On 5/9/04 9:32 AM, "Tom Lane" <[EMAIL PROTECTED]> wrote: > Are you sure it is a network problem? What performance do you get > if you run the same test program locally on the database machine? > How about issuing the same sort of FETCH commands via a psql script?
Yes, it is definitely due to the network latency even though that latency is very small. Here it is running locally: 05-09-2004.17:49:41 Records read: 10000 05-09-2004.17:49:41 Records read: 20000 05-09-2004.17:49:42 Records read: 30000 05-09-2004.17:49:42 Records read: 40000 05-09-2004.17:49:43 Records read: 50000 05-09-2004.17:49:43 Records read: 60000 05-09-2004.17:49:44 Records read: 70000 05-09-2004.17:49:45 Records read: 80000 05-09-2004.17:49:45 Records read: 90000 05-09-2004.17:49:46 Records read: 100000 05-09-2004.17:49:46 Records read: 110000 05-09-2004.17:49:47 Records read: 120000 05-09-2004.17:49:47 Records read: 130000 05-09-2004.17:49:48 Records read: 140000 My "outside looking in" observations seem to point to the fact that every row has to be retrieved (or stored) with a separate request. Network latency, however small, becomes an issue when the volume is very high. A Pro*C program I recently ported from Oracle to PostgreSQL showed this difference. In Pro*C you can load an array with rows to insert, then issue a single INSERT request passing it the array. As far as I can tell, in PostgreSQL ecpg (or other) you have to execute one request per record. Is there some way to batch insert/fetch requests? How else can I improve upon the performance? It appears that COPY works like this, but you can't control what is returned and you have to know the column order. Wes ---------------------------(end of broadcast)--------------------------- TIP 7: don't forget to increase your free space map settings
