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"problemset_problem_problemset_id_350d17fb";--> statement-breakpoint +DROP INDEX "problemset_progress_problemset_id_20a9632e";--> statement-breakpoint +DROP INDEX "problemset_submission_problemset_id_85290e17";--> statement-breakpoint +DROP INDEX "problemset_submission_submission_id_78e2b807_like";--> statement-breakpoint +DROP INDEX "problemset_submission_user_id_915fc9c6";--> statement-breakpoint +DROP INDEX "reaction_problem_id_a7f3b9f3";--> statement-breakpoint +DROP INDEX "submission_contest_id_775716d5";--> statement-breakpoint +DROP INDEX "submission_problem_id_76847b55";--> statement-breakpoint +DROP INDEX "submission_user_id_3779a8c1";--> statement-breakpoint +DROP INDEX "user_achievement_user_id_b8ec7d6a";--> statement-breakpoint +DROP INDEX "user_badge_user_id_a286d718"; \ No newline at end of file diff --git a/apps/api/src/db/0013_add_filter_and_metrics_indexes.sql b/apps/api/src/db/0013_add_filter_and_metrics_indexes.sql new file mode 100644 index 0000000..996b4a4 --- 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+ }, + "policies": {}, + "checkConstraints": {}, + "isRLSEnabled": false + }, + "public.user_stat": { + "name": "user_stat", + "schema": "", + "columns": { + "id": { + "name": "id", + "type": "bigint", + "primaryKey": true, + "notNull": true, + "identity": { + "type": "byDefault", + "name": "user_stat_id_seq", + "schema": "public", + "increment": "1", + "startWith": "1", + "minValue": "1", + "maxValue": "9223372036854775807", + "cache": "1", + "cycle": false + } + }, + "metrics": { + "name": "metrics", + "type": "jsonb", + "primaryKey": false, + "notNull": true, + "default": "'{}'::jsonb" + }, + "update_time": { + "name": "update_time", + "type": "timestamp with time zone", + "primaryKey": false, + "notNull": true + }, + "user_id": { + "name": "user_id", + "type": "integer", + "primaryKey": false, + "notNull": true + } + }, + "indexes": {}, + "foreignKeys": { + "user_stat_user_id_73337fc0_fk_user_id": { + "name": "user_stat_user_id_73337fc0_fk_user_id", + "tableFrom": "user_stat", + "tableTo": "user", + "columnsFrom": [ + "user_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "cascade", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": { + "user_stat_user_id_key": { + "name": "user_stat_user_id_key", + "nullsNotDistinct": false, + "columns": [ + "user_id" + ] + } + }, + "policies": {}, + "checkConstraints": {}, + "isRLSEnabled": false + } + }, + "enums": {}, + "schemas": {}, + "sequences": {}, + "roles": {}, + "policies": {}, + "views": {}, + "_meta": { + "columns": {}, + "schemas": {}, + "tables": {} + } +} \ No newline at end of file diff --git a/apps/api/src/db/meta/_journal.json b/apps/api/src/db/meta/_journal.json index 6c84c25..0558ae2 100644 --- a/apps/api/src/db/meta/_journal.json +++ b/apps/api/src/db/meta/_journal.json @@ -85,6 +85,20 @@ "when": 1788788493497, "tag": "0011_user_lookup_indexes", "breakpoints": true + }, + { + "idx": 12, + "version": "7", + "when": 1788869393805, + "tag": "0012_drop_redundant_indexes", + "breakpoints": true + }, + { + "idx": 13, + "version": "7", + "when": 1788913334948, + "tag": "0013_add_filter_and_metrics_indexes", + "breakpoints": true } ] } \ No newline at end of file diff --git a/apps/api/src/db/schema.ts b/apps/api/src/db/schema.ts index 7912c24..51acabb 100644 --- a/apps/api/src/db/schema.ts +++ b/apps/api/src/db/schema.ts @@ -127,9 +127,10 @@ export const flowchartSubmission = pgTable("flowchart_submission", { }, (table) => [ index("flowchart_problem_time_idx").using("btree", table.problemId.asc().nullsLast().op("int4_ops"), table.createTime.asc().nullsLast().op("int4_ops")), index("flowchart_status_idx").using("btree", table.status.asc().nullsLast().op("int4_ops")), - index("flowchart_submission_id_0dbfc4f9_like").using("btree", table.id.asc().nullsLast().op("text_pattern_ops")), - index("flowchart_submission_problem_id_8551edbf").using("btree", table.problemId.asc().nullsLast().op("int4_ops")), - index("flowchart_submission_user_id_225c83e8").using("btree", table.userId.asc().nullsLast().op("int4_ops")), + // 流程图列表分页。原来是 hash join 全表再 top-N 排序（4.5ms / 551 buffers）， + // 走这条之后 0.19ms / 47。绝对值不大，但索引只要 64kB，而这张表每行带一大坨 + // jsonb，行数涨上去是线性恶化的。ASC 反向扫，理由同 submission 那几条。 + index("flowchart_create_time_idx").using("btree", table.createTime.asc().nullsLast()), index("flowchart_user_time_idx").using("btree", table.userId.asc().nullsLast().op("int4_ops"), table.createTime.asc().nullsLast().op("int4_ops")), foreignKey({ columns: [table.problemId], @@ -151,11 +152,9 @@ export const message = pgTable("message", { senderId: integer("sender_id").notNull(), submissionId: text("submission_id").notNull(), }, (table) => [ - index("message_recipient_id_2aa5dd76").using("btree", table.recipientId.asc().nullsLast().op("int4_ops")), index("message_recipient_time_idx").using("btree", table.recipientId.asc().nullsLast().op("timestamptz_ops"), table.createTime.asc().nullsLast().op("int4_ops")), index("message_sender_id_a2a2e825").using("btree", table.senderId.asc().nullsLast().op("int4_ops")), index("message_submission_id_2fdf8a47").using("btree", table.submissionId.asc().nullsLast().op("text_ops")), - index("message_submission_id_2fdf8a47_like").using("btree", table.submissionId.asc().nullsLast().op("text_pattern_ops")), foreignKey({ columns: [table.recipientId], foreignColumns: [user.id], @@ -245,7 +244,6 @@ export const problemsetProblem = pgTable("problemset_problem", { problemsetId: bigint("problemset_id", { mode: "number" }).notNull(), }, (table) => [ index("problemset_problem_problem_id_fff2d686").using("btree", table.problemId.asc().nullsLast().op("int4_ops")), - index("problemset_problem_problemset_id_350d17fb").using("btree", table.problemsetId.asc().nullsLast().op("int8_ops")), foreignKey({ columns: [table.problemId], foreignColumns: [problem.id], @@ -274,7 +272,6 @@ export const problemsetProgress = pgTable("problemset_progress", { problemsetId: bigint("problemset_id", { mode: "number" }).notNull(), userId: integer("user_id").notNull(), }, (table) => [ - index("problemset_progress_problemset_id_20a9632e").using("btree", table.problemsetId.asc().nullsLast().op("int8_ops")), index("problemset_progress_user_id_c8041a80").using("btree", table.userId.asc().nullsLast().op("int4_ops")), foreignKey({ columns: [table.problemsetId], @@ -302,10 +299,7 @@ export const problemsetSubmission = pgTable("problemset_submission", { index("problemset__problem_22f053_idx").using("btree", table.problemsetId.asc().nullsLast().op("int8_ops"), table.problemId.asc().nullsLast().op("int8_ops")), index("problemset__user_id_2f1501_idx").using("btree", table.userId.asc().nullsLast().op("int4_ops")), index("problemset_submission_problem_id_5629b105").using("btree", table.problemId.asc().nullsLast().op("int4_ops")), - index("problemset_submission_problemset_id_85290e17").using("btree", table.problemsetId.asc().nullsLast().op("int8_ops")), index("problemset_submission_submission_id_78e2b807").using("btree", table.submissionId.asc().nullsLast().op("text_ops")), - index("problemset_submission_submission_id_78e2b807_like").using("btree", table.submissionId.asc().nullsLast().op("text_pattern_ops")), - index("problemset_submission_user_id_915fc9c6").using("btree", table.userId.asc().nullsLast().op("int4_ops")), foreignKey({ columns: [table.problemId], foreignColumns: [problem.id], @@ -335,7 +329,6 @@ export const reaction = pgTable("reaction", { problemId: integer("problem_id").notNull(), userId: integer("user_id").notNull(), }, (table) => [ - index("reaction_problem_id_a7f3b9f3").using("btree", table.problemId.asc().nullsLast().op("int4_ops")), index("reaction_problem_type_idx").using("btree", table.problemId.asc().nullsLast().op("int4_ops"), table.type.asc().nullsLast().op("int4_ops")), index("reaction_user_id_cfa7f469").using("btree", table.userId.asc().nullsLast().op("int4_ops")), foreignKey({ @@ -397,8 +390,6 @@ export const problem = pgTable("problem", { sqlConfig: jsonb("sql_config"), sqlDisplay: jsonb("sql_display"), }, (table) => [ - index("problem__id_919b1d80").using("btree", table.displayId.asc().nullsLast().op("text_ops")), - index("problem_contest_id_328e013a").using("btree", table.contestId.asc().nullsLast().op("int4_ops")), index("problem_contest_visible_idx").using("btree", table.contestId.asc().nullsLast().op("bool_ops"), table.visible.asc().nullsLast().op("int4_ops")), index("problem_created_by_id_cb362143").using("btree", table.createdById.asc().nullsLast().op("int4_ops")), index("problem_visible_idx").using("btree", table.visible.asc().nullsLast().op("bool_ops")), @@ -420,7 +411,6 @@ export const problemTags = pgTable("problem_tags", { problemId: integer("problem_id").notNull(), problemtagId: integer("problemtag_id").notNull(), }, (table) => [ - index("problem_tags_problem_id_866ecb8d").using("btree", table.problemId.asc().nullsLast().op("int4_ops")), index("problem_tags_problemtag_id_72d20571").using("btree", table.problemtagId.asc().nullsLast().op("int4_ops")), foreignKey({ columns: [table.problemId], @@ -491,12 +481,53 @@ export const submission = pgTable("submission", { // 两列同为 ASC 时整条索引反着扫就是精确的反序，所以反而是能用的那一种。 // 这两列都 NOT NULL，nulls 位置在语义上无所谓，纯粹是规划器的匹配规则。 index("submission_public_create_time_id_idx").using("btree", table.createTime.asc().nullsLast(), table.id.asc().nullsLast()).where(sql`${table.contestId} is null`), + /** + * Django 给每个外键都自动建了一个单列索引，`db_index=True` 的还会多一个 + * `_like`（text_pattern_ops）。0012 把其中 21 个删了 —— 它们的列都是某个 + * 复合索引的**最左前缀**，规划器本来就走那一个，多出来的只是每次写入要多维护 + * 一棵树。这张表上删的三个是 contest_id / problem_id / user_id，分别被下面 + * 的 contest_create_time_idx、problem_user_idx、user_create_time_idx 覆盖。 + * + * 加新索引时先看一眼有没有现成的复合索引已经以它打头，别把这批又建回来。 + */ index("problem_user_idx").using("btree", table.problemId.asc().nullsLast().op("int4_ops"), table.userId.asc().nullsLast().op("int4_ops")), - index("submission_contest_id_775716d5").using("btree", table.contestId.asc().nullsLast().op("int4_ops")), - index("submission_problem_id_76847b55").using("btree", table.problemId.asc().nullsLast().op("int4_ops")), + /** + * `submission_result_37e2f67a` 是 Django 建的单列索引，**别当成被下面 + * submission_result_time_idx 覆盖了就删**：那个是 `WHERE contest_id IS NULL` + * 的部分索引，管不了「全库含比赛按 result 统计」那类查询（实测删掉之后 + * `count(*) where result in (6,7)` 从走索引掉回 75ms 全表扫）。856kB，留着。 + */ index("submission_result_37e2f67a").using("btree", table.result.asc().nullsLast().op("int4_ops")), - index("submission_user_id_3779a8c1").using("btree", table.userId.asc().nullsLast().op("int4_ops")), index("user_create_time_idx").using("btree", table.userId.asc().nullsLast().op("int4_ops"), table.createTime.asc().nullsLast().op("timestamptz_ops")), + /** + * 提交列表的「语言」和「结果」两个下拉筛选。原来这两列上要么没索引、要么只有 + * 不带 `contest_id IS NULL` 的单列索引，翻页那条靠 submission_public_create_time_id_idx + * 边扫边滤还能对付，**count 那条只能全表扫**（快照实测固定 75~82ms / 18448 buffers， + * 筛什么值都一样）。加完：语言 count 80ms → 11ms（Python3，占 8 成）/ 1.6ms（C）， + * 结果 count 75ms → 2.0ms。 + * + * 更要命的是冷门语言的**翻页**：Python2 只有 3 条、全是 2022 年的，分页索引得从 + * 最新一路倒扫到底才凑够一页，43ms 全表扫；走这条索引是 0.02ms。 + * + * 两列都 ASC NULLS LAST，理由同上面 submission_public_create_time_id_idx —— + * 靠 Index Scan **Backward** 出 `ORDER BY create_time DESC`。这里再实测了一遍： + * 写成 DESC NULLS LAST 规划器直接不认这条索引，回落到分页索引带 Filter。 + */ + index("submission_language_time_idx").using("btree", table.language.asc().nullsLast(), table.createTime.asc().nullsLast()).where(sql`${table.contestId} is null`), + index("submission_result_time_idx").using("btree", table.result.asc().nullsLast(), table.createTime.asc().nullsLast()).where(sql`${table.contestId} is null`), + /** + * 覆盖索引，专门给「在全部公开提交上做聚合」那几个接口用：教师统计不填班级、 + * 活跃榜、题目 AC 趋势。它们慢的**不是聚合本身，是为了读这四个小列把 145MB 的堆 + * 翻一遍** —— `code` 和 `info` 占了这张表的绝大部分体积，聚合一列都用不上。 + * + * 有了它这些查询走 Index Only Scan，只读 6MB。快照实测： + * 教师统计全站 186ms → 49ms（还消掉了 4.2MB 的落盘排序）、活跃榜 108ms → 18ms、 + * AC 趋势 120ms → 41ms，buffers 一律从 18000+ 掉到 2000 以内。 + * + * 列序按 user_id 打头：三个查询里两个按人分组，能省掉排序。加列要谨慎 —— + * 多一列就多一份 10 万行的拷贝，而它的价值全在「窄」上。 + */ + index("submission_public_metrics_idx").using("btree", table.userId.asc().nullsLast(), table.problemId.asc().nullsLast(), table.result.asc().nullsLast(), table.createTime.asc().nullsLast()).where(sql`${table.contestId} is null`), foreignKey({ columns: [table.contestId], foreignColumns: [contest.id], @@ -565,7 +596,6 @@ export const userAchievement = pgTable("user_achievement", { userId: integer("user_id").notNull(), }, (table) => [ index("user_achievement_achievement_id_29db600d").using("btree", table.achievementId.asc().nullsLast().op("int8_ops")), - index("user_achievement_user_id_b8ec7d6a").using("btree", table.userId.asc().nullsLast().op("int4_ops")), index("user_achv_notified_idx").using("btree", table.userId.asc().nullsLast().op("int4_ops"), table.notified.asc().nullsLast().op("bool_ops")), index("user_achv_time_idx").using("btree", table.userId.asc().nullsLast().op("int4_ops"), table.unlockTime.desc().nullsFirst().op("timestamptz_ops")), foreignKey({ @@ -590,7 +620,6 @@ export const userBadge = pgTable("user_badge", { userId: integer("user_id").notNull(), }, (table) => [ index("user_badge_badge_id_92a983e9").using("btree", table.badgeId.asc().nullsLast().op("int8_ops")), - index("user_badge_user_id_a286d718").using("btree", table.userId.asc().nullsLast().op("int4_ops")), foreignKey({ columns: [table.badgeId], foreignColumns: [problemsetBadge.id], @@ -631,8 +660,6 @@ export const acmContestRank = pgTable("acm_contest_rank", { contestId: integer("contest_id").notNull(), userId: integer("user_id").notNull(), }, (table) => [ - index("acm_contest_rank_contest_id_21030ccd").using("btree", table.contestId.asc().nullsLast().op("int4_ops")), - index("acm_contest_rank_user_id_40391ab2").using("btree", table.userId.asc().nullsLast().op("int4_ops")), index("acm_rank_contest_user_idx").using("btree", table.contestId.asc().nullsLast().op("int4_ops"), table.userId.asc().nullsLast().op("int4_ops")), index("acm_rank_order_idx").using("btree", table.contestId.asc().nullsLast().op("int4_ops"), table.acceptedNumber.asc().nullsLast().op("int4_ops"), table.totalTime.asc().nullsLast().op("int4_ops")), foreignKey({