Django：rest framework之分页(Pagination)

分页基本流程及配置

1、基于PageNumberPagination的分页

——视图部分和基于LimitOffsetPagination是样的，只需要把P1改成P2就可以了

from django.conf.urls import url, include
from rest_framework import routers
from web.views import s9_pagination

urlpatterns = [
    url(r'^test/', s9_pagination.UserViewSet.as_view()),
]

#!/usr/bin/env python
# -*- coding:utf-8 -*-
from rest_framework.views import APIView
from rest_framework import serializers
from .. import models

from rest_framework.pagination import PageNumberPagination


class StandardResultsSetPagination(PageNumberPagination):
    # 默认每页显示的数据条数
    page_size = 1
    # 获取URL参数中设置的每页显示数据条数
    page_size_query_param = 'page_size'

    # 获取URL参数中传入的页码key
    page_query_param = 'page'

    # 最大支持的每页显示的数据条数
    max_page_size = 1


class UserSerializer(serializers.ModelSerializer):
    class Meta:
        model = models.UserInfo
        fields = "__all__"


class UserViewSet(APIView):
    def get(self, request, *args, **kwargs):
        user_list = models.UserInfo.objects.all().order_by('-id')

        # 实例化分页对象，获取数据库中的分页数据
        paginator = StandardResultsSetPagination()
        page_user_list = paginator.paginate_queryset(user_list, self.request, view=self)

        # 序列化对象
        serializer = UserSerializer(page_user_list, many=True)

        # 生成分页和数据
        response = paginator.get_paginated_response(serializer.data)
        return response

2、基于LimitOffsetPagination做分页

from django.conf.urls import url, include
from web.views import s9_pagination

urlpatterns = [
    url(r'^test/', s9_pagination.UserViewSet.as_view()),
]

#!/usr/bin/env python
# -*- coding:utf-8 -*-
from rest_framework.views import APIView
from rest_framework import serializers
from .. import models

from rest_framework.pagination import PageNumberPagination,LimitOffsetPagination


class StandardResultsSetPagination(LimitOffsetPagination):
    # 默认每页显示的数据条数
    default_limit = 10
    # URL中传入的显示数据条数的参数
    limit_query_param = 'limit'
    # URL中传入的数据位置的参数
    offset_query_param = 'offset'
    # 最大每页显得条数
    max_limit = None

class UserSerializer(serializers.ModelSerializer):
    class Meta:
        model = models.UserInfo
        fields = "__all__"


class UserViewSet(APIView):
    def get(self, request, *args, **kwargs):
        user_list = models.UserInfo.objects.all().order_by('-id')

        # 实例化分页对象，获取数据库中的分页数据
        paginator = StandardResultsSetPagination()
        page_user_list = paginator.paginate_queryset(user_list, self.request, view=self)

        # 序列化对象
        serializer = UserSerializer(page_user_list, many=True)

        # 生成分页和数据
        response = paginator.get_paginated_response(serializer.data)
        return response

3、基于CurorPagination的分页

——视图部分和基于LimitOffsetPagination是样的，只需要把P1改成P3就可以了，而且，页码的也是不是明文，有助于防止恶意一下子请求过多数据。

from django.conf.urls import url, include
from web.views import s9_pagination

urlpatterns = [
    url(r'^test/', s9_pagination.UserViewSet.as_view()),
]

#!/usr/bin/env python
# -*- coding:utf-8 -*-
from rest_framework.views import APIView
from rest_framework import serializers
from .. import models

from rest_framework.pagination import PageNumberPagination, LimitOffsetPagination, CursorPagination


class StandardResultsSetPagination(CursorPagination):
    # URL传入的游标参数
    cursor_query_param = 'cursor'
    # 默认每页显示的数据条数
    page_size = 2
    # URL传入的每页显示条数的参数
    page_size_query_param = 'page_size'
    # 每页显示数据最大条数
    max_page_size = 1000

    # 根据ID从大到小排列
    ordering = "id"


class UserSerializer(serializers.ModelSerializer):
    class Meta:
        model = models.UserInfo
        fields = "__all__"


class UserViewSet(APIView):
    def get(self, request, *args, **kwargs):
        user_list = models.UserInfo.objects.all().order_by('-id')

        # 实例化分页对象，获取数据库中的分页数据
        paginator = StandardResultsSetPagination()
        page_user_list = paginator.paginate_queryset(user_list, self.request, view=self)

        # 序列化对象
        serializer = UserSerializer(page_user_list, many=True)

        # 生成分页和数据
        response = paginator.get_paginated_response(serializer.data)
        return response

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