Full-text search in NoSQL databases [closed]

Answer 1

Yes. See CouchDB-Lucene which is a CouchDB extension to support full Lucene queries of the data.

Answer 2

I'm involved in the development of an application using Solandra (Cassandra based Apache Solr). In my experience the system is quite stable and able to handle TB+ data. I'm personally quite happy with the software for the following reasons: 1. Automated partitioning of data due to Cassandra backend. 2. Rich querying capabilities (due to Solr and Lucene). 3. Fast read and writes (writes significantly faster than reads).

However currently Solandra, I believe does not support batch mutations. That is, I can insert 100 columns in a single insertion into Cassandra, however Solandra does not support this.

Answer 3

For MongoDB, there isn't a full full-text indexing feature yet, however there's possibly one in the pipeline, perhaps due in v2.2.

In the meantime, you can create a simple inverted index by using a string array field, and putting an index on it, as described here: Full Text Search in Mongo

Or, you could maintain a parallel full-text index in a dedicated Solr or Lucene index, and if you're feeling really ambitious replicate directly to your full-text store from the Mongo oplog. Otherwise, populate both and keep in sync from your application logic.

Answer 4

Solr could be used with 10gen's Mongo Connector, which allows to push data there (among others)

https://github.com/10gen-labs/mongo-connector/tree/master/mongo-connector

From their example:

python mongo_connector.py -m localhost:27217 -t http://localhost:8080/solr