The Guavus SQLstream Trial Azure MI is an Azurfe Machine Image that contains an Ubuntu Server with Oracle JDK 1.7 and lsb-core installed, and SQLstream s-Server, and SQLstream StreamLab installed in the Ubuntu environment. In runs in Microsoft Azure. Microsoft Azure Machine Images run as virtual machines in the cloud.
To use the Guavus SQLstream Trial AMI, it is helpful, but not mandatory, to have experience with Microsoft Azure. You will also need a ‘Microsoft account connected to a subscription or resource group. If you do not have such an account through your workplace, you will need to sign up for one.
To Install the Guavus SQLstream Azure MI:
From the Guavus SQLstream AMI launch page, you can do the following:
The Mochi demonstration application simulates clusters of failed logins at a bank, either by phone or web, as well as withdrawals or debits using the same customer id number. See the topic Running the Mochi Demo for more details.
To run the Mochi demo, click the “Start Mochi Demo” link. Like the installation of s-Server, this process takes some time to initiate. We recommend waiting 5 minutes to allow the Mochi demo to start.
Next, click the “View Mochi Demo” link. This will open a new tab or window in your browser pointing to the dashboard list. If it fails, it probably means you didn’t wait long enough. Close the window, wait a little longer, and try again.
When you’re done with the demo, you can either use the “Stop Mochi Demo” link to shut it down cleanly, or just terminate the EC2 instance if you’re done using it. If you are going to move on to use StreamLab, you need to stop the Mochi demo cleanly.
StreamLab is a web application development environment that automatically generates streaming SQL. StreamLab lets you set up projects where you can parse incoming streaming data, generate real time analytics for it, visualize it, so that you can take action on it. See The Using StreamLab Guide for more details.
The Launch page links to a video tutorial that walks you through using StreamLab.
SQLstream provides sample data to use with StreamLab. This is a continually-updating file in JSON format. For more information on using StreamLab with bus data, see the topic Using StreamLab to Build a Streaming Application in the Building Streaming Applications guide. To run StreamLab, click the Try StreamLab link.
You can download and install SQLstream s-Studio. Once you do, you can configure s-Studio to connect with your Microsoft Azure MI instance by taking the following steps:
When you’re done using the instance, you should stop it, either from the EC2 Management Console or from the command line.