All right, here is a test app (written in python, imports stripped):
class TheTest(db.Model):
id = db.IntegerProperty()
name = db.StringProperty();
class TestHandler(webapp.RequestHandler):
def get(self):
start_api = quota.get_request_api_cpu_usage()
start = quota.get_request_cpu_usage()
bulk = []
for i in range(100):
test = TheTest()
test.id = random.randint(100,1000000)
test.name = "abcdefgh"
bulk.append(test)
db.put(bulk)
end_api = quota.get_request_api_cpu_usage()
end = quota.get_request_cpu_usage()
self.response.out.write("cost: %d : %d megacycles." % (start - end,
start_api - end_api))
The result of the request is: cost: -204 : -9800 megacycles.
And the logs show: /test 200 383ms 8353cpu_ms 8166api_cpu_ms
It is around 12 entries per CPU second. That means, one can forget about
putting million entries into database (an XML of 20 megs can have such
amount of data, but it will take ages to parse it)
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