NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter



Counting in MongoDB Just Got Much Faster

Antoine Girbal about counts in MongoDB:

Doing counts in MongoDB has always been a slow operation even on an indexed field… until now. To do the count, it would iterate through every single element in the index and try to match the key, giving a response time of several seconds for just a million documents. It would be especially slow on values with high cardinality, meaning that the count is high.

A bug-fix and an optimization using MongoDB’s B-trees.

Original title and link: Counting in MongoDB Just Got Much Faster (NoSQL database©myNoSQL)