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
<!-- Thank you for ss in the Title above ^ -->
## Description
<!-- Please fill thier. -->
<!-- Describe the changes from a user's perspective -->
We don't have dependency reporting mechanism for `mssql_run_sql` API i.e when a database object (table, column etc.) is dropped through the API we should raise an exception if any dependencies (relationships, permissions etc.) with the database object exists in the metadata.
This PR addresses the above mentioned problem by
-> Integrating transaction to the API to rollback the SQL query execution if dependencies exists and exception is thrown
-> Accepting `cascade` optional field in the API payload to drop the dependencies, if any
-> Accepting `check_metadata_consistency` optional field to bypass (if value set to `false`) the dependency check
### Related Issues
<!-- Please make surt title -->
<!-- Add the issue number below (e.g. #234) -->
Close#1853
### Solution and Design
<!-- How is this iss -->
<!-- It's better if we elaborate -->
The design/solution follows the `run_sql` API implementation for Postgres backend.
### Steps to test and verify
<!-- If this is a fehis is a bug-fix, how do we verify the fix? -->
- Create author - article tables and track them
- Defined object and array relationships
- Try to drop the article table without cascade or cascade set to `false`
- The server should raise the relationship dependency exists exception
## Changelog
- ✅ `CHANGELOG.md` is updated with user-facing content relevant to this PR.
If no changelog is required, then add the `no-changelog-required` label.
## Affected components
<!-- Remove non-affected components from the list -->
- ✅ Server
- ❎ Console
- ❎ CLI
- ❎ Docs
- ❎ Community Content
- ❎ Build System
- ✅ Tests
- ❎ Other (list it)
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/2636
GitOrigin-RevId: 0ab152295394056c4ca6f02923142a1658ad25dc
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
When adding object relationships, we set the nullability of the generated GraphQL field based on whether the database backend enforces that the referenced data always exists. For manual relationships (corresponding to `manual_configuration`), the database backend is unaware of any relationship between data, and hence such fields are always set to be nullable.
For relationships generated from foreign key constraints (corresponding to `foreign_key_constraint_on`), we distinguish between two cases:
1. The "forward" object relationship from a referencing table (i.e. which has the foreign key constraint) to a referenced table. This should be set to be non-nullable when all referencing columns are non-nullable. But in fact, it used to set it to be non-nullable if *any* referencing column is non-nullable, which is only correct in Postgres when `MATCH FULL` is set (a flag we don't consider). This fixes that by changing a boolean conjunction to a disjunction.
2. The "reverse" object relationship from a referenced table to a referencing table which has the foreign key constraint. This should always be set to be nullable. But in fact, it used to always be set to non-nullable, as was reported in hasura/graphql-engine#7201. This fixes that.
Moreover, we have moved the computation of the nullability from `Hasura.RQL.DDL.Relationship` to `Hasura.GraphQL.Schema.Select`: this nullability used to be passed through the `riIsNullable` field of `RelInfo`, but for array relationships this information is not actually used, and moreover the remaining fields of `RelInfo` are already enough to deduce the nullability.
This also adds regression tests for both (1) and (2) above.
https://github.com/hasura/graphql-engine-mono/pull/2159
GitOrigin-RevId: 617f12765614f49746d18d3368f41dfae2f3e6ca
This removes the module re-exports of [Data.Align](https://hackage.haskell.org/package/semialign-1.2/docs/Data-Align.html) and [Data.These](https://hackage.haskell.org/package/these-1.1.1.1/docs/Data-These.html) from `Hasura.Prelude`. The reasoning being that they're not used widely and reasonably obscure, and that being explicit about the imports makes for an easier to understand codebase.
(I spent longer than I'd have liked earlier today figuring out where `align` in multitenant came from.
The right one not showing up on the first hoogle page doesn't help. Yes, better tool use could have
avoided that, but still...)
Do feel free to shoot this down, I won't insist on the change.
https://github.com/hasura/graphql-engine-mono/pull/2194
GitOrigin-RevId: 10f887b74538b17623bee6d6451c5aba11573fbd
### Description
This PR is the first of several PRs meant to introduce Generalized Joins. In this first PR, we add non-breaking changes to the Metadata types for DB-to-DB remote joins. Note that we are currently rejecting the new remote join format in order to keep folks from breaking their metadata (in case of a downgrade). These issues will be tackled (and JSON changes reverted) in subsequent PRs.
This PR also changes the way we construct the schema cache, and breaks the way we process sources in two steps: we first resolve each source and construct a cache of their tables' raw info, then in a second step we build the source output. This is so that we have access to the target source's tables when building db-to-db relationships.
### Notes
- this PR contains a few minor cleanups of the schema
- it also fixes a bug in how we do renames in remote schema relationships
- it introduces cross-source schema dependencies
https://github.com/hasura/graphql-engine-mono/pull/1727
Co-authored-by: Evie Ciobanu <1017953+eviefp@users.noreply.github.com>
GitOrigin-RevId: f625473077bc5fff5d941b70e9a116192bc1eb22
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
* add `use_prepared_statements` option to add_pg_source API
* update CHANGELOG.md
* change default value for 'use_prepared_statements' to False
* update CHANGELOG.md
GitOrigin-RevId: 6f5b90991f4a8c03a51e5829d2650771bb0e29c1
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
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 PR generalizes a bunch of metadata structures.
Most importantly, it changes `SourceCache` to hold existentially quantified values:
```
data BackendSourceInfo =
forall b. Backend b => BackendSourceInfo (SourceInfo b)
type SourceCache = HashMap SourceName BackendSourceInfo
```
This changes a *lot* of things throughout the code. For now, all code using the schema cache explicitly casts sources to Postgres, meaning that if any non-Postgres `SourceInfo` makes it to the cache, it'll be ignored.
That means that after this PR is submitted, we can split work between two different aspects:
- creating `SourceInfo` for other backends
- handling those other sources down the line
GitOrigin-RevId: fb9ea00f32e840fc33c5467896fb1dfa5283ab42
This PR is a combination of the following other PRs:
- #169: move HasHttpManager out of RQL.Types
- #170: move UserInfoM to Hasura.Session
- #179: delete dead code from RQL.Types
- #180: move event related code to EventTrigger
GitOrigin-RevId: d97608d7945f2c7a0a37e307369983653eb62eb1
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
Generalize TableCoreInfoRM, TableCoreCacheRT, some table metadata data types, generalize fromPGCol to fromCol, generalize some schema cache functions, prepare some enum schema cache code for generalization
GitOrigin-RevId: a65112bc1688e00fd707d27af087cb2585961da2
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
This PR makes a bunch of schema generation code in Hasura.GraphQL.Schema backend-agnostic, by moving the backend-specific parts into a new BackendSchema type class. This way, the schema generation code can be reused for other backends, simply by implementing new instances of the BackendSchema type class.
This work is now in a state where the schema generators are sufficiently generic to accept the implementation of a new backend. That means that we can start exposing MS SQL schema. Execution is not implemented yet, of course.
The branch currently does not support computed fields or Relay. This is, in a sense, intentional: computed field support is normally baked into the schema generation (through the fieldSelection schema generator), and so this branch shows a programming technique that allows us to expose certain GraphQL schema depending on backend support. We can write support for computed fields and Relay at a later stage.
Co-authored-by: Antoine Leblanc <antoine@hasura.io>
GitOrigin-RevId: df369fc3d189cbda1b931d31678e9450a6601314
