The use case is that i am creating nodes for users in my organization, and 
then provide facility to search for the users. 


On Tuesday, September 2, 2014 11:56:51 AM UTC+5:30, Michael Hunger wrote:
>
> If you have an efficient implementation of that, right now it might be. 
> We'll be adding full FTS functionality to cypher in a later release,
> right now you can use the legacy full-text-index as you've seen in my blog 
> post.
>
> In terms of performance -> Neo4j uses Lucene under the hood, you can 
> certainly find comparisons between Lucene's approach and implementations 
> using Tries.
>
> Also, what is your actual use-case if wildcard search is so critical for 
> you?
>
> Michael
>
> Am 02.09.2014 um 06:09 schrieb Mukesh Khandelwal <[email protected] 
> <javascript:>>:
>
> Is it better to use a Patricia  (Trie) data structure to store the nodes 
> that need to be 'wildcard searched' ?
>
> How does the Neo4j match compare with storing the data in a Trie data 
> structure in terms of performance, memory, etc?
>
>
>
> On Monday, September 1, 2014 1:19:00 PM UTC+5:30, Michael Hunger wrote:
>>
>> You can still use FullTextSearch with legacy indexes and neo4j 2.0, see 
>> here: http://jexp.de/blog/2014/03/full-text-indexing-fts-in-neo4j-2-0/
>>
>> Am 12.08.2014 um 22:42 schrieb Wes Freeman <[email protected]>:
>>
>> No. Schema/label indexes are only exact lookups yet.
>>
>> Wes
>>
>> On Tue, Aug 12, 2014 at 4:34 PM, Alan Robertson <[email protected]> wrote:
>>
>>>  Would it speed up (via indexes) if you added *'n.name <http://n.name/> 
>>> >= "Michael"'*   ?
>>>
>>>
>>>
>>> On 08/12/2014 01:13 PM, Wes Freeman wrote:
>>>  
>>> The way you need to do this (currently) is with the regex syntax: 
>>>
>>>  MATCH (n) where n.name =~ "Michael.*" RETURN n
>>>
>>>
>>> http://docs.neo4j.org/chunked/milestone/query-where.html#_regular_expressions
>>>  
>>>  Wes
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