Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Heap Sizing

The video tutorial discusses the importance of configuring the heap size in Elasticsearch for optimal performance. It explains that the default heap size is often insufficient and suggests allocating about half of the physical RAM to Elasticsearch and the other half to the OS for caching. Smaller heaps can lead to faster garbage collection, improving performance. The tutorial also covers methods to set the heap size and warns against exceeding 32 GB to avoid performance issues. The optimal configuration is to use 64 GB of RAM, dedicating 32 GB to Elasticsearch and the rest to Lucene and the OS.

What is the default heap size for Elasticsearch, and why is it considered insufficient?

How should physical memory be allocated between Elasticsearch and the operating system for optimal performance?

Why is it recommended to leave half of the physical memory for the operating system when configuring Elasticsearch?

What methods can be used to set the heap size for Elasticsearch?

What are the implications of setting the heap size above 32 gigabytes for Elasticsearch?