If you want to test a graph database, it doesn't make sense to return all
data. What you want to do are graph queries.
Otherwise you can just use any KV-store or filesystem if it is just about
returning all the data stored in the database.

Curl is a command line tool for executing http requests on unix systems. It
also exists for windows.

http://localhost:7474/db/data/transaction/commit is an http API url, not
something you point your browser to

Cheers

Michael



On Tue, Mar 25, 2014 at 4:53 AM, Rio Eduardo <[email protected]> wrote:

> yes I want to return all nodes to testing neo4j. And I just tested it in
> higher specification of pc and it said "Resultset too large (over 1000
> rows)". And I just tested it again in Neo4j Shell and it said "68351 rows
> and 1580 ms" and when I open http://localhost:7474/db/data/
> transaction/commit<http://www.google.com/url?q=http%3A%2F%2Flocalhost%3A7474%2Fdb%2Fdata%2Ftransaction%2Fcommit&sa=D&sntz=1&usg=AFQjCNHGD4NjsoNAMum_EuZt9-dMZFMp0g>,
> it shows me blank page. Please help me how to run this statement => time
> curl -o result.json -d'{"statements":[{"statement":"match (n) return
> id(n)"}]}' -H accept:application/json -H content-type:application/json.
>
> Thank you.
>
>
> On Tuesday, March 25, 2014 5:27:58 AM UTC+7, Michael Hunger wrote:
>
>> Why would you want to return all nodes in the first place?
>>
>> If you really want to do that, use the transactional http endpoint and
>> curl that streams the response:
>>
>> I tested it with a db of 100k nodes, it takes 0.9 seconds to transfer
>> them (1.5MB) over the wire
>>
>> time curl -o result.json -d'{"statements":[{"statement":"match (n)
>> return id(n)"}]}' -H accept:application/json -H
>> content-type:application/json http://localhost:7474/db/data/
>> transaction/commit<http://www.google.com/url?q=http%3A%2F%2Flocalhost%3A7474%2Fdb%2Fdata%2Ftransaction%2Fcommit&sa=D&sntz=1&usg=AFQjCNHGD4NjsoNAMum_EuZt9-dMZFMp0g>
>>
>>   % Total    % Received % Xferd  Average Speed   Time    Time     Time
>> Current
>>
>>                                  Dload  Upload   Total   Spent    Left
>> Speed
>>
>> 100 1552k    0 1552k  100    55  1708k     60 --:--:-- --:--:-- --:--:--
>> 1707k
>>
>>
>> real 0m0.915s
>>
>> user 0m0.153s
>>
>> sys 0m0.409s
>>
>> wuqour:neo4j-enterprise-2.0.1 mh$ ls -lh result.json
>>
>> -rw-r--r--  1 mh  staff   1,5M 24 Mär 23:24 result.json
>>
>> If you transfer all their properties by using "return n", it takes 1.4
>> seconds and results in 4.1MB transferred.
>>
>> If you just want to know how many nodes are in your db. use something
>> like this instead:
>>
>> match (n) return count(*);
>> +----------+
>> | count(*) |
>> +----------+
>> | 100052   |
>> +----------+
>> 1 row
>> 186 ms
>>
>>
>>
>> On Mon, Mar 24, 2014 at 8:46 PM, Javad Karabi <[email protected]> wrote:
>>
>>> make sure you are setting up your indexes.
>>> this was something that i did not do at first, but once i realized how
>>> important it was, my queries were incredibly fast.
>>> also, profile your queries by prepending "profile " to the query, and
>>> try to decrease _db_hits.
>>>
>>> if you can provide the output of "profile ...", that would be awesome.
>>>
>>>
>>> On Monday, March 24, 2014 12:03:58 PM UTC-5, Rio Eduardo wrote:
>>>>
>>>> I'm testing my thesis which is about transforming from relational
>>>> database to graph database. After transforming from relational database to
>>>> graph database, I will test their own performance according to query
>>>> response time and throughput. In relational database, I use MySQL while in
>>>> graph database I use Neo4j for testing. I will have 3 Million more nodes
>>>> and 6 Million more relationships. But when I just added 60000 nodes, my
>>>> Neo4j is already dead. When I tried to return all 60000 nodes, it returned
>>>> unknown. I did the same to MySQL, I added 60000 records but it could return
>>>> all 60000 records. It's weird because it's against the papers I read that
>>>> told me graph database is faster than relational database So Why is Neo4j
>>>> slower(totally dead) in lower specification of pc/notebook while MySQL is
>>>> not? And What specification of pc/notebook do I should use to give the best
>>>> performance during testing with millions of nodes and relationships?
>>>>
>>>> Thank you.
>>>>
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