You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: dev.md
+4-4Lines changed: 4 additions & 4 deletions
Original file line number
Diff line number
Diff line change
@@ -42,7 +42,7 @@ The releaser, which, in most cases, is a developer, can export a running Virtual
42
42
According to this [tutorial](https://www.techrepublic.com/article/how-to-import-and-export-virtualbox-appliances-from-the-command-line/), releasers can call the VBoxManage command to export a VM. We have written a scrip to do this. Simply run below script to export our playground. This script will create a file named `SQLFlowPlayground.ova`, we can import the file through virtual box GUI.
43
43
44
44
```bash
45
-
./publish
45
+
./release.sh
46
46
```
47
47
48
48
### For End-users
@@ -55,10 +55,10 @@ To run SQLFlow on a desktop computer running Windows, Linux, or macOS, you need
55
55
```
56
56
1. optional, the [sqlflow](https://github.com/sql-machine-learning/sqlflow/blob/develop/doc/run/cli.md) command-line tool released by SQLFlow CI.
57
57
58
-
If you have VirtualBox installed, you can import the `SQLFlowPlayground.ova` file and start a VM. After that, you can log in the system through the VirtualBox GUI or through a ssh connection like below. The default password of `root` is `vagrant`.
58
+
If you have VirtualBox installed, you can import the `SQLFlowPlayground.ova` file and start a VM. After that, you can log in the system through the VirtualBox GUI or through a ssh connection like below. The default password of `root` is `sqlflow`.
59
59
```bash
60
60
ssh -p2222 root@127.0.0.1
61
-
root@127.0.0.1's password: vagrant
61
+
root@127.0.0.1's password: sqlflow
62
62
```
63
63
Once logged in the VM, you will immediately see a script named `start.bash`, just run the script to start SQLFlow playground. It will output some hint messages for you, follow those hints, after a while, you will see something like `Access Jupyter NoteBook at: http://127.0.0.1:8888/...`, it means we are all set. Copy the link to your web browser and you will see SQLFlow's Jupyter Notebook user interface, Enjoy it!
64
64
```bash
@@ -70,5 +70,5 @@ Or, if you has an AWS or Google Cloud account, you can upload the `.ova` file to
70
70
Anyway, given a running VM, the end-user can run the following command to connect to it:
0 commit comments