Thanks Adrien On Wed, Jun 21, 2017 at 5:33 PM, Adrien Grand <jpou...@gmail.com> wrote:
> The file is mapped when the index reader is open. Retrieving one or more > fields always requires a single disk seek since all values for a given > document are store together, just make sure to perform a single call to > IndexReader.document with the list of fields that you want to retrieve > rather than call this method once for each field, or you will pay the price > for decompression every time. > > Le mer. 21 juin 2017 à 10:44, aravinth thangasami < > aravinththangas...@gmail.com> a écrit : > > > Hi all, > > > > We are doing experiment, that combining multiple fields into single field > > as using it as StoredField > > While retrieving, Instead of retrieving multiple time, we can do with the > > Single call. > > we thought of avoiding multiple disk calls for reading multiple fields. > > > > we have an index with million documents and each document having 1000 > > Fields. > > we are using Lucene 4.10 > > > > Initially, we combined formed JSON object with multiple key values, > > converted to String and stored as a single storedField. > > we found that converting JSON to String and getting JSON back from String > > consumes more time than the individual reading of fields > > > > further, Instead of using JSON, we thought of using HashMap, so that we > can > > serialise and store as StoredField. While retrieving we deserialize to > get > > back HashMap. > > > > Still, we could get any improvement compared to retrieving as multiple > > individual single field. > > > > > > Please clarify me for these questions. > > > > How bytebuffer loaded for stored fields in a large document with 1000 > > fields? > > Is there any size limitation for loading bytebuffer? > > > > When the mapping of storedFields happen? > > Does it happen during indexsearcher opening? > > > > Is there any better approach to achieve what we are doing? > > > > > > > > > > Thanks > > Aravinth > > >
