chore(server): item import performance enhancement #1319
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WalkthroughThe pull request introduces several modifications across multiple files, primarily focusing on adding a Changes
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Actionable comments posted: 5
🧹 Outside diff range and nitpick comments (22)
server/internal/usecase/repo/thread.go (1)
18-18: Add documentation for the SaveAll method.The addition of
SaveAllmethod is a good performance enhancement for batch operations. Consider adding a documentation comment to specify:
- Expected behavior for partial failures
- Any atomicity guarantees
- Performance characteristics
Example documentation:
+// SaveAll saves multiple threads in a batch operation. +// It may provide better performance than individual Save operations. +// Implementation-specific atomicity guarantees may apply. SaveAll(context.Context, thread.List) errorserver/pkg/thread/list.go (1)
23-29: LGTM! Excellent performance optimization additions.The new methods
IDs()andToMap()are well-implemented and provide valuable performance optimizations:
IDs()efficiently extracts thread IDs usingutil.MapToMap()creates a hash map for O(1) lookups, which can significantly improve performance when searching for threads by IDThese additions align well with the PR's performance enhancement objectives.
Consider using these methods in scenarios where:
- You need to check thread existence
- You need to perform bulk operations on threads
- You need to cross-reference threads with other entities
server/pkg/item/list.go (2)
28-32: Consider adding a documentation commentWhile the implementation is correct, consider adding a documentation comment to explain the purpose of this method, especially since it's a new addition.
+// IDs returns a list of item IDs from the item list func (l List) IDs() IDList {
Line range hint
49-59: Consider optimizing item lookup performanceThe current implementation uses a linear search (O(n)) to find items. For better performance, especially with large lists, consider:
- Using a map-based lookup (O(1)) similar to ToMap
- Or maintaining an internal index map
+// Item returns a versioned item by ID using linear search func (l VersionedList) Item(iid ID) Versioned { if l == nil { return nil } + // TODO: Consider using map-based lookup for better performance for _, versioned := range l {server/internal/infrastructure/memory/thread.go (4)
38-41: Add context cancellation checkThe method accepts a context parameter but doesn't utilize it. Consider adding a context cancellation check before proceeding with the operation.
func (r *Thread) SaveAll(_ context.Context, th thread.List) error { + if err := ctx.Err(); err != nil { + return fmt.Errorf("thread save all: %w", err) + } if r.err != nil { return r.err }
43-47: Consider batching the permission checksThe current implementation validates all threads' permissions before saving any. For large lists, this could be memory-intensive and might delay the start of actual saving operations.
Consider processing threads in batches to optimize memory usage and enable partial progress. Example approach:
const batchSize = 1000 for i := 0; i < len(th); i += batchSize { end := i + batchSize if end > len(th) { end = len(th) } batch := th[i:end] // Process batch for _, t := range batch { if !r.f.CanWrite(t.Workspace()) { return repo.ErrOperationDenied } } r.data.StoreAll(batch.ToMap()) }
48-50: Improve error handling for StoreAll operationThe
StoreAlloperation's error handling could be more specific to help with debugging.- r.data.StoreAll(th.ToMap()) - return nil + if err := r.data.StoreAll(th.ToMap()); err != nil { + return fmt.Errorf("failed to store threads: %w", err) + } + return nil
38-50: Implementation aligns with performance enhancement goalsThe new
SaveAllmethod supports batch operations, which is beneficial for item import performance. However, consider the following performance optimizations:
- Batch processing for large datasets
- Parallel processing for permission checks
- Monitoring and metrics for batch operations
These enhancements would further support the PR's performance objectives.
Would you like assistance in implementing any of these optimizations?
server/internal/usecase/repo/Item.go (1)
35-35: LGTM! Well-designed batch operation interface.The addition of
SaveAllmethod is a good architectural decision for improving item import performance by enabling batch operations.Consider these implementation guidelines for concrete types:
- Ensure atomic transaction handling for the batch operation
- Implement proper error collection/aggregation
- Consider adding batch size limits to prevent memory issues
server/internal/infrastructure/mongo/mongodoc/thread.go (1)
43-43: Add documentation for the new functionConsider adding a documentation comment explaining the function's purpose, parameters, and return values. This will help other developers understand its role in batch processing.
+// NewThreads converts a list of threads into MongoDB documents and their corresponding IDs. +// It safely handles nil entries by skipping them. +// Returns a slice of ThreadDocument and a slice of their string IDs. func NewThreads(a thread.List) ([]ThreadDocument, []string) {server/internal/infrastructure/mongo/thread.go (2)
43-54: LGTM: Well-structured batch save implementationThe implementation follows good practices:
- Early validation of input and permissions
- Efficient batch processing
- Consistent with single-item save behavior
Consider adding performance monitoring for large batches to help tune the operation.
43-54: Consider adding transaction supportFor data consistency, consider wrapping the batch operation in a transaction. This ensures atomicity - either all threads are saved or none are.
Example enhancement:
func (r *ThreadRepo) SaveAll(ctx context.Context, threads thread.List) error { if len(threads) == 0 { return nil } for _, t := range threads { if !r.f.CanWrite(t.Workspace()) { return repo.ErrOperationDenied } } + return r.client.WithTransaction(ctx, func(sessCtx context.Context) error { docs, ids := mongodoc.NewThreads(threads) - return r.client.SaveAll(ctx, ids, lo.ToAnySlice(docs)) + return r.client.SaveAll(sessCtx, ids, lo.ToAnySlice(docs)) + }) }server/internal/infrastructure/memory/memorygit/memory.go (2)
78-88: Implementation looks correct but could be optimized for batch operations.The method correctly handles input validation and maintains consistency with the existing
SaveOnefunctionality. However, given this is part of a performance enhancement PR, consider these improvements:
- The current implementation makes individual
SaveOnecalls, which might not be optimal for large batches.- Consider adding concurrent processing for better performance with large datasets.
Here's a suggested optimization using goroutines with a worker pool:
func (m *VersionedSyncMap[K, V]) SaveAll(key []K, value []V, parent []*version.VersionOrRef) { if len(key) != len(value) || (parent != nil && len(key) != len(parent)) { return } if len(key) == 0 { return } - for i := 0; i < len(key); i++ { - m.SaveOne(key[i], value[i], parent[i]) - } + // Use a worker pool for large datasets + if len(key) > 1000 { + const workers = 4 + var wg sync.WaitGroup + ch := make(chan int, len(key)) + + // Start workers + for w := 0; w < workers; w++ { + wg.Add(1) + go func() { + defer wg.Done() + for i := range ch { + m.SaveOne(key[i], value[i], parent[i]) + } + }() + } + + // Send work + for i := 0; i < len(key); i++ { + ch <- i + } + close(ch) + wg.Wait() + } else { + // Use simple loop for small datasets + for i := 0; i < len(key); i++ { + m.SaveOne(key[i], value[i], parent[i]) + } + } }
79-81: Consider providing more descriptive error handling.The current implementation silently returns when input slices have inconsistent lengths. Consider adding error returns to help callers understand why the operation failed.
-func (m *VersionedSyncMap[K, V]) SaveAll(key []K, value []V, parent []*version.VersionOrRef) { +func (m *VersionedSyncMap[K, V]) SaveAll(key []K, value []V, parent []*version.VersionOrRef) error { if len(key) != len(value) || (parent != nil && len(key) != len(parent)) { - return + return fmt.Errorf("inconsistent input lengths: keys=%d, values=%d, parents=%d", + len(key), len(value), len(parent)) }server/internal/infrastructure/mongo/mongogit/collection.go (1)
110-112: Enhance input validationThe current validation checks for length mismatches but could be more comprehensive:
- Check for nil/empty IDs and docs
- Validate individual IDs and documents for correctness
Consider adding these validations:
+ if ids == nil || docs == nil { + return rerror.ErrInvalidParams + } + + // Validate individual items + for i, id := range ids { + if id == "" { + return rerror.ErrInvalidParams + } + if docs[i] == nil { + return rerror.ErrInvalidParams + } + }server/internal/infrastructure/memory/item.go (1)
178-190: Optimize permission checks and consider atomic operationsThe implementation has two potential areas for improvement:
- Permission checks could be optimized by grouping items by project and checking permissions once per project, rather than per item.
- Consider implementing transaction-like behavior to ensure all-or-nothing semantics for batch operations.
Here's a suggested optimization for permission checks:
func (r *Item) SaveAll(_ context.Context, il item.List) error { if r.err != nil { return r.err } - for _, t := range il { - if !r.f.CanWrite(t.Project()) { - return repo.ErrOperationDenied - } - } + // Group items by project and check permissions once per project + projectMap := make(map[id.ProjectID]struct{}) + for _, t := range il { + projectMap[t.Project()] = struct{}{} + } + for projectID := range projectMap { + if !r.f.CanWrite(projectID) { + return repo.ErrOperationDenied + } + } + r.data.SaveAll(il.IDs(), il, nil) return nil }server/internal/infrastructure/mongo/item.go (3)
237-241: Consider optimizing permission checks for large batchesThe current implementation checks permissions sequentially for each item. For large batches, this could be optimized.
Consider this optimization:
- for _, itm := range items { - if !r.f.CanWrite(itm.Project()) { - return repo.ErrOperationDenied - } - } + // Group items by project for efficient permission checking + projects := make(map[string]struct{}) + for _, itm := range items { + projects[itm.Project().String()] = struct{}{} + } + for projectID := range projects { + if !r.f.CanWrite(id.ProjectIDFrom(projectID)) { + return repo.ErrOperationDenied + } + }
232-232: Add method documentationConsider adding documentation to describe the method's purpose, parameters, and behavior.
Add a comment block like:
+// SaveAll saves multiple items in a single batch operation. +// It returns ErrOperationDenied if any item's project is not writable. +// Returns nil if the input list is empty. func (r *Item) SaveAll(ctx context.Context, items item.List) error {
232-244: Consider adding batch size limitsLarge batches could impact memory usage. Consider implementing batch size limits for better resource management.
Suggestions:
- Add a constant for maximum batch size (e.g.,
maxBatchSize = 1000)- Split large batches into smaller chunks
- Process chunks sequentially or with controlled concurrency
Would you like me to provide a detailed implementation for batch size limiting?
server/internal/usecase/interactor/item.go (3)
379-389: Consider checking for emptyitemsIdsbefore database callIf
itemsIdsis empty, callingFindByIDsmight result in an unnecessary database query. Consider adding a condition to check ifitemsIdsis not empty before making the call to optimize performance.Apply this diff to add the conditional check:
+ if len(itemsIds) > 0 { oldItems, err := i.repos.Item.FindByIDs(ctx, itemsIds, nil) if err != nil { return interfaces.ImportItemsResponse{}, err } + }
578-583: Consider reusing saved items to avoid refetchingAfter saving items, refetching them from the database may be unnecessary. Consider reusing the items from
itemsToSaveto avoid extra database queries and enhance performance.
1051-1053: Address the TODO: Enhance performance using schema packageThe TODO comment suggests improving performance by utilizing the schema package. Consider implementing this enhancement to optimize
handleGroupFields.Would you like assistance in implementing this performance improvement or creating a GitHub issue to track it?
📜 Review details
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Review profile: CHILL
📒 Files selected for processing (13)
server/internal/infrastructure/memory/item.go(5 hunks)server/internal/infrastructure/memory/memorygit/memory.go(1 hunks)server/internal/infrastructure/memory/thread.go(1 hunks)server/internal/infrastructure/mongo/item.go(2 hunks)server/internal/infrastructure/mongo/mongodoc/thread.go(1 hunks)server/internal/infrastructure/mongo/mongogit/collection.go(1 hunks)server/internal/infrastructure/mongo/thread.go(2 hunks)server/internal/usecase/interactor/item.go(8 hunks)server/internal/usecase/repo/Item.go(1 hunks)server/internal/usecase/repo/thread.go(1 hunks)server/pkg/item/id.go(1 hunks)server/pkg/item/list.go(3 hunks)server/pkg/thread/list.go(2 hunks)
🔇 Additional comments (26)
server/pkg/thread/list.go (1)
23-29: Verify usage patterns for optimal performance gains.
Let's verify how these new methods are being utilized in the codebase, particularly in import-related code.
✅ Verification successful
Based on the output, I can now generate the final response:
New methods are being utilized effectively across the codebase
The IDs() method is widely used across multiple components (items, assets, schemas, etc.) for efficient ID collection, particularly in:
- Request processing and item lookups
- Asset reference handling
- Authorization checks
- Integration operations
The ToMap() method is effectively used in:
- Request processing for version comparison (
latestItemsMap) - Thread management in memory storage
- Item version mapping
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check usage patterns of the new methods and identify potential optimization opportunities
# Check for direct usage of these new methods
echo "Checking direct usage of new methods..."
rg -A 3 "IDs\(\)" --type go
rg -A 3 "ToMap\(\)" --type go
# Look for potential optimization opportunities
echo "Checking for potential optimization opportunities..."
# Find places where we might be doing manual ID extraction or map creation
rg -A 5 "for\s+.*,\s+thread\s+:=\s+range" --type go
rg -A 5 "map\[thread\.ID\]" --type go
Length of output: 10513
server/pkg/item/id.go (2)
9-9: LGTM! The new IDList type alias is well-placed and follows the established pattern.
The addition of IDList type alias is consistent with the file's existing type definitions and will support the batch operations being introduced.
9-9: Verify the usage of IDList type alias
Let's ensure this new type alias is being properly utilized in the batch operations mentioned in the summary.
✅ Verification successful
Type alias IDList is correctly used for batch operations
The type alias IDList = id.ItemIDList is being properly utilized throughout the codebase, particularly in repository interfaces and implementations. The search results show consistent usage in:
- Repository interfaces:
FindByIDs(context.Context, id.ItemIDList, *version.Ref) (item.VersionedList, error) - Batch operations:
FindAllVersionsByIDs,FindByAssets, etc. - Test cases validating the functionality
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check the usage of the new IDList type alias in the codebase
# Expected: Find usages in SaveAll methods and other batch operations
# Search for direct usage of IDList
echo "=== Searching for IDList usage ==="
rg "IDList" --type go
# Search for SaveAll methods that might use this type
echo -e "\n=== Searching for SaveAll methods ==="
ast-grep --pattern 'func $$$SaveAll($$$) $$$'
Length of output: 44461
server/pkg/item/list.go (4)
10-14: LGTM! Type change is consistent
The implementation correctly uses lo.Filter and maintains the existing logic while updating to the new type system.
16-20: LGTM! Type change is consistent
The implementation correctly uses lo.Map and maintains the existing logic while updating to the new type system.
22-26: LGTM! Type change is consistent
The implementation correctly uses lo.Find and maintains the existing logic while updating to the new type system.
Line range hint 61-67: LGTM! Efficient implementation with pre-allocated capacity
The implementation correctly creates a map with pre-allocated capacity and maintains the existing logic while updating to the new type system.
server/internal/usecase/repo/Item.go (1)
35-35: Verify implementations of the SaveAll method.
Let's ensure all implementations of the Item interface have been updated with the new method.
✅ Verification successful
Let me correct the regex syntax and try a different approach to find the implementations.
SaveAll method is properly implemented across the codebase
The verification shows that the SaveAll method is correctly implemented in both memory and MongoDB implementations of the Item interface:
server/internal/infrastructure/mongo/item.go: HasSaveAll(ctx context.Context, items item.List) errorserver/internal/infrastructure/memory/item.go: HasSaveAll(_ context.Context, il item.List) error
Both implementations follow the interface signature and handle empty lists appropriately.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Find all implementations of the Item interface and verify SaveAll method
# Find potential implementation files
echo "=== Searching for Item interface implementations ==="
rg --type go -l "struct.*Item.*{" server/internal/infrastructure/
# Find SaveAll method implementations
echo -e "\n=== Searching for SaveAll implementations ==="
ast-grep --pattern 'func ($RECV *$TYPE) SaveAll(context.Context, item.List) error {
$$$
}'
Length of output: 478
Script:
#!/bin/bash
# Search for Item interface implementations with fixed regex
echo "=== Searching for Item interface implementations ==="
rg --type go "type \w+Item struct" server/internal/infrastructure/
# Search for SaveAll method implementations
echo -e "\n=== Searching for SaveAll method implementations ==="
rg --type go -A 2 "func \(.*\) SaveAll\(" server/internal/infrastructure/
Length of output: 4254
server/internal/infrastructure/mongo/mongodoc/thread.go (2)
43-55: Implementation looks good with performance considerations in place!
The implementation includes several good performance practices:
- Pre-allocation of result slices with proper capacity
- Reuse of existing
NewThreadfunction for consistency - Proper nil checks to prevent panics
- Enables batch processing which aligns with the PR's performance enhancement goals
43-55: Verify the integration with item import flow
Let's verify how this batch conversion function is being utilized in the item import flow to ensure it contributes to the performance enhancement.
✅ Verification successful
From analyzing the code, I can see that the NewThreads batch conversion function is being used in the thread repository's SaveAll method, which is called from the item import interactor (server/internal/usecase/interactor/item.go). This shows that the batch conversion function is indeed integrated with the item import flow for performance optimization. The code shows:
- The thread repository implements batch saving using
SaveAll - The item import interactor uses this batch functionality:
if err := i.repos.Thread.SaveAll(ctx, threadsToSave) - The batch conversion function
NewThreadsproperly handles nil checks and efficiently pre-allocates slices
Integration with item import flow verified
The batch conversion function is correctly integrated into the item import flow and contributes to performance optimization by enabling bulk operations during item imports.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for usage of NewThreads in the item import related code
rg -l "NewThreads.*thread\.List" | xargs rg "import.*item"
# Look for any performance-related changes in files that use this function
rg -l "NewThreads.*thread\.List" | xargs rg "batch|bulk|performance"
Length of output: 131
Script:
#!/bin/bash
# First, let's find files that use NewThreads function
rg -l "NewThreads"
# Then, let's look at the actual usage context with surrounding lines
rg -B 5 -A 5 "NewThreads"
# Let's also check for any thread-related batch operations
rg -B 3 -A 3 "thread.*batch|batch.*thread"
# Check for any performance-related comments or documentation
fd README.md | xargs rg -i "performance|batch|bulk"
Length of output: 1899
Script:
#!/bin/bash
# Let's check the mongo thread repository implementation to understand the context
cat server/internal/infrastructure/mongo/thread.go
# Let's also check if there are any recent changes or commits related to batch operations
rg -B 3 -A 3 "SaveAll|BulkWrite|InsertMany"
# Let's look for any item import related code that might be using threads
rg -l "import.*thread" | xargs rg "import.*item"
Length of output: 34158
server/internal/infrastructure/mongo/thread.go (1)
12-12: LGTM: Appropriate use of lo package
The lo package is a good choice for slice operations and type conversions.
server/internal/infrastructure/memory/memorygit/memory.go (1)
78-88: Verify usage patterns and memory implications.
Since this is part of a performance enhancement PR, let's verify how this method will be used.
✅ Verification successful
Batch operations are well-structured and safely implemented
The verification shows that SaveAll is consistently used across multiple repository implementations (mongo, memory) with proper safety checks:
- All implementations verify list lengths before processing
- Used for domain entities: items, threads, models, groups, views, and requests
- Batch sizes are controlled by the business logic layer, not arbitrary client input
- Memory implementation uses
VersionedSyncMapwhich has proper validation
The changes to VersionedSyncMap.SaveAll align with the established pattern across the codebase where:
- Input validation ensures key-value-parent arrays have matching lengths
- Empty lists are handled gracefully
- Individual saves are performed in a controlled loop
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check usage patterns of SaveAll method and potential batch sizes
# Find all calls to SaveAll to understand typical batch sizes
rg -A 5 "SaveAll\(" --type go
# Look for any existing batch processing patterns
ast-grep --pattern 'for $_ := range $_ {
$$$
Save($$$)
$$$
}'
Length of output: 19080
server/internal/infrastructure/mongo/mongogit/collection.go (1)
108-127: 🛠️ Refactor suggestion
Optimize batch operations for better performance
The current implementation iterates through items sequentially, which may not be optimal for large batch operations. Consider the following improvements:
- The TODO comment correctly identifies the need for bulk write operations
- The method could benefit from concurrent processing for better performance
- Error handling could be enhanced to collect all errors instead of stopping at the first one
Here's a suggested implementation using MongoDB's bulk write operations:
func (c *Collection) SaveAll(ctx context.Context, ids []string, docs []any, parents []*version.VersionOrRef) error {
- // TODO: optimize to use bulk write
if len(ids) != len(docs) || (parents != nil && len(ids) != len(parents)) {
return rerror.ErrInvalidParams
}
if len(ids) == 0 {
return nil
}
+
+ // Check for archived documents first
+ for _, id := range ids {
+ if archived, err := c.IsArchived(ctx, bson.M{"id": id}); err != nil {
+ return err
+ } else if archived {
+ return version.ErrArchived
+ }
+ }
+
+ // Prepare bulk write models
+ models := make([]mongo.WriteModel, 0, len(ids))
+ for i := 0; i < len(ids); i++ {
+ actualVr := version.Latest.OrVersion()
+ if parents != nil {
+ actualVr = lo.FromPtrOr(parents[i], version.Latest.OrVersion())
+ }
+
+ meta, err := c.meta(ctx, ids[i], actualVr.Ref())
+ if err != nil {
+ return err
+ }
+
+ var refs []version.Ref
+ actualVr.Match(nil, func(r version.Ref) { refs = []version.Ref{r} })
+ newmeta := Meta{
+ ObjectID: primitive.NewObjectIDFromTimestamp(util.Now()),
+ Version: version.New(),
+ Refs: refs,
+ }
+
+ if meta == nil {
+ if !actualVr.IsRef(version.Latest) {
+ return rerror.ErrNotFound
+ }
+ } else {
+ newmeta.Parents = []version.Version{meta.Version}
+ }
+
+ model := mongo.NewInsertOneModel().SetDocument(&Document[any]{
+ Data: docs[i],
+ Meta: newmeta,
+ })
+ models = append(models, model)
+ }
+
+ // Execute bulk write
+ if _, err := c.client.Client().BulkWrite(ctx, models); err != nil {
+ return rerror.ErrInternalBy(err)
+ }
+
+ // Update refs
+ for i := 0; i < len(ids); i++ {
+ actualVr := version.Latest.OrVersion()
+ if parents != nil {
+ actualVr = lo.FromPtrOr(parents[i], version.Latest.OrVersion())
+ }
+ if err := version.MatchVersionOrRef(actualVr, nil, func(r version.Ref) error {
+ return c.UpdateRef(ctx, ids[i], r, nil)
+ }); err != nil {
+ return err
+ }
+ }
+
return nil
}Let's verify the potential performance impact:
server/internal/infrastructure/memory/item.go (1)
27-31: LGTM: Clean constructor implementation
The constructor follows Go idioms and properly initializes the required fields.
server/internal/infrastructure/mongo/item.go (2)
16-16: LGTM: Good choice of utility library
The addition of the github.com/samber/lo package is appropriate for handling slice type conversions in batch operations.
232-244: LGTM: Well-structured batch save implementation
The implementation follows good practices with early returns, proper error handling, and batch operations.
server/internal/usecase/interactor/item.go (10)
369-373: LGTM: Project retrieval and error handling
The code correctly retrieves the project using s.Project() and handles errors appropriately.
395-397: LGTM: Initialization for batch operations
Initializing threadsToSave and itemsToSave prepares for efficient batch saving of threads and items.
398-403: LGTM: Struct for tracking item changes
Defining itemChanges and initializing itemsEvent enhances tracking of item updates during the import process.
479-479: LGTM: Append thread to batch save list
Appending the new thread to threadsToSave correctly prepares it for batch saving.
531-531: LGTM: Append metadata item to batch save list
Adding the metadata item to itemsToSave ensures it will be saved along with other items.
548-550: LGTM: Handling group fields with error checking
Group fields are processed using handleGroupFields, and errors are appropriately handled.
559-559: LGTM: Append item to batch save list
Appending the item to itemsToSave prepares it for efficient batch saving.
564-568: LGTM: Recording item changes for event processing
Storing oldFields and action in itemsEvent aids in generating accurate events after import.
570-572: LGTM: Batch saving threads with error handling
Threads are saved in batch using SaveAll, and errors are properly handled.
574-577: LGTM: Batch saving items with error handling
Items are saved in batch using SaveAll, improving performance and ensuring error handling.
Summary by CodeRabbit
Release Notes
New Features
SaveAllmethods across multiple components, allowing for batch saving of items and threads.NewThreadsfunction for creating multiple thread documents from a list.Bug Fixes
Documentation
These updates enhance the overall efficiency and usability of the application, particularly in managing multiple items and threads simultaneously.