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

# # 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"
pd_servers:
  - host: 10.0.1.4
  - host: 10.0.1.5
  - host: 10.0.1.6
tidb_servers:
  - host: 10.0.1.1
  - host: 10.0.1.2
tikv_servers:
  - host: 10.0.1.7
  - host: 10.0.1.8
  - host: 10.0.1.9
monitoring_servers:
  - host: 10.0.1.10
grafana_servers:
  - host: 10.0.1.10
alertmanager_servers:
  - host: 10.0.1.10
``` 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:

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