新增RMDC部分的代码
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187
69-202511-AI-GPU测试/k8s-timescaledb-16C32GB-prod.yaml
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187
69-202511-AI-GPU测试/k8s-timescaledb-16C32GB-prod.yaml
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---
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: timescaledb-rmdc-config
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namespace: cmii-rmdc
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data:
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postgresql.conf: |
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# ========== 内存核心参数优化(32GB) ==========
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# shared_buffers: 32GB以下推荐25%总内存
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shared_buffers = 8GB
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# effective_cache_size: 推荐50-75%总内存
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effective_cache_size = 24GB
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# work_mem: (Total RAM * 0.25) / max_connections
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# (32GB * 0.25) / 150 ≈ 54MB,向上调整至128MB
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work_mem = 128MB
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# maintenance_work_mem: 建议1-2GB,32GB内存可提升至2GB
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maintenance_work_mem = 2GB
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# ========== WAL相关参数 ==========
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wal_buffers = 32MB
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min_wal_size = 4GB
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max_wal_size = 16GB
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checkpoint_completion_target = 0.9
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wal_compression = on
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# ========== 查询规划器参数 ==========
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default_statistics_target = 100
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random_page_cost = 1.1
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effective_io_concurrency = 200
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# ========== 并行查询参数 ==========
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max_worker_processes = 16
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max_parallel_workers_per_gather = 4
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max_parallel_workers = 8
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max_parallel_maintenance_workers = 4
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# ========== 连接相关 ==========
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max_connections = 150
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# ========== TimescaleDB专用优化 ==========
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timescaledb.max_background_workers = 8
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shared_preload_libraries = 'timescaledb'
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# TimescaleDB压缩优化(针对时序数据)
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timescaledb.max_background_workers = 8
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# ========== 日志配置 ==========
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logging_collector = on
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log_min_duration_statement = 1000
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log_line_prefix = '%t [%p]: [%l-1] user=%u,db=%d,app=%a,client=%h '
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log_checkpoints = on
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# ========== 自动清理优化 ==========
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autovacuum_max_workers = 4
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autovacuum_naptime = 10s
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autovacuum_vacuum_scale_factor = 0.05
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autovacuum_analyze_scale_factor = 0.02
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# ========== 其他性能优化 ==========
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checkpoint_timeout = 15min
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bgwriter_delay = 200ms
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bgwriter_lru_maxpages = 100
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bgwriter_lru_multiplier = 2.0
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---
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apiVersion: apps/v1
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kind: StatefulSet
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metadata:
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name: timescaledb-rmdc
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namespace: cmii-rmdc
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spec:
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serviceName: timescaledb-rmdc-svc
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replicas: 1
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selector:
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matchLabels:
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app: timescaledb-rmdc
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template:
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metadata:
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labels:
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app: timescaledb-rmdc
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spec:
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affinity:
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nodeAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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nodeSelectorTerms:
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- matchExpressions:
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- key: kubernetes.io/hostname
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operator: In
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values:
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- worker-1-192.168.40.61
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imagePullSecrets:
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- name: harborsecret
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containers:
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- name: timescaledb
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image: harbor.wdd.io:8033/rmdc/timescaledb:2.24.0-pg17
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ports:
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- containerPort: 5432
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name: postgresql
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env:
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- name: POSTGRES_PASSWORD
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value: "Super@Boge.123"
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- name: POSTGRES_USER
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value: "postgres"
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- name: POSTGRES_DB
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value: "timescaledb"
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- name: PGDATA
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value: /var/lib/postgresql/data/pgdata
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- name: TS_TUNE_MEMORY
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value: "32GB"
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- name: TS_TUNE_NUM_CPUS
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value: "16"
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resources:
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requests:
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memory: "16Gi"
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cpu: "8"
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limits:
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memory: "32Gi"
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cpu: "16"
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volumeMounts:
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- name: data
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mountPath: /var/lib/postgresql/data
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- name: config
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mountPath: /etc/postgresql/postgresql.conf
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subPath: postgresql.conf
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livenessProbe:
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exec:
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command:
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- /bin/sh
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- -c
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- pg_isready -U postgres
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initialDelaySeconds: 30
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periodSeconds: 10
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timeoutSeconds: 5
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failureThreshold: 3
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readinessProbe:
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exec:
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command:
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- /bin/sh
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- -c
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- pg_isready -U postgres
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initialDelaySeconds: 5
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periodSeconds: 5
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timeoutSeconds: 3
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failureThreshold: 3
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volumes:
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- name: config
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configMap:
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name: timescaledb-rmdc-config
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- name: data
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hostPath:
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path: /var/lib/docker/postgresql_data
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---
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: timescaledb-rmdc-svc
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namespace: cmii-rmdc
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spec:
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type: NodePort
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ports:
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- port: 5432
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targetPort: 5432
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nodePort: 35435
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protocol: TCP
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name: postgresql
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selector:
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app: timescaledb-rmdc
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: timescaledb-rmdc-svc-headless
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namespace: cmii-rmdc
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spec:
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clusterIP: None
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ports:
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- port: 5432
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targetPort: 5432
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protocol: TCP
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name: postgresql
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selector:
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app: timescaledb-rmdc
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