Docker

https://e.gitee.com/gudusoft/docs/824458/file/1969050?sub_id=5806941

If you are keen on virtualization and you have Docker Engine installed on your machine, you can also pull SQLFlow's docker image. However, do please note that:

• The SQLFlow docker version is for testing purposes only

• After getting the SQLFlow docker version installed, contact [e-mail] with your SQLFlow Id to obtain a 1-month temporary license.

• The docker version uses the same user management logic as SQLFlow On-Premise. It has the admin account and the basic account.

Admin Account
username: [e-mail]
password: admin

Basic Account
username: [e-mail]
password: user

The Docker Image

Pull the sqlflow docker image:

docker pull gudusqlflow/sqlflow-simple-trial:6.1.0.0

Create the SQLFlow Container

docker run -d -p 7090:8165 --name mysqlflow gudusqlflow/sqlflow-simple-trial:6.1.0.0

The 7090 in the above command will be the port to visit SQLFlow UI. You can change the port if 7090 is occupied in your machine.

The mysqlflow is the name of the container. For more information of the container creation, you can check the official Docker Doc.

Use http://<your ip>:<port> to reach sqlflow UI.

Troubleshooting

The following issue only occurs in Centos stream9, we don't foresee the error in Centos 7, Centos stream8, Ubuntu20 or Debian11.

1. Get License fail

If you got this error after launching the docker image, check firstly whether the docker image is running correctly:

docker ps -a

In case of the docker status is up, the try to go into the container with:

docker exec -it mysqlflow /bin/bash

Go to the SQLFlow jar folder:

cd wings/sqlflow/backend/lib

Try directly launch the jar file:

java -jar eureka.jar

The error in the following capture means that there is no enough memory for the docker.

You can assign more memory to the docker with:

mkdir /etc/systemd/system/docker.service.d
sudo vi /etc/systemd/system/docker.service.d/override.conf

and then enter

[Service]
ExecStart=
ExecStart=/usr/bin/dockerd --default-ulimit nofile=65536:65536 -H fd://

Save and run sudo systemctl daemon-reload and sudo systemctl restart docker.

sudo systemctl daemon-reload

sudo systemctl restart docker