Try seeing disk I/O and RAM and CPU cycles when you run that. I doubt the resources what is allocated is less.

I put the index code in cron. When i tried fetching first 500 users from database then it worked fine but there are 65000+ records in my database use table and when i tried indexing for all records then got the error

PHP Fatal error: Allowed memory size of 134217728 bytes exhausted (tried to all
ocate 35 bytes) in C:\wamp\www\zendproject\application\models\ZF\User.php on lin
e 250

Where as i have configured memory_limit 512M in php.ini

Can you please suggest on this.

- Neeraj

- Ganesh

I am facing an issue while using Zend Search Lucene as described below:-

I tried creating zend lucene document for users contained in my database table having more than 65000 records. I added the below method in Bootstrap.php

protected function _initZendLucene()
{
$userObj = new ZF_User();
$data = $userObj->fetchAll();

foreach ($data as $d){
$index = Zend_Search_Lucene::create(APPLICATION_PATH . ‘/../public/search’);

$doc = new Zend_Search_Lucene_Document();
$doc->addField(
Zend_Search_Lucene_Field::text(
‘first_name’, $d->getFirstName()) );
$index->addDocument($doc);

$doc = new Zend_Search_Lucene_Document();
$doc->addField(
Zend_Search_Lucene_Field::text(
‘last_name’, $d->getLastName()) );
$index->addDocument($doc);

}
$index->commit();
}

// ZF_User() is my model for user table

At indexController.php i just tried calling it.

public function indexAction()
{
$index = Zend_Search_Lucene:pen(APPLICATION_PATH . ‘/../public/search’);
$results = $index->find(‘first_name:neeraj’);

foreach ( $results as $result ) {
echo “name :”.$result->first_name.”\n”;
}
}

But the issue is it takes so much long time that when i try to browse the home page then script execution stopped. I also increased max_execution_time as well as memory_limit in the php.ini file but it didn’t work for me.

Isn’t there any solution to use lucene or any other searching mechanism for a bulky data record except Full Text search as my table engine is INNODB.