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Speed Up Clearcase view extractor
We have implemented a view extractor in our release management system (ZK) to give all views to a team member. It runs on a remote cron job, when the server is up.
We have tested it for 5 releases and it does run very fast. Now, we are looking into the future and the volume of data is expected to grow, there will be many more views to be kept.
The view extractor is written in java and uses a map for storing the views, it iterates through the map and stores all views. However, as the map get larger and larger, the size of objects contained in the map grows bigger, resulting in a performance decline.
We tried using a hashmap with an int as the key and the string for the value. However, this was not efficient as the view extractor has to iterate through the map to find out which views are stored there. So, the second option was to use a binary tree to store the views.
There was a slight speedup with a binary tree, however the code was complicated, as it had to deal with user prompt for case of duplicates. So we switched to a simple map as mentioned above.
In order to avoid allocating a new instance of object for each insert, we used linked hash maps where each key stores the reference to its corresponding value.
Has anyone implemented anything similar, or is there any other faster way to store a map of views that would be simpler and work faster?
A:
I would use a bulk container where each item is a view and the view is a key. (I've seen this in other applications.)
The code would then look like:
/-------/\
/.----.\ \
container: Hash
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