最小拓扑架构

本文档介绍 TiDB 集群最小部署的拓扑架构。

拓扑信息

拓扑模版

简单最小配置模板

1. # # Global variables are applied to all deployments and used as the default value of
2. # # the deployments if a specific deployment value is missing.
3. global:
4. user: "tidb"
5. ssh_port: 22
6. deploy_dir: "/tidb-deploy"
7. data_dir: "/tidb-data"

9. pd_servers:
10. - host: 10.0.1.4
11. - host: 10.0.1.5
12. - host: 10.0.1.6

14. tidb_servers:
15. - host: 10.0.1.1
16. - host: 10.0.1.2

18. tikv_servers:
19. - host: 10.0.1.7
20. - host: 10.0.1.8
21. - host: 10.0.1.9

23. monitoring_servers:
24. - host: 10.0.1.10

26. grafana_servers:
27. - host: 10.0.1.10

29. alertmanager_servers:
30. - host: 10.0.1.10
31. ``` 详细最小配置模板

# Global variables are applied to all deployments and used as the default value of

# the deployments if a specific deployment value is missing.

global: user: “tidb” ssh_port: 22 deploy_dir: “/tidb-deploy” data_dir: “/tidb-data”

# Monitored variables are applied to all the machines.

monitored: node_exporter_port: 9100 blackbox_exporter_port: 9115

deploy_dir: “/tidb-deploy/monitored-9100”

data_dir: “/tidb-data/monitored-9100”

log_dir: “/tidb-deploy/monitored-9100/log”

# Server configs are used to specify the runtime configuration of TiDB components.

# All configuration items can be found in TiDB docs:

# - TiDB: https://docs.pingcap.com/zh/tidb/stable/tidb-configuration-file

# - TiKV: https://docs.pingcap.com/zh/tidb/stable/tikv-configuration-file

# - PD: https://docs.pingcap.com/zh/tidb/stable/pd-configuration-file

# All configuration items use points to represent the hierarchy, e.g:

# readpool.storage.use-unified-pool

# You can overwrite this configuration via the instance-level config field.

server_configs: tidb: log.slow-threshold: 300 binlog.enable: false binlog.ignore-error: false tikv:

1. # server.grpc-concurrency: 4
2. # raftstore.apply-pool-size: 2
3. # raftstore.store-pool-size: 2
4. # rocksdb.max-sub-compactions: 1
5. # storage.block-cache.capacity: "16GB"
6. # readpool.unified.max-thread-count: 12
7. readpool.storage.use-unified-pool: false
8. readpool.coprocessor.use-unified-pool: true

pd: schedule.leader-schedule-limit: 4 schedule.region-schedule-limit: 2048 schedule.replica-schedule-limit: 64

pd_servers:

• host: 10.0.1.4

# ssh_port: 22

# name: “pd-1”

# client_port: 2379

# peer_port: 2380

# deploy_dir: “/tidb-deploy/pd-2379”

# data_dir: “/tidb-data/pd-2379”

# log_dir: “/tidb-deploy/pd-2379/log”

# numa_node: “0,1”

# # The following configs are used to overwrite the server_configs.pd values.

# config:

# schedule.max-merge-region-size: 20

# schedule.max-merge-region-keys: 200000 - host: 10.0.1.5 - host: 10.0.1.6

tidb_servers:

• host: 10.0.1.1

# ssh_port: 22

# port: 4000

# status_port: 10080

# deploy_dir: “/tidb-deploy/tidb-4000”

# log_dir: “/tidb-deploy/tidb-4000/log”

# numa_node: “0,1”

# # The following configs are used to overwrite the server_configs.tidb values.

# config:

# log.slow-query-file: tidb-slow-overwrited.log - host: 10.0.1.2

tikv_servers:

• host: 10.0.1.7

# ssh_port: 22

# port: 20160

# status_port: 20180

# deploy_dir: “/tidb-deploy/tikv-20160”

# data_dir: “/tidb-data/tikv-20160”

# log_dir: “/tidb-deploy/tikv-20160/log”

# numa_node: “0,1”

# # The following configs are used to overwrite the server_configs.tikv values.

# config:

# server.grpc-concurrency: 4

# server.labels: { zone: “zone1”, dc: “dc1”, host: “host1” } - host: 10.0.1.8 - host: 10.0.1.9

monitoring_servers:

• host: 10.0.1.10

# ssh_port: 22

# port: 9090

# deploy_dir: “/tidb-deploy/prometheus-8249”

# data_dir: “/tidb-data/prometheus-8249”

# log_dir: “/tidb-deploy/prometheus-8249/log”

grafana_servers:

• host: 10.0.1.10

# port: 3000

# deploy_dir: /tidb-deploy/grafana-3000

alertmanager_servers:

• host: 10.0.1.10

# ssh_port: 22

# web_port: 9093

# cluster_port: 9094

# deploy_dir: “/tidb-deploy/alertmanager-9093”

# data_dir: “/tidb-data/alertmanager-9093”

# log_dir: “/tidb-deploy/alertmanager-9093/log”

```

以上 TiDB 集群拓扑文件中，详细的配置项说明见通过 TiUP 部署 TiDB 集群的拓扑文件配置。

注意

• 无需手动创建配置文件中的 tidb 用户，TiUP cluster 组件会在目标主机上自动创建该用户。可以自定义用户，也可以和中控机的用户保持一致。
• 如果部署目录配置为相对路径，会部署在用户的 Home 目录下。