數據可視化之redash(支持43種數據源) (轉自https://anjia0532.github.io/2019/07/08/redash/)

本文轉載自查看原文 2020-06-22 15:54 865

人類都是視覺動物，講究一圖勝千言。如果沒了可視化，那么你在跟領導匯報工作時，很大程度會雞同鴨講。
其實 excel2016+已經是一個不錯的數據分析及可視化工具了(支持幾十種數據源),但是，不方便權限控制，集中，及報警。

我一般將 redash 作為可視化工具、數據庫查詢編輯器(類似 navicat-premium)、數據挖掘探索工具來用。
截止目前，自建 redash 支持 43 種數據源

安裝 redash

## 安裝必要工具
apt install -y pwgen python-pip
pip install pip -U
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip install docker-compose

## 生成腳本
cat << EOF | sudo tee -a ./setup.sh
#!/usr/bin/env bash
# This script setups dockerized Redash on Ubuntu 18.04.
set -eu

REDASH_BASE_PATH=/opt/redash

create_directories() {
    if [[ ! -e $REDASH_BASE_PATH ]]; then
        sudo mkdir -p $REDASH_BASE_PATH
        sudo chown $USER:$USER $REDASH_BASE_PATH
    fi

    if [[ ! -e $REDASH_BASE_PATH/postgres-data ]]; then
        mkdir $REDASH_BASE_PATH/postgres-data
    fi
}

create_config() {
    if [[ -e $REDASH_BASE_PATH/env ]]; then
        rm $REDASH_BASE_PATH/env
        touch $REDASH_BASE_PATH/env
    fi

    COOKIE_SECRET=$(pwgen -1s 32)
    SECRET_KEY=$(pwgen -1s 32)
    POSTGRES_PASSWORD=$(pwgen -1s 32)
    REDASH_DATABASE_URL="postgresql://postgres:${POSTGRES_PASSWORD}@postgres/postgres"

    echo "PYTHONUNBUFFERED=0" >> $REDASH_BASE_PATH/env
    echo "REDASH_LOG_LEVEL=INFO" >> $REDASH_BASE_PATH/env
    echo "REDASH_REDIS_URL=redis://redis:6379/0" >> $REDASH_BASE_PATH/env
    echo "POSTGRES_PASSWORD=$POSTGRES_PASSWORD" >> $REDASH_BASE_PATH/env
    echo "REDASH_COOKIE_SECRET=$COOKIE_SECRET" >> $REDASH_BASE_PATH/env
    echo "REDASH_SECRET_KEY=$SECRET_KEY" >> $REDASH_BASE_PATH/env
    echo "REDASH_DATABASE_URL=$REDASH_DATABASE_URL" >> $REDASH_BASE_PATH/env
}

create_directories
create_config
EOF

## 生成必要配置文件
chmod +x ./setup && ./setup

docker-compose.yml

version: "2"
x-redash-service: &redash-service
  image: redash/redash:7.0.0.b18042
  depends_on:
    - postgres
    - redis
  env_file: /opt/redash/env
  restart: always
services:
  server:
    <<: *redash-service
    command: server
    ports:
      - "5000:5000"
    environment:
      REDASH_WEB_WORKERS: 4
  scheduler:
    <<: *redash-service
    command: scheduler
    environment:
      QUEUES: "celery"
      WORKERS_COUNT: 1
  scheduled_worker:
    <<: *redash-service
    command: worker
    environment:
      QUEUES: "scheduled_queries,schemas"
      WORKERS_COUNT: 1
  adhoc_worker:
    <<: *redash-service
    command: worker
    environment:
      QUEUES: "queries"
      WORKERS_COUNT: 2
  redis:
    image: redis:5.0-alpine
    restart: always
  postgres:
    image: postgres:9.5-alpine
    env_file: /opt/redash/env
    volumes:
      - /opt/redash/postgres-data:/var/lib/postgresql/data
    restart: always
  nginx:
    image: redash/nginx:latest
    ports:
      - "80:80"
    depends_on:
      - server
    links:
      - server:redash
    restart: always
## 配置數據庫
sudo docker-compose run --rm server create_db
## 啟動
sudo docker-compose up -d