Files
CmiiDeploy/69-202511-AI-GPU测试/k8s-timescaledb-16C32GB-prod.yaml
2025-12-12 18:19:31 +08:00

187 lines
4.9 KiB
YAML

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