如何使用Datatables在Django中制作更快的大数据（5,000,000）没有django-datatables-view No Rest Framework

Question

I want to take large data (examples 5 000,000) with datatables in Django .But Proccessing is slowly (Page Load is 12 seconds).Users login to webpage. Then Click to Test .html. Backend procces run to test_json in Views. Views call taking db data with to_dict_json. On Models.py. This method in Views return Json response objects. How to make faster large data in Django with datatables

Models.py

class SysTest(models.Model):

class Meta:
    db_table = 'sysTest'

id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
Tip = models.ForeignKey(SysRefTip, on_delete=models.CASCADE)
Kod = models.CharField(_("Kod"), max_length=20, blank=False, null=False)
Aciklama1 = models.CharField(_("Açıklama 1"), max_length=100,blank=True, null=True)
Aciklama2 = models.CharField(_("Açıklama 2"), max_length=100,blank=True, null=True)
GrupKod = models.CharField(_("Grup Kodu"), max_length=20,blank=True, null=True)
SayKod = models.FloatField(_("Sayısal Değer"),blank=True, null=True)

def to_dict_json(self):

    return{
        'Id':self.id,
        'Kod':self.Kod,
        'Aciklama1':self.Aciklama1,
        'Aciklama2':self.Aciklama2,
        'GrupKod':self.GrupKod,
        'SayKod':self.SayKod,
    }

View.py

def test_json(request):
    persons  = SysTest.objects.all()
    data = [person.to_dict_json() for person in persons ]
    response = {'data': data}
   return JsonResponse(response,safe=False,content_type="application/json")

Urls.py

from django.urls import path, include
from Referans.Views import testView
from django.conf.urls.i18n import i18n_patterns
app_name ="Test"

urlpatterns = [
    path('', testView.test_listele , name="test"),
    path('test/json/', testView.test_json, name='test_json'),

]

test.html

            <div class="card-body">

                <table id="myTable2" class="table datatable-responsive-control-right">
                <thead>
                    <tr>
                        <th>Id</th>
                        <th>Kod</th>
                        <th>Açıklama1</th>
                        <th>Açıklama2</th>
                        <th>SayKod</th>
                        <th>GrupKod</th>
                    </tr>
                    </thead>
                </table>





                </div>

            {% block js%}
            <script>

            $(document).ready( function () {
            var t0 = performance.now();
            degerleriGetir('test/json')
            var t1 = performance.now();

            });

            function degerleriGetir(data){

                table =$('#myTable2').DataTable({
                        Serverside:true,
                        Processing: true,
                        orderClasses: false,
                        bSortClasses:false,
                        bDeferRender: true,
                        scrollCollapse: true,
                        scrollY: 500,
                        stateSave: true,
                        scroller: {
                            loadingIndicator: true
                        },            
                        ajax:{
                        url:('test/json'),
                        processing:true,
                        },
                        destroy:true,
                        columns: [
                        {'data': 'Id'},
                        {'data': 'Kod'},
                        {'data': 'Aciklama1'},
                        {'data': 'Aciklama2'},
                        {'data': 'GrupKod'},
                        {'data': 'SayKod'}  
                        ]
                    });
            };

            </script>

            {% endblock js  %}

Answer 1

Asyncronous loading is made with ajax request, for example. The javascript controls which pages the user wants to see, making a request to django "view_url+?page=X". Then, get the info (usually in json) and loads the content into html. I never used DataTable, so i can't tell you exactly what you have to do. What I am telling you is what you can do to achieve this asynchronous loading. Other option is paginating normally, loading the page each time for each page (so much easier to implement by hand). Take a look to django ListView model to make your implementation easier and faster!

Good luck!