Laravel Eloquent loads slow












0















there is a lot of similar topics but couldn't find a solution for me. This query loads very slow.



public function getAllBids()
{

return Bid::with('user', 'group')
->join('auct_lots', function ($join) {
$join->on('bids.lot_id', '=', 'auct_lots.lot_id')
->where('auct_lots.company', 'LIKE', '%' . request('brand') . '%')
->where('auct_lots.model_name', 'LIKE', '%' . request('models') . '%')
->where('auct_lots.grade_en', 'LIKE', '%' . request('carGrade') . '%')
->where('auct_lots.auction_name', 'LIKE', '%' . request('auctions') . '%')
->where('auct_lots.model_type_en', 'LIKE', '%' . request('chassis') . '%')
->where('auct_lots.bid', 'LIKE', '%' . request('lots') . '%')
->where('auct_lots.lot_date', 'LIKE', '%' . request('date') . '%');
})
->orderBy('auct_lots.' . request('order_column'), request('order_type'))
->paginate(30);

}


I think the problem is that auct_lots has more than 40,000 records... But I'm not sure how to refactor this code to work faster.










share|improve this question


















  • 2





    Dont fetch 40000 at once, just get 50 or 100 records and use pagination.

    – C2486
    Nov 24 '18 at 2:39











  • @C2486 I'm not sure that I understand you...

    – Dmitry Malys
    Nov 24 '18 at 2:42











  • @DmitryMalys what he means is getting 40000 records will be taxing, which is why Laravel has a feature called Pagination, that allows you to do things like have a 'next' and 'previous' page for chunking all the results in manageable pieces. You can read about it here: laravel.com/docs/5.7/pagination

    – Mav
    Nov 24 '18 at 3:51


















0















there is a lot of similar topics but couldn't find a solution for me. This query loads very slow.



public function getAllBids()
{

return Bid::with('user', 'group')
->join('auct_lots', function ($join) {
$join->on('bids.lot_id', '=', 'auct_lots.lot_id')
->where('auct_lots.company', 'LIKE', '%' . request('brand') . '%')
->where('auct_lots.model_name', 'LIKE', '%' . request('models') . '%')
->where('auct_lots.grade_en', 'LIKE', '%' . request('carGrade') . '%')
->where('auct_lots.auction_name', 'LIKE', '%' . request('auctions') . '%')
->where('auct_lots.model_type_en', 'LIKE', '%' . request('chassis') . '%')
->where('auct_lots.bid', 'LIKE', '%' . request('lots') . '%')
->where('auct_lots.lot_date', 'LIKE', '%' . request('date') . '%');
})
->orderBy('auct_lots.' . request('order_column'), request('order_type'))
->paginate(30);

}


I think the problem is that auct_lots has more than 40,000 records... But I'm not sure how to refactor this code to work faster.










share|improve this question


















  • 2





    Dont fetch 40000 at once, just get 50 or 100 records and use pagination.

    – C2486
    Nov 24 '18 at 2:39











  • @C2486 I'm not sure that I understand you...

    – Dmitry Malys
    Nov 24 '18 at 2:42











  • @DmitryMalys what he means is getting 40000 records will be taxing, which is why Laravel has a feature called Pagination, that allows you to do things like have a 'next' and 'previous' page for chunking all the results in manageable pieces. You can read about it here: laravel.com/docs/5.7/pagination

    – Mav
    Nov 24 '18 at 3:51
















0












0








0








there is a lot of similar topics but couldn't find a solution for me. This query loads very slow.



public function getAllBids()
{

return Bid::with('user', 'group')
->join('auct_lots', function ($join) {
$join->on('bids.lot_id', '=', 'auct_lots.lot_id')
->where('auct_lots.company', 'LIKE', '%' . request('brand') . '%')
->where('auct_lots.model_name', 'LIKE', '%' . request('models') . '%')
->where('auct_lots.grade_en', 'LIKE', '%' . request('carGrade') . '%')
->where('auct_lots.auction_name', 'LIKE', '%' . request('auctions') . '%')
->where('auct_lots.model_type_en', 'LIKE', '%' . request('chassis') . '%')
->where('auct_lots.bid', 'LIKE', '%' . request('lots') . '%')
->where('auct_lots.lot_date', 'LIKE', '%' . request('date') . '%');
})
->orderBy('auct_lots.' . request('order_column'), request('order_type'))
->paginate(30);

}


I think the problem is that auct_lots has more than 40,000 records... But I'm not sure how to refactor this code to work faster.










share|improve this question














there is a lot of similar topics but couldn't find a solution for me. This query loads very slow.



public function getAllBids()
{

return Bid::with('user', 'group')
->join('auct_lots', function ($join) {
$join->on('bids.lot_id', '=', 'auct_lots.lot_id')
->where('auct_lots.company', 'LIKE', '%' . request('brand') . '%')
->where('auct_lots.model_name', 'LIKE', '%' . request('models') . '%')
->where('auct_lots.grade_en', 'LIKE', '%' . request('carGrade') . '%')
->where('auct_lots.auction_name', 'LIKE', '%' . request('auctions') . '%')
->where('auct_lots.model_type_en', 'LIKE', '%' . request('chassis') . '%')
->where('auct_lots.bid', 'LIKE', '%' . request('lots') . '%')
->where('auct_lots.lot_date', 'LIKE', '%' . request('date') . '%');
})
->orderBy('auct_lots.' . request('order_column'), request('order_type'))
->paginate(30);

}


I think the problem is that auct_lots has more than 40,000 records... But I'm not sure how to refactor this code to work faster.







php laravel-5.6






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 24 '18 at 2:07









Dmitry MalysDmitry Malys

395819




395819








  • 2





    Dont fetch 40000 at once, just get 50 or 100 records and use pagination.

    – C2486
    Nov 24 '18 at 2:39











  • @C2486 I'm not sure that I understand you...

    – Dmitry Malys
    Nov 24 '18 at 2:42











  • @DmitryMalys what he means is getting 40000 records will be taxing, which is why Laravel has a feature called Pagination, that allows you to do things like have a 'next' and 'previous' page for chunking all the results in manageable pieces. You can read about it here: laravel.com/docs/5.7/pagination

    – Mav
    Nov 24 '18 at 3:51
















  • 2





    Dont fetch 40000 at once, just get 50 or 100 records and use pagination.

    – C2486
    Nov 24 '18 at 2:39











  • @C2486 I'm not sure that I understand you...

    – Dmitry Malys
    Nov 24 '18 at 2:42











  • @DmitryMalys what he means is getting 40000 records will be taxing, which is why Laravel has a feature called Pagination, that allows you to do things like have a 'next' and 'previous' page for chunking all the results in manageable pieces. You can read about it here: laravel.com/docs/5.7/pagination

    – Mav
    Nov 24 '18 at 3:51










2




2





Dont fetch 40000 at once, just get 50 or 100 records and use pagination.

– C2486
Nov 24 '18 at 2:39





Dont fetch 40000 at once, just get 50 or 100 records and use pagination.

– C2486
Nov 24 '18 at 2:39













@C2486 I'm not sure that I understand you...

– Dmitry Malys
Nov 24 '18 at 2:42





@C2486 I'm not sure that I understand you...

– Dmitry Malys
Nov 24 '18 at 2:42













@DmitryMalys what he means is getting 40000 records will be taxing, which is why Laravel has a feature called Pagination, that allows you to do things like have a 'next' and 'previous' page for chunking all the results in manageable pieces. You can read about it here: laravel.com/docs/5.7/pagination

– Mav
Nov 24 '18 at 3:51







@DmitryMalys what he means is getting 40000 records will be taxing, which is why Laravel has a feature called Pagination, that allows you to do things like have a 'next' and 'previous' page for chunking all the results in manageable pieces. You can read about it here: laravel.com/docs/5.7/pagination

– Mav
Nov 24 '18 at 3:51














1 Answer
1






active

oldest

votes


















1














When you are having large amount of data, it is better to use server side caching. This will improve performance very much faster.



Step 1: Create a Trait and write logic for store values in caching.
Ex:



trait Student{
public function storeStudentDataInCache(){
$students = Cache::rememberForever('studentList', function () {
return Student::
with(['class', 'exams'])
->where('is_published', 1)->orderBy('display_sequence', 'ASC')->get();
});
return $students;
}
}


Now in your controller call this method, this will return collection of data. So you do not need run sql queries all the time to get data. This method will run query only after one time. After that data will be stored in caching so it will get data's collection from caching text file.



Note: Whenever you update your data,please do not forget to delete this cache.



And you can also apply where condition for laravel collection or you can use filter method of collection to implement more filter logic.






share|improve this answer

























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    1 Answer
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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1














    When you are having large amount of data, it is better to use server side caching. This will improve performance very much faster.



    Step 1: Create a Trait and write logic for store values in caching.
    Ex:



    trait Student{
    public function storeStudentDataInCache(){
    $students = Cache::rememberForever('studentList', function () {
    return Student::
    with(['class', 'exams'])
    ->where('is_published', 1)->orderBy('display_sequence', 'ASC')->get();
    });
    return $students;
    }
    }


    Now in your controller call this method, this will return collection of data. So you do not need run sql queries all the time to get data. This method will run query only after one time. After that data will be stored in caching so it will get data's collection from caching text file.



    Note: Whenever you update your data,please do not forget to delete this cache.



    And you can also apply where condition for laravel collection or you can use filter method of collection to implement more filter logic.






    share|improve this answer






























      1














      When you are having large amount of data, it is better to use server side caching. This will improve performance very much faster.



      Step 1: Create a Trait and write logic for store values in caching.
      Ex:



      trait Student{
      public function storeStudentDataInCache(){
      $students = Cache::rememberForever('studentList', function () {
      return Student::
      with(['class', 'exams'])
      ->where('is_published', 1)->orderBy('display_sequence', 'ASC')->get();
      });
      return $students;
      }
      }


      Now in your controller call this method, this will return collection of data. So you do not need run sql queries all the time to get data. This method will run query only after one time. After that data will be stored in caching so it will get data's collection from caching text file.



      Note: Whenever you update your data,please do not forget to delete this cache.



      And you can also apply where condition for laravel collection or you can use filter method of collection to implement more filter logic.






      share|improve this answer




























        1












        1








        1







        When you are having large amount of data, it is better to use server side caching. This will improve performance very much faster.



        Step 1: Create a Trait and write logic for store values in caching.
        Ex:



        trait Student{
        public function storeStudentDataInCache(){
        $students = Cache::rememberForever('studentList', function () {
        return Student::
        with(['class', 'exams'])
        ->where('is_published', 1)->orderBy('display_sequence', 'ASC')->get();
        });
        return $students;
        }
        }


        Now in your controller call this method, this will return collection of data. So you do not need run sql queries all the time to get data. This method will run query only after one time. After that data will be stored in caching so it will get data's collection from caching text file.



        Note: Whenever you update your data,please do not forget to delete this cache.



        And you can also apply where condition for laravel collection or you can use filter method of collection to implement more filter logic.






        share|improve this answer















        When you are having large amount of data, it is better to use server side caching. This will improve performance very much faster.



        Step 1: Create a Trait and write logic for store values in caching.
        Ex:



        trait Student{
        public function storeStudentDataInCache(){
        $students = Cache::rememberForever('studentList', function () {
        return Student::
        with(['class', 'exams'])
        ->where('is_published', 1)->orderBy('display_sequence', 'ASC')->get();
        });
        return $students;
        }
        }


        Now in your controller call this method, this will return collection of data. So you do not need run sql queries all the time to get data. This method will run query only after one time. After that data will be stored in caching so it will get data's collection from caching text file.



        Note: Whenever you update your data,please do not forget to delete this cache.



        And you can also apply where condition for laravel collection or you can use filter method of collection to implement more filter logic.







        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 26 '18 at 14:24

























        answered Nov 26 '18 at 14:17









        Yash JoshiYash Joshi

        362




        362
































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