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205
doc_news/fulltext_search_optional.sql
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205
doc_news/fulltext_search_optional.sql
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-- 可选的全文搜索功能添加脚本
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-- 此脚本应在主数据库结构成功创建后单独执行
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-- 如果遇到IMMUTABLE函数错误，可以跳过此脚本
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-- ===================================================================
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-- 重要提示：
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-- 1. 请确保主数据库结构已成功创建
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-- 2. 如果此脚本执行失败，不会影响系统的基本功能
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-- 3. 可以使用简单的LIKE/ILIKE查询作为替代方案
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-- ===================================================================
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SELECT 'Starting optional full-text search setup...' as status;
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-- ===================================================================
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-- 方案1: 尝试创建简单的全文搜索索引
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-- ===================================================================
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DO $$
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BEGIN
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BEGIN
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-- 尝试创建全文搜索索引
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CREATE INDEX IF NOT EXISTS idx_contents_title_fts
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ON public.ak_contents USING gin(to_tsvector('simple', title));
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RAISE NOTICE '✓ 标题全文搜索索引创建成功';
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EXCEPTION
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WHEN OTHERS THEN
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RAISE NOTICE '⚠ 标题全文搜索索引创建失败: %', SQLERRM;
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END;
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BEGIN
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CREATE INDEX IF NOT EXISTS idx_contents_content_fts
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ON public.ak_contents USING gin(to_tsvector('simple', content));
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RAISE NOTICE '✓ 内容全文搜索索引创建成功';
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EXCEPTION
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WHEN OTHERS THEN
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RAISE NOTICE '⚠ 内容全文搜索索引创建失败: %', SQLERRM;
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END;
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END
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$$;
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-- ===================================================================
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-- 方案2: 如果方案1失败，尝试创建IMMUTABLE函数包装器
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-- ===================================================================
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DO $$
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BEGIN
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-- 只有在方案1的索引不存在时才尝试方案2
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IF NOT EXISTS (
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SELECT 1 FROM pg_class WHERE relname = 'idx_contents_title_fts'
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) THEN
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BEGIN
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-- 创建IMMUTABLE函数
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CREATE OR REPLACE FUNCTION public.safe_title_to_tsvector(title TEXT)
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RETURNS tsvector
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LANGUAGE sql IMMUTABLE STRICT
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AS $function$
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SELECT to_tsvector('simple', COALESCE(title, ''));
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$function$;
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-- 使用IMMUTABLE函数创建索引
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CREATE INDEX IF NOT EXISTS idx_contents_title_safe_fts
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ON public.ak_contents USING gin(safe_title_to_tsvector(title));
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RAISE NOTICE '✓ 使用IMMUTABLE函数的标题索引创建成功';
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EXCEPTION
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WHEN OTHERS THEN
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RAISE NOTICE '⚠ IMMUTABLE函数方案也失败: %', SQLERRM;
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END;
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END IF;
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IF NOT EXISTS (
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SELECT 1 FROM pg_class WHERE relname = 'idx_contents_content_fts'
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) THEN
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BEGIN
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CREATE OR REPLACE FUNCTION public.safe_content_to_tsvector(content TEXT)
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RETURNS tsvector
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LANGUAGE sql IMMUTABLE STRICT
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AS $function$
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SELECT to_tsvector('simple', COALESCE(content, ''));
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$function$;
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CREATE INDEX IF NOT EXISTS idx_contents_content_safe_fts
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ON public.ak_contents USING gin(safe_content_to_tsvector(content));
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RAISE NOTICE '✓ 使用IMMUTABLE函数的内容索引创建成功';
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EXCEPTION
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WHEN OTHERS THEN
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RAISE NOTICE '⚠ IMMUTABLE函数方案也失败: %', SQLERRM;
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END;
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END IF;
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END
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$$;
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-- ===================================================================
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-- 方案3: 预计算搜索向量列 (最佳性能，如果上述方案都失败)
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-- ===================================================================
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DO $$
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BEGIN
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-- 只有在前面的索引都不存在时才尝试方案3
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IF NOT EXISTS (
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SELECT 1 FROM pg_class
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WHERE relname IN ('idx_contents_title_fts', 'idx_contents_title_safe_fts')
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) THEN
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BEGIN
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RAISE NOTICE '尝试方案3: 预计算搜索向量列...';
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-- 添加搜索向量列
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IF NOT EXISTS (
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SELECT 1 FROM information_schema.columns
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WHERE table_name = 'ak_contents' AND column_name = 'search_vector'
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) THEN
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ALTER TABLE public.ak_contents ADD COLUMN search_vector tsvector;
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END IF;
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-- 创建更新函数
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CREATE OR REPLACE FUNCTION update_search_vector()
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RETURNS trigger AS $trigger$
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BEGIN
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NEW.search_vector :=
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setweight(to_tsvector('simple', COALESCE(NEW.title, '')), 'A') ||
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setweight(to_tsvector('simple', COALESCE(NEW.content, '')), 'B');
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RETURN NEW;
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END;
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$trigger$ LANGUAGE plpgsql;
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-- 创建触发器
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DROP TRIGGER IF EXISTS trig_update_search_vector ON public.ak_contents;
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CREATE TRIGGER trig_update_search_vector
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BEFORE INSERT OR UPDATE ON public.ak_contents
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FOR EACH ROW EXECUTE FUNCTION update_search_vector();
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-- 更新现有数据
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UPDATE public.ak_contents SET
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search_vector = setweight(to_tsvector('simple', COALESCE(title, '')), 'A') ||
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setweight(to_tsvector('simple', COALESCE(content, '')), 'B')
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WHERE search_vector IS NULL;
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-- 在搜索向量列上创建索引
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CREATE INDEX IF NOT EXISTS idx_contents_search_vector
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ON public.ak_contents USING gin(search_vector);
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RAISE NOTICE '✓ 预计算搜索向量方案创建成功';
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EXCEPTION
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WHEN OTHERS THEN
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RAISE NOTICE '⚠ 预计算搜索向量方案失败: %', SQLERRM;
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END;
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END IF;
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END
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$$;
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-- ===================================================================
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-- 验证和使用说明
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-- ===================================================================
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-- 检查哪些全文搜索索引创建成功了
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SELECT 'Checking created full-text search indexes...' as status;
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SELECT
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indexname,
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indexdef,
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'✓ Available' as status
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FROM pg_indexes
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WHERE schemaname = 'public'
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AND (indexname LIKE '%_fts' OR indexname LIKE '%search_vector%');
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-- ===================================================================
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-- 查询示例
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-- ===================================================================
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SELECT 'Full-text search query examples:' as info;
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-- 方案1和2的查询方式
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/*
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-- 如果创建了 idx_contents_title_fts 或 idx_contents_title_safe_fts
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SELECT id, title FROM ak_contents
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WHERE to_tsvector('simple', title) @@ to_tsquery('simple', 'AI');
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-- 或者使用IMMUTABLE函数（如果存在）
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SELECT id, title FROM ak_contents
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WHERE safe_title_to_tsvector(title) @@ to_tsquery('simple', 'AI');
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*/
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-- 方案3的查询方式
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/*
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-- 如果创建了search_vector列和索引
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SELECT id, title, ts_rank(search_vector, query) as rank
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FROM ak_contents, to_tsquery('simple', 'AI') query
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WHERE search_vector @@ query
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ORDER BY rank DESC;
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*/
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-- 备用方案：简单文本搜索（总是可用）
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/*
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SELECT id, title FROM ak_contents WHERE title ILIKE '%AI%';
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SELECT id, title FROM ak_contents WHERE content ILIKE '%technology%';
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SELECT id, title FROM ak_contents
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WHERE title ILIKE '%AI%' OR content ILIKE '%AI%'
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ORDER BY published_at DESC;
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*/
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SELECT '✅ Optional full-text search setup completed!' as final_status;
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SELECT 'Check the messages above to see which search methods are available.' as note;
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