Then, install the SQL Anywhere Python Driver through pip.Ĭreate a file called helloworld.py with the following contents.Ĭonn = nnect(uid='dba', pwd='sql', eng='hellosensor', dbn='hellosensor' ) This can be installed through the Python Package Manger ( pip). In order to connect to SQL Anywhere, we will need to install the SQL Anywhere Python driver. Python is the preferred development language for the Raspberry Pi, and it comes preinstalled, so that is what we will use. Start the database server (the -ud switch starts the server as a background daemon). We will call this database hellosensor.db. Next, we need to initialize an empty database. Create a directory to store your application. Now that everything is setup, it it time to create a small application. This should return the current version of the server (e.g. To test out the environment, try executing the following. You can add this to the current shell’s environment by sourcing the configuration files. The SQL Anywhere executable and libraries are not added to the PATH and LD_LIBRARY_PATH environment variables automatically. Install SQL Anywhere using the key your received earlier over email (accept all of the defaults) Download and extract the SQL Anywhere Developer Edition. Open a shell on your Raspberry Pi (either through SSH or from the desktop). Register for the latest SAP SQL Anywhere 16 Developer Edition: Īfter registering you will be sent a registration key over email. Getting Started with SQL Anywhere on Raspberry Pi Shell access to Raspberry Pi (either through SSH or connected display).Raspberry Pi installed with Raspbian (other Linux distributions and other ARMv6 and ARMv7 devices may work as well, but some commands may be different).
If you want to test it out, go grab yourself a Raspberry Pi board for ~$35 and follow the steps below. Well, we thought so too! That is why I am happy to announce today that SAP SQL Anywhere 16 is now available on Linux ARM
This trend was very interesting for us because SQL Anywhere is a database which is designed to run in embedded application at the edge of a network. These ARM-based devices are excellent for embedded applications that run at the edge of a network. One example of these is the incredibly affordable Raspberry Pi. In the last couple of years there has been an explosion of small, low-power, ARM-based computing devices that have hit the market.
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