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Learning Apache Apex

Learning Apache Apex

By : Gundabattula, Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles
5 (1)
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Learning Apache Apex

Learning Apache Apex

5 (1)
By: Gundabattula, Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles

Overview of this book

Apache Apex is a next-generation stream processing framework designed to operate on data at large scale, with minimum latency, maximum reliability, and strict correctness guarantees. Half of the book consists of Apex applications, showing you key aspects of data processing pipelines such as connectors for sources and sinks, and common data transformations. The other half of the book is evenly split into explaining the Apex framework, and tuning, testing, and scaling Apex applications. Much of our economic world depends on growing streams of data, such as social media feeds, financial records, data from mobile devices, sensors and machines (the Internet of Things - IoT). The projects in the book show how to process such streams to gain valuable, timely, and actionable insights. Traditional use cases, such as ETL, that currently consume a significant chunk of data engineering resources are also covered. The final chapter shows you future possibilities emerging in the streaming space, and how Apache Apex can contribute to it.
Table of Contents (11 chapters)
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Custom dynamic partitioning


Now that we've discussed most of the concepts related to partitioning (distribution of tuples to the partitions, unifying the output of partitions, and use of the built-in stateless partitioners for both static and dynamic partitioning) let us consider an advanced topic: custom dynamic partitioning for potentially stateful operators.

As noted earlier, construction of the new set of partitions is done in the definePartitions() method of the Partitioner interface:

Collection<Partition<T>> definePartitions(Collection<Partition<T>> partitions, PartitioningContext context); 

It is important to remember that this function is invoked in the Application Master and not in any of the containers running the partitions.

The first argument is the list of currently existing partitions. We've already seen an example implementation of this method earlier in the context of defining partition masks and keys. That example creates a list of new partitions using...

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