python - What is the most efficient way to use datastore in google appengine? -


currently working on project that's supposed used lot of people. worried datastore read/write/small ops using resources. since new appengine, there efficient ways make numbers smaller? thought using memcache it's not secure way. idea search datastore entities using the: 

select __key__ table

then use:

....#code table.get_by_id(entity.id()) ....#code

?

thank much.

since looks using python, highly recommend using new datastore api, ndb.

ndb automatically uses memcache cache it's models behind scenes without work on part. granted should @ using memcache manually, ndb isn't silver bullet. it'll free, nice.

beyond performance gains it's cleaner interface app engine datastore. has clean support bulk operations can performance boost.


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