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Mikro PC 4.2.2 full version free download ldap serverQ:

Google App Engine Memory: standard vs large, fastest

I have a question. I need to calculate a Trie and keep it in RAM or, if its too big, on the disk. I thought about two things for memory usage:
Small
Having a dictionary with 10 million entries in RAM. This is 15 MBs.
Large
Having a dictionary with 10 million entries in RAM and on the disk. This is 100MBs.
It should be faster if it is on the disk, right? But why?

A:

This is from Google App Engine Python dictionary documentation:

The dictionary type is typically the fastest to use because it
implements most of the functionality of a full-featured dictionary
class with just the simplest of storage requirements. The library
chooses an appropriate subclass of dict when the number of keys is
large, typically in the range [1,10) or so; the numbers in the
documentation above are not such limiting values and are a product of
the memory limitations of the Java virtual machine.

Also, in App Engine, the default datastore is the memcache which has limitations about the size of datastore:

The limit on the maximum size of a Datastore entity’s value is
currently 10MB. A limit of 5MB will be added to this limit in a
future release. This applies to TEXT, BLOB and ARRAY types, as well as
the JSON datastore-encoded value.

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