also don't yet generate array aggregate `FieldParsers.
- The new `AFNestedArray` field is handled by the `QueryPlan` module in the `DataConnector` backend. There we generate an `API.NestedArrayField` from the AFNestedArray. We also handle nested arrays when reshaping the response from the DC agent.
## Limitations
- Support for limit, offset, filter (where) and order_by is not yet fully implemented, although it should not be hard to add this
- Support for aggregations on nested arrays is not yet fully implemented
- Permissions involving nested arrays (and objects) not yet implemented
- This should be integrated with Logical Model types, but that will happen in a separate PR
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/9149
GitOrigin-RevId: 0e7b71a994fc1d2ca1ef73bfe7b96e95b5328531
## Description
This change adds support for nested object fields in HGE IR and Schema Cache, the Data Connectors backend and API, and the MongoDB agent.
### Data Connector API changes
- The `/schema` endpoint response now includes an optional set of GraphQL type definitions. Table column types can refer to these definitions by name.
- Queries can now include a new field type `object` which contains a column name and a nested query. This allows querying into a nested object within a field.
### MongoDB agent changes
- Add support for querying into nested documents using the new `object` field type.
### HGE changes
- The `Backend` type class has a new type family `XNestedObjects b` which controls whether or not a backend supports querying into nested objects. This is currently enabled only for the `DataConnector` backend.
- For backends that support nested objects, the `FieldInfo` type gets a new constructor `FINestedObject`, and the `AnnFieldG` type gets a new constructor `AFNestedObject`.
- If the DC `/schema` endpoint returns any custom GraphQL type definitions they are stored in the `TableInfo` for each table in the source.
- During schema cache building, the function `addNonColumnFields` will check whether any column types match custom GraphQL object types stored in the `TableInfo`. If so, they are converted into `FINestedObject` instead of `FIColumn` in the `FieldInfoMap`.
- When building the `FieldParser`s from `FieldInfo` (function `fieldSelection`) any `FINestedObject` fields are converted into nested object parsers returning `AFNestedObject`.
- The `DataConnector` query planner converts `AFNestedObject` fields into `object` field types in the query sent to the agent.
## Limitations
### HGE not yet implemented:
- Support for nested arrays
- Support for nested objects/arrays in mutations
- Support for nested objects/arrays in order-by
- Support for filters (`where`) in nested objects/arrays
- Support for adding custom GraphQL types via track table metadata API
- Support for interface and union types
- Tests for nested objects
### Mongo agent not yet implemented:
- Generate nested object types from validation schema
- Support for aggregates
- Support for order-by
- Configure agent port
- Build agent in CI
- Agent tests for nested objects and MongoDB agent
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/7844
GitOrigin-RevId: aec9ec1e4216293286a68f9b1af6f3f5317db423
## Description
Adds a content-length response header to all endpoints. This PR tests this feature by checking the content-length of every request we send in the tests.
## Changelog ✍️
__Component__ : server
__Type__: enhancement
__Product__: community-edition
### Short Changelog
add a content-length response header to all endpoints
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/7444
Co-authored-by: Manas Agarwal <5352361+manasag@users.noreply.github.com>
GitOrigin-RevId: a0a811852053c5dde4b11b71ba11a7d456c84d76
## Description
There is a bug in the metadata defaults code, see [the original PR](https://github.com/hasura/graphql-engine-mono/pull/6286).
Steps to reproduce this issue:
* Start a new HGE project
* Start HGE with a defaults argument: `HASURA_GRAPHQL_LOG_LEVEL=debug cabal run exe:graphql-engine -- serve --enable-console --console-assets-dir=./console/static/dist --metadata-defaults='{"backend_configs": {"dataconnector": {"mongo": {"display_name": "BONGOBB", "uri": "http://localhost:8123"}}}}'`
* Add a source (doesn't need to be related to the defaults)
* Export metadata
* See that the defaults are present in the exported metadata
## Related Issues
* Github Issue: https://github.com/hasura/graphql-engine/issues/9237
* Jira: https://hasurahq.atlassian.net/browse/GDC-647
* Original PR: https://github.com/hasura/graphql-engine-mono/pull/6286
## Solution
* The test for if defaults should be included for metadata api operations has been extended to check for updates
* Metadata inconsistencies have been hidden for `/capabilities` calls on startup
## TODO
* [x] Fix bug
* [x] Write tests
* [x] OSS Metadata Migration to correct persisted data - `server/src-rsr/migrations/47_to_48.sql`
* [x] Cloud Metadata Migration - `pro/server/res/cloud/migrations/6_to_7.sql`
* [x] Bump Catalog Version - `server/src-rsr/catalog_version.txt`
* [x] Update Catalog Versions - `server/src-rsr/catalog_versions.txt` (This will be done by Infra when creating a release)
* [x] Log connection error as it occurs *(Already being logged. Requires `--enabled-log-types startup,webhook-log,websocket-log,http-log,data-connector-log`)
* [x] Don't mark metadata inconsistencies for this call.
## Questions
* [ ] Does the `pro/server/res/cloud/migrations/6_to_7.sql` cover the cloud scenarios?
* [ ] Should we have `SET search_path` in migrations?
* [x] What should be in `server/src-rsr/catalog_versions.txt`?
## Testing
To test the solution locally run:
> docker compose up -d
and
> cabal run -- exe:api-tests --skip BigQuery --skip SQLServer --skip '/Test.API.Explain/Postgres/'
## Solution
In `runMetadataQuery` in `server/src-lib/Hasura/Server/API/Metadata.hs`:
```diff
- if (exportsMetadata _rqlMetadata)
+ if (exportsMetadata _rqlMetadata || queryModifiesMetadata _rqlMetadata)
```
This ensures that defaults aren't present in operations that serialise metadata.
Note: You might think that `X_add_source` would need the defaults to be present to add a source that references the defaults, but since the resolution occurs in the schema-cache building phase, the defaults can be excluded for the metadata modifications required for `X_add_source`.
In addition to the code-change, a metadata migration has been introduced in order to clean up serialised defaults.
The following scenarios need to be considered for both OSS and Cloud:
* The user has not had defaults serialised
* The user has had the defaults serialised and no other backends configured
* The user has had the defaults serialised and has also configured other backends
We want to remove as much of the metadata as possible without any user-specified data and this should be reflected in migration `server/src-rsr/migrations/47_to_48.sql`.
## Server checklist
### Catalog upgrade
Does this PR change Hasura Catalog version?
- ✅ Yes
### Metadata
Does this PR add a new Metadata feature?
- ✅ No
### GraphQL
- ✅ No new GraphQL schema is generated
### Breaking changes
- ✅ No Breaking changes
## Changelog
__Component__ : server
__Type__: bugfix
__Product__: community-edition
### Short Changelog
Fixes a metadata defaults serialization bug and introduces a metadata migration to correct data that has been persisted due to the bug.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/7034
GitOrigin-RevId: ad7d4f748397a1a607f2c0c886bf0fbbc3f873f2
>
## Description
->
This PR allows DC agents to define custom aggregate functions for their scalar types.
### Related Issues
->
GDC-189
### Solution and Design
>
We added a new property `aggregate_functions` to the scalar types capabilities. This allows the agent author to specify a set of aggregate functions supported by each scalar type, along with the function's result type.
During GraphQL schema generation, the custom aggregate functions are available via a new method `getCustomAggregateOperators` on the `Backend` type class.
Custom functions are merged with the builtin aggregate functions when building GraphQL schemas for table aggregate fields and for `order_by` operators on array relations.
### Steps to test and verify
>
• Codec tests for aggregate function capabilities have been added to the unit tests.
• Some custom aggregate operators have been added to the reference agent and are used in a new test in `api-tests`.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/6199
GitOrigin-RevId: e9c0d1617af93847c1493671fdbb794f573bde0c
As I have been onboarding, in order to get a working sqlite agent/db running locally, I got some helpful steps from @mattshardman which I adapted into this testing setup.
Hopefully this should ease the pain for the next person needing to do this!
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/6261
GitOrigin-RevId: 03a3f04e38f118898bfd1d27de9305739dee5276
