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I am storing book meta-data like name,authors,price,publisher,etc in a mongodb document. I have about 10 million of these documents and they all are in one collection. The average document size is 1.9 KB. Now i have indexes on name,authors and price. In fact i have 2 indexes on price one in ascending order and one descending order. My mongodb version is 2.2.0 and i am using the php driver to query mongo. The driver's version is 1.12. But when i do a range query on price i get a MongoCursorTimeoutException. In my query i am trying to find books in a certain price range like "price less than 1000 and more than 500".
Increasing the timeout doesn't seem to be a good idea(It is already 30 sec). Is there anything else that i can do to speed up the query process.
EDIT
Actually my price index is compound. I have a status field which has an integer value so my price index looks like {price:-1,status:1} and {price:1,status:1}
Also I am trying to retrieve 20 documents at a time with PHP.
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Working with MongoDB and ElasticSearch is an accurate decision to process millions of records in real-time. These structures and concepts could be applied to larger datasets and will work extremely well too.
In MongoDB, the limit() method limits the number of records or documents that you want. It basically defines the max limit of records/documents that you want. Or in other words, this method uses on cursor to specify the maximum number of documents/ records the cursor will return.
MongoDB supports no more than 100 levels of nesting for BSON documents. Each object or array adds a level.
As @JohnyHK said my RAM was too low. So increased it to 12 GB and it works now. Thanks everyone for their comments and answers
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