How do i create a search in mongodb?

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How do I search a field in MongoDB?
How does search work in MongoDB?
How do I do a full
How do I search for text in a field in MongoDB?

MongoDB offers a full-text search solution, MongoDB Atlas Search, for data hosted on MongoDB Atlas. Users running self-managed MongoDB deployments have access to on-premises text search capabilities.

For MongoDB Atlas users, MongoDB's Atlas Search supports fine-grained text indexing and a rich query language for fast, relevant search results. To learn more about full-text search indexes and $search queries, see:

Atlas Search Aggregation Pipeline Stages
Defining Atlas Search Indexes
Running Atlas Search Queries

Atlas Search also offers common analyzers for parsing text for full-text search, including support for over 40 language-specific analyzers.

For on-premises (non-Atlas) deployments, MongoDB's text search capability supports query operations that perform a text search of string content. To perform text search, MongoDB uses a text index and the $text operator.

Note

Views do not support text search.

To learn more about text search for on-premises deployments, see:

Text Indexes
Text Search Operators

MongoDB also supports text search for various languages. See Text Search Languages for a list of supported languages.

Docs Home → MongoDB Manual

MongoDB supports query operations that perform a text search of string content. To perform text search, MongoDB uses a text index and the $text operator.

Note

Views do not support text search.

This example demonstrates how to build a text index and use it to find coffee shops, given only text fields.

Create a collection stores with the following documents:

db.stores.insert(
   [
     { _id: 1, name: "Java Hut", description: "Coffee and cakes" },
     { _id: 2, name: "Burger Buns", description: "Gourmet hamburgers" },
     { _id: 3, name: "Coffee Shop", description: "Just coffee" },
     { _id: 4, name: "Clothes Clothes Clothes", description: "Discount clothing" },
     { _id: 5, name: "Java Shopping", description: "Indonesian goods" }
   ]
)

MongoDB provides text indexes to support text search queries on string content. text indexes can include any field whose value is a string or an array of string elements.

To perform text search queries, you must have a text index on your collection. A collection can only have one text search index, but that index can cover multiple fields.

For example you can run the following in a mongo shell to allow text search over the name and description fields:

db.stores.createIndex( { name: "text", description: "text" } )

Use the $text query operator to perform text searches on a collection with a text index.

$text will tokenize the search string using whitespace and most punctuation as delimiters, and perform a logical OR of all such tokens in the search string.

For example, you could use the following query to find all stores containing any terms from the list "coffee", "shop", and "java":

db.stores.find( { $text: { $search: "java coffee shop" } } )

You can also search for exact phrases by wrapping them in double-quotes. If the $search string includes a phrase and individual terms, text search will only match documents that include the phrase.

For example, the following will find all documents containing "coffee shop":

db.stores.find( { $text: { $search: "\"coffee shop\"" } } )

For more information, see Phrases.

To exclude a word, you can prepend a "-" character. For example, to find all stores containing "java" or "shop" but not "coffee", use the following:

db.stores.find( { $text: { $search: "java shop -coffee" } } )

MongoDB will return its results in unsorted order by default. However, text search queries will compute a relevance score for each document that specifies how well a document matches the query.

To sort the results in order of relevance score, you must explicitly project the $meta textScore field and sort on it:

db.stores.find(
   { $text: { $search: "java coffee shop" } },
   { score: { $meta: "textScore" } }
).sort( { score: { $meta: "textScore" } } )

Text search is also available in the aggregation pipeline.

MongoDB supports text search for various languages. See Text Search Languages for a list of supported languages.

For data hosted on MongoDB Atlas, Atlas Search provides support for additional languages. To see the complete list of languages supported by Atlas Search, see the Atlas Search Language Analyzers.

How do I search a field in MongoDB?

Use the $text query operator to perform text searches on a collection with a text index. $text will tokenize the search string using whitespace and most punctuation as delimiters, and perform a logical OR of all such tokens in the search string.

How does search work in MongoDB?

MongoDB text search uses the Snowball stemming library to reduce words to an expected root form (or stem) based on common language rules. Algorithmic stemming provides a quick reduction, but languages have exceptions (such as irregular or contradicting verb conjugation patterns) that can affect accuracy.

How do I do a full

Implement full-text search in MongoDB Atlas Go to any cluster and select the “Search” tab to do so. From there, you can click on “Create Search Index” to launch the process. Once the index is created, you can use the $search operator to perform full-text searches.

How do I search for text in a field in MongoDB?

In MongoDB, we can perform text search using text index and $text operator. Text index: MongoDB proved text indexes that are used to find the specified text from the string content. Text indexes should be either a string or an array of string elements.

programming mongodb Search MongoDB Full text search Full-text search MongoDB Create index, MongoDB Atlas Search MongoDB

How do i create a search in mongodb?

Note

Note

How do I search a field in MongoDB?

How does search work in MongoDB?

How do I do a full

How do I search for text in a field in MongoDB?

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