Django filter. What is more efficient – .filter(date__range) or .all() and filter via Python
I have quite a large database table (1M+ rows) that experiences issues when filtering results in Django.
I have quite a large database table (1M+ rows) that experiences issues when filtering results in Django.
In my Laravel project I upgraded to currently latest Laravel 9.3.0 and PHP 8.0.16.
Allowed memory size of 33554432 bytes exhausted (tried to allocate
43148176 bytes) in php
I am downloading a CSV file from another server as a data feed from a vendor.
Fatal error: Allowed memory size of 67108864 bytes exhausted (tried to allocate 13965430 bytes)
I know that in PHP you don’t have to free memory.
Is it reached by garbage collector?
Fatal error: Allowed memory size of
134217728 bytes exhausted (tried to
allocate 1078799 bytes) in
D:xampplitehtdocsScraperPHPExcelReaderExcel2007.php
on line 269
I’m trying to track the memory usage of a script that processes URLs. The basic idea is to check that there’s a reasonable buffer before adding another URL to a cURL multi handler. I’m using a ‘rolling cURL’ concept that processes a URLs data as the multi handler is running. This means I can keep N connections active by adding a new URL from a pool each time an existing URL processes and is removed.
If the real_usage
argument is set to true
the PHP DOCS say it will get the real size of memory allocated from system. If it’s false
it will get the memory reported by emalloc()
I’m working with a large array which is a height map, 1024×1024 and of course, i’m stuck with the memory limit. In my test machine i can increase the mem limit to 1gb if i want, but in my tiny VPS with only 256 ram, it’s not an option.