How best to reduce CPU time used by a datastore put

I have a cron job which I run every three minutes, which pulls some data from a remote API, and then stores it in my local datastore. However, this is taking a huge amount of CPU time in the datastore put operation. I suspect I'm probably doing something really stupid which can be optimised a lot:

result = urllib2.urlopen(url).read()
foos = json.loads(result)['foo']
bars = json.loads(result)['bar']

models = []
for foo in foos:
    d = FooContainer()
    d.Property = foo.Value #in real code, this is setting a load of values based off foo     
    models.append(d)

for bar in bars:
    d = BarContainer()
    d.Property = bar.Value #in real code, this is setting a load of properties based off bar
    开发者_C百科models.append(d)

db.put(models)

As you can see, I'm storing every piece of data returned as a new "row" in my local datastore tables. Is there some technique I can use to reduce the huge datastore CPU time used by this cron job?

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~2k cpu_ms looks about right. You are seeing 46k api cpu_ms because the datastore can only write max. 10 entities per second (governed by the api), and you are writing 450+ entities, thus 450+/10 is around 46k cpu_ms.

The api usage doesn't count directly against the bottom line of your quota, only the real ~2k will. So don't worry about it, you're just fine.

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The put is fine. Really the only way you can get a put wrong is to use too many RPCs. You're already using just one.

Storing ~400 entities in one request handler is going to be expensive. If you're looking to optimize, I would ask yourself whether you really need to store that many entities at once. Could you run the cron job more frequently and return smaller batches? Do you actually need one entity per row, or could you accomplish the same thing with fewer entities and a ListProperty? There isn't really enough context in your question to offer actionable advice, but it's something to consider.

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Have you tried using nice to be nice to others process?

http://en.wikipedia.org/wiki/Nice_%28Unix%29

Also, be sure you are doing bulk insert but it seems so.