## 1. 使用TiUP部署TiDB集群
$ tiup cluster deploy fgedu-tidb-cluster 7.5.0 topology.yaml –user root -p

## 2. 自动化部署脚本
$ cat > deploy_tidb.sh << EOF #!/bin/bash # deploy_tidb.sh # from:www.itpux.com.qq113257174.wx:itpux-com # web: http://www.fgedu.net.cn # 部署TiDB集群 tiup cluster deploy fgedu-tidb-cluster 7.5.0 topology.yaml --user root -p # 启动集群 tiup cluster start fgedu-tidb-cluster # 检查集群状态 tiup cluster display fgedu-tidb-cluster EOF ## 3. 自动化升级脚本 $ cat > upgrade_tidb.sh << EOF #!/bin/bash # upgrade_tidb.sh # from:www.itpux.com.qq113257174.wx:itpux-com # web: http://www.fgedu.net.cn # 备份数据 tiup br backup full --pd "192.168.1.100:2379" --storage "s3://fgedu-backup/upgrade" # 升级集群 tiup cluster upgrade fgedu-tidb-cluster 7.5.0 # 检查集群状态 tiup cluster display fgedu-tidb-cluster EOF ## 4. 自动化扩缩容脚本 $ cat > scale_tidb.sh << EOF #!/bin/bash # scale_tidb.sh # from:www.itpux.com.qq113257174.wx:itpux-com # web: http://www.fgedu.net.cn # 扩容TiKV节点 tiup cluster scale-out fgedu-tidb-cluster scale-out.yaml # 检查集群状态 tiup cluster display fgedu-tidb-cluster EOF ## 5. 自动化配置管理 $ cat > config_management.sh << EOF #!/bin/bash # config_management.sh # from:www.itpux.com.qq113257174.wx:itpux-com # web: http://www.fgedu.net.cn # 编辑集群配置 tiup cluster edit-config fgedu-tidb-cluster # 重载配置 tiup cluster reload fgedu-tidb-cluster # 检查集群状态 tiup cluster display fgedu-tidb-cluster EOF ## 6. 部署自动化执行 $ chmod +x deploy_tidb.sh upgrade_tidb.sh scale_tidb.sh config_management.sh $ ./deploy_tidb.sh

## 1. 配置Prometheus和Grafana
$ tiup cluster deploy fgedu-tidb-cluster 7.5.0 topology.yaml –user root -p

## 2. 自动化监控脚本
$ cat > monitor_tidb.sh << EOF #!/bin/bash # monitor_tidb.sh # from:www.itpux.com.qq113257174.wx:itpux-com # web: http://www.fgedu.net.cn # 收集监控数据 curl -s http://192.168.1.100:9090/api/v1/query?query=tidb_server_qps > /tidb/metrics/qps.json
curl -s http://192.168.1.100:9090/api/v1/query?query=tidb_server_handle_query_duration_seconds_sum > /tidb/metrics/latency.json

# 分析监控数据
python3 /tidb/scripts/analyze_metrics.py

# 发送告警
python3 /tidb/scripts/send_alert.py
EOF

## 3. 自动化告警配置
$ cat > alert_config.yaml << EOF groups: - name: tidb_alerts rules: - alert: TiDBDown expr: up{job="tidb"} == 0 for: 5m labels: severity: critical annotations: summary: "TiDB instance down" description: "TiDB instance {{ $labels.instance }} has been down for more than 5 minutes" - alert: TiKVStorageFull expr: tikv_store_size_bytes / tikv_store_capacity_bytes > 0.8
for: 5m
labels:
severity: warning
annotations:
summary: “TiKV storage full”
description: “TiKV instance {{ $labels.instance }} storage usage is {{ $value | humanizePercentage }}”
EOF

## 4. 自动化监控执行
$ chmod +x monitor_tidb.sh
$ crontab -e
*/5 * * * * /tidb/scripts/monitor_tidb.sh

## 5. 监控数据分析脚本
$ cat > analyze_metrics.py << EOF #!/usr/bin/env python3 # analyze_metrics.py # from:www.itpux.com.qq113257174.wx:itpux-com # web: http://www.fgedu.net.cn import json # 读取QPS数据 with open('/tidb/metrics/qps.json', 'r') as f: qps_data = json.load(f) # 读取响应时间数据 with open('/tidb/metrics/latency.json', 'r') as f: latency_data = json.load(f) # 分析数据 qps = qps_data['data']['result'][0]['value'][1] if qps_data['data']['result'] else 0 latency = latency_data['data']['result'][0]['value'][1] if latency_data['data']['result'] else 0 print(f"Current QPS: {qps}") print(f"Current latency: {latency} seconds") EOF ## 6. 告警发送脚本 $ cat > send_alert.py << EOF #!/usr/bin/env python3 # send_alert.py # from:www.itpux.com.qq113257174.wx:itpux-com # web: http://www.fgedu.net.cn import smtplib from email.mime.text import MIMEText from email.mime.multipart import MIMEMultipart # 发送邮件 def send_email(subject, body): sender = "alert@fgedu.net.cn" receiver = "admin@fgedu.net.cn" password = "password" smtp_server = "smtp.fgedu.net.cn" msg = MIMEMultipart() msg['From'] = sender msg['To'] = receiver msg['Subject'] = subject msg.attach(MIMEText(body, 'plain')) try: server = smtplib.SMTP(smtp_server, 587) server.starttls() server.login(sender, password) server.send_message(msg) server.quit() print("Alert email sent successfully") except Exception as e: print(f"Error sending email: {e}") # 检查告警条件 with open('/tidb/metrics/qps.json', 'r') as f: qps_data = json.load(f) qps = float(qps_data['data']['result'][0]['value'][1]) if qps_data['data']['result'] else 0 if qps > 10000:
send_email(“High QPS Alert”, f”Current QPS is {qps}, which exceeds the threshold”)
EOF

## 1. 配置GitLab CI
$ cat > .gitlab-ci.yml << EOF stages: - test - build - deploy test: stage: test script: - echo "Running tests..." - python -m pytest tests/ build: stage: build script: - echo "Building application..." - docker build -t fgedu-tidb-app . deploy: stage: deploy script: - echo "Deploying to production..." - kubectl apply -f k8s/deployment.yaml only: - master EOF ## 2. 配置Jenkins $ cat > Jenkinsfile << EOF pipeline { agent any stages { stage('Test') { steps { sh 'echo "Running tests..."' sh 'python -m pytest tests/' } } stage('Build') { steps { sh 'echo "Building application..."' sh 'docker build -t fgedu-tidb-app .' } } stage('Deploy') { steps { sh 'echo "Deploying to production..."' sh 'kubectl apply -f k8s/deployment.yaml' } } } } EOF ## 3. 基础设施即代码 $ cat > terraform/main.tf << EOF provider "aws" { region = "us-west-2" } resource "aws_instance" "tidb-server" { ami = "ami-0c55b159cbfafe1f0" instance_type = "t3.large" key_name = "fgedu-key" tags = { Name = "TiDB Server" } } resource "aws_instance" "tikv-server" { count = 3 ami = "ami-0c55b159cbfafe1f0" instance_type = "t3.large" key_name = "fgedu-key" tags = { Name = "TiKV Server ${count.index + 1}" } } resource "aws_instance" "pd-server" { ami = "ami-0c55b159cbfafe1f0" instance_type = "t3.medium" key_name = "fgedu-key" tags = { Name = "PD Server" } } EOF ## 4. 容器化部署 $ cat > Dockerfile << EOF FROM pingcap/tidb:latest COPY config/tidb.toml /tidb/conf/tidb.toml EXPOSE 4000 10080 CMD ["tidb-server", "--config", "/tidb/conf/tidb.toml"] EOF ## 5. Kubernetes部署 $ cat > k8s/deployment.yaml << EOF apiVersion: apps/v1 kind: Deployment metadata: name: tidb-server labels: app: tidb spec: replicas: 2 selector: matchLabels: app: tidb template: metadata: labels: app: tidb spec: containers: - name: tidb image: pingcap/tidb:latest ports: - containerPort: 4000 - containerPort: 10080 volumeMounts: - name: tidb-config mountPath: /tidb/conf volumes: - name: tidb-config configMap: name: tidb-config --- apiVersion: v1 kind: ConfigMap metadata: name: tidb-config data: tidb.toml: | [server] port = 4000 status-port = 10080 [log] level = "info" EOF ## 6. 自动化测试 $ cat > tests/test_tidb.py << EOF #!/usr/bin/env python3 # test_tidb.py # from:www.itpux.com.qq113257174.wx:itpux-com # web: http://www.fgedu.net.cn import pymysql def test_connection(): conn = pymysql.connect( host="192.168.1.100", port=4000, user="fgedu", password="password", db="fgedudb" ) cursor = conn.cursor() cursor.execute("SELECT 1") result = cursor.fetchone() assert result[0] == 1 conn.close() print("Connection test passed") def test_query(): conn = pymysql.connect( host="192.168.1.100", port=4000, user="fgedu", password="password", db="fgedudb" ) cursor = conn.cursor() cursor.execute("CREATE TABLE IF NOT EXISTS fgedu_test (id INT PRIMARY KEY, name VARCHAR(255))") cursor.execute("INSERT INTO fgedu_test VALUES (1, 'test')") conn.commit() cursor.execute("SELECT * FROM fgedu_test WHERE id = 1") result = cursor.fetchone() assert result[1] == "test" conn.close() print("Query test passed") if __name__ == "__main__": test_connection() test_query() print("All tests passed") EOF

## 1. TiUP
– 功能：TiDB官方部署工具，支持自动化部署、升级、扩缩容
– 安装：curl –proto ‘=https’ –tlsv1.2 -sSf https://tiup-mirrors.pingcap.com/install.sh | sh
– 使用：tiup cluster deploy fgedu-tidb-cluster 7.5.0 topology.yaml –user root -p

## 2. Ansible
– 功能：配置管理和自动化工具
– 安装：yum install -y ansible
– 使用：ansible-playbook deploy_tidb.yml

## 3. Prometheus
– 功能：监控系统和时间序列数据库
– 安装：docker run -d -p 9090:9090 prom/prometheus
– 使用：http://localhost:9090

## 4. Grafana
– 功能：可视化监控数据
– 安装：docker run -d -p 3000:3000 grafana/grafana
– 使用：http://localhost:3000

## 5. ELK Stack
– 功能：日志收集、分析和可视化
– 安装：docker-compose up -d
– 使用：http://localhost:5601

## 6. Jenkins
– 功能：持续集成和持续交付
– 安装：docker run -d -p 8080:8080 jenkins/jenkins:lts
– 使用：http://localhost:8080

## 7. GitLab CI
– 功能：持续集成和持续交付
– 安装：docker run -d -p 80:80 gitlab/gitlab-ce
– 使用：http://localhost

## 8. Docker
– 功能：容器化平台
– 安装：yum install -y docker
– 使用：docker run -d -p 4000:4000 pingcap/tidb

## 9. Kubernetes
– 功能：容器编排平台
– 安装：kubeadm init
– 使用：kubectl apply -f deployment.yaml

## 10. Terraform
– 功能：基础设施即代码
– 安装：yum install -y terraform
– 使用：terraform apply

## 1. TiUP与Ansible集成
$ cat > deploy_tidb.yml << EOF --- - hosts: all become: yes tasks: - name: Install TiUP shell: curl --proto '=https' --tlsv1.2 -sSf https://tiup-mirrors.pingcap.com/install.sh | sh args: creates: ~/.tiup/bin/tiup - name: Deploy TiDB cluster shell: tiup cluster deploy fgedu-tidb-cluster 7.5.0 topology.yaml --user root -p args: chdir: /tidb/deploy - name: Start TiDB cluster shell: tiup cluster start fgedu-tidb-cluster args: chdir: /tidb/deploy EOF ## 2. Prometheus与Grafana集成 $ cat > prometheus.yml << EOF global: scrape_interval: 15s evaluation_interval: 15s alerting: alertmanagers: - static_configs: - targets: ['alertmanager:9093'] rule_files: - "rules/*.yml" scrape_configs: - job_name: 'tidb' static_configs: - targets: ['tidb:10080'] - job_name: 'tikv' static_configs: - targets: ['tikv1:20180', 'tikv2:20180', 'tikv3:20180'] - job_name: 'pd' static_configs: - targets: ['pd:2379'] EOF ## 3. ELK Stack与TiDB集成 $ cat > logstash/pipeline/logstash.conf << EOF input { file { path => “/tidb/app/tidb-deploy/tidb-4000/log/tidb.log”
start_position => “beginning”
sincedb_path => “/dev/null”
}
file {
path => “/tidb/app/tidb-deploy/tikv-20160/log/tikv.log”
start_position => “beginning”
sincedb_path => “/dev/null”
}
file {
path => “/tidb/app/tidb-deploy/pd-2379/log/pd.log”
start_position => “beginning”
sincedb_path => “/dev/null”
}
}

filter {
grok {
match => { “message” => “%{TIMESTAMP_ISO8601:timestamp} \[%{DATA:level}\] \[%{DATA:component}\] \[%{DATA:file}\:%{NUMBER:line}\] %{GREEDYDATA:message}” }
}
date {
match => [ “timestamp”, “yyyy-MM-dd HH:mm:ss.SSS” ]
target => “@timestamp”
}
}

output {
elasticsearch {
hosts => [“elasticsearch:9200”]
index => “tidb-logs-%{+YYYY.MM.dd}”
}
}
EOF

## 4. Jenkins与GitLab CI集成
$ cat > Jenkinsfile << EOF pipeline { agent any stages { stage('Test') { steps { sh 'echo "Running tests..."' sh 'python -m pytest tests/' } } stage('Build') { steps { sh 'echo "Building application..."' sh 'docker build -t fgedu-tidb-app .' } } stage('Deploy') { steps { sh 'echo "Deploying to production..."' sh 'kubectl apply -f k8s/deployment.yaml' } } } } EOF ## 5. Docker与Kubernetes集成 $ cat > docker-compose.yml << EOF version: '3' services: tidb: image: pingcap/tidb:latest ports: - "4000:4000" - "10080:10080" volumes: - ./config/tidb.toml:/tidb/conf/tidb.toml tikv1: image: pingcap/tikv:latest ports: - "20160:20160" volumes: - ./config/tikv.toml:/tikv/conf/tikv.toml tikv2: image: pingcap/tikv:latest ports: - "20161:20160" volumes: - ./config/tikv.toml:/tikv/conf/tikv.toml tikv3: image: pingcap/tikv:latest ports: - "20162:20160" volumes: - ./config/tikv.toml:/tikv/conf/tikv.toml pd: image: pingcap/pd:latest ports: - "2379:2379" volumes: - ./config/pd.toml:/pd/conf/pd.toml EOF