Krystie
29c3c6fc8a
- Add Meilisearch v1.6 service to docker-compose.yml - Create search indexer with batch and incremental indexing - Build search API with filters (category, duration, date, content type) - Add autocomplete API with trending query suggestions - Implement modern search UI with real-time autocomplete - Add db_search_queries table for tracking trending searches - Document setup and usage in docs/MEILISEARCH.md Features: - Blazing fast search (5-15ms typical) - Advanced filters and faceted search - Real-time autocomplete suggestions - Trending queries tracking - Responsive pagination - Production-ready with proper error handling
13 lines
525 B
SQL
13 lines
525 B
SQL
-- Migration: Add search queries tracking table for trending searches
|
|
|
|
CREATE TABLE IF NOT EXISTS db_search_queries (
|
|
query_id INT AUTO_INCREMENT PRIMARY KEY,
|
|
query VARCHAR(255) NOT NULL,
|
|
search_count INT DEFAULT 1,
|
|
last_searched DATETIME DEFAULT CURRENT_TIMESTAMP,
|
|
created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
|
|
UNIQUE KEY unique_query (query),
|
|
INDEX idx_search_count (search_count),
|
|
INDEX idx_last_searched (last_searched)
|
|
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
|