February 2018
Intermediate to advanced
382 pages
11h 33m
English
Content preview from Redis 4.x Cookbook
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Writing a Spark job for Redis
In the previous recipe, we talked about how to write a MapReduce job to read and write data in Redis. With the development of large-scale computing, over the years Apache Spark has gained more popularity than MapReduce. Apache Spark is an open source, big data distributed, computing engine. Compared to MapReduce, it provides better performance as well as more powerful and user-friendly APIs.
When it comes to using Redis in a Spark job, a connector for manipulating data in Redis with Spark is provided by Redis Labs. In this recipe, we'll show you how to use the Spark-Redis connector library to read and write data in Redis.
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