Questions of size and speed of Collection stored

Hello everyone,

Developing a search engine for text, I was looking for a quick tool and low level storage. Berkeley DB I got and it seemed to suit my needs. I used Java cards to my process if it appeared logical to use the Collections API.

Structure database (or card):

DOCUMENT MAP
- docKey a simple integer ID generated in the order
- docEntry small number of properties


TERMMAP
- termKey, a unique string value
- termEntry small number of properties

INDEXMAP
- indexKey two foreign key values: docKey, termKey
-number of occurrence indexEntry of this term in the doc
There is a secondary index for INDEXMAP termKey interrogation.

I use the tuples of the key entities serializable for entries and I removed the redundant entities serializable key value using the transient modifier.

Here's the algorithm
The program retrieves the terms of a document and add the doc in the DOCUMENT Explorer.
For each term, if it is not in the TERMMAP, it is inserted.
This isn't in the INDEXMAP, it is inserted and the number of occurrence = 1 if the number of occurrence is triggered.
DOCUMENT map is quite small, while TERMMAP and INDEXMAP in particular have a huge amount of entries.

When testing it, it has very well worked and provided a quick mark. However, I noticed a few problems that could be critical:

-The size of the log is very high
1, 5 GB size of total newspaper for 100 MB of text indexing, then the same index (without the secondary index) takes 100 MB in ASCII text.
I tried to reduce the total log by increasing CLEANER_MIN_UTILIZATION but it has not reduced sufficiently.
I thought that maybe does not keep good things, but by displaying the contents of the card, all goes well, no redundancy.

-The storage is too slow
With a simple file storage, it's very fast if the bottleneck comes from db storage.
I noticed that it is faster to store temporary data in java cards (TreeMap to have sorted input values), then add them to the maps stored than to use the saved directly map.

To conclude

My final goal is to process a huge amount of data (collections of giga or terabyte) and I'll probably have to use parallel processing. However, if a simple test gives good results, I fear that I'll have to find another way to store my data.

This is the first time that I use berkeley db, so maybe I did something wrong. To avoid asking help for nothing I tried a lot of changes in the configuration: size, cleaner use, size of the cache, off transactional stuff and nothing gave significant results. I followed the tutorial for Java Collections and read the Javadoc. Finally, I used the JConsole plugin to take a look at the stats. This is my last chance...

If more details are needed, just ask,
Thank you in advance,
Nicolas.

Tags: Database

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