[Proposal] Work Item Type Visibility Controls
## 1. Problem Statement
We need to implement fine-grained visibility controls for work item types across namespace hierarchies. Without this implementation type availability is binary—a type is either available everywhere in a hierarchy or nowhere. We want to support three independent visibility actions per namespace and type:
1. **Enable/Disable for THIS namespace only** - Control visibility for the current namespace without affecting children
2. **Enable/Disable for ALL existing children** - Propagate visibility to all descendants (overrides other distinct settings on child namespaces)
3. **Enable/Disable for NEW children only** - Set default visibility for future namespaces created under this namespace
These three actions are independent. For example, you can enable a type for this namespace, disable it for all existing children, but enable it for new children created in the future.
**Key constraints:**
- Must work with infinitely nested namespace hierarchies
- Must handle several thousand namespaces per tenant
- Maximum of 40 types per root namespace
- Resolution happens in bulk (all types at once) at request start via the `WorkItems::TypesFramework::Provider` abstraction layer
- Default state is `enabled` unless explicitly overridden
## 2. Why the Obvious Approaches Don't Work
### Approach A: Pre-materialize Everything
Store a row for every namespace × type combination (potentially thousands × 40 = hundreds of thousands of rows).
**Why this fails:**
- Massive storage bloat - most namespaces inherit defaults and don't need explicit rows
- Index bloat degrades all queries
- Vacuum overhead increases
- Most stored data is redundant (inherited defaults)
### Approach B: Resolve at Runtime with Complex Queries
Store nothing, compute visibility by walking the entire hierarchy on every request.
**Why this fails:**
- Slow reads - we need to resolve visibility for 40 types at request start
- Complex recursive CTEs for every request
- Cannot leverage indexes effectively when traversing arbitrary depths
- Read performance degrades with hierarchy depth
Both extremes optimize one axis at the severe expense of the other. We need a middle ground.
## 3. Our Constraints
We need an architecture that satisfies:
1. **Fast reads** - Ideally a single PostgreSQL query to resolve all 40 types
2. **Acceptable writes** - Mutations can be async for bulk operations, but should be reasonably fast
3. **Minimal storage** - Store only explicit overrides, not inherited defaults
4. **All three actions supported** - Each action (THIS, ALL_CHILDREN, NEW_CHILDREN) must work efficiently
5. **Namespace moves are cheap** - Moving a namespace in the hierarchy shouldn't require rewriting visibility data
6. **Default is enabled** - If no override exists, types are visible
## 4. Global Visibility Toggle
Before implementing fine-grained controls, we need a top-level toggle to enable/disable the entire visibility system.
I propose we'll introduce a `work_item_settings` table:
```ruby
work_item_settings
id
organization_id (bigint, nullable, indexed, FK → organizations)
namespace_id (bigint, nullable, indexed, FK → namespaces)
customizable_type_visibility (boolean, default: false)
created_at
updated_at
# Ensure exactly one container is set
constraint: check ((organization_id IS NOT NULL)::int + (namespace_id IS NOT NULL)::int = 1)
```
**Why dual columns?**
For SaaS deployments, we use the top-level namespace as the container for custom types. For self-managed installations, we use the `Organization` model. Both columns allow us to support both deployment models during the migration period. Long-term, we'll migrate everything to organization-level, at which point we can drop the `namespace_id` column.
Because of this we cannot reuse the existing `namespace_settings` table and similar concepts.
**Future extensibility:**
This table is designed to hold additional work-item-related settings in the future. For example, we're planning to add a `default_work_item_type_id` column to specify which type should be used as the default for various actions (we use `Issue` today, but there'll be a world where `Issue` might not exist). This keeps all work-item configuration in one place.
**Resolution flow:**
1. Check `work_item_settings.customizable_type_visibility` for the container
2. If `false` → return all non-archived types (current behavior)
3. If `true` → apply the visibility resolution logic described below
We should be able to preload `work_item_settings` via a scope on `Organization` and `Namespace` models on the resolver level so we can expose that setting via GraphQL.
We can either take the argument on the `organization` or `namespace` level or use a separate mutation for this.
## 5. GraphQL Interface
### Mutation
We'll [expose a single mutation](https://gitlab.com/groups/gitlab-org/-/epics/19883#note_3071749459):
```graphql
mutation {
workItemAvailabilityToggle(
input: {
namespaceId: "gid://gitlab/Namespace/123"
workItemTypeId: "gid://gitlab/WorkItems::Type/5" # or custom GID
action: ENABLE # or DISABLE
scope: THIS # or ALL_CHILDREN or NEW_CHILDREN
}
) {
errors
}
}
```
**Action values:**
- `ENABLE` - Make the type visible
- `DISABLE` - Make the type hidden
**Scope values:**
- `THIS` - Apply only to the specified namespace
- `ALL_CHILDREN` - Apply to all existing descendant namespaces (destructive, async allowed)
- `NEW_CHILDREN` - Apply to future namespaces created under this namespace
### Query
When fetching work item types, we already expose an `enabled` boolean flag. Currently, this is controlled by:
- Group namespaces: Only epics are enabled
- Project namespaces: All types except epics (custom types limited to project level for now)
We fetch available types in `WorkItems::TypesFramework::Provider`, which:
1. Merges available custom and system-defined types
2. Stores them in `RequestStore` for reuse during the request in a lookup table
We'll add a visibility resolution layer that:
1. Fetches visibility settings for the current namespace (single query for all 40 types)
2. Sets `enabled` flag based on resolved visibility
3. Sets the type objects in `RequestStore`
This integration point is clean — we're adding one additional resolution step before caching.
## 6. Architecture: Sparse Inheritance with Ancestor Resolution (SIWAR)
We'll implement what we're calling **Sparse Inheritance with Ancestor Resolution (SIWAR)**. The core idea: store only explicit visibility decisions (overrides) and resolve inheritance at read time using the `traversal_ids` array in a single query for all available types.
### Database Schema
```ruby
work_item_type_visibilities
id
namespace_id (bigint, indexed, FK → namespaces)
work_item_type_id (bigint, indexed, FK → work_item_types)
enabled (boolean, not null)
propagate (boolean, not null, default: false)
created_at
updated_at
unique_index: [namespace_id, work_item_type_id]
work_item_type_visibility_defaults
id
namespace_id (bigint, indexed, FK → namespaces)
work_item_type_id (bigint, indexed, FK → work_item_types)
enabled (boolean, not null)
created_at
updated_at
unique_index: [namespace_id, work_item_type_id]
```
**Column explanations:**
- `enabled` - Whether the type is visible or hidden
- `propagate` - Whether this override should apply to descendant namespaces (used during resolution)
### How It Works
**Sparse storage:** We only store rows for namespaces that have explicit overrides. If a namespace inherits default behavior, no row exists.
**Ancestor resolution:** When resolving visibility for a namespace, we query all ancestors (via `traversal_ids`) and find the closest ancestor with an override.
**Future rules:** The `work_item_type_visibility_defaults` table stores rules that apply to namespaces _created in the future_ under a given namespace.
### Resolution Query
```sql
-- For namespace with traversal_ids = [1, 5, 12, 45] and work_item_type_ids = [1001, 1002, ...]
SELECT DISTINCT ON (work_item_type_id)
work_item_type_id,
enabled
FROM work_item_type_visibilities
WHERE namespace_id = ANY(ARRAY[1, 5, 12, 45])
AND work_item_type_id = ANY(ARRAY[1001, 1002, ...])
AND (
namespace_id = 45 -- exact match always applies
OR (
propagate = true -- or it propagates from ancestor
AND array_position(ARRAY[1, 5, 12, 45], namespace_id)
< array_position(ARRAY[1, 5, 12, 45], 45)
)
)
ORDER BY work_item_type_id,
array_position(ARRAY[1, 5, 12, 45], namespace_id) DESC -- closest ancestor wins
```
**Why this is fast:**
- Single query for all 40 types
- Uses indexes on `namespace_id` and `work_item_type_id`
- `traversal_ids` is already in memory (part of namespace record)
- Maximum of 40 types × hierarchy depth rows to scan (typically \< 1000 rows)
- `DISTINCT ON` ensures we get exactly one result per type
**Handling missing overrides:**
- If no row exists after resolution → type is enabled (default behavior)
- Application layer handles this
**array_position performance concerns:**
If we want to get rid of the `array_position` function call we could pass the namespace IDs with index. Could be something along the lines of this:
```sql
SELECT DISTINCT ON (work_item_type_id)
work_item_type_id,
enabled
FROM work_item_type_visibilities w
CROSS JOIN LATERAL (
SELECT rank FROM (VALUES
(45, 0), (12, 1), (5, 2), (1, 3) # see reversed order ASC rank
) AS h(ns_id, rank)
WHERE h.ns_id = w.namespace_id
) h
WHERE w.work_item_type_id = ANY(ARRAY[1001, 1002, ...])
AND (
w.namespace_id = 45
OR (w.propagate = true AND h.rank > 0)
)
ORDER BY w.work_item_type_id, h.rank;
```
### Mutation Operations
**THIS namespace only:**
```ruby
WorkItemTypeVisibility.upsert(
namespace_id: namespace.id,
work_item_type_id: type.id,
enabled: true, # for enabled, false for disabled
propagate: false # don't propagate to children
)
```
**ALL existing children:**
```ruby
# 1. Set parent override
WorkItemTypeVisibility.upsert(
namespace_id: namespace.id,
work_item_type_id: type.id,
enabled: true, # for enabled, false for disabled
propagate: true # propagate to children
)
# 2. Remove conflicting descendant overrides (async job allowed)
WorkItemTypeVisibility
.joins(:namespace)
.where(work_item_type_id: type.id)
.where("namespaces.traversal_ids @> ARRAY[?]::bigint[]", namespace.id)
.where.not(namespace_id: namespace.id)
.delete_all
```
The deletion is fast because:
- Index on `namespaces.traversal_ids` makes the `@>` (contains) operator efficient
- We're only deleting rows for a single type
- Even with thousands of descendants, should be fast
**NEW children only:**
```ruby
WorkItemTypeVisibilityDefault.upsert(
namespace_id: namespace.id,
work_item_type_id: type.id,
enabled: action == :enable
)
```
#### Special case: "Disable for THIS, Enable for children"**
A critical requirement is supporting the case where a type is disabled for the current namespace but enabled for its children. For example, disabling "Bug" at the root level but enabling it for all projects.
This is achieved through **two separate mutation calls**:
```graphql
# Call 1: Disable for THIS namespace only
mutation {
workItemAvailabilityToggle(
input: {
namespaceId: "gid://gitlab/Namespace/123"
workItemTypeId: "gid://gitlab/WorkItems::Type/5"
action: DISABLE
scope: THIS
}
)
}
# Call 2: Enable for ALL children
mutation {
workItemAvailabilityToggle(
input: {
namespaceId: "gid://gitlab/Namespace/123"
workItemTypeId: "gid://gitlab/WorkItems::Type/5"
action: ENABLE
scope: ALL_CHILDREN
}
)
}
```
**Backend handling:**
When processing `scope: ALL_CHILDREN`, the mutation checks if there's already a non-propagating override at the parent namespace (ruby pseudo code):
```ruby
when :ALL_CHILDREN
existing_override = WorkItemTypeVisibility.find_by(
namespace_id: namespace_id,
work_item_type_id: work_item_type_id,
propagate: false
)
if existing_override
# Parent has explicit "this only" setting - keep it unchanged
# Create overrides at immediate children instead
namespace.children.find_each do |child|
WorkItemTypeVisibility.upsert(
namespace_id: child.id,
work_item_type_id: work_item_type_id,
enabled: action == :enable,
propagate: true
)
end
else
# Normal case: set parent with propagate: true
WorkItemTypeVisibility.upsert(
namespace_id: namespace_id,
work_item_type_id: work_item_type_id,
enabled: action == :enable,
propagate: true
)
end
# Clean up any conflicting deeper overrides (async allowed)
WorkItemTypeVisibility
.joins(:namespace)
.where(work_item_type_id: work_item_type_id)
.where("namespaces.traversal_ids @> ARRAY[?]::bigint[]", namespace_id)
.where.not(namespace_id: namespace_id)
.delete_all
```
**How resolution works for this case:**
- **Parent namespace queries visibility:**
- `traversal_ids = [parent_id]`
- Finds override: `enabled: false, propagate: false`
- Type is **disabled** ✅
- **Child namespace queries visibility:**
- `traversal_ids = [parent_id, child_id]`
- Finds two overrides:
- Parent: `enabled: false, propagate: false` → doesn't propagate, skip
- Child: `enabled: true, propagate: true` → applies
- Type is **enabled** ✅
- **Grandchild namespace queries visibility:**
- `traversal_ids = [parent_id, child_id, grandchild_id]`
- Finds child's override: `enabled: true, propagate: true`
- Child propagates to descendants → Type is **enabled** ✅
The `propagate: false` flag on the parent's override ensures it doesn't apply to descendants, while explicit overrides at the child level (with `propagate: true`) become the effective rule for that subtree.
**Performance consideration:** For namespaces with many immediate children, creating overrides at each child can run async but doesn't need to. For typical cases (1-10 children), this completes instantly.
#### Namespace creation
When creating a new namespace, we materialize applicable future rules as regular overrides (ruby pseudo code):
```ruby
def apply_visibility_defaults_to_new_namespace(namespace)
ancestor_ids = namespace.traversal_ids[0..-2] # exclude self
# Find closest ancestor default rule per type (single query)
applicable_defaults = WorkItemTypeVisibilityDefault
.where(namespace_id: ancestor_ids)
.select('DISTINCT ON (work_item_type_id) *')
.order(Arel.sql("
work_item_type_id,
array_position(ARRAY[#{ancestor_ids.join(',')}]::bigint[], namespace_id) DESC
"))
# Bulk insert as regular overrides
overrides = applicable_defaults.map do |default|
{
namespace_id: namespace.id,
work_item_type_id: default.work_item_type_id,
enabled: default.enabled,
propagate: false # these apply only to the new namespace
}
end
WorkItemTypeVisibility.insert_all(overrides) if overrides.any?
end
```
This materializes future rules as regular overrides, so resolution doesn't need to know about the `work_item_type_visibility_defaults` table at all.
### Why This Works
1. **Storage is sparse** - We only store a low percentage of the theoretical namespace × type combinations (only actual overrides)
2. **Reads are fast** - Single query using indexed lookups on `traversal_ids` and `work_item_type_id`
3. **Writes are acceptable** - Bulk operations can run async; individual updates are instant
4. **Namespace moves are free** - Visibility data is keyed by `namespace_id` only; `traversal_ids` is never stored in visibility tables
5. **Clean semantics** - Closest ancestor wins, which matches user mental model of inheritance
## 7. Alternative Approaches Considered
### Event-Sourced Visibility Tree (ESVT)
Store all visibility changes as an append-only event log with timestamps.
**Why rejected:**
- Table grows indefinitely (requires compaction strategy)
- Resolution requires temporal queries (find most recent event per type per ancestry path)
- More complex SQL (`DISTINCT ON` with timestamp ordering)
- Audit trail is valuable, but not worth the read performance cost
- We can achieve audit history with a separate audit table if needed
### Policy Snapshot Inheritance (PSI)
Pre-materialize effective visibility state for all namespace × type combinations at write time.
**Why rejected:**
- Potential storage of thousands of namespaces × 40 types = hundreds of thousands of rows
- Most rows would be redundant (storing inherited defaults)
- Write amplification is severe - changing a root namespace setting requires updating thousands of rows
- Index bloat affects all queries, not just visibility queries
- We're optimizing for a problem we don't have (read performance is already good enough with sparse storage)
The sparse inheritance model strikes the right balance for our use case: deep hierarchies, bulk resolution, and read-heavy workload.
## 8. Rollout plan
The frontend team can already start implementing the actions in the three dot menu and sending the correct mutations. The backend team can add a mock implementation of the mutation. These options should be hidden behind a separate feature flag so we have the option to hide the visibility independently from the work on configurable work item types in general.
Consuming the `enabled` field is transparent here.
The backend can then add the additional visibility resolution layer in the provider and make the mutations work properly.
## 9. Summary
I'm proposing a **sparse inheritance model with ancestor resolution** for work item type visibility controls:
- **Three independent visibility actions** (THIS, ALL_CHILDREN, NEW_CHILDREN) map cleanly to database operations
- **Storage is minimal** - only explicit overrides are stored, not inherited defaults
- **Reads are fast** - single query leveraging `traversal_ids` and indexed lookups
- **Writes are acceptable** - bulk operations can be async; individual updates are instant
- **Namespace moves are free** - no visibility data needs rewriting
- **Clean semantics** - closest ancestor wins, matching user expectations
The `work_item_settings` table provides a global toggle and is designed for future extensibility. The dual `organization_id`/`namespace_id` columns support both SaaS and self-managed deployments during our migration period.
issue
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