May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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How it works...
Now, the question arises: how do we decide how much executor memory we should allocate? To do this calculation, let's think of a hypothetical cluster with the following nodes:
- 16 nodes
- 16 cores per node
- 256 GB RAM per node
Every node has one worker, each worker has multiple executors, and each executor has multiple tasks as shown in the preceding diagram. So, before deciding how much memory we should allocate to each executor, we have to decide how many executors we would like per core. One extreme can be having one executor per core and allocating 15 GB of RAM per executor. There are two challenges here:
- The system overhead also needs some CPU cycles and memory. So let's give it one core and 16 GB RAM, and that leaves ...
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