### Description
This PR removes all `fmapX` and `traverseX` functions from RQL.IR, favouring instead `Functor` and `Traversable` instances throughout the code. This was a relatively straightforward change, except for two small pain points: `AnnSelectG` and `AnnInsert`. Both were parametric over two types `a` and `v`, making it impossible to make them traversable functors... But it turns out that in every single use case, `a ~ f v`. By changing those types to take such an `f :: Type -> Type` as an argument instead of `a :: Type` makes it possible to make them functors.
The only small difference is for `AnnIns`, I had to introduce one `Identity` transformation for one of the `f` parameters. This is relatively straightforward.
### Notes
This PR fixes the most verbose BigQuery hint (`let` instead of `<- pure`).
https://github.com/hasura/graphql-engine-mono/pull/1668
GitOrigin-RevId: e632263a8c559aa04aeae10dcaec915b4a81ad1a
### Description
This PR adds the required IR for DB to DB joins, based on @paf31 and @0x777 's `feature/db-to-db` branch.
To do so, it also refactors the IR to introduce a new type parameter, `r`, which is used to recursively constructs the `v` parameter of remote QueryDBs. When collecting remote joins, we replace `r` with `Const Void`, indicating at the type level that there cannot be any leftover remote join.
Furthermore, this PR refactors IR.Select for readability, moves some code from IR.Root to IR.Select to avoid having to deal with circular dependencies, and makes it compile by adding `error` in all new cases in the execution pipeline.
The diff doesn't make it clear, but most of Select.hs is actually unchanged. Declarations have just been reordered by topic, in the following order:
- type declarations
- instance declarations
- type aliases
- constructor functions
- traverse functions
https://github.com/hasura/graphql-engine-mono/pull/1580
Co-authored-by: Phil Freeman <630306+paf31@users.noreply.github.com>
GitOrigin-RevId: bbdcb4119cec8bb3fc32f1294f91b8dea0728721
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
This reverts the remote schema type customisation and namespacing feature temporarily as we test for certain conditions.
GitOrigin-RevId: f8ee97233da4597f703970c3998664c03582d8e7
Multi source support had limited the availability of async action queries in subscriptions. This PR
adds support for async action query subscriptions with new implementation. Also addresses https://github.com/hasura/graphql-engine/issues/6460.
GitOrigin-RevId: 5ddc321073d224f287dc4b86ce2239ff55190b36
Fixes https://github.com/hasura/graphql-engine-mono/issues/712
Main point of interest: the `Hasura.SQL.Backend` module.
This PR creates an `Exists` type indexed by indexed type and packed constraint while hiding all of its complexity by not exporting the constructor.
Existential constructors/types which are no longer (directly) existential:
- [X] BackendSourceInfo :: BackendSourceInfo
- [x] BackendSourceMetadata :: BackendSourceMetadata
- [x] MOSourceObjId :: MetadatObjId
- [x] SOSourceObj :: SchemaObjId
- [x] RFDB :: RootField
- [x] LQP :: LiveQueryPlan
- [x] ExecutionStep :: ExecStepDB
This PR also removes ALL usages of `Typeable.cast` from our codebase. We still need to derive `Typeable` in a few places in order to be able to derive `Data` in one place. I have not dug deeper to see why this is needed.
GitOrigin-RevId: bb47e957192e4bb0af4c4116aee7bb92f7983445
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
* server: use a leaky bucket algorithm for bytes-per-second cache rate limiting
* Use evalsha properly
* Adds redis cache limit parameters to PoliciesConfig
* Loads Leaky Bucket Script On Server Start
* Adds more redis logging and moves cache update into lua script
* reverts setex in lua and adds notes
* Refactors cacheStore and adds max TTL and cache size limits
* Filter session vars in cache key
* WIP
* parens
* cache-clear-hander POC implementation
* cache-clear-hander POC implementation
* Pro projectId used as cache key
* POC working!
* prefixing query-response keys in redis
* Add cacheClearer to RedisScripts
* Partial implementation of cacheClearer from scripts record
* updating tests
* [automated] stylish-haskell commit
* Adds query look with up with metrics script
* Adds missing module and lua script from last commit
* Changes redis script module structure to match cache clearing branch
* minor change to lua script
* cleaning up cache clearing
* generalising JsonLog
* [automated] stylish-haskell commit
* Draft Cache Metrics Endpoint
* Adds Cache Metrics Handler
* Adds hook handler module
* Missed HandlerHook module in last commit
* glob
* Fixes redis mget bug
* Removes cache totals and changes dashes to colons in metric cache keys
* Adds query param to clear clear endpoint for deleting specific keys
* Adds query param to clear clear endpoint for deleting specific keys
* Cache Metrics on query families rather then queries
* Replace Set with nub
* Base16 Redis Hashes
* Query Family Redis Keys With Roles
* response headers for cache keys
* fixing bug in family key by excluding operation name; using hash for response header instead of entire key
* Adds query family to redis cache keys and cache clear endpoint
* Fixes queryfamily hash bug
* Moves cache endpoints to /pro
* Moved cache clear to POST
* Refactors cache clear function
* Fixes query family format bug
* Adds query cache tests and optional --redis-url flag to python test suite
* Adds session variable cache test
* Update pro changelog
* adding documentation for additional caching features
* more docs
* clearing up units of leaky bucket params
* Adds comments to leaky bucket script
* removes old todo
* Fixes session variable filtering to work with new query rootfield
* more advanced defaulting behaviour for bucket rate and capacity.
* Updates Docs
* Moves Role into QueryFamily hash
* Use Aeson for Cache Clear endpoint response
* Moves trace to bracket the leaky bucket script
* Misc review tweaks
* Adds sum type for cache clear query params
* Hardcodes RegisReplyLog log level
* Update docs/graphql/cloud/response-caching.rst
Co-authored-by: Phil Freeman <phil@hasura.io>
* new prose for rate limiting docs
* [automated] stylish-haskell commit
* make rootToSessVarPreds total
* [automated] stylish-haskell commit
* Fixes out of scope error
* Renamed _acRedis to _acCacheStore
Co-authored-by: Solomon Bothwell <ssbothwell@gmail.com>
Co-authored-by: Lyndon Maydwell <lyndon@sordina.net>
Co-authored-by: David Overton <david@hasura.io>
Co-authored-by: Stylish Haskell Bot <stylish-haskell@users.noreply.github.com>
Co-authored-by: Lyndon Maydwell <lyndon@hasura.io>
GitOrigin-RevId: dda5c1a3f902967b3d78310f950541a55fabb1b0
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
This is an incremental PR towards https://github.com/hasura/graphql-engine/pull/5797
Co-authored-by: Anon Ray <ecthiender@users.noreply.github.com>
GitOrigin-RevId: a6cb8c239b2ff840a0095e78845f682af0e588a9
An incremental PR towards https://github.com/hasura/graphql-engine/pull/5797
- Expands `MonadMetadataStorage` with operations related to async actions and setting/updating metadata
GitOrigin-RevId: 53386b7b2d007e162050b826d0708897f0b4c8f6
