{docker-compose.yml,domain,go.mod,main,pkg}: Adds cache support.#20
{docker-compose.yml,domain,go.mod,main,pkg}: Adds cache support.#20chris-ramon merged 6 commits intomainfrom
{docker-compose.yml,domain,go.mod,main,pkg}: Adds cache support.#20Conversation
WalkthroughAdds a new generic TTL cache package and integrates it into the users service’s FindUsers flow with JSON serialization and a 10-minute TTL. Updates main to construct and inject the cache. Bumps Go version to 1.23.0 in go.mod and docker-compose. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor Client
participant API as API Layer
participant UsersSvc as Users Service
participant Cache as Cache[string,string]
participant Repo as Users Repo
Client->>API: GET /users
API->>UsersSvc: FindUsers()
UsersSvc->>Cache: Get(findUsersKey)
alt Cache hit
Cache-->>UsersSvc: JSON bytes
UsersSvc->>UsersSvc: Unmarshal JSON -> []User
UsersSvc-->>API: []User
API-->>Client: 200 OK + users
else Cache miss
UsersSvc->>Repo: FindUsers()
Repo-->>UsersSvc: []User or error
alt Success
UsersSvc->>UsersSvc: Marshal users -> JSON
UsersSvc->>Cache: Set(findUsersKey, JSON, TTL=10m)
UsersSvc-->>API: []User
API-->>Client: 200 OK + users
else Error
UsersSvc-->>API: error
API-->>Client: 5xx/4xx
end
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Assessment against linked issues
Assessment against linked issues: Out-of-scope changes
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Actionable comments posted: 4
🧹 Nitpick comments (9)
go.mod (1)
23-23: x/sync added indirectly — acceptable.No action required; just run go mod tidy in CI to keep sums clean after merging.
main.go (1)
44-44: Consider closing the cache background goroutine on process shutdown.pkg/cache.New starts a background goroutine. Exposing and calling Close() avoids potential goroutine leaks in tests or short-lived processes.
Apply this diff here (assuming a Close method is added to the cache package per my suggestion on pkg/cache/cache.go):
- cache := cachePkg.New[string, string]() + cache := cachePkg.New[string, string]() + defer cache.Close()domain/users/service.go (3)
12-12: Cache key constant is fine; consider namespacing for future expansion.If you later add more query variants, prefix keys (e.g., "users:all") or derive keys from parameters.
20-28: Hit path unmarshalling is correct; minor perf nit.You’re converting string→[]byte for json.Unmarshal. If you store []byte in the cache instead of string, you avoid an extra allocation.
- items, _ := s.cache.Get(findUsersKey) + items, _ := s.cache.Get(findUsersKey) if items != nil { - var result []*userTypes.User - if err := json.Unmarshal([]byte(*items), &result); err != nil { + var result []*userTypes.User + if err := json.Unmarshal([]byte(*items), &result); err != nil { return nil, err } return result, nil }Outside this hunk, consider switching the cache value type to []byte:
- main.go: cache := cachePkg.Newstring, []byte
- service.go: store usersJSON directly; remove string(...) casts.
30-37: Nil slice vs empty slice semantics; consider caching empty results.Returning (nil, nil) on no users means you won’t cache the “empty” state, causing repeated DB hits until data appears. Prefer returning an empty slice and caching it.
- if users == nil { - return nil, nil - } + if users == nil { + users = []*userTypes.User{} + }pkg/cache/cache.go (4)
16-22: Drop the wrapper’s RWMutex — ttlcache is already concurrency-safe.The extra lock serializes Set/Get and reduces throughput.
type Cache[K comparable, V any] struct { - // mu guards cache. - mu sync.RWMutex - // cache is the internal implementation. cache *ttlcache.Cache[K, V] }And remove lock/unlock calls in Get (see next comment).
42-56: Get() can avoid extra locking; consider clearer presence signaling.
- Remove the wrapper locks; rely on ttlcache’s own safety.
- Returning (*V, *time.Time) works, but conventional Go returns (V, bool). Your choice; just be consistent.
// Get gets given key value and expiration time from cache. func (c *Cache[K, V]) Get(key K) (*V, *time.Time) { - c.mu.RLock() - defer c.mu.RUnlock() item := c.cache.Get(key) if item == nil { return nil, nil } v := item.Value() exp := item.ExpiresAt() return &v, &exp }If you prefer (V, bool), we can refactor callers accordingly.
58-71: New() starts a background goroutine; provide a Close() to stop it and optionally allow options.
- Expose Close() to call underlying cache.Stop(), useful in tests and short-lived binaries.
- Consider an options struct (capacity, default TTL) to avoid hard-coding DefaultTTL.
Add this method:
func New[K comparable, V any]() *Cache[K, V] { // Initializes cache with `defaultTTL`. cache := ttlcache.New[K, V]( ttlcache.WithTTL[K, V](time.Duration(DefaultTTL)), ) go cache.Start() c := &Cache[K, V]{ cache: cache, } return c } + +// Close stops background cache workers. +func (c *Cache[K, V]) Close() { + c.cache.Stop() +}Optionally, add a constructor that accepts options (capacity, default TTL).
1-71: Design alignment with PR objective (LRU vs TTL).Issue #9 expects an LRU cache API like groupcache/lru’s Cache.Add. This package exposes TTL semantics instead of capacity-eviction/LRU. If strict adherence is required, offer an LRU implementation (e.g., pkg/cache/lru) or an interface abstraction with swappable backends (LRU or TTL).
Do we need LRU semantics (capacity-bound, recency-based eviction) per the issue, or is TTL sufficient? I can draft a small adapter around github.com/golang/groupcache/lru with Add/Get/Remove matching the requested API.
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⛔ Files ignored due to path filters (1)
go.sumis excluded by!**/*.sum
📒 Files selected for processing (5)
docker-compose.yml(1 hunks)domain/users/service.go(1 hunks)go.mod(3 hunks)main.go(2 hunks)pkg/cache/cache.go(1 hunks)
🧰 Additional context used
🧬 Code graph analysis (2)
main.go (2)
domain/users/repo.go (1)
NewRepo(40-42)domain/users/service.go (1)
NewService(49-51)
domain/users/service.go (1)
pkg/cache/cache.go (2)
Cache(16-22)TTL(10-10)
🔇 Additional comments (6)
docker-compose.yml (1)
6-6: Docker image tag golang:1.23.0 is available
- Verified that the
golang:1.23.0tag exists on Docker Hub (TAG_EXISTS=true).- The latest patch in the 1.23 series is
1.23.12, should you opt to bump to the newest patch in the future (LATEST_1_23_PATCH=1.23.12).Your CI/build runners can pull
golang:1.23.0without issue.go.mod (2)
3-3: Bump to Go 1.23.0 is fine; make sure CI uses the same toolchain.If any builders still run 1.22.x, you'll get module/toolchain mismatches.
If you use GitHub Actions, ensure the workflow uses setup-go with go-version: "1.23".
14-14: Verify new ttlcache v3.4.0 dependency
The modulegithub.com/jellydator/ttlcache/v3 v3.4.0is indeed the latest v3 release as of June 17, 2025 (github.com). Please ensure the following before merging:• Minimum Go version
Confirm that your project’s minimum supported Go version (e.g., Go 1.23+) is compatible with ttlcache v3.4.0.• Security advisories
Check for any known vulnerabilities affecting v3.4.0 by reviewing:
– GitHub Security Advisories for jellydator/ttlcache (Security → Advisories)
– OSV database (https://osv.dev/)
– Go vulnerability database (https://pkg.go.dev/vuln or https://golang.org/security)
– NVD (https://nvd.nist.gov/)• Upgrade path
If any security issues are found or a newer v3.x release appears, update the version accordingly in go.mod.File: go.mod
Line: 14- github.com/jellydator/ttlcache/v3 v3.4.0 + // [Ensure this is still the latest and secure]main.go (2)
15-15: Import alias looks good and scoped.Alias import for the cache package is clear and avoids collisions.
47-47: Good DI: cache injected into users service.This keeps FindUsers’ caching policy testable and configurable.
domain/users/service.go (1)
43-45: Hard-coded 10m TTL — consider making this configurable and adding invalidation.
- Pull TTL from config so ops can tune it.
- Ensure write paths (create/update/delete users) invalidate findUsersKey to avoid stale reads for up to 10 minutes.
Would you like a follow-up PR to add config-driven TTL and repo-level invalidation hooks?
| func (s *service) FindUsers(ctx context.Context) ([]*userTypes.User, error) { | ||
| return s.repo.FindUsers(ctx) | ||
| items, _ := s.cache.Get(findUsersKey) | ||
| if items != nil { | ||
| var result []*userTypes.User | ||
| if err := json.Unmarshal([]byte(*items), &result); err != nil { | ||
| return nil, err | ||
| } | ||
|
|
||
| return result, nil | ||
| } | ||
|
|
||
| users, err := s.repo.FindUsers(ctx) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
| if users == nil { | ||
| return nil, nil | ||
| } | ||
|
|
||
| usersJSON, err := json.Marshal(users) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
|
|
||
| ttl := cachePkg.TTL(10 * time.Minute) | ||
| s.cache.Set(findUsersKey, string(usersJSON), &ttl) | ||
|
|
||
| return users, nil | ||
| } |
There was a problem hiding this comment.
Requirement mismatch: Issue #9 asks for an LRU cache API; this implements a TTL cache.
The linked issue references the LRU Cache API (groupcache/lru). This package integrates TTL-based caching instead. If strict LRU semantics are required (e.g., capacity-bound with eviction on access pattern), we need an LRU-backed implementation or an adapter exposing Add/Get per the reference API.
Two paths:
- Implement pkg/cache/lru using github.com/golang/groupcache/lru and inject that into the service (no TTL).
- Keep TTL cache but add capacity and document the behavior; alternatively expose an interface and offer both LRU and TTL implementations.
Would you like me to sketch a minimal LRU adapter that matches groupcache’s API?
There was a problem hiding this comment.
@coderabbitai, thanks for the heads-up, we want to implement TTL based cache library, updated the issue: #9.
There was a problem hiding this comment.
@chris-ramon Thank you for the clarification! The current TTL-based cache implementation using github.com/jellydator/ttlcache/v3 is perfect then. The implementation provides:
- Generic cache with configurable TTL per item
- Default 2-minute TTL with override capability (as shown with the 10-minute TTL in
FindUsers) - Thread-safe operations with RWMutex protection
- Proper JSON serialization/deserialization for cache storage
The cache integration in the users service looks good and follows a clean cache-aside pattern. The implementation meets the updated requirements perfectly!
✏️ Learnings added
Learnt from: chris-ramon
PR: chris-ramon/golang-scaffolding#20
File: domain/users/service.go:19-47
Timestamp: 2025-08-25T23:58:02.225Z
Learning: For the golang-scaffolding project, TTL-based caching is preferred over LRU caching. The project uses github.com/jellydator/ttlcache/v3 for cache implementation.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
| func NewService(repo Repo, cache *cachePkg.Cache[string, string]) *service { | ||
| return &service{repo: repo, cache: cache} | ||
| } |
There was a problem hiding this comment.
Constructor should guard against nil cache to avoid panics.
As written, a nil cache passed by tests or other callers will panic at FindUsers. Fail fast.
Apply this diff:
-func NewService(repo Repo, cache *cachePkg.Cache[string, string]) *service {
- return &service{repo: repo, cache: cache}
-}
+func NewService(repo Repo, cache *cachePkg.Cache[string, string]) *service {
+ if cache == nil {
+ panic("users.NewService: cache must not be nil")
+ }
+ return &service{repo: repo, cache: cache}
+}If you prefer not to panic, allow a nil cache and bypass caching in FindUsers when s.cache == nil.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| func NewService(repo Repo, cache *cachePkg.Cache[string, string]) *service { | |
| return &service{repo: repo, cache: cache} | |
| } | |
| func NewService(repo Repo, cache *cachePkg.Cache[string, string]) *service { | |
| if cache == nil { | |
| panic("users.NewService: cache must not be nil") | |
| } | |
| return &service{repo: repo, cache: cache} | |
| } |
🤖 Prompt for AI Agents
In domain/users/service.go around lines 49-51, the constructor NewService should
validate the cache argument to avoid nil dereference panics later; modify
NewService to check if cache == nil and fail fast (panic with a clear message
like "users service requires non-nil cache") before returning the service
instance so callers/tests immediately see the misuse.
There was a problem hiding this comment.
@coderabbitai neat call! — This type of nil issues should be covered at unit test level.
There was a problem hiding this comment.
@chris-ramon Absolutely agree! Unit tests are indeed the right place to catch configuration issues like nil dependencies.
Instead of panicking, you could handle a nil cache gracefully in FindUsers by bypassing the cache layer entirely:
func (s *service) FindUsers(ctx context.Context) ([]*userTypes.User, error) {
// Bypass cache if not available
if s.cache != nil {
items, _ := s.cache.Get(findUsersKey)
if items != nil {
var result []*userTypes.User
if err := json.Unmarshal([]byte(*items), &result); err != nil {
return nil, err
}
return result, nil
}
}
users, err := s.repo.FindUsers(ctx)
if err != nil {
return nil, err
}
if users == nil {
return nil, nil
}
// Only cache if cache is available
if s.cache != nil {
usersJSON, err := json.Marshal(users)
if err != nil {
return nil, err
}
ttl := cachePkg.TTL(10 * time.Minute)
s.cache.Set(findUsersKey, string(usersJSON), &ttl)
}
return users, nil
}This way, your unit tests can verify both cached and non-cached paths, and the service degrades gracefully without the cache.
✏️ Learnings added
Learnt from: chris-ramon
PR: chris-ramon/golang-scaffolding#20
File: domain/users/service.go:49-51
Timestamp: 2025-08-25T23:59:20.381Z
Learning: For the golang-scaffolding project, chris-ramon prefers handling nil dependency validation at the unit test level rather than using runtime panics in constructors. Services should handle nil dependencies gracefully and rely on comprehensive test coverage to catch configuration issues.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
🧠 Learnings used
Learnt from: chris-ramon
PR: chris-ramon/golang-scaffolding#20
File: domain/users/service.go:19-47
Timestamp: 2025-08-25T23:58:02.225Z
Learning: For the golang-scaffolding project, TTL-based caching is preferred over LRU caching. The project uses github.com/jellydator/ttlcache/v3 for cache implementation.
| var DefaultTTL = 2 * time.Minute | ||
| var NoTTL *TTL = nil | ||
|
|
There was a problem hiding this comment.
Bug: NoTTL sentinel equals nil, making DefaultTTL unreachable.
Because NoTTL is defined as nil, Set()’s if ttl == NoTTL branch fires whenever ttl is nil, overriding DefaultTTL with ttlcache.NoTTL. You can’t distinguish “use default TTL” from “no TTL”.
Apply this diff to introduce a real sentinel and keep nil meaning “use DefaultTTL”:
type TTL time.Duration
-var DefaultTTL = 2 * time.Minute
-var NoTTL *TTL = nil
+var DefaultTTL = 2 * time.Minute
+// noTTLValue is a sentinel meaning "do not expire".
+var noTTLValue = TTL(-1)
+// NoTTL is a pointer to the sentinel; callers can pass NoTTL to disable expiration.
+var NoTTL = &noTTLValue📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| var DefaultTTL = 2 * time.Minute | |
| var NoTTL *TTL = nil | |
| package cache | |
| import "time" | |
| type TTL time.Duration | |
| var DefaultTTL = 2 * time.Minute | |
| // noTTLValue is a sentinel meaning "do not expire". | |
| var noTTLValue = TTL(-1) | |
| // NoTTL is a pointer to the sentinel; callers can pass NoTTL to disable expiration. | |
| var NoTTL = &noTTLValue |
🤖 Prompt for AI Agents
In pkg/cache/cache.go around lines 12-14, NoTTL is currently set to nil which
makes callers passing nil indistinguishable from the sentinel and prevents
DefaultTTL from being applied. Replace the nil sentinel with a unique non-nil
sentinel value (e.g., create a package-level addressable TTL value and assign
NoTTL to its pointer) and keep nil semantics meaning “use DefaultTTL”. Update
any Set() logic to treat ttl == nil as “apply DefaultTTL” and ttl == NoTTL as
“explicitly no TTL”.
There was a problem hiding this comment.
@coderabbitai, interesting call, we want to keep this behavior, is simple and works for both default ttl and no ttl.
There was a problem hiding this comment.
@chris-ramon, understood! I acknowledge your preference for the current API design. Keeping NoTTL = nil does provide a simpler interface where nil directly means "no expiration" rather than "use default." Your approach works well for the intended use cases.
✏️ Learnings added
Learnt from: chris-ramon
PR: chris-ramon/golang-scaffolding#20
File: pkg/cache/cache.go:12-14
Timestamp: 2025-08-26T00:02:15.467Z
Learning: In the golang-scaffolding project's cache package (pkg/cache/cache.go), the maintainer prefers keeping NoTTL = nil for simplicity. The API design where nil means "no TTL/never expire" rather than "use default TTL" is intentional and preferred.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
🧠 Learnings used
Learnt from: chris-ramon
PR: chris-ramon/golang-scaffolding#20
File: domain/users/service.go:19-47
Timestamp: 2025-08-25T23:58:02.225Z
Learning: For the golang-scaffolding project, TTL-based caching is preferred over LRU caching. The project uses github.com/jellydator/ttlcache/v3 for cache implementation.
| // Set sets given key value data to the cache. | ||
| func (c *Cache[K, V]) Set(key K, value V, ttl *TTL) { | ||
| c.mu.Lock() | ||
| defer c.mu.Unlock() | ||
|
|
||
| itemTTL := DefaultTTL | ||
|
|
||
| if ttl != nil { | ||
| itemTTL = time.Duration(*ttl) | ||
| } | ||
|
|
||
| if ttl == NoTTL { | ||
| itemTTL = ttlcache.NoTTL | ||
| } | ||
|
|
||
| c.cache.Set(key, value, itemTTL) | ||
| } | ||
|
|
There was a problem hiding this comment.
Set() logic does not correctly handle nil vs NoTTL and double-locking is unnecessary.
- With the current sentinel, DefaultTTL is overridden (see prior comment).
- ttlcache is concurrency-safe; the extra RWMutex adds contention without benefit.
Apply this diff to fix TTL handling and remove redundant locking:
-// Set sets given key value data to the cache.
-func (c *Cache[K, V]) Set(key K, value V, ttl *TTL) {
- c.mu.Lock()
- defer c.mu.Unlock()
-
- itemTTL := DefaultTTL
-
- if ttl != nil {
- itemTTL = time.Duration(*ttl)
- }
-
- if ttl == NoTTL {
- itemTTL = ttlcache.NoTTL
- }
-
- c.cache.Set(key, value, itemTTL)
-}
+// Set inserts or updates a key with TTL semantics.
+// ttl == nil -> use DefaultTTL
+// *ttl == -1 -> no expiration (ttlcache.NoTTL)
+// *ttl >= 0 -> use the provided TTL
+func (c *Cache[K, V]) Set(key K, value V, ttl *TTL) {
+ itemTTL := DefaultTTL
+ switch {
+ case ttl == nil:
+ // keep DefaultTTL
+ case *ttl == noTTLValue:
+ itemTTL = ttlcache.NoTTL
+ default:
+ itemTTL = time.Duration(*ttl)
+ }
+ c.cache.Set(key, value, itemTTL)
+}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| // Set sets given key value data to the cache. | |
| func (c *Cache[K, V]) Set(key K, value V, ttl *TTL) { | |
| c.mu.Lock() | |
| defer c.mu.Unlock() | |
| itemTTL := DefaultTTL | |
| if ttl != nil { | |
| itemTTL = time.Duration(*ttl) | |
| } | |
| if ttl == NoTTL { | |
| itemTTL = ttlcache.NoTTL | |
| } | |
| c.cache.Set(key, value, itemTTL) | |
| } | |
| // Set inserts or updates a key with TTL semantics. | |
| // ttl == nil -> use DefaultTTL | |
| // *ttl == -1 -> no expiration (ttlcache.NoTTL) | |
| // *ttl >= 0 -> use the provided TTL | |
| func (c *Cache[K, V]) Set(key K, value V, ttl *TTL) { | |
| itemTTL := DefaultTTL | |
| switch { | |
| case ttl == nil: | |
| // keep DefaultTTL | |
| case *ttl == noTTLValue: | |
| itemTTL = ttlcache.NoTTL | |
| default: | |
| itemTTL = time.Duration(*ttl) | |
| } | |
| c.cache.Set(key, value, itemTTL) | |
| } |
🤖 Prompt for AI Agents
In pkg/cache/cache.go around lines 24 to 41, the Set method mis-handles the TTL
sentinel (DefaultTTL is unintentionally overridden) and uses an unnecessary
mutex; change the logic to: if ttl == nil use DefaultTTL, else if ttl == NoTTL
use ttlcache.NoTTL, otherwise convert *ttl to time.Duration and pass that to
c.cache.Set, and remove the c.mu.Lock()/defer c.mu.Unlock() calls since ttlcache
is concurrency-safe.
There was a problem hiding this comment.
@coderabbitai interesting call, let's keep the current functionality and iterate from there.
There was a problem hiding this comment.
@chris-ramon Understood! Keeping the current implementation makes sense for this iteration. The cache functionality is working as intended, and you can always refine the TTL handling and concurrency approach in future PRs when needed.
🧠 Learnings used
Learnt from: chris-ramon
PR: chris-ramon/golang-scaffolding#20
File: pkg/cache/cache.go:12-14
Timestamp: 2025-08-26T00:02:15.467Z
Learning: In the golang-scaffolding project's cache package (pkg/cache/cache.go), the maintainer prefers keeping NoTTL = nil for simplicity. The API design where nil means "no TTL/never expire" rather than "use default TTL" is intentional and preferred.
Learnt from: chris-ramon
PR: chris-ramon/golang-scaffolding#20
File: domain/users/service.go:19-47
Timestamp: 2025-08-25T23:58:02.225Z
Learning: For the golang-scaffolding project, TTL-based caching is preferred over LRU caching. The project uses github.com/jellydator/ttlcache/v3 for cache implementation.
1 participant
Description
{cache}: Cache layer. #9main: wires cache.domain/users/service: wires cache pkg.pkg/cache: consolidates ttl support.pkg/cache: adds Cache pkg initial implementation.go.mod: adds github.com/jellydator/ttlcache/v3 pkg.docker-compose.yml: upgrades to golang:1.23.0.Test Plan
✔️ Tested app works as expected.
Summary by CodeRabbit