test(2meet-data-optimizer): live tools no longer flush the object cache

- mut.php called wp_cache_flush() after each write and qbench.php
  wp_cache_flush_group() before each run; with Redis Object Cache's selective
  flush both are one server-side Lua scan over the site's keys, which blocked
  the shared Redis for 5–20 s on dev36 (3 M keys) and broke other sites'
  requests (BUSY / read errors)
- mut.php clears the touched post or user caches plus the runtime cache;
  qbench.php bumps the routed count version (posts' last_changed before 1.3.0)
- tests/ is not packaged; plugin code does not flush

CHANGELOG.md

@@ -22,7 +22,13 @@ Versioning follows [Semantic Versioning](https://semver.org/).
   索引。filter：`tmdo_schema_ddl_allowed`。dev36 90 萬列加兩個索引約 4.7 s。（PR-090a）
 - **路由搜尋的 found rows**：帶 `post__not_in` 的查詢（HivePress 每頁送一組隨機排除清單）
   改為「不含排除條件的 COUNT（快取）」減去「排除清單中符合條件的篇數（主鍵查詢）」，結果
-  精確，快取不再被打散。dev36 關鍵字 + 價格：首次 5.25 s、之後 3.2 s（原生 3.35 s）。（PR-091）
+  精確，快取不再被打散。（PR-091）快取 key 另外去掉 wpdb 替 `%` 產生的 placeholder escape
+  （每個請求不同，關鍵字搜尋原本永遠不命中，也就是 2.2 驗收「關鍵字 + 篩選 routed 較慢」的
+  原因）（PR-116）；計數改跟隨自有的 `tmdo_posts` last_changed（文章儲存／刪除、經 Hook Bus
+  的扁平寫入）與 terms 的 last_changed，不再跟隨 posts 的 last_changed——任何 post meta 寫入
+  都會推動它，dev36 的 Blocksy 佈景在爬蟲瀏覽每篇 listing 時都寫一筆 meta，快取幾秒就失效
+  （PR-117）。dev36 關鍵字 + 價格 routed 9.8 s → 首次後約 5.5 s（原生 5.0–6.2 s，剩餘為
+  WordPress 核心的 LIKE 全表掃描）。
 - `POST /wpdo/v1/listings/{id}/view` 被限流擋下時，`wpdo_rl_stats` 改為 1/10 抽樣寫入
   （每次 +10），匿名請求不再 1:1 放大成 option 寫入。（PR-094）
 - `TMDO_Logger::info()` 只在 `WP_DEBUG_LOG` 時寫 error_log（filter `tmdo_log_info`）；

readme.txt

@@ -109,7 +109,7 @@ The Classifier tab analyzes your existing `wp_postmeta` data (access frequency,
 
 = 1.3.0 =
 * Declared flat-table indexes are added only from WP-CLI or WP-Cron, one process at a time (MySQL GET_LOCK); web requests schedule `tmdo_ensure_group_indexes`, and doctor lists indexes not added yet
-* Routed searches with post__not_in count from a cached base count minus the excluded posts (HivePress keyword + price search no longer slower than native)
+* Routed searches with post__not_in count from a cached base count minus the excluded posts; the cache key ignores wpdb's per-request placeholder escape and follows post saves and managed-key writes only, not every post meta write (HivePress keyword + price search no longer slower than native)
 * Rate-limited view requests sample their statistics (1 in 10) instead of writing an option each time
 * Logger info / notice lines only with WP_DEBUG_LOG (filter `tmdo_log_info`)
 * The public listings REST output withholds email, phone, address and IP fields even when declared public

tests/live/tools/mut.php

@@ -7,7 +7,8 @@ $mode = TMDO_Mode_Manager::get( 'post' ) . '/' . TMDO_Mode_Manager::get( 'user'
 function nat( $t, $id, $k ) { global $wpdb; $mt = $t === 'user' ? $wpdb->usermeta : $wpdb->postmeta; $c = $t === 'user' ? 'user_id' : 'post_id'; $v = $wpdb->get_col( $wpdb->prepare( "SELECT meta_value FROM $mt WHERE $c=%d AND meta_key=%s", $id, $k ) ); return $v ? implode( '|', $v ) : '∅'; }
 function flat( $t, $g, $id, $k ) { global $wpdb; $c = $t === 'user' ? 'user_id' : 'post_id'; $v = $wpdb->get_row( $wpdb->prepare( "SELECT `$k` v FROM {$wpdb->prefix}wpdo_{$t}_{$g} WHERE $c=%d", $id ) ); return $v ? ( $v->v ?? 'NULL' ) : 'NO-ROW'; }
 function row( $name, $vals ) { printf( "%-44s %s\n", $name, implode( '  ', array_map( fn( $k, $v ) => "$k=" . ( is_scalar( $v ) || is_null( $v ) ? var_export( $v, true ) : json_encode( $v ) ), array_keys( $vals ), $vals ) ) ); }
-function clear_caches( $id ) { wp_cache_flush(); clean_post_cache( $id ); }
+// Never wp_cache_flush(): with Redis Object Cache selective flush it is one server-side scan that blocks Redis for every site.
+function clear_caches( $id ) { clean_post_cache( $id ); wp_cache_flush_runtime(); }
 echo "== mode post/user = $mode\n";
 
 // T1: HivePress model update of a listing price.
@@ -42,12 +43,12 @@ row( "T5 delete_post_meta hp_featured", array( 'native' => nat( 'post', $lid, 'h
 
 // T6: user first_name via wp_update_user.
 $uid = (int) $wpdb->get_var( "SELECT ID FROM {$wpdb->users} WHERE user_login LIKE 's36v_B1p1_%' ORDER BY ID LIMIT 1" );
-$fn = 'Fn' . mt_rand( 100, 999 ); wp_update_user( array( 'ID' => $uid, 'first_name' => $fn ) ); wp_cache_flush();
+$fn = 'Fn' . mt_rand( 100, 999 ); wp_update_user( array( 'ID' => $uid, 'first_name' => $fn ) ); clean_user_cache( $uid ); wp_cache_flush_runtime();
 $u = get_userdata( $uid );
 row( "T6 user $uid first_name:=$fn", array( 'native' => nat( 'user', $uid, 'first_name' ), 'flat' => flat( 'user', 'core_profile', $uid, 'first_name' ), 'get_meta' => get_user_meta( $uid, 'first_name', true ), 'WP_User' => $u->first_name, 'wc_customer' => ( new WC_Customer( $uid ) )->get_first_name() ) );
 
 // T7: WC customer billing city via CRUD.
-$c = new WC_Customer( $uid ); $city = 'City' . mt_rand( 10, 99 ); $c->set_billing_city( $city ); $c->save(); wp_cache_flush();
+$c = new WC_Customer( $uid ); $city = 'City' . mt_rand( 10, 99 ); $c->set_billing_city( $city ); $c->save(); clean_user_cache( $uid ); wp_cache_flush_runtime();
 row( "T7 WC_Customer billing_city:=$city", array( 'native' => nat( 'user', $uid, 'billing_city' ), 'flat' => flat( 'user', 'commerce', $uid, 'billing_city' ), 'get_meta' => get_user_meta( $uid, 'billing_city', true ), 'wc_customer' => ( new WC_Customer( $uid ) )->get_billing_city() ) );
 
 // T8: delete a listing → flat row?
@@ -57,5 +58,5 @@ row( "T8 wp_delete_post $d", array( 'posts' => (int) $wpdb->get_var( "SELECT COU
 
 // T9: HP review → listing rating recompute.
 $before = get_post_meta( $lid, 'hp_rating_count', true );
-$rv = ( new Models\Review() )->fill( array( 'text' => 'mut', 'rating' => 5, 'approved' => 1, 'author' => $uid, 'author__display_name' => 'x', 'author__email' => 'x@example.test', 'listing' => $lid ) ); $rv->save(); wp_cache_flush();
+$rv = ( new Models\Review() )->fill( array( 'text' => 'mut', 'rating' => 5, 'approved' => 1, 'author' => $uid, 'author__display_name' => 'x', 'author__email' => 'x@example.test', 'listing' => $lid ) ); $rv->save(); clean_post_cache( $lid ); wp_cache_flush_runtime();
 row( "T9 add review (count was $before)", array( 'native' => nat( 'post', $lid, 'hp_rating_count' ), 'flat' => flat( 'post', 'hp_listing_core', $lid, 'hp_rating_count' ), 'hp_model' => Models\Listing::query()->get_by_id( $lid )->get_rating_count() ) );

tests/live/tools/qbench.php

@@ -40,7 +40,12 @@ foreach ( $cases as $name => $qa ) {
 	$err   = '';
 	$sql   = '';
 	for ( $i = 0; $i < $iters; $i++ ) {
-		wp_cache_flush_group( 'tmdo_found_rows' );
+		// Fresh routed counts without wp_cache_flush_group() (a Redis-blocking server-side scan).
+		if ( method_exists( 'TMDO_Post_Query_Router', 'bump_count_version' ) ) {
+			TMDO_Post_Query_Router::bump_count_version();
+		} else {
+			wp_cache_set_last_changed( 'posts' ); // Core < 1.3.0 keyed the counts on posts' last_changed.
+		}
 		$wpdb->last_error = '';
 		$t = microtime( true );
 		$q = new WP_Query( $qa + array( 'fields' => 'ids', 'cache_results' => false, 'suppress_filters' => false ) );