goutomroy

queryset = Entry.objects.all()
lst = list(queryset)
# returns a list of entry objects
first_ten = queryset[:10]
# list slicing not queryset slicing because first_ten is a list.
first_five = first_ten[:5]

goutomroy

queryset = Entry.objects.all()
# Queries the database because queryset hasn't been evaluated yet.
print(queryset[5])
# Queries the database because queryset hasn't been evaluated yet.
print(queryset[5])
lst = list(queryset)
# Using caches because evaluation happened in previous list().
print(queryset[5])
print(queryset[10])

goutomroy

entry_list = Entry.objects.all()[1:100:2]

goutomroy

# repr() evaluates but does not saves results to cache.
queryset = Entry.objects.all()
str_repr = repr(queryset)
# Not using cache.Hitting database again.
for each in queryset:
    print(each.headline)
    

goutomroy

# len() evaluates and saves results to cache.
queryset = Entry.objects.all()
ln = len(queryset)
# Using cache from previous evaluation.
for each in queryset:
    print(each.headline)
 

goutomroy

# Evaluates the queryset and saves results in cache.
queryset = Entry.objects.all()
lst = list(queryset)
# Using cache from previous list() evaluation.
for each in queryset:
    print(each.headline)

goutomroy

# The `if` statement evaluates the queryset and saves results in cache.
queryset = Entry.objects.all()
if queryset:     
    # Using cache from previous if statement evaluation.     
    for each in queryset:         
        print(each.headline)
        

goutomroy

    
  queryset = Entry.objects.all()
    for each in queryset:
        print(each.headline)
        # Hits database for blog.
        print(each.blog.name)

    for each in queryset:
        # uses cache
        print(each.headline)

goutomroy

q1 = Entry.objects.filter(blog=2)
q2 = q1.filter(headline__contains='food')
entry_list = list(q3)

goutomroy

q = Entry.objects.filter(blog=2).exclude(body_text__icontains="food")

q1 = Entry.objects.filter(blog=2)
q2 = q1.exclude(body_text__icontains="food")
q3 = q2[:10]