300 is still not excessive. As far as memory goes, sure. If you’re faceting, grouping, or sorting docValues would _certainly_ help with memory consumption.
> On Feb 21, 2019, at 8:31 AM, Midas A <test.mi...@gmail.com> wrote: > > Hi , > Plelase help me here we have crossed 100+ fields per dyanmic fields and we > have three dynamic fields. > using docValues in dynamic fields will help in improving heap and query > time ? > > Regards, > Abhishek Tiwari > > > On Thu, Feb 21, 2019 at 9:38 PM Midas A <test.mi...@gmail.com> wrote: > >> Yes . We have crossed 100 fields . >> >> Would docValues help here ? >> >> What kind of information you want from my side ? >> >> On Thu, 21 Feb 2019, 9:31 pm Erick Erickson, <erickerick...@gmail.com> >> wrote: >> >>> There’s no way to answer this given you’ve provided almost no >>> information. >>> >>> Do note that once you get to more than a few hundred fields, >>> Solr still functions, but I’ve seen performance degrade and >>> memory increase. >>> >>> Best, >>> Erick >>> >>>> On Feb 21, 2019, at 7:54 AM, Midas A <test.mi...@gmail.com> wrote: >>>> >>>> Thanks for quick reply . >>>> >>>> we are creating search *query(keyword)* for dynamic field creation to >>>> use click ,cart and order data in search. >>>> >>>> But we are experiencing more heap and increase in query time . >>>> What could be the problem? can be anything related to it ? >>>> >>>> >>>> On Thu, Feb 21, 2019 at 8:43 PM Shawn Heisey <apa...@elyograg.org> >>> wrote: >>>> >>>>> On 2/21/2019 8:01 AM, Midas A wrote: >>>>>> How many dynamic field we can create in solr ?. is there any >>> limitation ? >>>>>> Is indexing dynamic field can increase heap memory on server . >>>>> >>>>> At the Lucene level, there is absolutely no difference between a >>>>> standard field and a dynamic field. The difference in Solr is how the >>>>> field is defined, nothing more. >>>>> >>>>> Lucene has no hard limitations on the number of fields you can create, >>>>> but the more you have the larger your index will probably be. Larger >>>>> indexes perform slower than smaller ones and require more resources >>> like >>>>> memory. >>>>> >>>>> Thanks, >>>>> Shawn >>>>> >>> >>>
