## Description
This PR removes `RQL.Types`, which was now only re-exporting a bunch of unrelated modules.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/4363
GitOrigin-RevId: 894f29a19bff70b3dad8abc5d9858434d5065417
I discovered and removed instances of Boolean Blindness about whether json numbers should be stringified or not.
Although quite far-reaching, this is a completely mechanical change and should have no observable impact outside the server code.
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/3763
GitOrigin-RevId: c588891afd8a6923a135c736f6581a43a2eddbc7
We'll see if this improves compile times at all, but I think it's worth
doing as at least the most minimal form of module documentation.
This was accomplished by first compiling everything with
-ddump-minimal-imports, and then a bunch of scripting (with help from
ormolu)
**EDIT** it doesn't seem to improve CI compile times but the noise floor is high as it looks like we're not caching library dependencies anymore
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/2730
GitOrigin-RevId: 667eb8de1e0f1af70420cbec90402922b8b84cb4
This commit applies ormolu to the whole Haskell code base by running `make format`.
For in-flight branches, simply merging changes from `main` will result in merge conflicts.
To avoid this, update your branch using the following instructions. Replace `<format-commit>`
by the hash of *this* commit.
$ git checkout my-feature-branch
$ git merge <format-commit>^ # and resolve conflicts normally
$ make format
$ git commit -a -m "reformat with ormolu"
$ git merge -s ours post-ormolu
https://github.com/hasura/graphql-engine-mono/pull/2404
GitOrigin-RevId: 75049f5c12f430c615eafb4c6b8e83e371e01c8e
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
Removing `schemaSyncDisable` flag and interpreting `schemaPollInterval` of `0` as disabling schema sync.
This change brings the convention in line with how action and other intervals are used to disable processes.
There is an opportunity to abstract the notion of an optional interval similar to how actions uses `AsyncActionsFetchInterval`.
This can be used for the following fields of ServeOptions, with RawServeOptions having a milliseconds value where `0` is interpreted as disable.
OptionalInterval:
```
-- | Sleep time interval for activities
data OptionalInterval
= Skip -- ^ No polling
| Interval !Milliseconds -- ^ Interval time
deriving (Show, Eq)
```
ServeOptions:
```
data ServeOptions impl
= ServeOptions
{
...
, soEventsFetchInterval :: !OptionalInterval
, soAsyncActionsFetchInterval :: !OptionalInterval
, soSchemaPollInterval :: !OptionalInterval
...
}
```
Rather than encoding a `Maybe OptionalInterval` in RawServeOptions, instead a `Maybe Milliseconds` can be used to more directly express the input format, with the ServeOptions constructor interpreting `0` as `Skip`.
Current inconsistencies:
* `soEventsFetchInterval` has no value interpreted as disabling the fetches
* `soAsyncActionsFetchInterval` uses an `OptionalInterval` analog in `RawServeOptions` instead of `Milliseconds`
* `soSchemaPollInterval` currently uses `Milliseconds` directly in `ServeOptions`
---
### Kodiak commit message
Information used by [Kodiak bot](https://kodiakhq.com/) while merging this PR.
#### Commit title
Same as the title of this pull request
GitOrigin-RevId: 3cda1656ae39ae95ba142512ed4e123d6ffeb7fe
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
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#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
- [x] **Event Triggers Metrics**
- [x] Distribution of size of event trigger fetches / Number of events fetched in the last `event trigger fetch`
- [x] Event Triggers: Number of event trigger HTTP workers in process
- [x] Event Triggers: Avg event trigger lock time (if an event has been fetched but not processed because http worker is not free)
#### Sample response
The metrics can be viewed from the `/dev/ekg` endpoint
```json
{
"num_events_fetched":{
"max":0,
"mean":0,
"count":1,
"min":0,
"variance":null,
"type":"d",
"sum":0
},
"num_event_trigger_http_workers":{
"type":"g",
"val":0
},
"event_lock_time":{
"max":0,
"mean":0,
"count":0,
"min":0,
"variance":0,
"type":"d",
"sum":0
},
```
#### Todo
- [ ] Group similar metrics together (Eg: Group all the metrics related to Event trigger, How do we do it??)
Closes: https://github.com/hasura/graphql-engine-mono/issues/202
GitOrigin-RevId: bada11d871272b04c8a09d006d9d037a8464a472
