![]() ![]() With this “V2” architecture based on Spark Connect, Databricks Connect becomes a thin client that is simple and easy to use. Spark Connect introduces a decoupled client-server architecture for Apache Spark that allows remote connectivity to Spark clusters using the DataFrame API and unresolved logical plans as the protocol. Because the client application is decoupled from the cluster, it is unaffected by cluster restarts or upgrades, which would normally cause you to lose all the variables, RDDs, and DataFrame objects defined in a notebook.įor Databricks Runtime 13.0 and higher, Databricks Connect is now built on open-source Spark Connect. ![]() Shut down idle clusters without losing work. ![]() You do not need to restart the cluster after changing Python library dependencies in Databricks Connect, because each client session is isolated from each other in the cluster. Iterate quickly when developing libraries. Step through and debug code in your IDE even when working with a remote cluster. I’m also a big fan of the compose window, although I do wish the Send button was located at the top like Mail, rather than in the lower left corner.Databricks Connect for Databricks Runtime 13.0 and higher currently supports running only Python applications. While rival apps offer only basic archive and delete options, Spark adds useful options like Move and Move to Spam, a convenient way to quickly act on junk mail that slips through the cracks. Users can act upon individual messages in four different ways, with a pair of customizable actions available on either side when swiping left or right in the list. That said, Spark absolutely nails gestures. Users can access different options by swiping left or right. Spark for Mac gestures aren’t just about archiving or deleting messages. More troublesome is the frugal support for contextual menu shortcuts, which ironically only work in the message browser. Spark can only preview up to three lines of message list text (versus five in Mail), and although you can open individual missives in their own window by double-clicking in the list, this method doesn’t work from the message browser. In terms of productivity, Mail retains a few advantages. (The 1.1 update also adds support for Apple’s new Touch Bar feature on late-model MacBook Pro models, although I didn’t have one available for testing at the time of this review.) There are a few unique touches, such as the ability to easily move messages between different email accounts-a favorite Apple Mail feature absent from many third-party clients. The user interface is intuitive and easy to navigate, as well as familiar to users of rival email clientĪirmail. ![]() There’s a narrow dark sidebar along the left side where accounts and folders reside, a threaded conversation browser for the selected email at right which occupies most of the window, and a message list sandwiched in-between. Spark for Mac takes most of its user interface cues from the iPad version, which adheres closely to the triple pane layout established by Apple Mail. Featuring an intuitive user interface that retains what’s great about Apple Mail, Spark for Mac is built with productivity in mind. ![]()
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