lrfu | simple implementation of the LRFU cache eviction policy | Caching library
kandi X-RAY | lrfu Summary
kandi X-RAY | lrfu Summary
This is a simple Python implementation of a cache based on the LRFU replacement policy. It has a relatively low overhead compared to linked list based cache implementations. Overhead is reduced by evicting periodically in bulk. As such the cache will typically contain fewer items than permitted by the upper bound supplied to the constructor.
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Top functions reviewed by kandi - BETA
- Iterate over keys and values
- Returns an iterator over the values in the dictionary
lrfu Key Features
lrfu Examples and Code Snippets
Community Discussions
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QUESTION
I'm starting with Hive and I need your help on an error. It occurs, after a waiting time, when I try to create a new Database:
...ANSWER
Answered 2017-May-22 at 10:05I finally found the solution:
I had to run the sql script: $HIVE_HOME/scripts/metastore/upgrade/derby/hive-shema-x.x.x.derby.sql. To do it i used ij.
More about it : https://cwiki.apache.org/confluence/display/Hive/Hive+Schema+Tool http://db.apache.org/derby/papers/DerbyTut/ij_intro.html#Run+SQL+Scripts
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install lrfu
You can use lrfu like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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