Hello experts. I have posted this question on stack overflow, but I did not
get any detailed answer, so I thought I should cross post here. My
apologies.
I have to execute an SQL query to Postgres by the following code. The query
returns a huge number of rows (40M or more) and has 4 integer fields: When I
use a workstation with 32Gb everything works but on a 16Gb workstation the
query is very slow (due to swapping I guess). Is there any way to tell the
C++ to load rows at batches, without waiting the entire dataset? With Java I
never had these issues before, due to the probably better JDBC driver.
try {
work W(*Conn);
result r = W.exec(sql[sqlLoad]);
W.commit();
for (int rownum = 0; rownum < r.size(); ++rownum) {
const result::tuple row = r[rownum];
vid1 = row[0].as<int>();
vid2 = row[1].as<int>();
vid3 = row[2].as<int>();
.....
} catch (const std::exception &e) {
std::cerr << e.what() << std::endl;
}
I am using PostgreSQL 9.3 and there I see this
http://www.postgresql.org/docs/9.3/static/libpq-single-row-mode.html, but I
do not how to use it on my C++ code. Your help will be appreciated.
EDIT: This query runs only once, for creating the necessary main memory data
structures. As such, tt cannot be optimized. Also, pgAdminIII could easily
fetch those rows, in under one minute on the same (or with smaller RAM) PCs.
Also, Java could easily handle twice the number of rows (with
Statent.setFetchSize()
http://docs.oracle.com/javase/7/docs/api/java/sql/Statement.html#setFetchSize%28int%29)
So, it is really an issue for the libpqxx library and not an application
issue. Is there a way to enforce this functionality in C++, without
explicitly setting limits / offsets manually? Also, is there another driver
I should use with C++ that offers this kind of functionality?
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