Aggregations in PySpark and Elasticsearch are used to summarize, compute statistics, and analyze data in a distributed and efficient manner. Here's a brief overview of how aggregations work in both PySpark and Elasticsearch: **Aggregations in PyS…
Random access pagination with `search_after` in Elasticsearch can be useful when you want to efficiently paginate through a large dataset without having to fetch all the results from the beginning each time. `search_after` allows you to jump to a spe…