Find a document

Finds a single document in a collection using filter and sort clauses.

Method signature

  • Python

  • TypeScript

  • Java

  • curl

collection.find_one(
    filter: Dict[str, Any],
    *,
    projection: Iterable[str] | Dict[str, bool],
    include_similarity: bool,
    sort: Dict[str, Any],
    max_time_ms: int,
) -> Dict[str, Any]
collection.findOne(
  filter: Filter<Schema>,
  options?: {
    sort?: Sort,
    projection?: Projection,
    includeSimilarity?: boolean,
    maxTimeMS?: number,
  },
): Promise<FoundDoc<Schema>>
Optional<T> findOne(Filter filter)
Optional<T> findOne(
  Filter filter,
  FindOneOptions options
)
Optional<T> findOne(FindOneOptions options)
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/COLLECTION_NAME" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "filter": FILTER,
    "sort": SORT,
    "projection": PROJECTION,
    "options": {
      "includeSimilarity": BOOLEAN
    }
  }
}'

Result

  • Python

  • TypeScript

  • Java

  • curl

Returns a dictionary representation of a document that matches the specified filter and sort clauses, or returns None if no document was found.

The fields included in the returned document depend on the subset of fields that were requested in the projection. If requested and applicable, the document will also include a $similarity key with a numeric similarity score that represents the closeness of the sort vector and the document’s vector.

Example response:

{'_id': 101, 'name': 'John Doe', '$vector': [0.12, 0.52, 0.32]}

Returns a promise that resolves to a document that matches the specified filter and sort clauses (FoundDoc<Schema>), or to null if no document was found.

The fields included in the returned document depend on the subset of fields that were requested in the projection. If requested and applicable, the document will also include a $similarity key with a numeric similarity score that represents the closeness of the sort vector and the document’s vector.

Example response:

{'_id': 101, 'name': 'John Doe', '$vector': [0.12, 0.52, 0.32]}

Returns a document that matches the specified filter and sort clauses (Optional<T>), or returns Optional.empty() if no document was found.

The fields included in the returned document depend on the subset of fields that were requested in the projection. If requested and applicable, the document will also include a $similarity key with a numeric similarity score that represents the closeness of the sort vector and the document’s vector.

Returns a dictionary representation of a document that matches the specified filter and sort clauses, or returns null if no document was found.

The fields included in the returned document depend on the subset of fields that were requested in the projection. If requested and applicable, the document will also include a $similarity key with a numeric similarity score that represents the closeness of the sort vector and the document’s vector.

Example response:

{
  "data": {
    "document": {
      "_id": 101,
      "name": "John Doe",
      "$vector": [0.12, 0.52, 0.32]
    }
  }
}

Example null response:

{
  "data": {
    "document": null
  }
}

Parameters

  • Python

  • TypeScript

  • Java

  • curl

Name Type Summary

filter

Dict[str, Any]

Optional. An object that defines filter criteria using the Data API filter syntax. The method only finds documents that match the filter criteria.

For a list of available filter operators and more examples, see Data API operators.

Filters can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in a filter.

projection

Iterable[str] | Dict[str, bool]

Optional. Controls which fields are included or excluded in the returned document.

For more information, see Projection operations.

Default: The default projection for the collection. Certain fields, like $vector and $vectorize, are excluded by default. Certain fields, like _id, are included by default.

include_similarity

bool

Optional. Whether the response should include a $similarity property in the result. The $similarity value represents the closeness of the sort vector and the document’s vector.

This parameter only applies if you use a vector search.

Default: False

sort

Dict[str, Any]

Optional. Sorts documents by one or more fields, or performs a vector search.

For more information, see Sort clauses.

Sort clauses can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in sort queries.

For vector searches, this parameter can use either $vector or $vectorize.

max_time_ms

int

Optional. The maximum time, in milliseconds, that the client should wait for the underlying HTTP request.

Default: The default value for the collection. This default is 30 seconds unless you specified a different default when you initialized the Collection object.
Name Type Summary

filter

Filter<Schema>

An object that defines filter criteria using the Data API filter syntax. The method only finds documents that match the filter criteria.

For a list of available filter operators and more examples, see Data API operators.

Filters can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in a filter.

options

FindOneOptions

Optional. The options for this operation. See the options table for more details.
Properties of options
Name Type Summary

projection

Projection

Optional. Controls which fields are included or excluded in the returned document.

For more information, see Projection operations.

Default: The default projection for the collection. Certain fields, like $vector and $vectorize, are excluded by default. Certain fields, like _id, are included by default.

includeSimilarity

boolean

Optional. Whether the response should include a $similarity property in the result. The $similarity value represents the closeness of the sort vector and the document’s vector.

This parameter only applies if you use a vector search.

Default: False

sort

Sort

Optional. Sorts documents by one or more fields, or performs a vector search.

For more information, see Sort clauses.

Sort clauses can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in sort queries.

For vector searches, this parameter can use either $vector or $vectorize.

maxTimeMS

number

Optional. The maximum time, in milliseconds, that the client should wait for the underlying HTTP request.

Default: The default value for the collection. This default is 30 seconds unless you specified a different default when you initialized the Collection object.
Name Type Summary

filter

Filter

An object that defines filter criteria using the Data API filter syntax. The method only finds documents that match the filter criteria.

For a list of available filter operators and more examples, see Data API operators.

Filters can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in a filter.

options

FindOneOptions

Optional. The options for this operation. See the methods of the FindOneOptions class for more details.
Methods of the FindOneOptions class:
Method Parameters Summary

sort()

float[] | String | Sort | Map<String, Object>

Optional. Sorts documents by one or more fields, or performs a vector search.

For more information, see Sort clauses.

Sort clauses can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in sort queries.

For vector searches, this parameter can use either $vector or $vectorize.

projection()

Projection

Optional. Controls which fields are included or excluded in the returned document.

For more information, see Projection operations.

Default: The default projection for the collection. Certain fields, like $vector and $vectorize, are excluded by default. Certain fields, like _id, are included by default.

includeSimilarity()

boolean

Optional. Whether the response should include a $similarity property in the result. The $similarity value represents the closeness of the sort vector and the document’s vector.

This parameter only applies if you use a vector search.

Default: False

Use the findOne command with these parameters:

Name Type Summary

filter

object

Optional. An object that defines filter criteria using the Data API filter syntax. The method only finds documents that match the filter criteria.

For a list of available filter operators and more examples, see Data API operators.

Filters can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in a filter.

sort

object

Optional. Sorts documents by one or more fields, or performs a vector search.

For more information, see Sort clauses.

Sort clauses can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in sort queries.

For vector searches, this parameter can use either $vector or $vectorize.

projection

object

Optional. Controls which fields are included or excluded in the returned document.

For more information, see Projection operations.

Default: The default projection for the collection. Certain fields, like $vector and $vectorize, are excluded by default. Certain fields, like _id, are included by default.

options

object

Optional. The options for this operation. See the options table for more details.
Properties of options:
Name Type Summary

includeSimilarity

boolean

Optional. Whether the response should include a $similarity property in the result. The $similarity value represents the closeness of the sort vector and the document’s vector.

This parameter only applies if you use a vector search.

Default: False

Examples

The following examples demonstrate how to find a document in a collection.

Use a document’s ID to find a document

All documents have a unique _id property. You can use a filter to find a document with a specific _id.

  • Python

  • TypeScript

  • Java

  • curl

from astrapy import DataAPIClient

# Get an existing collection
client = DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
database = client.get_database("ASTRA_DB_API_ENDPOINT")
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one(
    {"_id": 101}
)

print(result)
import { DataAPIClient } from '@datastax/astra-db-ts';

// Get an existing collection
const client = new DataAPIClient('ASTRA_DB_APPLICATION_TOKEN');
const database = client.db('ASTRA_DB_API_ENDPOINT');
const collection = database.collection('COLLECTION_NAME');

// Find a document
(async function () {
  const result = await collection.findOne(
    { _id: '101' }
  );

  console.log(result);
})();
package com.datastax.astra.client.collection;

import com.datastax.astra.client.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.model.Document;
import com.datastax.astra.client.model.Filter;
import com.datastax.astra.client.model.Filters;
import com.datastax.astra.client.model.FindOneOptions;

import java.util.Optional;

public class FindOne {

    public static void main(String[] args) {
        // Get an existing collection
        Collection<Document> collection = new DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
            .getDatabase("ASTRA_DB_API_ENDPOINT")
            .getCollection("COLLECTION_NAME");

        // Find a document
        Filter filter = Filters.eq("_id", "101");
        Optional<Document> result = collection.findOne(filter);
        System.out.println(result);
    }
}
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/ASTRA_DB_COLLECTION" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "filter": { "_id": "101" }
  }
}'

Use filters to find a document

You can use a filter to find a document that matches specific criteria. For example, you can find a document with an isCheckedOut value of false and a numberOfPages value less than 300.

For a list of available filter operators and more examples, see Data API operators.

Filters can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in a filter.

  • Python

  • TypeScript

  • Java

  • curl

from astrapy import DataAPIClient

# Get an existing collection
client = DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
database = client.get_database("ASTRA_DB_API_ENDPOINT")
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one(
    {
        "$and": [
            {"isCheckedOut": False},
            {"numberOfPages": {"$lt": 300}},
        ]
    }
)

print(result)
import { DataAPIClient } from '@datastax/astra-db-ts';

// Get an existing collection
const client = new DataAPIClient('ASTRA_DB_APPLICATION_TOKEN');
const database = client.db('ASTRA_DB_API_ENDPOINT');
const collection = database.collection('COLLECTION_NAME');

// Find a document
(async function () {
  const result = await collection.findOne({
    $and: [{ isCheckedOut: false }, { numberOfPages: { $lt: 300 } }],
  });

  console.log(result);
})();
package com.datastax.astra.client.collection;

import com.datastax.astra.client.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.model.Document;
import com.datastax.astra.client.model.Filter;
import com.datastax.astra.client.model.Filters;
import com.datastax.astra.client.model.FindOneOptions;

import java.util.Optional;

public class FindOne {

    public static void main(String[] args) {
        // Get an existing collection
        Collection<Document> collection = new DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
            .getDatabase("ASTRA_DB_API_ENDPOINT")
            .getCollection("COLLECTION_NAME");

        // Find a document
        Filter filter = Filters.and(
          Filters.eq("isCheckedOut", false),
          Filters.lt("numberOfPages", 300));

        Optional<Document> result = collection.findOne(filter);

        System.out.println(result);
    }
}
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/ASTRA_DB_COLLECTION" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "filter": {"$and": [
      {"isCheckedOut": false},
      {"numberOfPages": {"$lt": 300}}
    ]}
  }
}'

Use vector search to find a document

To find the document whose $vector value is most similar to a given vector, use a sort with the vector embeddings that you want to match. For more information, see Perform a vector search.

Vector search is only available for vector-enabled collections. For more information, see Vector and vectorize.

  • Python

  • TypeScript

  • Java

  • curl

from astrapy import DataAPIClient

# Get an existing collection
client = DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
database = client.get_database("ASTRA_DB_API_ENDPOINT")
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one(
    {},
    sort={"$vector": [.12, .52, .32]}
)

print(result)
import { DataAPIClient } from '@datastax/astra-db-ts';

// Get an existing collection
const client = new DataAPIClient('ASTRA_DB_APPLICATION_TOKEN');
const database = client.db('ASTRA_DB_API_ENDPOINT');
const collection = database.collection('COLLECTION_NAME');

// Find a document
(async function () {
  const result = await collection.findOne(
    {},
    { sort: { $vector: [.12, .52, .32] } }
  );

  console.log(result);
})();
package com.datastax.astra.client.collection;

import com.datastax.astra.client.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.model.Document;
import com.datastax.astra.client.model.Filter;
import com.datastax.astra.client.model.Filters;
import com.datastax.astra.client.model.FindOneOptions;

import java.util.Optional;

public class FindOne {

    public static void main(String[] args) {
        // Get an existing collection
        Collection<Document> collection = new DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
            .getDatabase("ASTRA_DB_API_ENDPOINT")
            .getCollection("COLLECTION_NAME");

        // Find a document
        FindOneOptions options = new FindOneOptions()
            .sort(new float[] {0.12f, 0.52f, 0.32f});
        Optional<Document> result = collection.findOne(options);
        System.out.println(result);
    }
}
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/ASTRA_DB_COLLECTION" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "sort": { "$vector": [.12, .52, .32] }
  }
}'

Use vector search and vectorize to find a document

To find the document whose $vector value is most similar to the $vector value of a given search string, use a sort with the search string that you want to vectorize and match. For more information, see Perform a vector search.

Vector search with vectorize is only available for collections that have vectorize enabled. For more information, see Vector and vectorize.

  • Python

  • TypeScript

  • Java

  • curl

from astrapy import DataAPIClient

# Get an existing collection
client = DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
database = client.get_database("ASTRA_DB_API_ENDPOINT")
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one(
    {},
    sort={"$vectorize": "Text to vectorize"}
)

print(result)
import { DataAPIClient } from '@datastax/astra-db-ts';

// Get an existing collection
const client = new DataAPIClient('ASTRA_DB_APPLICATION_TOKEN');
const database = client.db('ASTRA_DB_API_ENDPOINT');
const collection = database.collection('COLLECTION_NAME');

// Find a document
(async function () {
  const result = await collection.findOne(
    {},
    { sort: { $vectorize: "Text to vectorize" } }
  );

  console.log(result);
})();
package com.datastax.astra.client.collection;

import com.datastax.astra.client.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.model.Document;
import com.datastax.astra.client.model.Filter;
import com.datastax.astra.client.model.Filters;
import com.datastax.astra.client.model.FindOneOptions;

import java.util.Optional;

public class FindOne {

    public static void main(String[] args) {
        // Get an existing collection
        Collection<Document> collection = new DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
            .getDatabase("ASTRA_DB_API_ENDPOINT")
            .getCollection("COLLECTION_NAME");

        // Find a document
        FindOneOptions options = new FindOneOptions()
            .sort("Text to vectorize");
        Optional<Document> result = collection.findOne(options);
        System.out.println(result);
    }
}
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/ASTRA_DB_COLLECTION" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "sort": { "$vectorize": "Text to vectorize" }
  }
}'

Use sorting to find a document

You can use a sort clause to sort documents by one or more fields.

For more information, see Sort clauses.

Sort clauses can use only indexed fields. If you apply selective indexing when you create a collection, you can’t reference non-indexed fields in sort queries.

  • Python

  • TypeScript

  • Java

  • curl

from astrapy import DataAPIClient
from astrapy.constants import SortDocuments

# Get an existing collection
client = DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
database = client.get_database("ASTRA_DB_API_ENDPOINT")
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one(
    {"metadata.language": "English"},
    sort={
        "rating": SortDocuments.ASCENDING,
        "title": SortDocuments.DESCENDING,
    }
)

print(result)
import { DataAPIClient } from '@datastax/astra-db-ts';

// Get an existing collection
const client = new DataAPIClient('ASTRA_DB_APPLICATION_TOKEN');
const database = client.db('ASTRA_DB_API_ENDPOINT');
const collection = database.collection('COLLECTION_NAME');

// Find a document
(async function () {
  const result = await collection.findOne(
    { "metadata.language": "English" },
    { sort: {
      rating: 1, // ascending
      title: -1 // descending
    } }
  );

  console.log(result);
})();
package com.datastax.astra.client.collection;

import com.datastax.astra.client.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.model.Document;
import com.datastax.astra.client.model.Filter;
import com.datastax.astra.client.model.Filters;
import com.datastax.astra.client.model.FindOneOptions;

import java.util.Optional;

public class FindOne {

    public static void main(String[] args) {
        // Get an existing collection
        Collection<Document> collection = new DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
            .getDatabase("ASTRA_DB_API_ENDPOINT")
            .getCollection("COLLECTION_NAME");

        // Find a document
        Filter filter = Filters.eq("metadata.language", "English");
        FindOneOptions options = new FindOneOptions()
            .sort(Sorts.ascending("rating"))
            .sort(Sorts.descending("title"));
        Optional<Document> result = collection.findOne(filter, options);
        System.out.println(result);
    }
}
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/ASTRA_DB_COLLECTION" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "filter": { "metadata.language": "English" },
    "sort": {
      "rating": 1,
      "title": -1
    }
  }
}'

Include the similarity score with the result

If you use a vector search to find a document, you can also include a $similarity property in the result. The $similarity value represents the closeness of the sort vector and the document’s vector.

  • Python

  • TypeScript

  • Java

  • curl

from astrapy import DataAPIClient

# Get an existing collection
client = DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
database = client.get_database("ASTRA_DB_API_ENDPOINT")
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one(
    {},
    sort={"$vectorize": "Text to vectorize"},
    include_similarity=True
)

print(result)
import { DataAPIClient } from '@datastax/astra-db-ts';

// Get an existing collection
const client = new DataAPIClient('ASTRA_DB_APPLICATION_TOKEN');
const database = client.db('ASTRA_DB_API_ENDPOINT');
const collection = database.collection('COLLECTION_NAME');

// Find a document
(async function () {
  const result = await collection.findOne(
    {},
    {
      sort: { $vectorize: "Text to vectorize" },
      includeSimilarity: true
    },
  );

  console.log(result);
})();
package com.datastax.astra.client.collection;

import com.datastax.astra.client.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.model.Document;
import com.datastax.astra.client.model.Filter;
import com.datastax.astra.client.model.Filters;
import com.datastax.astra.client.model.FindOneOptions;

import java.util.Optional;

public class FindOne {

    public static void main(String[] args) {
        // Get an existing collection
        Collection<Document> collection = new DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
            .getDatabase("ASTRA_DB_API_ENDPOINT")
            .getCollection("COLLECTION_NAME");

        // Find a document
        FindOneOptions options = new FindOneOptions()
            .sort("Text to vectorize")
            .includeSimilarity();
        Optional<Document> result = collection.findOne(options);
        System.out.println(result);
    }
}
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/ASTRA_DB_COLLECTION" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "sort": { "$vectorize": "Text to vectorize" },
    "options": { "includeSimilarity": true }
  }
}'

Include only specific fields in the response

To specify which fields to include or exclude in the returned document, use a projection.

Certain fields, like $vector and $vectorize, are excluded by default and will only be returned if you specify that they should be included. Certain fields, like _id, are included by default.

  • Python

  • TypeScript

  • Java

  • curl

from astrapy import DataAPIClient

# Get an existing collection
client = DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
database = client.get_database("ASTRA_DB_API_ENDPOINT")
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one(
    {"metadata.language": "English"},
    projection={"isCheckedOut": True, "title": True}
)

print(result)
import { DataAPIClient } from '@datastax/astra-db-ts';

// Get an existing collection
const client = new DataAPIClient('ASTRA_DB_APPLICATION_TOKEN');
const database = client.db('ASTRA_DB_API_ENDPOINT');
const collection = database.collection('COLLECTION_NAME');

// Find a document
(async function () {
  const result = await collection.findOne(
    { "metadata.language": "English" },
    { projection: { isCheckedOut: true, title: true} },
  );

  console.log(result);
})();
package com.datastax.astra.client.collection;

import com.datastax.astra.client.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.model.Document;
import com.datastax.astra.client.model.Filter;
import com.datastax.astra.client.model.Filters;
import com.datastax.astra.client.model.FindOneOptions;

import java.util.Optional;

public class FindOne {

    public static void main(String[] args) {
        // Get an existing collection
        Collection<Document> collection = new DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
            .getDatabase("ASTRA_DB_API_ENDPOINT")
            .getCollection("COLLECTION_NAME");

        // Find a document
        Filter filter = Filters.eq("metadata.language", "English");
        FindOneOptions options = new FindOneOptions()
            .projection(Projections.include("isCheckedOut", "title"));
        Optional<Document> result = collection.findOne(filter, options);
        System.out.println(result);
    }
}
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/ASTRA_DB_COLLECTION" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "filter": {"metadata.language": "English"},
    "projection": {"isCheckedOut": true, "title": true}
  }
}'

Exclude specific fields from the response

To specify which fields to include or exclude in the returned document, use a projection.

Certain fields, like $vector and $vectorize, are excluded by default and will only be returned if you specify that they should be included. Certain fields, like _id, are included by default.

  • Python

  • TypeScript

  • Java

  • curl

from astrapy import DataAPIClient

# Get an existing collection
client = DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
database = client.get_database("ASTRA_DB_API_ENDPOINT")
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one(
    {"metadata.language": "English"},
    projection={"isCheckedOut": False, "title": False}
)

print(result)
import { DataAPIClient } from '@datastax/astra-db-ts';

// Get an existing collection
const client = new DataAPIClient('ASTRA_DB_APPLICATION_TOKEN');
const database = client.db('ASTRA_DB_API_ENDPOINT');
const collection = database.collection('COLLECTION_NAME');

// Find a document
(async function () {
  const result = await collection.findOne(
    { "metadata.language": "English" },
    { projection: { isCheckedOut: false, title: false} },
  );

  console.log(result);
})();
package com.datastax.astra.client.collection;

import com.datastax.astra.client.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.model.Document;
import com.datastax.astra.client.model.Filter;
import com.datastax.astra.client.model.Filters;
import com.datastax.astra.client.model.FindOneOptions;

import java.util.Optional;

public class FindOne {

    public static void main(String[] args) {
        // Get an existing collection
        Collection<Document> collection = new DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
            .getDatabase("ASTRA_DB_API_ENDPOINT")
            .getCollection("COLLECTION_NAME");

        // Find a document
        Filter filter = Filters.eq("metadata.language", "English");
        FindOneOptions options = new FindOneOptions()
            .projection(Projections.exclude("isCheckedOut", "title"));
        Optional<Document> result = collection.findOne(filter, options);
        System.out.println(result);
    }
}
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/ASTRA_DB_COLLECTION" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "filter": {"metadata.language": "English"},
    "projection": {"isCheckedOut": false, "title": false}
  }
}'

Use filter, sort, and projection together

  • Python

  • TypeScript

  • Java

  • curl

from astrapy import DataAPIClient
from astrapy.constants import SortDocuments

# Get an existing collection
client = DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
database = client.get_database("ASTRA_DB_API_ENDPOINT")
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one(
    {
        "$and": [
            {"isCheckedOut": False},
            {"numberOfPages": {"$lt": 300}},
        ]
    },
    sort={
        "rating": SortDocuments.ASCENDING,
        "title": SortDocuments.DESCENDING,
    },
    projection={"isCheckedOut": True, "title": True}
)

print(result)
import { DataAPIClient } from '@datastax/astra-db-ts';

// Get an existing collection
const client = new DataAPIClient('ASTRA_DB_APPLICATION_TOKEN');
const database = client.db('ASTRA_DB_API_ENDPOINT');
const collection = database.collection('COLLECTION_NAME');

// Find a document
(async function () {
  const result = await collection.findOne(
    {
      $and: [{ isCheckedOut: false }, { numberOfPages: { $lt: 300 } }],
    },
    {
      sort: {
        rating: 1, // ascending
        title: -1, // descending
      },
      projection: {
        isCheckedOut: true,
        title: true,
      },
    },
  );

  console.log(result)
})();
package com.datastax.astra.client.collection;

import com.datastax.astra.client.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.model.Document;
import com.datastax.astra.client.model.Filter;
import com.datastax.astra.client.model.Filters;
import com.datastax.astra.client.model.FindOneOptions;

import java.util.Optional;

public class FindOne {

    public static void main(String[] args) {
        // Get an existing collection
        Collection<Document> collection = new DataAPIClient("ASTRA_DB_APPLICATION_TOKEN")
            .getDatabase("ASTRA_DB_API_ENDPOINT")
            .getCollection("COLLECTION_NAME");

        // Find a document
        Filter filter = Filters.and(
          Filters.eq("isCheckedOut", false),
          Filters.lt("numberOfPages", 300));
        FindOneOptions options = new FindOneOptions()
            .sort(Sorts.ascending("rating"))
            .sort(Sorts.descending("title"))
            .projection(Projections.include("isCheckedOut", "title"));
        Optional<Document> result = collection.findOne(filter, options);
        System.out.println(result);
    }
}
curl -sS -L -X POST "ASTRA_DB_API_ENDPOINT/api/json/v1/ASTRA_DB_KEYSPACE/ASTRA_DB_COLLECTION" \
--header "Token: ASTRA_DB_APPLICATION_TOKEN" \
--header "Content-Type: application/json" \
--data '{
  "findOne": {
    "filter": {"$and": [
      {"isCheckedOut": false},
      {"numberOfPages": {"$lt": 300}}
    ]},
    "sort": {
      "rating": 1,
      "title": -1
    },
    "projection": {"isCheckedOut": true, "title": true}
  }
}'

Client reference

  • Python

  • TypeScript

  • Java

  • curl

For more information, see the client reference.

For more information, see the client reference.

For more information, see the client reference.

Client reference documentation is not applicable for HTTP.

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