Ok let me combine all OrientDB results here:

34 sec (SB-Tree FULLTEXT)
select * from Abstract where appln_abstract LIKE "%of a pipe of the pipe%"

25 sec (Lucene FULLTEXT)
select * from Abstract where appln_abstract LIKE "%of a pipe of the pipe%"

3 sec (no index was set)
select * from Abstract where appln_abstract CONTAINSTEXT "of a pipe of the 
pipe"

This is what I have tested.

Am Dienstag, 19. August 2014 12:51:24 UTC+2 schrieb Enrico Risa:
>
> Hi  Curtis
>
> 3 sec without FullText index ?
> select * from Abstract where appln_abstract CONTAINSTEXT "of a pipe of 
> the pipe"
>
> can you post the explain of the previous query?
>
>
> How do you run the  LUCENE query?
>
>
>
>
>
>
>
> 2014-08-19 10:50 GMT+02:00 'Curtis Mosters' via OrientDB <
> [email protected] <javascript:>>:
>
>> Wow, I tested 
>>
>> select * from Abstract where appln_abstract CONTAINSTEXT "of a pipe of 
>> the pipe"
>>
>> on 280k entries without index. It was running 3 sec till I got a result.
>>
>> Then I tested again on the Lucene indexed 280k database and it took 20 
>> sec.
>>
>> So how can that be. I read that OrientDB is already indexing. But from 
>> Neo4j I know that Lucene is much faster. But why in my case it's 7x slower? 
>> Which indexer is used when you don't explicitly set an indexer? 
>>
>> Am Montag, 18. August 2014 21:33:30 UTC+2 schrieb Enrico Risa:
>>>
>>> Hi Curtis
>>>
>>> the LIKE operator doesn't use the FULLTEXT index.
>>>
>>> Could you retry the query with the CONTAINSTEXT 
>>> operator. It should be faster because rely on the FULLTEXT index
>>>
>>> http://www.orientechnologies.com/docs/1.7.8/orientdb.wiki/SQL-Where.html
>>> see here
>>>
>>> Enrico
>>>
>>>
>>> 2014-08-18 20:47 GMT+02:00 'Curtis Mosters' via OrientDB <
>>> [email protected]>:
>>>
>>> I now tried it with Lucene and the index creating is much *faster*. =)
>>>>
>>>> Also tested again both ways:
>>>>
>>>>    1. Importing without index: 120 sec + Indexing 80 sec
>>>>    2. Importing with index: 340 sec
>>>>    + extracted 274.139 records (686 records/sec) - 274.139 records -> 
>>>>    loaded 274.13
>>>>    8 vertices (686 vertices/sec) Total time: 339809ms [0 warnings, 0 
>>>>    errors]
>>>>    
>>>>    
>>>> So is Lucene actually faster when building up the index afterwards? Or 
>>>> is my computer really that crappy so that my 100% cpu usage really harming 
>>>> the benchmark?
>>>>
>>>> They query from above was done in ~25 sec, so it's also a bit faster. 
>>>> Can that be true?
>>>>
>>>>
>>>> Am Montag, 18. August 2014 17:23:40 UTC+2 schrieb Enrico Risa:
>>>>
>>>>> Hi Curtis
>>>>>
>>>>> can you post the result of
>>>>>
>>>>> explain select * from Abstract where appln_abstract LIKE "%of a pipe 
>>>>> of the pipe%"
>>>>>
>>>>> Thanks
>>>>> Enrico
>>>>>
>>>>>
>>>>> 2014-08-18 17:19 GMT+02:00 'Curtis Mosters' via OrientDB <
>>>>> [email protected]>:
>>>>>
>>>>>> I'm still testing around with OrientDB. Today I realized that 
>>>>>> OrientDB is 3 times slower on the same data, with the same indexer 
>>>>>> compared 
>>>>>> to MySQL. How can that be?
>>>>>>
>>>>>> So there are ~250k entries. FULLTEXT indexer are used on both db's. 
>>>>>> (from https://github.com/orientechnologies/orientdb/wiki/Indexes)
>>>>>>
>>>>>> And the test query is:
>>>>>> select * from Abstract where appln_abstract LIKE "%of a pipe of the 
>>>>>> pipe%"
>>>>>>
>>>>>> in OrientDB: 34 sec
>>>>>> in MySQL: 14 sec
>>>>>>
>>>>>> I tested this on them both 3 times and this is the average.
>>>>>>
>>>>>> Any ideas?
>>>>>>
>>>>>>  -- 
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>>>>>
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