The documentation (https://cloud.google.com/appengine/docs/python/ndb/) states that
NDB uses Memcache as a cache service for "hot spots" in the data
I am now using memcache only as follows:
memcache.set(key=(id), value=params, time=0)
That expires (auto flushes) pretty often and so I would like to use NDB Datastore. I thought I would have to always put the key-value in both NDB and Memcache, then check both. Is this being done automatically by NDB?
Ie.
ancestor_key = ndb.Key("Book", guestbook_name or "*notitle*")
greetings = Greeting.query_book(ancestor_key).fetch(20)
Would that implicitly set Memcache ?
And when I read from NDB, would it implicitly try a memcache.get(key) first?
Thanks for your patience.
EDIT - What I tried:
As a test I tried something like this:
class Book(ndb.Model):
content = ndb.StringProperty()
class update(webapp2.RequestHandler):
def post(self):
p1='1'
p2='2'
p3='3'
p4='4'
p5='5'
id='test'
paramarray = (p1,p2,p3,p4,p5)
book = Book(name=id,value=paramarray)
# OR likes this - book = Book(ndb.Key(id),value=paramarray)
book.put()
Both versions error out.
Trying to get a key of the var id with the values of paramarray
EDIT 2 Daniel, Thank you for everything.
Have follow up formatting questions, will ask a new question.