Hello there, I started using Solr, which utilizes nested documents.
There are about 6 million parent documents and about 15 million child documents. In other words, each parent document has an average of 2-3 child documents. (In reality, there is a significant bias.) In Solr without child documents, the index size is 22.88 GB, and in Solr with child documents, it is 24.55 GB. So the size of the child documents is 1.67GB. I am running on SolrCloud and the number of shards is 1. The search query is working well for now, but there is a delay in updating the documents. Throughput for updates: 400,000/hour Parallelism (Lambda concurrency): 20 Number of updated documents per update request: 40 In case of error, retry up to 3 times. With the above settings, I was able to handle the Solr timeout of 15 seconds without any problems, but when I started updating child documents as well, timeouts occurred frequently. What could be the cause? There was no noticeable difference in the Solr metrics, except that the CPU usage of about 10% increased by 2-3%. Are there too many documents to update at one time? Or is the update throughput too high? Are there not enough shards for the number of documents? Thanks, Taisuke
