I am attempting to upgrade Pear, and it is currently asking for more than 7.5G of memory. I set memory limit in php.ini:
memory_limit=7.5G
and am still getting an memory error.
$ pear upgrade
PHP Fatal error: Allowed memory size of 7516192768 bytes exhausted (tried to allocate 130968 bytes) in /usr/local/pear/share/pear/PEAR/Registry.php on line 417
Any ideas on how to resolve, a little much isn't it?
Thanks in advance for your help.
Regards
Related
i am trying to install laravel passport in my blog by using this command
composer require laravel/passport
but at the time of installing i face some fatal error like this
**Fatal error: Allowed memory size of 1610612736 bytes exhausted (tried to allocate 4096 bytes) in phar://C:/Users/Hamid/AppData/Local/ComposerSetup/bin/composer.phar/src/Composer/Dependen
cyResolver/Solver.php on line 223
**
some one please tell me the answer how i fix it
To avoid that, you could use
php -d memory_limit=-1 C:/Users/Hamid/AppData/Local/ComposerSetup/bin/composer.phar require laravel/passport
I am working on upgrading my pear installation and am running into memoryissues. I went as far as setting memory limit, still no luck. memory_limit=4G
$ pear upgrade
Allowed memory size of 134217728 bytes exhausted (tried to allocate 130968 bytes) in /usr/local/pear/share/pear/PEAR/Registry.php on line 417
Any help would be most appreciated. Thanks in advance for any help.
There are normally 2 php.ini files. One used by your web server PHP and another for the PHP CLI
Run
> php --ini
To see where the php.ini file is for your PHP CLI environment and then increase the memory_limit in the correct file
PS 4Gig is way over the top. It looks like you have a setting of 128meg so try increasing to 256M for starters
Laravel job listener is running over 10s of thousands of records, and giving the error
PHP Fatal error: Allowed memory size of 268435456 bytes exhausted (tried to allocate 1179648 bytes) in .../vendor/laravel/framework/src/Illuminate/Database/Eloquent/Relations/BelongsTo.php on line 184
[Symfony\Component\Debug\Exception\FatalErrorException]
Allowed memory size of 268435456 bytes exhausted (tried to allocate 1179648 bytes)
I have proven using phpinfo() that the memory_limit = 512M, so I'm at a loss as to what is happening when 512 > 268 :) - also what has belongsTo relationship got to do with it ?
You mention Laravel job listener which make me assume that you run it through command line. php.ini for command line execution may be different than what web server load. Please make sure the memory_limit value are same for both php.ini. To find where php.ini for command line, from shell (assuming Linux), run
$ php -i | grep php\.ini
[STDERR] PHP Fatal error: Allowed memory size of 33554432 bytes exhausted (tried to allocate 57 bytes) in /home/taktikoyuncu/public_html/wp-includes/pomo/entry.php on line 76
I use Wordpress on my website.
I tried to change max memory limit and it gives
The file /home/xxx/public_html/wp-content/themes/xxxx/functions.php
cannot be decoded by this version of the ionCube Loader. If you are
the administrator of this site then please install the latest version
of the ionCube Loader. in Unknown on line 0
As the error says, the file cannot be processed by the version of the Loader that you have in place. If you update to the latest Loader, or ask your host to do this for you, that should resolve. You can find the latest Loaders at https://loaders.ioncube.com
I am trying to rebuild a symfony 1.4 database by running the following command:
./symfony propel:build-sql
When I run the command, I get the following error:
PHP Fatal error: Allowed memory size of 33554432 bytes exhausted
(tried to allocate 89 bytes) in
/lib/vendor/symfony/symfony-1.4.19/lib/plugins/sfPropelPlugin/lib/vendor/propel-generator/classes/propel/engine/database/model/Table.php
on line 554
I checked my memory_limit configuration in /etc/php5/cli/php.ini
The line is as follows:
memory_limit = -1
Which specifies no limit on memory, so I don't understand what is causing the error, as there is no restriction on memory. What could be causing this?
Have you tried setting the memory_limit to something like "1024M"?