Hi Siang,

all hash indexes do not support range queries (they are based on hash of
course, not on a tree).
But standard NOT_UNIQUE should, so if it doesn't work I suggest you to
write a small test case or all the steps to replicate the problem, we'll be
happy to look at that.

Thanks



2015-01-30 9:55 GMT+01:00 Siang Hwee Goh <[email protected]>:

> Hi Luigi,
>
> I have tried on NOT_UNIQUE and NOT_UNIQUE_HASH_INDEX. Both also not
> working. Based on my understanding from
> https://github.com/orientechnologies/orientdb/wiki/Indexes, I thought
> that will be the most fit at my scenario. Do you have any suggestion?
> Thanks.
>
> On Friday, January 30, 2015 at 4:43:25 PM UTC+8, Luigi Dell'Aquila wrote:
>>
>> Hi Siang,
>>
>> which kind of index did you define? Not all types of index support range
>> queries
>>
>> Luigi
>>
>>
>> 2015-01-30 9:05 GMT+01:00 Siang Hwee Goh <[email protected]>:
>>
>>> I am evaluating OrientDB right now and I tried to inserts 1.2 million
>>> simple records inside one of the database. It is an Employee class with
>>> just few columns.
>>>
>>> When I tried to perform the query on SELECT * FROM Employee WHERE salary
>>> = 1343 it was very slow and ended up no result being returned. I did some
>>> indexing and now it became very fast.
>>> However, when I tried to again change the query a little bit to this
>>> SELECT * FROM Employee WHERE salary >= 3330 AND salary <= 3330 it ended up
>>> return nothing again and prompted me the transactions is more than 50,000
>>> records and ... As a matter of fact, there is only 1 record inside which
>>> fulfill this search criteria. Could anyone let me know how to tune the
>>> performance in such case? Thanks.
>>>
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