How is the Prefix filter compared to Term filter performance-wise? For example, matching "o1382334" with prefix filter of "o" only need to check the first letter, whereas using term filter need to match "o1382334" eight letters. Assume they match equal number of documents, it seems that prefix filter is more "lightweight". Would someone having an understanding of the underlying algorithm of how term filter works comment on this?
A related problem is: is it good for performance to use very long string as term filter, like a md5 hash instead of a simple integer ID? -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/cc2f2637-42fd-49b3-9ef9-2560f87a9cc2%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
