If you do not supply the port parameter, port 9000 will be used. port: specifies the main port number for the application server. userdir: specifies the user folder location.Įxample (Windows): -userdir:c:/server-data There are other options that can be passed at the command line. If you do not specify the webserverport value then the webserver portion will not be started. In this example the server is given a GB of memory and we have told it where the user directories live and what port for the webserver to use. $ sudo java -Xmx1024m -jar /data/DataCrow/dc-server/datacrow-server.jar -webserverport:8080 -userdir:/data/DataCrow Since we have extracted DataCrow in the /data/DataCrow/dc-server directory we would start the server from the command line as such. The server has no graphical user interface (GUI) which means it relies fully on the command line. This will extract to a dc_server folder and we can now start the DataCrow server Create a directory (ex: DataCrow) and copy the datacrow_4_1_0_server_zipped.zip file to it. In this example I have a 2 TB drive mounted on /data to use. Since we are running this off a Linux system it is a good idea to create a folder and setup a group and add users to the group and set permissions, this way it easy to access it. Data Crow can use existing user folders (databases and settings) or can initialize a new user folder to start with a clean slate. Downloading and Configuring DataCrowīefore we start running DataCrow we need to create a few folders. For the clients we will need to download the DataCrow installer package for the appropriate OS. For the server portion we will need to download Portable Server Edition (Headless). So what do we need to create a DataCrow server?ĭownload the Server and Client package from. Once your collection resides within Data Crow you can even run your own server and allow your family and friends to view the information via the web or even by using a full Data Crow client. This combined with the file import, which can parse information from your e-books, software, images, music and movie files you won’t be doing a lot of typing.Īre you collecting something which is not (fully) covered by one of the standard collection modules? No problem, either customize an existing module by adding the fields you need or create your own module entirely. Using the excellent online services you can instantly retrieve the information on your books, software, games and movies. Always wanted to manage all your collections in one product? You want a product you can customize to your needs? Your search ends here! Using Data Crow allows you to catalog all your collectibles, no matter how large your collection is. What Is DataCrow?ĭata Crow is the ultimate media cataloger and media organizer. For Windows and MAC OS X clients download the latest from. For Fedora 23 just install java-1.8.0-openjdk. The only thing needed to run DataCrow is Java version 1.7 or higher. In this case Windows 7, MAC OS X and Fedora 23 Linux. A central place on the home network to manage and access all your content and goodies using Fedora 23 Linux as our server and any client you want. The reason is simple and goes along with a previous post in building a media server. The last configuration I mentioned is the one we are going to be covering in this post, client / server. DataCrow can be run in several different ways, portable, standalone and also as a client / server configuration. I have written about this program years back and feel it needs revisited with improvements. One issue we have is keeping track of them, but with technology and many computers we have options at our disposal. Let’s face it, we collect things, many different things.
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