Skip to content

Latest commit

 

History

History
121 lines (72 loc) · 3.14 KB

README.md

File metadata and controls

121 lines (72 loc) · 3.14 KB
Raw

Deployment of DingoDB

DingoDB is a real-time Hybrid Serving & Analytical Processing (HSAP) Database. It can execute high-frequency queries and upsert, interactive analysis, multi-dimensional analysis in extremely low latency. To achieve high concurrency and high throughput, DingoDB uses an elastic distributed deployment mode. In order to simplify the deployment, this project introduces the deployment of DingoDB using ansible.

1. Cluster Mode

Physical Topology about DingoDB

The roles in the cluster are mainly divided into:

  • Coordinator

Coordinator act as the master of the cluster. It is responsible for the management and scheduler of data replications of DingoDB cluster.

  • Executor

Executor act as the worker of the cluster. It is responsible for executing the physical execution plan of SQL to scan and compute the data.

  • Driver Proxy

DingoDB uses JDBC driver to perform table-level data operations, such as create, insert, update, delete, etc. Driver Proxy act as the proxy of JDBC Connection.

1.1 Installation prerequisites

  • Version of OS

CentOS 7 or higher.

  • Repository of Yum works fine

The repository will be used to install basic tools needed by the cluster, such as python3.

  • Ansible Host

A host installed with ansible is required to distribute cluster configuration and related software modules about DingoDB. This machine can also be replaced by one node in DingoDB cluster such as Node-1.

1.2 Deployment Guidelines

In the cluster mode, ansible is selected as the deployment tools. You can use this guide to install a DingoDB cluster.

1.2.1 Install Steps

You can follow this guide to install a dingo cluster:

asciicast

1.2.2 Installation Notes

1. define cluster configuration

Edit the configuration inventory/hosts, use the real host, user, password to replace the item.

[all:vars]
ansible_connection=ssh
ansible_ssh_user=root
ansible_ssh_pass=123456
ansible_python_interpreter=/usr/bin/python3

[coordinator]
172.20.3.13 
172.20.3.14
172.20.3.15

[executor]
172.20.3.15
172.20.3.16
172.20.3.17

[driver]
172.20.3.17

[all_nodes:children]
coordinator
executor
driver

2. Check Python3 is installed

Check Python3 is installed or not on DingoDB cluster, if Python3 is not installed, We can use ansible to install Python3 using such command.

ansible all_nodes --become -m raw -a "yum install -y python3" -i ansible_hosts

3. Start to install

  • Copy artifacts
1. artifacts/jdk-8u171-linux-x64.tar.gz
2. artifacts/dingo.zip
  • Executor ansible script
 ansible-playbook playbook.yml

2. Docker compose mode

Due to the network firewall, for the convenience of developers, DingoDB team no longer provide a unified GitHub docker repository.

2.1 Installation prerequisites

  • docker
  • docker-compose

2.2 Install Steps

asciicast