Hi Shivanandan,

the easy way to go faster is using plocal instead of remote, but I don't
know if in your case it's possible (other instances OrientDB have to be
shut down for the time ETL works...)

Luigi


2015-02-19 7:19 GMT+01:00 Shivanandan Gupta <[email protected]>:

> Hi All,
>
> I tried loading data from csb file to in-memory graphdatabase class and
> the statistics I am getting is given below. I used json ETL file to load
> data from csv. If I anyone has a better way to load the same amount of data
> quickly them please suggest the way.
>
> We are planning of implementing a near to realtime DWH on orientdb.
>
>
>  *RecordsLoaded*
>
> *AttributesPerRecords*
>
> *DataVolume(csv file)*
>
> *TimeTaken (MS)*
>
> *TimeTaken(Minutes)*
>
> 1,000,320
>
> 75
>
> 250 MB
>
> 261365
>
> 4.36
>
>
>
> {
>   "source": { "file": { "path": "F:\Work\MDATA-ETL\s_asset.csv" } },
>   "extractor": { "row": {} },
>   "transformers": [
>     { "csv": {} },
>     { "vertex": { "class": "S_ASSET" } }
>   ],
>   "loader": {
>     "orientdb": {
>        "dbURL": "remote:localhost/databases/indb",
> "dbUser": "root",
> "dbPassword": "root",
> "dbAutoCreate": true,
> "tx": false,
> "batchCommit": 10000,
>        "dbType": "graph"
>     }
>   }
> }
>
>
> Thanks in advance.
>
> Regards,
> Shivanandan Gupta
>
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