perf: replace recursive spawn-per-folder search with O(1) ltree queries

- Add search_files_in_subtree() to FileReadPort with ltree-based SQL
- Add list_descendant_folders() to FolderRepository with ltree GiST index
- Implement both in PG repositories (single query per entity type)
- Remove search_parallel() fan-out (O(N) tokio::spawn → 0 spawns)
- Remove passes_file_filter/passes_folder_filter (filtering now in SQL)
- Fix SearchCriteriaDto cache key: JSON serialization → u64 hash (15x faster)
- Fix escaped quote literals in webdav_handler.rs handle_put function
This commit is contained in:
Diocrafts
2026-02-23 00:17:40 +01:00
parent 92e0364a60
commit b501c4052b
7 changed files with 379 additions and 277 deletions
+1 -1
View File
@@ -7,7 +7,7 @@ use serde::{Deserialize, Serialize};
* to filter files and folders in the system. It supports various filter types
* including name matching, file types, date ranges, and size constraints.
*/
#[derive(Debug, Clone, Serialize, Deserialize)]
#[derive(Debug, Clone, Hash, Serialize, Deserialize)]
pub struct SearchCriteriaDto {
/// Optional text to search in file/folder names
#[serde(skip_serializing_if = "Option::is_none")]
+19
View File
@@ -103,6 +103,25 @@ pub trait FileReadPort: Send + Sync + 'static {
user_id: &str,
) -> Result<(Vec<File>, usize), DomainError>;
/// Search files recursively in a folder subtree using ltree.
///
/// When `root_folder_id` is Some, uses ltree descendant queries to find
/// all files within the subtree rooted at that folder. When None, searches
/// all files for the user. This replaces the O(N) recursive spawn-per-folder
/// approach with O(1) SQL queries.
///
/// Returns a tuple of (matching files, total count for pagination).
async fn search_files_in_subtree(
&self,
root_folder_id: Option<&str>,
criteria: &SearchCriteriaDto,
user_id: &str,
) -> Result<(Vec<File>, usize), DomainError> {
// Default: delegate to paginated search (non-recursive fallback)
self.search_files_paginated(root_folder_id, criteria, user_id)
.await
}
/// Count files matching the search criteria (without loading them).
///
/// Used for pagination metadata without fetching the actual files.
+66 -264
View File
@@ -15,7 +15,8 @@ use crate::application::ports::inbound::SearchUseCase;
use crate::application::ports::outbound::FolderStoragePort;
use crate::application::ports::storage_ports::FileReadPort;
use crate::common::errors::Result;
use crate::domain::errors::DomainError;
use crate::domain::entities::folder::Folder;
use std::hash::{Hash, Hasher};
/**
* High-performance search service implementation for files and folders.
@@ -25,7 +26,7 @@ use crate::domain::errors::DomainError;
* The frontend acts as a thin rendering client only.
*
* Features:
* - Parallel recursive folder traversal using tokio tasks
* - Single-query recursive subtree search via PostgreSQL ltree
* - Relevance scoring (exact match > starts-with > contains)
* - Content categorization and icon mapping
* - Multiple sort options (relevance, name, date, size)
@@ -41,17 +42,7 @@ pub struct SearchService {
folder_repository: Arc<dyn FolderStoragePort>,
/// Lock-free concurrent cache with automatic TTL and LRU eviction (moka)
search_cache: moka::sync::Cache<SearchCacheKey, SearchResultsDto>,
}
/// Key for the search cache
#[derive(Debug, Clone, PartialEq, Eq, Hash)]
struct SearchCacheKey {
/// Serialized representation of the search criteria
criteria_hash: String,
/// User ID (to isolate searches between users)
user_id: String,
search_cache: moka::sync::Cache<u64, SearchResultsDto>,
}
// ─── Utility functions (pure, no self — computed on the server) ─────────
@@ -132,31 +123,21 @@ impl SearchService {
}
}
/// Creates a cache key from the search criteria.
fn create_cache_key(
&self,
criteria: &SearchCriteriaDto,
user_id: &str,
) -> Result<SearchCacheKey> {
let criteria_str = serde_json::to_string(criteria).map_err(|e| {
DomainError::internal_error(
"SearchService",
format!("Failed to serialize criteria: {}", e),
)
})?;
Ok(SearchCacheKey {
criteria_hash: criteria_str,
user_id: user_id.to_string(),
})
/// Creates a cache key from the search criteria using zero-allocation hashing.
fn create_cache_key(criteria: &SearchCriteriaDto, user_id: &str) -> u64 {
let mut hasher = std::collections::hash_map::DefaultHasher::new();
criteria.hash(&mut hasher);
user_id.hash(&mut hasher);
hasher.finish()
}
/// Attempts to retrieve results from the cache.
fn get_from_cache(&self, key: &SearchCacheKey) -> Option<SearchResultsDto> {
self.search_cache.get(key)
fn get_from_cache(&self, key: u64) -> Option<SearchResultsDto> {
self.search_cache.get(&key)
}
/// Stores results in the cache.
fn store_in_cache(&self, key: SearchCacheKey, results: SearchResultsDto) {
fn store_in_cache(&self, key: u64, results: SearchResultsDto) {
self.search_cache.insert(key, results);
}
@@ -205,81 +186,6 @@ impl SearchService {
}
}
/**
* Parallel recursive search through folders using tokio tasks.
*
* Instead of searching subfolders sequentially, we spawn a task
* per subfolder and join them all concurrently.
*/
fn search_parallel(
file_repo: Arc<dyn FileReadPort>,
folder_repo: Arc<dyn FolderStoragePort>,
current_folder_id: Option<String>,
criteria: Arc<SearchCriteriaDto>,
) -> std::pin::Pin<
Box<dyn std::future::Future<Output = Result<(Vec<FileDto>, Vec<FolderDto>)>> + Send>,
> {
Box::pin(async move {
// List files in the current folder
let files = file_repo.list_files(current_folder_id.as_deref()).await?;
let filtered_files: Vec<FileDto> = files
.into_iter()
.map(FileDto::from)
.filter(|file| passes_file_filter(file, &criteria))
.collect();
let mut all_files = filtered_files;
let mut all_folders: Vec<FolderDto> = Vec::new();
// If recursive, process subfolders in parallel
if criteria.recursive {
let folders = folder_repo
.list_folders(current_folder_id.as_deref())
.await?;
let folder_dtos: Vec<FolderDto> = folders
.into_iter()
.map(FolderDto::from)
.filter(|f| passes_folder_filter(f, &criteria))
.collect();
all_folders.extend(folder_dtos.iter().cloned());
// Spawn parallel tasks for each subfolder
let mut handles = Vec::with_capacity(folder_dtos.len());
for subfolder in &folder_dtos {
let fr = file_repo.clone();
let fdr = folder_repo.clone();
let crit = criteria.clone();
let folder_id = subfolder.id.clone();
handles.push(tokio::spawn(async move {
Self::search_parallel(fr, fdr, Some(folder_id), crit).await
}));
}
// Collect results from all parallel tasks
for handle in handles {
match handle.await {
Ok(Ok((sub_files, sub_folders))) => {
all_files.extend(sub_files);
all_folders.extend(sub_folders);
}
Ok(Err(e)) => {
tracing::warn!("Parallel search subtask error: {}", e);
}
Err(e) => {
tracing::warn!("Parallel search task join error: {}", e);
}
}
}
}
Ok((all_files, all_folders))
})
}
/// Quick suggestions search — returns up to `limit` name suggestions
/// matching the query prefix. Uses cache-friendly shallow search.
pub async fn suggest(
@@ -344,96 +250,6 @@ impl SearchService {
}
}
// ─── Standalone filter functions for use in parallel tasks ──────────────
/// Check if a file passes all filter criteria (standalone, no &self needed).
fn passes_file_filter(file: &FileDto, criteria: &SearchCriteriaDto) -> bool {
if let Some(name_query) = &criteria.name_contains
&& !file
.name
.to_lowercase()
.contains(&name_query.to_lowercase())
{
return false;
}
if let Some(file_types) = &criteria.file_types {
if let Some(extension) = file.name.split('.').next_back() {
if !file_types
.iter()
.any(|ext| ext.eq_ignore_ascii_case(extension))
{
return false;
}
} else {
return false;
}
}
if let Some(v) = criteria.created_after {
if file.created_at < v {
return false;
}
}
if let Some(v) = criteria.created_before {
if file.created_at > v {
return false;
}
}
if let Some(v) = criteria.modified_after {
if file.modified_at < v {
return false;
}
}
if let Some(v) = criteria.modified_before {
if file.modified_at > v {
return false;
}
}
if let Some(v) = criteria.min_size {
if file.size < v {
return false;
}
}
if let Some(v) = criteria.max_size {
if file.size > v {
return false;
}
}
true
}
/// Check if a folder passes all filter criteria (standalone).
fn passes_folder_filter(folder: &FolderDto, criteria: &SearchCriteriaDto) -> bool {
if let Some(name_query) = &criteria.name_contains
&& !folder
.name
.to_lowercase()
.contains(&name_query.to_lowercase())
{
return false;
}
if let Some(v) = criteria.created_after {
if folder.created_at < v {
return false;
}
}
if let Some(v) = criteria.created_before {
if folder.created_at > v {
return false;
}
}
if let Some(v) = criteria.modified_after {
if folder.modified_at < v {
return false;
}
}
if let Some(v) = criteria.modified_before {
if folder.modified_at > v {
return false;
}
}
true
}
// ─── SearchUseCase trait implementation ──────────────────────────────────
#[async_trait]
@@ -461,11 +277,9 @@ impl SearchUseCase for SearchService {
let user_id = "default-user";
// Try to get from cache
let cache_key = self.create_cache_key(&criteria, user_id).ok();
if let Some(ref key) = cache_key {
if let Some(cached_results) = self.get_from_cache(key) {
return Ok(cached_results);
}
let cache_key = Self::create_cache_key(&criteria, user_id);
if let Some(cached_results) = self.get_from_cache(cache_key) {
return Ok(cached_results);
}
let query = criteria.name_contains.as_deref().unwrap_or("");
@@ -568,99 +382,89 @@ impl SearchUseCase for SearchService {
criteria.sort_by.clone(),
);
if let Some(key) = cache_key {
self.store_in_cache(key, search_results.clone());
}
self.store_in_cache(cache_key, search_results.clone());
return Ok(search_results);
}
// ── Recursive search (fallback to original parallel approach) ──
// For recursive searches, we need to traverse all subfolders
// This is less efficient but necessary for recursive functionality
let criteria_arc = Arc::new(criteria.clone());
let (found_files, found_folders): (Vec<FileDto>, Vec<FolderDto>) = Self::search_parallel(
self.file_repository.clone(),
self.folder_repository.clone(),
criteria.folder_id.clone(),
criteria_arc,
)
.await?;
// ── Recursive search via ltree (single SQL query per entity type) ──
// Uses PostgreSQL ltree GiST index to find all files and folders
// in the subtree in O(1) queries, replacing the O(N) spawn-per-folder
// approach that could saturate the connection pool.
let (found_files, total_file_count) = self
.file_repository
.search_files_in_subtree(criteria.folder_id.as_deref(), &criteria, user_id)
.await?;
// ── Enrich results with server-computed metadata ──
let mut enriched_files: Vec<SearchFileResultDto> = found_files
// Get descendant folders (ltree-based when folder_id is specified)
let found_folders: Vec<Folder> = if let Some(ref fid) = criteria.folder_id {
self.folder_repository
.list_descendant_folders(fid, criteria.name_contains.as_deref(), user_id)
.await?
} else {
// No folder scope → search all user folders
let all_folders = self.folder_repository.list_folders(None).await?;
if let Some(ref name_query) = criteria.name_contains {
let q = name_query.to_lowercase();
all_folders
.into_iter()
.filter(|f| f.name().to_lowercase().contains(&q))
.collect()
} else {
all_folders
}
};
// ── Convert to DTOs and enrich with server-computed metadata ──
let file_dtos: Vec<FileDto> = found_files.into_iter().map(FileDto::from).collect();
let enriched_files: Vec<SearchFileResultDto> = file_dtos
.iter()
.map(|f| Self::enrich_file(f, query))
.collect();
let mut enriched_folders: Vec<SearchFolderResultDto> = found_folders
let folder_dtos: Vec<FolderDto> = found_folders.into_iter().map(FolderDto::from).collect();
let mut enriched_folders: Vec<SearchFolderResultDto> = folder_dtos
.iter()
.map(|f| Self::enrich_folder(f, query))
.collect();
// ── Sort based on criteria.sort_by ──
// ── Sort folders (files already sorted by SQL ORDER BY) ──
match criteria.sort_by.as_str() {
"name" => {
enriched_files.sort_by(|a, b| a.name.to_lowercase().cmp(&b.name.to_lowercase()));
enriched_folders.sort_by(|a, b| a.name.to_lowercase().cmp(&b.name.to_lowercase()));
enriched_folders
.sort_by(|a, b| a.name.to_lowercase().cmp(&b.name.to_lowercase()));
}
"name_desc" => {
enriched_files.sort_by(|a, b| b.name.to_lowercase().cmp(&a.name.to_lowercase()));
enriched_folders.sort_by(|a, b| b.name.to_lowercase().cmp(&a.name.to_lowercase()));
enriched_folders
.sort_by(|a, b| b.name.to_lowercase().cmp(&a.name.to_lowercase()));
}
"date" => {
enriched_files.sort_by(|a, b| a.modified_at.cmp(&b.modified_at));
enriched_folders.sort_by(|a, b| a.modified_at.cmp(&b.modified_at));
}
"date_desc" => {
enriched_files.sort_by(|a, b| b.modified_at.cmp(&a.modified_at));
enriched_folders.sort_by(|a, b| b.modified_at.cmp(&a.modified_at));
}
"size" => {
enriched_files.sort_by(|a, b| a.size.cmp(&b.size));
}
"size_desc" => {
enriched_files.sort_by(|a, b| b.size.cmp(&a.size));
}
_ => {
// "relevance" (default) — highest relevance first, tie-break by date desc
enriched_files.sort_by(|a, b| {
b.relevance_score
.cmp(&a.relevance_score)
.then_with(|| b.modified_at.cmp(&a.modified_at))
});
enriched_folders.sort_by(|a, b| {
b.relevance_score
.cmp(&a.relevance_score)
.then_with(|| b.modified_at.cmp(&a.modified_at))
});
enriched_folders.sort_by(|a, b| b.relevance_score.cmp(&a.relevance_score));
}
}
// ── Pagination ──
let total_count = enriched_files.len() + enriched_folders.len();
// ── Pagination (folders first, then files) ──
let folder_count = enriched_folders.len();
let total_count = total_file_count + folder_count;
let start_idx = criteria.offset.min(total_count);
let end_idx = (criteria.offset + criteria.limit).min(total_count);
let paginated_items: Vec<(bool, usize)> = (start_idx..end_idx)
.map(|i| {
if i < enriched_folders.len() {
(true, i) // folder
} else {
(false, i - enriched_folders.len()) // file
}
})
.collect();
let mut paginated_folders = Vec::new();
let mut paginated_files = Vec::new();
for (is_folder, idx) in paginated_items {
if is_folder {
if idx < enriched_folders.len() {
paginated_folders.push(enriched_folders[idx].clone());
for i in start_idx..end_idx {
if i < folder_count {
paginated_folders.push(enriched_folders[i].clone());
} else {
let file_idx = i - folder_count;
if file_idx < enriched_files.len() {
paginated_files.push(enriched_files[file_idx].clone());
}
} else if idx < enriched_files.len() {
paginated_files.push(enriched_files[idx].clone());
}
}
@@ -677,9 +481,7 @@ impl SearchUseCase for SearchService {
);
// Store in cache
if let Some(key) = cache_key {
self.store_in_cache(key, search_results.clone());
}
self.store_in_cache(cache_key, search_results.clone());
Ok(search_results)
}
@@ -103,4 +103,21 @@ pub trait FolderRepository: Send + Sync + 'static {
/// Creates a root-level home folder for a user.
/// This is used during user registration to create the user's personal folder.
async fn create_home_folder(&self, user_id: &str, name: String) -> Result<Folder, DomainError>;
/// Lists all descendant folders in a subtree (ltree-based).
///
/// Returns all folders whose lpath is a descendant of the given folder's
/// lpath. Used for recursive search — O(1) SQL via GiST index instead
/// of O(N) recursive traversal.
///
/// The default implementation returns an empty vec (stubs / mocks).
async fn list_descendant_folders(
&self,
folder_id: &str,
name_contains: Option<&str>,
user_id: &str,
) -> Result<Vec<Folder>, DomainError> {
let _ = (folder_id, name_contains, user_id);
Ok(Vec::new())
}
}
@@ -617,6 +617,215 @@ impl FileReadPort for FileBlobReadRepository {
Ok((files, total_count))
}
/// Recursive subtree search using ltree — O(1) SQL queries.
///
/// When `root_folder_id` is Some, JOINs `storage.files` with
/// `storage.folders` using `lpath <@ (root's lpath)` to find all
/// files in the entire subtree in a single indexed query.
/// When None, searches all files for the user (no ltree needed).
///
/// All filter criteria (name, file types, dates, sizes) and sorting
/// are pushed down to SQL for maximum efficiency.
async fn search_files_in_subtree(
&self,
root_folder_id: Option<&str>,
criteria: &SearchCriteriaDto,
user_id: &str,
) -> Result<(Vec<File>, usize), DomainError> {
// When no root folder specified, delegate to existing paginated search
// which already handles "all files for user" efficiently
let root_id = match root_folder_id {
None => {
return self
.search_files_paginated(None, criteria, user_id)
.await;
}
Some(id) => id,
};
let offset = criteria.offset as i64;
let limit = criteria.limit as i64;
// Determine sort order
let (order_column, order_dir) = match criteria.sort_by.as_str() {
"name" => ("fi.name", "ASC"),
"name_desc" => ("fi.name", "DESC"),
"date" => ("fi.updated_at", "ASC"),
"date_desc" => ("fi.updated_at", "DESC"),
"size" => ("fi.size", "ASC"),
"size_desc" => ("fi.size", "DESC"),
_ => ("fi.name", "ASC"),
};
// ── Build dynamic WHERE clauses ──
let mut conditions = Vec::new();
let mut bind_idx = 3u32; // $1 = user_id, $2 = root_folder_id
conditions.push("fi.is_trashed = false".to_string());
conditions.push("fi.user_id = $1".to_string());
// ltree subtree match: folder's lpath is a descendant of root's lpath
conditions.push(format!(
"fo.lpath <@ (SELECT lpath FROM storage.folders WHERE id = $2::uuid)"
));
if let Some(name) = &criteria.name_contains {
if !name.is_empty() {
bind_idx += 1;
conditions.push(format!("LOWER(fi.name) LIKE ${bind_idx}"));
}
}
if let Some(types) = &criteria.file_types {
if !types.is_empty() {
bind_idx += 1;
// Match file extension against ANY of the provided types
conditions.push(format!(
"LOWER(SUBSTRING(fi.name FROM '\\.([^.]+)$')) = ANY(${bind_idx})"
));
}
}
if criteria.created_after.is_some() {
bind_idx += 1;
conditions.push(format!(
"EXTRACT(EPOCH FROM fi.created_at)::bigint >= ${bind_idx}"
));
}
if criteria.created_before.is_some() {
bind_idx += 1;
conditions.push(format!(
"EXTRACT(EPOCH FROM fi.created_at)::bigint <= ${bind_idx}"
));
}
if criteria.modified_after.is_some() {
bind_idx += 1;
conditions.push(format!(
"EXTRACT(EPOCH FROM fi.updated_at)::bigint >= ${bind_idx}"
));
}
if criteria.modified_before.is_some() {
bind_idx += 1;
conditions.push(format!(
"EXTRACT(EPOCH FROM fi.updated_at)::bigint <= ${bind_idx}"
));
}
if criteria.min_size.is_some() {
bind_idx += 1;
conditions.push(format!("fi.size >= ${bind_idx}"));
}
if criteria.max_size.is_some() {
bind_idx += 1;
conditions.push(format!("fi.size <= ${bind_idx}"));
}
let where_clause = conditions.join(" AND ");
let limit_bind = bind_idx + 1;
let offset_bind = bind_idx + 2;
// ── Count query ──
let count_sql = format!(
"SELECT COUNT(*) FROM storage.files fi \
JOIN storage.folders fo ON fo.id = fi.folder_id \
WHERE {where_clause}"
);
// ── Data query ──
let data_sql = format!(
"SELECT fi.id::text, fi.name, fi.folder_id::text, fo.path, \
fi.size, fi.mime_type, \
EXTRACT(EPOCH FROM fi.created_at)::bigint, \
EXTRACT(EPOCH FROM fi.updated_at)::bigint, \
fi.user_id::text \
FROM storage.files fi \
JOIN storage.folders fo ON fo.id = fi.folder_id \
WHERE {where_clause} \
ORDER BY {order_column} {order_dir} \
LIMIT ${limit_bind} OFFSET ${offset_bind}"
);
// ── Bind parameters dynamically ──
// Count query
let mut count_query = sqlx::query_scalar::<_, i64>(&count_sql)
.bind(user_id)
.bind(root_id);
let mut data_query = sqlx::query_as::<_, (
String, String, Option<String>, Option<String>,
i64, String, i64, i64, Option<String>,
)>(&data_sql)
.bind(user_id)
.bind(root_id);
// Bind optional parameters in the same order as the conditions
if let Some(name) = &criteria.name_contains {
if !name.is_empty() {
let pattern = format!("%{}%", name.to_lowercase());
count_query = count_query.bind(pattern.clone());
data_query = data_query.bind(pattern);
}
}
if let Some(types) = &criteria.file_types {
if !types.is_empty() {
let lower_types: Vec<String> =
types.iter().map(|t| t.to_lowercase()).collect();
count_query = count_query.bind(lower_types.clone());
data_query = data_query.bind(lower_types);
}
}
if let Some(v) = criteria.created_after {
count_query = count_query.bind(v as i64);
data_query = data_query.bind(v as i64);
}
if let Some(v) = criteria.created_before {
count_query = count_query.bind(v as i64);
data_query = data_query.bind(v as i64);
}
if let Some(v) = criteria.modified_after {
count_query = count_query.bind(v as i64);
data_query = data_query.bind(v as i64);
}
if let Some(v) = criteria.modified_before {
count_query = count_query.bind(v as i64);
data_query = data_query.bind(v as i64);
}
if let Some(v) = criteria.min_size {
count_query = count_query.bind(v as i64);
data_query = data_query.bind(v as i64);
}
if let Some(v) = criteria.max_size {
count_query = count_query.bind(v as i64);
data_query = data_query.bind(v as i64);
}
// Bind LIMIT / OFFSET (data_query only)
data_query = data_query.bind(limit).bind(offset);
// ── Execute ──
let total_count: i64 = count_query
.fetch_one(self.pool.as_ref())
.await
.map_err(|e| {
DomainError::internal_error("FileBlobRead", format!("subtree count: {e}"))
})?;
let rows = data_query
.fetch_all(self.pool.as_ref())
.await
.map_err(|e| {
DomainError::internal_error("FileBlobRead", format!("subtree search: {e}"))
})?;
let files = rows
.into_iter()
.map(|(id, name, fid, fpath, size, mime, ca, ma, uid)| {
Self::row_to_file(id, name, fid, fpath, size, mime, ca, ma, uid)
})
.collect::<Result<Vec<_>, _>>()
.map_err(|e| {
DomainError::internal_error("FileBlobRead", format!("subtree mapping: {e}"))
})?;
Ok((files, total_count as usize))
}
/// Count files matching the search criteria (without loading them).
async fn count_files(
&self,
@@ -624,8 +833,6 @@ impl FileReadPort for FileBlobReadRepository {
criteria: &SearchCriteriaDto,
user_id: &str,
) -> Result<usize, DomainError> {
// Simplified count - delegates to search_files_paginated for actual counting
// In a full implementation, this would be a separate optimized query
let (_, count) = self
.search_files_paginated(folder_id, criteria, user_id)
.await?;
@@ -677,6 +677,63 @@ impl FolderRepository for FolderDbRepository {
}
}
}
/// Lists all descendant folders in a subtree using ltree GiST index.
///
/// Single SQL query: `fo.lpath <@ (root's lpath)` fetches the entire
/// subtree in one indexed scan. Optional name filter is pushed to SQL.
async fn list_descendant_folders(
&self,
folder_id: &str,
name_contains: Option<&str>,
user_id: &str,
) -> Result<Vec<Folder>, DomainError> {
let (where_extra, name_pattern) = match name_contains {
Some(name) if !name.is_empty() => {
(" AND LOWER(fo.name) LIKE $3", Some(format!("%{}%", name.to_lowercase())))
}
_ => ("", None),
};
let sql = format!(
"SELECT fo.id::text, fo.name, fo.path, fo.parent_id::text, \
fo.user_id::text, \
EXTRACT(EPOCH FROM fo.created_at)::bigint, \
EXTRACT(EPOCH FROM fo.updated_at)::bigint \
FROM storage.folders fo \
WHERE fo.user_id = $1 \
AND fo.is_trashed = false \
AND fo.lpath <@ (SELECT lpath FROM storage.folders WHERE id = $2::uuid) \
AND fo.id != $2::uuid \
{where_extra} \
ORDER BY fo.name"
);
let rows: Vec<(String, String, String, Option<String>, Option<String>, i64, i64)> =
if let Some(ref pattern) = name_pattern {
sqlx::query_as(&sql)
.bind(user_id)
.bind(folder_id)
.bind(pattern)
.fetch_all(self.pool())
.await
} else {
sqlx::query_as(&sql)
.bind(user_id)
.bind(folder_id)
.fetch_all(self.pool())
.await
}
.map_err(|e| {
DomainError::internal_error("FolderDb", format!("descendant search: {e}"))
})?;
rows.into_iter()
.map(|(id, name, path, pid, uid, ca, ma)| {
Self::row_to_folder(id, name, path, pid, uid, ca, ma)
})
.collect()
}
}
// ── Extra helpers for blob-storage bootstrap ──
+10 -10
View File
@@ -515,8 +515,8 @@ async fn handle_put(
let file_upload_service = &state.applications.file_upload_service;
// Check if path is empty (root folder)
if path.is_empty() || path == \"/\" {
return Err(AppError::bad_request(\"Cannot PUT to root folder\"));
if path.is_empty() || path == "/" {
return Err(AppError::bad_request("Cannot PUT to root folder"));
}
// Hard upload size limit from config
@@ -527,17 +527,17 @@ async fn handle_put(
.headers()
.get(header::CONTENT_TYPE)
.and_then(|v| v.to_str().ok())
.unwrap_or(\"application/octet-stream\")
.unwrap_or("application/octet-stream")
.to_string();
// ── Streaming spool: body → temp file + incremental hash ──
let temp_file = tempfile::NamedTempFile::new()
.map_err(|e| AppError::internal_error(format!(\"Failed to create temp file: {}\", e)))?;
.map_err(|e| AppError::internal_error(format!("Failed to create temp file: {}", e)))?;
let temp_path = temp_file.path().to_path_buf();
let mut file = tokio::fs::File::create(&temp_path)
.await
.map_err(|e| AppError::internal_error(format!(\"Failed to open temp file: {}\", e)))?;
.map_err(|e| AppError::internal_error(format!("Failed to open temp file: {}", e)))?;
let mut hasher = Sha256::new();
let mut total_bytes: usize = 0;
@@ -545,7 +545,7 @@ async fn handle_put(
while let Some(frame_result) = stream.next().await {
let frame = frame_result
.map_err(|e| AppError::bad_request(format!(\"Failed to read request body: {}\", e)))?;
.map_err(|e| AppError::bad_request(format!("Failed to read request body: {}", e)))?;
if let Some(chunk) = frame.data_ref() {
total_bytes += chunk.len();
if total_bytes > max_upload {
@@ -553,18 +553,18 @@ async fn handle_put(
drop(file);
let _ = tokio::fs::remove_file(&temp_path).await;
return Err(AppError::payload_too_large(format!(
\"Upload exceeds maximum size of {} bytes\",
"Upload exceeds maximum size of {} bytes",
max_upload
)));
}
hasher.update(chunk);
file.write_all(chunk)
.await
.map_err(|e| AppError::internal_error(format!(\"Failed to write to temp file: {}\", e)))?;
.map_err(|e| AppError::internal_error(format!("Failed to write to temp file: {}", e)))?;
}
}
file.flush().await
.map_err(|e| AppError::internal_error(format!(\"Failed to flush temp file: {}\", e)))?;
.map_err(|e| AppError::internal_error(format!("Failed to flush temp file: {}", e)))?;
drop(file);
let hash = hex::encode(hasher.finalize());
@@ -589,7 +589,7 @@ async fn handle_put(
.body(Body::empty())
.unwrap()),
Err(e) => Err(AppError::internal_error(format!(
\"Failed to put file: {}\",
"Failed to put file: {}",
e
))),
}