混合部署拓扑

本文介绍 TiDB 集群的 TiKV 和 TiDB 混合部署拓扑以及主要参数。常见的场景为，部署机为多路 CPU 处理器，内存也充足，为提高物理机资源利用率，可单机多实例部署，即 TiDB、TiKV 通过 numa 绑核，隔离 CPU 资源。PD 和 Prometheus 混合部署，但两者的数据目录需要使用独立的文件系统。

拓扑信息

实例	个数	物理机配置	IP	配置
TiDB	6	32 VCore 64GB	10.0.1.1 10.0.1.2 10.0.1.3	配置 numa 绑核操作
PD	3	16 VCore 32 GB	10.0.1.4 10.0.1.5 10.0.1.6	配置 location_labels 参数
TiKV	6	32 VCore 64GB	10.0.1.7 10.0.1.8 10.0.1.9	1. 区分实例级别的 port、status_port； 2. 配置全局参数 readpool、storage 以及 raftstore； 3. 配置实例级别 host 维度的 labels； 4. 配置 numa 绑核操作
Monitoring & Grafana	1	4 VCore 8GB * 1 500GB (ssd)	10.0.1.10	默认配置

拓扑模版

简单混部配置模板

# # 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"

server_configs:
  tikv:
    readpool.unified.max-thread-count: <The value refers to the calculation formula result of the multi-instance topology document.>
    readpool.storage.use-unified-pool: false
    readpool.coprocessor.use-unified-pool: true
    storage.block-cache.capacity: "<The value refers to the calculation formula result of the multi-instance topology document.>"
    raftstore.capacity: "<The value refers to the calculation formula result of the multi-instance topology document.>"
  pd:
    replication.location-labels: ["host"]

pd_servers:
  - host: 10.0.1.4
  - host: 10.0.1.5
  - host: 10.0.1.6

tidb_servers:
  - host: 10.0.1.1
    port: 4000
    status_port: 10080
    numa_node: "0"
  - host: 10.0.1.1
    port: 4001
    status_port: 10081
    numa_node: "1"
  - host: 10.0.1.2
    port: 4000
    status_port: 10080
    numa_node: "0"
  - host: 10.0.1.2
    port: 4001
    status_port: 10081
    numa_node: "1"
  - host: 10.0.1.3
    port: 4000
    status_port: 10080
    numa_node: "0"
  - host: 10.0.1.3
    port: 4001
    status_port: 10081
    numa_node: "1"

tikv_servers:
  - host: 10.0.1.7
    port: 20160
    status_port: 20180
    numa_node: "0"
    config:
      server.labels: { host: "tikv1" }
  - host: 10.0.1.7
    port: 20161
    status_port: 20181
    numa_node: "1"
    config:
      server.labels: { host: "tikv1" }
  - host: 10.0.1.8
    port: 20160
    status_port: 20180
    numa_node: "0"
    config:
      server.labels: { host: "tikv2" }
  - host: 10.0.1.8
    port: 20161
    status_port: 20181
    numa_node: "1"
    config:
      server.labels: { host: "tikv2" }
  - host: 10.0.1.9
    port: 20160
    status_port: 20180
    numa_node: "0"
    config:
      server.labels: { host: "tikv3" }
  - host: 10.0.1.9
    port: 20161
    status_port: 20181
    numa_node: "1"
    config:
      server.labels: { host: "tikv3" }

monitoring_servers:
  - host: 10.0.1.10

grafana_servers:
  - host: 10.0.1.10

alertmanager_servers:
  - host: 10.0.1.10

详细混部配置模板

# # 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:
  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:
  tidb:
    log.slow-threshold: 300
  tikv:
    readpool.unified.max-thread-count: <The value refers to the calculation formula result of the multi-instance topology document.>
    readpool.storage.use-unified-pool: false
    readpool.coprocessor.use-unified-pool: true
    storage.block-cache.capacity: "<The value refers to the calculation formula result of the multi-instance topology document.>"
    raftstore.capacity: "<The value refers to the calculation formula result of the multi-instance topology document.>"
  pd:
    replication.location-labels: ["host"]
    schedule.leader-schedule-limit: 4
    schedule.region-schedule-limit: 2048
    schedule.replica-schedule-limit: 64

pd_servers:
  - host: 10.0.1.4
  - host: 10.0.1.5
  - host: 10.0.1.6

tidb_servers:
  - host: 10.0.1.1
    port: 4000
    status_port: 10080
    deploy_dir: "/tidb-deploy/tidb-4000"
    log_dir: "/tidb-deploy/tidb-4000/log"
    numa_node: "0"
  - host: 10.0.1.1
    port: 4001
    status_port: 10081
    deploy_dir: "/tidb-deploy/tidb-4001"
    log_dir: "/tidb-deploy/tidb-4001/log"
    numa_node: "1"
  - host: 10.0.1.2
    port: 4000
    status_port: 10080
    deploy_dir: "/tidb-deploy/tidb-4000"
    log_dir: "/tidb-deploy/tidb-4000/log"
    numa_node: "0"
  - host: 10.0.1.2
    port: 4001
    status_port: 10081
    deploy_dir: "/tidb-deploy/tidb-4001"
    log_dir: "/tidb-deploy/tidb-4001/log"
    numa_node: "1"
  - host: 10.0.1.3
    port: 4000
    status_port: 10080
    deploy_dir: "/tidb-deploy/tidb-4000"
    log_dir: "/tidb-deploy/tidb-4000/log"
    numa_node: "0"
  - host: 10.0.1.3
    port: 4001
    status_port: 10081
    deploy_dir: "/tidb-deploy/tidb-4001"
    log_dir: "/tidb-deploy/tidb-4001/log"
    numa_node: "1"

tikv_servers:
  - host: 10.0.1.7
    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"
    config:
      server.labels: { host: "tikv1" }
  - host: 10.0.1.7
    port: 20161
    status_port: 20181
    deploy_dir: "/tidb-deploy/tikv-20161"
    data_dir: "/tidb-data/tikv-20161"
    log_dir: "/tidb-deploy/tikv-20161/log"
    numa_node: "1"
    config:
      server.labels: { host: "tikv1" }
  - host: 10.0.1.8
    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"
    config:
      server.labels: { host: "tikv2" }
  - host: 10.0.1.8
    port: 20161
    status_port: 20181
    deploy_dir: "/tidb-deploy/tikv-20161"
    data_dir: "/tidb-data/tikv-20161"
    log_dir: "/tidb-deploy/tikv-20161/log"
    numa_node: "1"
    config:
      server.labels: { host: "tikv2" }
  - host: 10.0.1.9
    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"
    config:
      server.labels: { host: "tikv3" }
  - host: 10.0.1.9
    port: 20161
    status_port: 20181
    deploy_dir: "/tidb-deploy/tikv-20161"
    data_dir: "/tidb-data/tikv-20161"
    log_dir: "/tidb-deploy/tikv-20161/log"
    numa_node: "1"
    config:
      server.labels: { host: "tikv3" }

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。

混合部署的关键参数介绍

本节介绍单机多实例的关键参数，主要用于 TiDB、TiKV 的单机多实例部署场景。你需要按照提供的计算公式，将结果填写至上一步的配置模板中。

TiKV 进行配置优化
- readpool 线程池自适应，配置 readpool.unified.max-thread-count 参数可以使 readpool.storage 和 readpool.coprocessor 共用统一线程池，同时要分别设置自适应开关。
  - 开启 readpool.storage 和 readpool.coprocessor：
```
readpool.storage.use-unified-pool: true
readpool.coprocessor.use-unified-pool: true
```
  - 计算公式如下：
```
readpool.unified.max-thread-count = cores * 0.8 / TiKV 数量
```
- storage CF (all RocksDB column families) 内存自适应，配置 storage.block-cache.capacity 参数即可实现 CF 之间自动平衡内存使用。
  - 计算公式如下：
```
storage.block-cache.capacity = (MEM_TOTAL * 0.5 / TiKV 实例数量)
```
- 如果多个 TiKV 实例部署在同一块物理磁盘上，需要在 tikv 配置中添加 capacity 参数：
```
raftstore.capacity = 磁盘总容量 / TiKV 实例数量
```
label 调度配置

由于采用单机多实例部署 TiKV，为了避免物理机宕机导致 Region Group 默认 3 副本的 2 副本丢失，导致集群不可用的问题，可以通过 label 来实现 PD 智能调度，保证同台机器的多 TiKV 实例不会出现 Region Group 只有 2 副本的情况。
- TiKV 配置
  
  相同物理机配置相同的 host 级别 label 信息：
```
config:
  server.labels:
    host: tikv1
```
- PD 配置
  
  PD 需要配置 labels 类型来识别并调度 Region：
```
pd:
  replication.location-labels: ["host"]
```
numa_node 绑核
- 在实例参数模块配置对应的 numa_node 参数，并添加对应的物理 CPU 的核数；
- numa 绑核使用前，确认已经安装 numactl 工具，以及物理机对应的物理机 CPU 的信息后，再进行参数配置；
- numa_node 这个配置参数与 numactl --membind 配置对应。

注意：

编辑配置文件模版时，注意修改必要参数、IP、端口及目录。

各个组件的 deploy_dir，默认会使用 global 中的 <deploy_dir>/<components_name>-<port>。例如 tidb 端口指定 4001，则 deploy_dir 默认为 '/tidb-deploy/tidb-4001'。因此，在多实例场景下指定非默认端口时，无需再次指定目录。

无需手动创建配置文件中的 tidb 用户，TiUP cluster 组件会在部署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。

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

hybrid-deployment-topology.md

hybrid-deployment-topology.md

混合部署拓扑

拓扑信息

拓扑模版

混合部署的关键参数介绍

Files

hybrid-deployment-topology.md

Latest commit

History

hybrid-deployment-topology.md

File metadata and controls

混合部署拓扑

拓扑信息

拓扑模版

混合部署的关键参数介绍