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
>
### Description
>
### Changelog
- [x] `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
- [x] Server
### Related Issues
->
Fixes#1528
### Solution and Design
>
Only replace connection configuration instead of replacing entire metadata with empty one.
GitOrigin-RevId: f9a16dcc7b1219ec1af915bf083622fcb7dde69a
event catalog:
- `hdb_catalog` is no longer automatically created
- catalog is initialised when the first event trigger is created
- catalog initialisation is done during the schema cache build, using `ArrowCache` so it is only run in response to a change to the set of event triggers
event queue:
- `processEventQueue` thread is prevented from starting when `HASURA_GRAPHQL_EVENTS_FETCH_INTERVAL=0`
- `processEventQueue` thread only processes sources for which at least one event trigger exists in some table in the source
Co-authored-by: Anon Ray <616387+ecthiender@users.noreply.github.com>
GitOrigin-RevId: 73f256465d62490cd2b59dcd074718679993d4fe
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
* 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
While debugging issues with HLS, Reed Mullanix noticed that we don't use relative paths. This leads to problems when using HLS + Emacs due to a bug in `lsp-mode` which prevents it from finding the correct project root.
However, it is still a good practice to use relative paths in TH for other reasons, including being able to import these modules in GHCI.
This PR should make it so HLS-1.0 & emacs provide type inference, imports, etc., in all modules in our codebase.
GitOrigin-RevId: 5f53b9a7ccf46df1ea7be94ff0a5c6ec861f4ead
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
Previously invalid REST endpoints would throw errors during schema cache build.
This PR changes the validation to instead add to the inconsistent metadata objects in order to allow use of `allow_inconsistent_metadata` with inconsistent REST endpoints.
All non-fatal endpoint definition errors are returned as inconsistent metadata warnings/errors depending on the use of `allow_inconsistent_metadata`. The endpoints with issues are then created and return informational runtime errors when they are called.
Console impact when creating endpoints is that error messages now refer to metadata inconsistencies rather than REST feature at the top level:
<img width="969" alt="image" src="https://user-images.githubusercontent.com/92299/110258597-8336fa00-7ff7-11eb-872c-bfca945aa0e8.png">
Note: Conflicting endpoints generate one error per conflicting set of endpoints due to the implementation of `groupInconsistentMetadataById` and `imObjectIds`. This is done to ensure that error messages are terse, but may pose errors if there are some assumptions made surrounding `imObjectIds`.
Related to https://github.com/hasura/graphql-engine-mono/pull/473 (Allow Inconsistent Metadata (v2) #473 (Merged))
---
### Kodiak commit message
Changes the validation to use inconsistent metadata objects for REST endpoint issues.
#### Commit title
Inconsistent metadata for REST endpoints
GitOrigin-RevId: b9de971208e9bb0a319c57df8dace44cb115ff66
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
When adding a rest endpoint that references a query with multiple definitions, throw an error.
Needed a second PR for this as Kodiak merged the prior PR before this commit was added.
---
### Kodiak commit message
Adding check for multiple query definitions for rest endpoints.
GitOrigin-RevId: 6e3977a210e29f143b61282fbb37c93eb5b9d73c
Resolves Issues:
* https://github.com/hasura/graphql-engine-mono/issues/658 - Invalid Slashes
* https://github.com/hasura/graphql-engine-mono/issues/628 - Subscriptions
Implementation:
* Moved some logic from Endpoint.hs to allow reuse of splitting url into PathSegments.
* Additional validation steps alongside checking for overlapping routes
* Logging potential misuse of GET for mutations
Future Work:
* [ ] GET is allowed for mutations (Ignore/Log warning for Now)
* [ ] Add to scInconsistentObjs rather than throwing error
* Add information to scInconsistentObjs instead of raising errors directly.
TODO:
* [x] Duplicate variable segments with the same name in the location should not be allowed
* [x] We should throw an error on trailing and leading slashes and URLs which contain empty segments
* [x] Endpoints can be created using subscriptions. But the error only shows at the time of the query
* [x] Tests
---
### Kodiak commit message
Prohibit Invalid slashes, duplicate variables, subscriptions for REST endpoints.
GitOrigin-RevId: 86c0d4af97984c8afd02699e6071e9c1658710b8
Provides queries for fetching and inserting metadata into that database that do not assume there is a `resource_version` column. This means that will work when migrating to/from older versions.
Co-authored-by: Lyndon Maydwell <92299+sordina@users.noreply.github.com>
GitOrigin-RevId: dac636d530524082c5a13ae0f016a2d4ced16f7f
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
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
Earlier, while creating the event trigger's internal postgres trigger, we used to get the name of the table from the `TG_TABLE_NAME` special trigger variable. Using this with normal tables works fine, but it breaks when the parent table is partitioned because we associate the ET configuration in the schema only with the original table (as it should be).
In this PR, we supply the table name and schema name through template variables instead of using `TG_TABLE_NAME` and `TG_TABLE_SCHEMA`, so that event triggers work with a partitioned table as well.
TODO:
- [x] Changelog
- [x] unit test (ET on partition table)
GitOrigin-RevId: 556376881a85525300dcf64da0611ee9ad387eb0
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
