The Text Search uses stemming techniques to look for. It’s the most efficient way to implement text search according to MongoDB’s documentation.
#MONGO DB TEXT SEARCH FULL#
To delete an existing text index, first find the name of index using the following query −Īfter getting the name of your index from above query, run the following command. Starting from version 2.4, MongoDB started supporting text indexes to search inside string content. This is the first approach that you’ll find if you Google full text search in mongo. "_id" : ObjectId("53493d14d852429c10000002"), In MongoDB, we can perform text search using text index and text operator. The above command returned the following result documents having the word tutorialspoint in their post text − "post_text" : "enjoy the mongodb articles on tutorialspoint", We will create a text index on post_text field so that we can search inside our posts' text − "post_text" : "writing tutorials on mongodb", "post_text": "enjoy the mongodb articles on tutorialspoint", Creating Text IndexĬonsider the following document under posts collection containing the post text and its tags − Initially, Text Search was an experimental feature but starting from version 2.6, the configuration is enabled by default. At present, MongoDB supports around 15 languages. The Text Search uses stemming techniques to look for specified words in the string fields by dropping stemming stop words like a, an, the, etc. The Text Search uses stemming techniques to look for specified words in the string fields by dropping stemming stop words like a, an, the, etc. MongoDB Text Search - Starting from version 2.4, MongoDB started supporting text indexes to search inside string content. Starting from version 2.4, MongoDB started supporting text indexes to search inside string content.
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