### Description
This PR improves error messages in our metadata API by displaying a message with the name of the failing command and a link to our documentation. Furthermore, it harmonizes our internal uses of `withObject`, to respect the convention of using the Haskell type name, now that the Aeson error message is displayed as an "internal error message".
https://github.com/hasura/graphql-engine-mono/pull/1905
GitOrigin-RevId: e4064ba3290306437aa7e45faa316c60e51bc6b6
## Description
Thanks to #1664, the Metadata API types no longer require a `ToJSON` instance. This PR follows up with a cleanup of the types of the arguments to the metadata API:
- whenever possible, it moves those argument types to where they're used (RQL.DDL.*)
- it removes all unrequired instances (mostly `ToJSON`)
This PR does not attempt to do it for _all_ such argument types. For some of the metadata operations, the type used to describe the argument to the API and used to represent the value in the metadata are one and the same (like for `CreateEndpoint`). Sometimes, the two types are intertwined in complex ways (`RemoteRelationship` and `RemoteRelationshipDef`). In the spirit of only doing uncontroversial cleaning work, this PR only moves types that are not used outside of RQL.DDL.
Furthermore, this is a small step towards separating the different types all jumbled together in RQL.Types.
## Notes
This PR also improves several `FromJSON` instances to make use of `withObject`, and to use a human readable string instead of a type name in error messages whenever possible. For instance:
- before: `expected Object for Object, but encountered X`
after: `expected Object for add computed field, but encountered X`
- before: `Expecting an object for update query`
after: `expected Object for update query, but encountered X`
This PR also renames `CreateFunctionPermission` to `FunctionPermissionArgument`, to remove the quite surprising `type DropFunctionPermission = CreateFunctionPermission`.
This PR also deletes some dead code, mostly in RQL.DML.
This PR also moves a PG-specific source resolving function from DDL.Schema.Source to the only place where it is used: App.hs.
https://github.com/hasura/graphql-engine-mono/pull/1844
GitOrigin-RevId: a594521194bb7fe6a111b02a9e099896f9fed59c
### Description
RunSQL commands are analyzed to detect whether they require a schema cache rebuild; in the case of Citus we were always returning `False`. This PR fixes this, and also removes the catch-all case, to make it explicit / obvious whenever we change this.
https://github.com/hasura/graphql-engine-mono/pull/1549
GitOrigin-RevId: dddaaea868e7b7999bdfe11451032df9d9b44274
Remote relationships are now supported on SQL Server and BigQuery. The major change though is the re-architecture of remote join execution logic. Prior to this PR, each backend is responsible for processing the remote relationships that are part of their AST.
This is not ideal as there is nothing specific about a remote join's execution that ties it to a backend. The only backend specific part is whether or not the specification of the remote relationship is valid (i.e, we'll need to validate whether the scalars are compatible).
The approach now changes to this:
1. Before delegating the AST to the backend, we traverse the AST, collect all the remote joins while modifying the AST to add necessary join fields where needed.
1. Once the remote joins are collected from the AST, the database call is made to fetch the response. The necessary data for the remote join(s) is collected from the database's response and one or more remote schema calls are constructed as necessary.
1. The remote schema calls are then executed and the data from the database and from the remote schemas is joined to produce the final response.
### Known issues
1. Ideally the traversal of the IR to collect remote joins should return an AST which does not include remote join fields. This operation can be type safe but isn't taken up as part of the PR.
1. There is a lot of code duplication between `Transport/HTTP.hs` and `Transport/Websocket.hs` which needs to be fixed ASAP. This too hasn't been taken up by this PR.
1. The type which represents the execution plan is only modified to handle our current remote joins and as such it will have to be changed to accommodate general remote joins.
1. Use of lenses would have reduced the boilerplate code to collect remote joins from the base AST.
1. The current remote join logic assumes that the join columns of a remote relationship appear with their names in the database response. This however is incorrect as they could be aliased. This can be taken up by anyone, I've left a comment in the code.
### Notes to the reviewers
I think it is best reviewed commit by commit.
1. The first one is very straight forward.
1. The second one refactors the remote join execution logic but other than moving things around, it doesn't change the user facing functionality. This moves Postgres specific parts to `Backends/Postgres` module from `Execute`. Some IR related code to `Hasura.RQL.IR` module. Simplifies various type class function signatures as a backend doesn't have to handle remote joins anymore
1. The third one fixes partial case matches that for some weird reason weren't shown as warnings before this refactor
1. The fourth one generalizes the validation logic of remote relationships and implements `scalarTypeGraphQLName` function on SQL Server and BigQuery which is used by the validation logic. This enables remote relationships on BigQuery and SQL Server.
https://github.com/hasura/graphql-engine-mono/pull/1497
GitOrigin-RevId: 77dd8eed326602b16e9a8496f52f46d22b795598
Modifying schema-sync implementation to use polling for OSS/Pro. Invalidations are now propagated via the `hdb_catalog.hdb_schema_notifications` table in OSS/Pro. Pattern followed is now a Listener/Processor split with Cloud listening for changes via a LISTEN/NOTIFY channel and OSS polling for resource version changes in the metadata table. See issue #460 for more details.
GitOrigin-RevId: 48434426df02e006f4ec328c0d5cd5b30183db25
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
Add optimistic concurrency control to the ‘replace_metadata’ call.
Prevents users from submitting out-of-date metadata to metadata-mutating APIs.
See https://github.com/hasura/graphql-engine-mono/issues/472 for details.
GitOrigin-RevId: 5f220f347a3eba288a9098b01e9913ffd7e38166
The metadata storage implementation for graphql-engine-multitenant.
- It uses a centralized PG database to store metadata of all tenants (instead of per tenant database)
- Similarly, it uses a single schema-sync listener thread per MT worker (instead of listener thread per tenant) (PS: although, the processor thread is spawned per tenant)
- 2 new flags are introduced - `--metadataDatabaseUrl` and (optional) `--metadataDatabaseRetries`
Internally, a "metadata mode" is introduced to indicate an external/managed store vs a store managed by each pro-server.
To run :
- obtain the schema file (located at `pro/server/res/cloud/metadata_db_schema.sql`)
- apply the schema on a PG database
- set the `--metadataDatabaseUrl` flag to point to the above database
- run the MT executable
The schema (and its migrations) for the metadata db is managed outside the MT worker.
### New metadata
The following is the new portion of `Metadata` added :
```yaml
version: 3
metrics_config:
analyze_query_variables: true
analyze_response_body: false
api_limits:
disabled: false
depth_limit:
global: 5
per_role:
user: 7
editor: 9
rate_limit:
per_role:
user:
unique_params:
- x-hasura-user-id
- x-hasura-team-id
max_reqs_per_min: 20
global:
unique_params: IP
max_reqs_per_min: 10
```
- In Pro, the code around fetching/updating/syncing pro-config is removed
- That also means, `hdb_pro_catalog` for keeping the config cache is not required. Hence the `hdb_pro_catalog` is also removed
- The required config comes from metadata / schema cache
### New Metadata APIs
- `set_api_limits`
- `remove_api_limits`
- `set_metrics_config`
- `remove_metrics_config`
#### `set_api_limits`
```yaml
type: set_api_limits
args:
disabled: false
depth_limit:
global: 5
per_role:
user: 7
editor: 9
rate_limit:
per_role:
anonymous:
max_reqs_per_min: 10
unique_params: "ip"
editor:
max_reqs_per_min: 30
unique_params:
- x-hasura-user-id
user:
unique_params:
- x-hasura-user-id
- x-hasura-team-id
max_reqs_per_min: 20
global:
unique_params: IP
max_reqs_per_min: 10
```
#### `remove_api_limits`
```yaml
type: remove_api_limits
args: {}
```
#### `set_metrics_config`
```yaml
type: set_metrics_config
args:
analyze_query_variables: true
analyze_response_body: false
```
#### `remove_metrics_config`
```yaml
type: remove_metrics_config
args: {}
```
#### TODO
- [x] on-prem pro implementation for `MonadMetadataStorage`
- [x] move the project config from Lux to pro metadata (PR: #379)
- [ ] console changes for pro config/api limits, subscription workers (cc @soorajshankar @beerose)
- [x] address other minor TODOs
- [x] TxIso for `MonadSourceResolver`
- [x] enable EKG connection pool metrics
- [x] add logging of connection info when sources are added?
- [x] confirm if the `buildReason` for schema cache is correct
- [ ] testing
- [x] 1.3 -> 1.4 cloud migration script (#465; PR: #508)
- [x] one-time migration of existing metadata from users' db to centralized PG
- [x] one-time migration of pro project config + api limits + regression tests from metrics API to metadata
- [ ] integrate with infra team (WIP - cc @hgiasac)
- [x] benchmark with 1000+ tenants + each tenant making read/update metadata query every second (PR: https://github.com/hasura/graphql-engine-mono/pull/411)
- [ ] benchmark with few tenants having large metadata (100+ tables etc.)
- [ ] when user moves regions (https://github.com/hasura/lux/issues/1717)
- [ ] metadata has to be migrated from one regional PG to another
- [ ] migrate metrics data as well ?
- [ ] operation logs
- [ ] regression test runs
- [ ] find a way to share the schema files with the infra team
Co-authored-by: Naveen Naidu <30195193+Naveenaidu@users.noreply.github.com>
GitOrigin-RevId: 39e8361f2c0e96e0f9e8f8fb45e6cc14857f31f1
