Spark configuration articles

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Articles tagged with Spark configuration. There are 3 article(s) corresponding to the tag Spark configuration. If you don't find what you're looking for, please check related tags: access pattern, Ad-hoc polymorphism, Akka Distributed Data, Akka examples, algorithm analysis, algorithm complexity, Apache Beam configuration, Apache Beam internals, Apache Beam partitioning, Apache Beam PCollection.

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RPC in Apache Spark

The communication in distributed systems is an important element. The cluster members rarely share the hardware components and the single solution to communicate is the exchange of messages in the client-server model. Continue Reading →

Dynamic resource allocation in Spark

Defining the universal workload and associating corresponding resources is always difficult. Even if most of time expected resources will support the load, there always will be some interval in the year when data activity will grow (e.g. Black Friday). One of Spark's mechanisms helping to prevent processing failures in such situations is dynamic resource allocation. Continue Reading →