Hi Folks This thread is related to the effective auto-suggest implementation. If the source of auto-suggest is very large dataset (Not over few defined elements) the word lexicons are preferred (Either word or field) over value lexicons. It is something contradictory to what is suggested over different other threads related to auto-suggest. If range index is created over all these elements (large in number and large with data) It will collect all the unique values which is no doubt very large in size than unique words for word lexicons. Though I am unaware exact size comparison in both the scenario .Let me know If I am wrong any where.
Any other idea to achieve performance effective auto-suggest implementation is highly appreciated . Thanks in advance Abhishek Srivastav Tata Consultancy Services Cell:- +91-9883389968 Mailto: abhishek5...@tcs.com Website: http://www.tcs.com ____________________________________________ Experience certainty. IT Services Business Solutions Outsourcing ____________________________________________ =====-----=====-----===== Notice: The information contained in this e-mail message and/or attachments to it may contain confidential or privileged information. If you are not the intended recipient, any dissemination, use, review, distribution, printing or copying of the information contained in this e-mail message and/or attachments to it are strictly prohibited. If you have received this communication in error, please notify us by reply e-mail or telephone and immediately and permanently delete the message and any attachments. Thank you
_______________________________________________ General mailing list General@developer.marklogic.com http://developer.marklogic.com/mailman/listinfo/general
