Thanks to the inverted index, terms are only looked up once per segment. So I don't think the number of characters to compare would have any performance impact.
One benefit of the term filter though might be that the terms dictionary index can know that it is not contained in the terms dictionary without going to disk. On Tue, Apr 29, 2014 at 6:30 AM, arthurX <[email protected]> wrote: > 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<https://groups.google.com/d/msgid/elasticsearch/cc2f2637-42fd-49b3-9ef9-2560f87a9cc2%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- Adrien Grand -- 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/CAL6Z4j7PVkFfpoTHMRNXq2YgnE%3D%2B32kEbpgp4mOToYAY6%3DQE7A%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
