68 lines
2.5 KiB
YAML
68 lines
2.5 KiB
YAML
# telesrv 第一阶段三方依赖（开发用）。
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#
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# 启动： docker compose up -d
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# 状态： docker compose ps
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# 关停： docker compose down （保留数据卷）
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# 清空： docker compose down -v （连数据卷一起删，重置 schema/数据）
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#
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# server 端连接串见 internal/config/config.go 的默认值（localhost:5432 / localhost:6399）。
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#
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# 容器/卷命名可通过 TELESRV_DOCKER_PROJECT / TELESRV_DOCKER_PREFIX 覆盖（默认 owpengram）：
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# start-server.sh 对已存在 telesrv_* 卷、且用户拒绝一次性改名迁移的安装，会把这两个变量
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# 固定设为 telesrv，从而永久保留旧命名，不动用户现有的 telesrv_pgdata / telesrv_redisdata。
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name: ${TELESRV_DOCKER_PROJECT:-owpengram}
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services:
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postgres:
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image: postgres:17-alpine
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container_name: ${TELESRV_DOCKER_PREFIX:-owpengram}-postgres
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# 全库已去分区（普通表），max_locks_per_transaction 默认 64 已够；512 仅留余量，对内存近乎零开销。
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# pg_stat_statements：聚合各 SQL 的累计/平均耗时与调用次数，用于定位 postgres 容器 CPU 热点
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# （telesrv 是宿主进程，docker stats 里的 CPU 尖峰是本容器）。需 CREATE EXTENSION 后才有视图：
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# docker exec -i owpengram-postgres psql -U telesrv -d telesrv -c "CREATE EXTENSION IF NOT EXISTS pg_stat_statements;"
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command:
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- "postgres"
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- "-c"
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- "max_locks_per_transaction=512"
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- "-c"
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- "shared_preload_libraries=pg_stat_statements"
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- "-c"
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- "pg_stat_statements.track=all"
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- "-c"
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- "track_io_timing=on"
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environment:
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POSTGRES_DB: telesrv
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POSTGRES_USER: telesrv
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POSTGRES_PASSWORD: telesrv
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TZ: UTC
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ports:
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- "5432:5432"
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volumes:
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- pgdata:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U telesrv -d telesrv"]
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interval: 5s
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timeout: 3s
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retries: 10
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restart: unless-stopped
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redis:
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image: redis:7-alpine
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container_name: ${TELESRV_DOCKER_PREFIX:-owpengram}-redis
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command: ["redis-server", "--appendonly", "yes"]
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ports:
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- "6399:6379" # 宿主 6379 常被其他项目占用，telesrv 对外用 6399（容器内仍 6379）
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volumes:
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- redisdata:/data
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 5s
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timeout: 3s
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retries: 10
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restart: unless-stopped
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volumes:
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pgdata:
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name: ${TELESRV_DOCKER_PREFIX:-owpengram}_pgdata
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redisdata:
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name: ${TELESRV_DOCKER_PREFIX:-owpengram}_redisdata
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