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From Tyler Hobbs <ty...@datastax.com>
Subject Re: CSV Import is taking huge time
Date Wed, 23 Jul 2014 20:36:37 GMT
See https://issues.apache.org/jira/browse/CASSANDRA-7405.

Currently cqlsh's COPY FROM just uses a single-threaded for-loop with
synchronous inserts.


On Wed, Jul 23, 2014 at 8:09 AM, Jack Krupansky <jack@basetechnology.com>
wrote:

>   Is it compute bound or I/O bound?
>
> What does your cluster look like?
>
> -- Jack Krupansky
>
>  *From:* Akshay Ballarpure <akshay.ballarpure@tcs.com>
> *Sent:* Wednesday, July 23, 2014 5:00 AM
> *To:* user@cassandra.apache.org
> *Subject:* CSV Import is taking huge time
>
> Hello,
> I am trying copy command in Cassandra to import CSV file in to DB, Import
> is taking huge time, any suggestion to improve it?
>
> id,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
> 100,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26
> 101,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26
> ----
> --
> --
>
> there are ~ 50 K lines in this file , size is ~ 5 MB.
>
> I have created table as per below:
>
> create table csldata4 ( id int PRIMARY KEY,a int , b int, c int, d int, e
> int, f int,
>                         g int, h int,i int, j int, k int, l int,m int, n
> int, o int, p int, q                                         int, r int, s
> int, t int, u int, v int, w int, x int, y int , z int);
> Copy Command:
>
> COPY csldata4 (id , a , b , c , d , e , f , g , h , i , j , k , l , m , n
> , o , p , q , r , s , t , u , v , w , x , y , z ) FROM 'csldata1.csv' WITH
> HEADER=TRUE;
>
> Issue here is it's taking huge time to import
>
> cqlsh:mykeyspace> COPY csldata (id , a , b , c , d , e , f , g , h , i , j
> , k , l , m , n , o , p , q , r , s , t , u , v , w , x , y , z ) FROM
> 'csldata1.csv' WITH HEADER=TRUE;
> 66215 rows imported in *1 minute and 31.044 seconds*.
>
>
> Thanks & Regards
> Akshay Ghanshyam Ballarpure
> Tata Consultancy Services
> Cell:- 9985084075
> Mailto: akshay.ballarpure@tcs.com
> Website: http://www.tcs.com
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-- 
Tyler Hobbs
DataStax <http://datastax.com/>

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