### Description
The spock handler requires the request type to have a `ToJSON` instance AND a `FromJSON` instance. That's because we parse it from the received bytestring into its proper type.... and call `toJSON` on it to log it. This PR simplifies this, by keeping the intermediate `Value` obtained during parsing, and using it for logging. This has two consequences:
1. it removes the `ToJSON` constraint, which will remove some code down the line (esp. in Metadata)
2. it means we log the actual JSON object query we received, not the result of parsing it, meaning the logged object will contain fields that would have been ignored when parsing the actual value; this is both an upside (more accurate log) and a downside (could be more verbose / more confusing)
### Further work
Should this PR also remove all obsolete ToJSON instances while at it?
How do we test this?
https://github.com/hasura/graphql-engine-mono/pull/1664
GitOrigin-RevId: ae099eea9a671eabadcdf507f993a5ad9433be87
### 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
This reverts the remote schema type customisation and namespacing feature temporarily as we test for certain conditions.
GitOrigin-RevId: f8ee97233da4597f703970c3998664c03582d8e7
This essentially restores the original code from c425b554b8
(https://github.com/hasura/graphql-engine/pull/4013). Prior to this
commit we would slurp messages as fast as possible from the database
(one thing c425b55 fixed).
Another thing broken as a consequence of the same logic was the
removeEventFromLockedEvents logic which unlocks in-flight events
(breaking at-least-once delivery)
Some archeology, post-c425b55:
- cc8e2ccc erroneously attempted to refactor using `bracket`, resulting
in the same slurp-all-events behavior (since we don't ever wait for
processEvent to complete)
- at some point event processing within a batch is made serial, this
reported as a bug. See: https://github.com/hasura/graphql-engine/issues/5189
- in 0ef52292b5 (which I approved...) an `async` is added, again
causing the same issue...
GitOrigin-RevId: d8cbaab385267a4c3f1f173e268a385265980fb1
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
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
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
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
* 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
fixes https://github.com/hasura/graphql-engine/issues/6449
A while back we added [support for customizing JWT claims](https://github.com/hasura/graphql-engine/pull/3575) and this enabled to map a session variable to any value within the unregistered claims, but as reported in #6449 , users aren't able to map the `x-hasura-user-id` session variable to the `sub` standard JWT claim.
This PR fixes the above issue by allowing mapping session variables to standard JWT claims as well.
GitOrigin-RevId: d3e63d7580adac55eb212e0a1ecf7c33f5b3ac4b
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
Earlier (pre catalog separation), the remote schema permissions were in `/v1/query`. This PR moves it to `/v1/metadata`.
GitOrigin-RevId: cb39d9df4cc2288f67231504e3a7909f2f8df4da
fixes https://github.com/hasura/graphql-engine/issues/2109
This PR accepts a new config `allowed_skew` in the JWT config to provide for some leeway while comparing the JWT expiry time.
GitOrigin-RevId: ef50cf77d8e2780478685096ed13794b5c4c9de4
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
