Well it works under Browser Cypher. So it should be fin. But I changed it:

USING PERIODIC COMMIT 10000
LOAD CSV WITH HEADERS FROM "file:///C:/test/tls206_part01.txt" AS csvLine
CREATE (p:Person { person_id: toInt(csvLine.person_id), doc_std_name_id: 
csvLine.doc_std_name_id , person_name: csvLine.person_name })



And still nothing happening. Another idea?

Am Donnerstag, 28. August 2014 14:37:15 UTC+2 schrieb Aru Sahni:
>
> Your file URI seems to be malformed. Here's the correct syntax for 
> Windows: 
> http://blogs.msdn.com/b/ie/archive/2006/12/06/file-uris-in-windows.aspx
>
> ~A
>
>
> On Thu, Aug 28, 2014 at 8:34 AM, 'Curtis Mosters' via Neo4j <
> [email protected] <javascript:>> wrote:
>
>> Well I will definitily test this. But I don't know how to start this 
>> command with the shell:
>>
>> http://i.imgur.com/uiYbq0O.png
>>
>> Any tips for windows user? Nothing happening.
>>
>> Am Donnerstag, 28. August 2014 11:39:59 UTC+2 schrieb Michael Hunger:
>>>
>>> Hi Curtis,
>>>
>>> if you do this:
>>>
>>> USING PERIODIC COMMIT 10000
>>> LOAD CSV WITH HEADERS FROM "file:C:/test.txt" AS csvLine
>>> CREATE (:Person { person_id: toInt(csvLine.person_id), name: 
>>> csvLine.name });
>>>
>>> It should do between 10k-30k nodes per second.
>>> It will be slower if you have a unique constraint in place.
>>>
>>> Please run it in the Neo4j-Shell, it is much easier to handle there.
>>>
>>> As you are running on windows, with 4GB in total, please also make sure 
>>> that your mmio config in neo4j.properties is not too large.
>>>
>>> Perhaps 100MB for nodes and 500MB for rels and another 250MB for 
>>> properties.
>>>
>>> On windows the memory mapping memory is taken from the heap.
>>>
>>> You should see some info about that in in your graph.db/messages.log 
>>> files after the startup, feel free to share that file with us then we can 
>>> help you to set up your config.
>>>
>>> Michael
>>>
>>> Am 28.08.2014 um 11:11 schrieb 'Curtis Mosters' via Neo4j <
>>> [email protected]>:
>>>
>>> Yesterday evening I was running it 52 minutes. And then I got an 
>>> "Unknown Error".
>>>
>>> So now I tested it now with the "USING PERIODIC COMMIT 10000" and now 
>>> its about 60 minutes. Then the same error.
>>>
>>> I now looked into the graph.db folder and its overall 1,75 GB big. The 
>>> propertystore file ist 370 mb e.g.
>>>
>>> So what else can I do do get it running in the browser? Or could I run 
>>> this task in the Neo4jShell?
>>>
>>> Am Donnerstag, 28. August 2014 00:16:07 UTC+2 schrieb Chris Vest:
>>>>
>>>> All transaction state is currently kept in memory on the java heap, and 
>>>> 20+ mio. changes is too much to fit in a 4 GB heap.
>>>> When you have too much stuff on the heap, it will manifest with those 
>>>> “GC overhead limit exceeded” and the database will run slow, though there 
>>>> are other things that can produce similar symptoms.
>>>>
>>>> Try putting USING PERIODIC COMMIT 10000 in front of your LOAD CSV 
>>>> query. This will periodically commit the transaction, thus limiting the 
>>>> transaction state kept in memory. Unfortunately it will also break the 
>>>> atomicity of the transaction.
>>>>  
>>>> --
>>>> Chris Vest
>>>> System Engineer, Neo Technology
>>>> [ skype: mr.chrisvest, twitter: chvest ]
>>>>
>>>>  
>>>> On 27 Aug 2014, at 22:31, 'Curtis Mosters' via Neo4j <
>>>> [email protected]> wrote:
>>>>
>>>> Let's say I have:
>>>>
>>>> LOAD CSV WITH HEADERS FROM "file:C:/test.txt" AS csvLine
>>>> CREATE (p:Person { person_id: toInt(csvLine.person_id), name: csvLine.name 
>>>> })
>>>>
>>>> I run this query in the browser. I know that it's not the fastest way 
>>>> and I should think about using the batch importer. But I really like that 
>>>> way somehow and want to speed it up.
>>>>
>>>> So when I ran this the first time, after like 2 or 3 minutes I got an 
>>>> erro saying "GC overhead limit exceeded". So It set
>>>>
>>>> wrapper.java.initmemory=4096
>>>> wrapper.java.maxmemory=4096
>>>>
>>>> Now the error does not come up. But it's still slow and I can't see how 
>>>> much time is still needed. So if you have tips on doing this, I would be 
>>>> very thankful. =)
>>>>
>>>> PS: the file is 2 gb big and has like 20 mio entries
>>>>
>>>> -- 
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>>>>
>>>>
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