Hi there,
yes, the utility is converting m:n into relationships, see
https://github.com/peterneubauer/sql-import and
https://github.com/peterneubauer/sql-import/blob/master/src/test/java/com/neo4j/sqlimport/InsertTest.java
fro an eample.

Let me know if that helps!

Cheers,

/peter neubauer

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On Sat, Oct 8, 2011 at 11:14 PM, Michael Hunger
<[email protected]> wrote:
> What is your use-case for importing the DWH data?
>
> How are you going to model the data of the DWH in neo4j. How does the 
> domain-model look like?
>
> BI data is normally denormalized. So for creating a good graph structure it 
> would be sensible to normalize it during the import.
>
> 10k rows is not that much. You can import them using the normal neo4j 
> transactional facilities in a few seconds.
> For building up your graph model you probably want to index your data or 
> create category nodes to access certain parts of your domain model.
>
> Peter wrote a tool to import relational data into neo4j but that was 
> normalized data where each table was represented by a certain type of node in 
> the graph and foreign key relationships were converted to graph 
> relationships. I don't know if that also handled m:n connection tables 
> efficiently by converting them to relationships too.
>
> HTH
>
> Michael
>
> Am 08.10.2011 um 23:05 schrieb jiteshks:
>
>> I am very new to neo4j.So I don't know all of its features.I am reading its
>> documentation to understand how it works.
>>
>> My project's requirement is to import the data from a data warehouse( which
>> is an oracle db) once every month.We are thinking of implementing neo4j in
>> our project which means we will have to read the data from oracle db and put
>> it into neo4j.
>> There will be around 1 lakh rows(10^5) to be fetched from oracle db.What is
>> the fast/efficient way of doing it?
>>
>> Thanks!
>>
>> --
>> View this message in context: 
>> http://neo4j-community-discussions.438527.n3.nabble.com/Importing-data-from-oracle-to-neo4j-tp3406024p3406024.html
>> Sent from the Neo4j Community Discussions mailing list archive at Nabble.com.
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