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Learning Apache Apex

Learning Apache Apex

By : Gundabattula, Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles
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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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Grafana visualization


Grafana is an open source metric visualization suite that can be used to build dashboards from various widgets and data sources. Grafana is traditionally used for visualizing time series data for infrastructure and application monitoring, but it is generic and can be used with pretty much any data source that produces time series and tabular data. Thanks to its monitoring orientation Grafana is suitable for low-latency visualization of frequently changing data. We will use this capability to display the top hashtags and counts, and have them updated as changes occur in the application (with perhaps one to two seconds of end-to-end latency).

In order to use Grafana, we need to tap into the data that is available from the Pub/Sub server. The Pub/Sub server has an HTTP interface, but the data format of the queryable state protocol of the Apex application needs to be adapted to what Grafana requires.

There are two options to accomplish this:

  • Implementing a new datasource that...

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