I've used fgetcsv
to read a 120MB csv in a stream-wise-manner (is that correct english?). That reads in line by line and then I've inserted every line into a database. That way only one line is hold in memory on each iteration. The script still needed 20 min. to run. Maybe I try Python next time… Don't try to load a huge csv-file into an array, that really would consume a lot of memory.
// WDI_GDF_Data.csv (120.4MB) are the World Bank collection of development indicators:
// http://data.worldbank.org/data-catalog/world-development-indicators
if(($handle = fopen('WDI_GDF_Data.csv', 'r')) !== false)
{
// get the first row, which contains the column-titles (if necessary)
$header = fgetcsv($handle);
// loop through the file line-by-line
while(($data = fgetcsv($handle)) !== false)
{
// resort/rewrite data and insert into DB here
// try to use conditions sparingly here, as those will cause slow-performance
// I don't know if this is really necessary, but it couldn't harm;
// see also: http://php.net/manual/en/features.gc.php
unset($data);
}
fclose($handle);
}
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