perf(db): 标题模糊匹配改用 % 运算符走 trigram 索引,巡检回填加部分索引,删除无用索引
- 别名 / 资源标题模糊匹配原来写 similarity(x, q) >= t,函数调用用不上 trigram 索引;改为 x % q and similarity(x, q) >= t(% 缺省阈值 0.3 不高于各处阈值,结果相同)。source_release 标题搜索 在部署规模(8440 行)从约 75 ms 降到 0.7 ms - 调度器每 15 秒的巡检回填原来整扫 scheduled_job_run:迁移 0089 加部分索引 scheduled_job_run_harvest_idx - 迁移 0089 删除没有任何查询会用到的 content_unit_air_date_idx;镜像带 pg_stat_statements 时建扩展, 没有或权限不够时跳过,不让迁移失败 - gen:types 跳过扩展自带的视图(public.pg_stat_statements) Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01Cxwgnn2pbzQ7rXv3rq7fei
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@@ -51,6 +51,10 @@ export async function generateTypesSource(db: Kysely<any>): Promise<string> {
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select table_name, column_name, data_type, udt_name, is_nullable, column_default
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from information_schema.columns
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where table_schema = current_schema() and table_name not like 'kysely_%'
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-- 扩展自带的视图(如 public.pg_stat_statements,迁移 0089)不属于应用表
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and not exists (select 1 from pg_depend d join pg_class r on r.oid = d.objid
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where d.classid = 'pg_class'::regclass and d.deptype = 'e'
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and r.relname = table_name and r.relnamespace = current_schema()::regnamespace)
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order by table_name, ordinal_position`.execute(db);
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const checks = await sql<{ table_name: string; def: string }>`
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select c.relname as table_name, pg_get_constraintdef(k.oid) as def
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