For older version SQLFlow under Linux

This page is for SQLFlow 5.x.x.x

Please refer to the latest install manual if you are using the latest SQFlow(version > 6.0.0.0):

Linux

You can check this page for the SQLFlow berfore version

SQLFlow before Version 6

---

Installation Guide - Linux

Prerequisites

• SQLFlow on-premise version
• A linux server with at least 8GB memory (ubuntu 20.04 is recommended).

• Java 8

• Nginx web server.

• Port needs to be opened. (80, 8761,8081,8083. Only 80 port need to be opened if you setup the nginx reverse proxy as mentioned in the below)

Setup Environment (Ubuntu for example)

sudo apt-get update
sudo apt-get install nginx -y
sudo apt-get install default-jre -y	

CentOS

• How To Install Nginx on CentOS
• How To Install Java on CentOS

Upload Files

create a directory :

# it must be created start with root path
sudo mkdir -p /wings/sqlflow

upload your zip file including backend and frontend file to sqlflow folder, and unzip like this :

unzip sqlflow.zip

You should get files organized like this:

/wings/
└── sqlflow
    ├── backend
    │   ├── bin
    │   │   ├── backend.bat 
    │   │   ├── backend.sh
    │   │   ├── eureka.bat
    │   │   ├── eureka.sh
    │   │   ├── eureka.vbs
    │   │   ├── gspLive.bat
    │   │   ├── gspLive.sh  
    │   │   ├── gspLive.vbs  
    │   │   ├── monitor.bat
    │   │   ├── monitor.sh 
    │   │   ├── sqlservice.bat
    │   │   ├── sqlservice.sh 
    │   │   ├── sqlservice.vbs
    │   │   ├── stop.bat
    │   │   ├── stop.sh
    │   ├── lib
    │   │   ├── eureka.jar
    │   │   ├── gspLive.jar  
    │   │   ├── sqlservice.jar
    │   ├── conf
    │   │   ├── gudu_sqlflow_license.txt     
    │   │   ├── gudu_sqlflow.conf     
    │   ├── data
    │   │   ├── job  
    │   │   │   ├── task     
    │   │   │   ├── {userid}   
    │   │   ├── schema     
    │   │   ├── session     
    │   │   ├── version     
    │   ├── log
    │   ├── tmp
    │   │   └── cache  
    └── frontend
        ├── config.public.json
        ├── images
        │   ├── check.svg
        │   ├── Join.svg
        │   ├── pic_Not logged in.png
        │   └── visualize.svg
        ├── index.********************.css
        ├── index.********************.css
        ├── index.********************.css
        ├── index.********************.css
        └── index.html
        └── lang
        ├── page.*********************.js
        ├── page.*********************.js
        ├── page.*********************.js
        ├── page.*********************.js
        ├── public.*********************.js
        ├── widget
        │   ├── index.js
        │   ├── sqlflow-library.version.css
        │   └── sqlflow-library.version.js

set folder permissions :

sudo chmod -R 755 /wings/sqlflow

Nginx Reverse Proxy

1. Config Nginx

open your nginx configuration file ( at /etc/nginx/sites-available/default under ubuntu ), add a server :

server {
	listen 80 default_server;
	listen [::]:80 default_server;

	root /wings/sqlflow/frontend/;
	index index.html;

	location ~* ^/index.html {
		add_header X-Frame-Options deny; # remove this line if you want embed sqlflow in iframe
		add_header Cache-Control no-store;
	}

	location / {
		try_files $uri $uri/ =404;
	}
	
	location /api/ {
		proxy_pass http://127.0.0.1:8081/;
		proxy_connect_timeout 600s ;
		proxy_read_timeout 600s;
		proxy_send_timeout 600s;
		
		proxy_set_header Host $host;
		proxy_set_header X-Real-IP $remote_addr;
		proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
		proxy_set_header User-Agent $http_user_agent;  
	}
}

note that 8081 in proxy_pass http://127.0.0.1:8081/ should be consistent to gspLive.jar's port.

/api is mapped to http://127.0.0.1:8081 in the above configration. This is useful if you company doesn't allow access 8081 port from the external.

2. modify frontend configuration file config.private.json

• Open the configration file "/wings/sqlflow/frontend/config.private.json"

• Modify the ApiPrefix attribute

  "ApiPrefix": "/api"

Customize the port

If you don't want to change the default service port you can just ignore this section. Otherwise this section will show you how to customize the port.

1. Default port

1. Web port is 80

2. SQLFlow backend service port:

File	Port
eureka.jar	8761
gspLive.jar	8081
sqlservice.jar	8083

2. Modify the web port

Change the default web port from 80 to 9000 (or any port you like).

3. Modify java service port

Change the default gspLive port from 8081 to 9001(or any port you like).

Step 1: Change the port in nginx config file

Step 2: Change the port in gspLive.sh(gspLive.bat)

Start Backend Services

start service in background:

sudo /wings/sqlflow/backend/bin/backend.sh

please allow 3-5 minutes to start the service.

use ps -ef|grep java to check those 3 processing are running.

ubuntu   11047     1  0 Nov02 ?        00:04:44 java -server -jar eureka.jar
ubuntu   11076     1  0 Nov02 ?        00:04:11 java -server -Xmn512m -Xms2g -Xmx2g -Djavax.accessibility.assistive_technologies=  -jar sqlservice.jar
ubuntu   11114     1  0 Nov02 ?        00:05:17 java -server -jar gspLive.jar

Start Frontend Services

start your nginx :

sudo service nginx start

or reload :

sudo nginx -s reload

open http://yourdomain.com/ to see the SQLFlow.

open http://yourdomain.com/api/gspLive_backend/doc.html?lang=en to see the Restful API documention. OR

open http://yourdomain.com:8081/gspLive_backend/doc.html?lang=en to see the Restful API documention.

Gudu SQLFlow License file

If this is the first time you setup the Gudu SQLFlow on a new machine, then, you will see this license UI:

1. You send us the Gudu SQLFlow Id (6 characters in red).

2. We will generate a license file for you based on this id.

3. You upload the license file by click the "upload license file" link.

Backend Services Configuration

sqlflow provides several optioins to control the service analysis logic. Open the sqlservice configuration file(conf/gudu_sqlflow.conf)

• relation_limit: default value is 1000. When the count of selected object relations is greater than relation_limit, sqlflow will fallback to the simple mode, ignore all the record sets. If the relations of simple mode are still greater than relation_limit, sqlflow will only show the summary information.

• big_sql_size: default value is 4096. If the sql length is greater than big_sql_size, sqlflow submit the sql in the work queue and execute it. If the work queue is full, sqlflow throws an exception and return error message "Sorry, the service is busy. Please try again later."

Sqlflow client api call

See sqlflow client api call

1. Get userId from gudu_sqlflow.conf

• Open the configration file "/wings/sqlflow/backend/conf/gudu_sqlflow.conf"

• The value of anonymous_user_id field is webapi userId

  anonymous_user_id=xxx

• Note: on-promise mode, webapi call doesn't need the token parameter

1. Test webapi by curl

   • test sql:

     select name from user

   • curl command:

     curl -X POST "http://yourdomain.com/api/gspLive_backend/sqlflow/generation/sqlflow" -H "accept:application/json;charset=utf-8" -F "userId=YOUR USER ID HERE" -F  "dbvendor=dbvoracle" -F "sqltext=select name from user"

   • response:

     {
       "code": 200,
       "data": {
         "dbvendor": "dbvoracle",
         "dbobjs": [
           ...
         ],
         "relations": [
           ...
         ]
       },
       "sessionId": ...
     }

   • If the code returns 401, please check the userId is set or the userId is valid.

Enable Regular Job

If you need to enable regular job feature on your sqlflow on-premiser, you will also need to install Clickhouse on your server. Check here for Clickhouse installation:

Clickhouse Installation