Update a document

Finds a single document in a collection using filter and sort clauses, and then updates properties in that document. Optionally, if no document matches the filter, inserts a new document.

This method and the method to find and update a document have the same database effect but differ in their return value. This method returns details about the success of the update. The method to find and update a document returns the document that was found and updated.

Method signature

  • Python

  • TypeScript

  • Java

  • curl

The following method belongs to the astrapy.Collection class.

update_one(
  filter: Dict[str, Any],
  update: Dict[str, Any],
  *,
  sort: Dict[str, Any],
  upsert: bool,
  general_method_timeout_ms: int,
  request_timeout_ms: int,
  timeout_ms: int,
) -> CollectionUpdateResult:

The following method belongs to the Collection class.

async updateOne(
  filter: CollectionFilter<Schema>,
  update: CollectionUpdateFilter<Schema>,
  options?: {
    upsert?: boolean,
    sort?: Sort,
    timeout?: number | TimeoutDescriptor,
  },
): CollectionUpdateOneResult<Schema>

The following methods belong to the com.datastax.astra.client.Collection class.

CollectionUpdateResult updateOne(
  Filter filter,
  Update update
)
CollectionUpdateResult updateOne(
  Filter filter,
  Update update,
  CollectionUpdateOneOptions 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 '{
  "updateOne": {
    "filter": FILTER,
    "update": UPDATE,
    "sort": SORT,
    "options": {
      "upsert": BOOLEAN
    }
  }
}'

Result

  • Python

  • TypeScript

  • Java

  • curl

Updates a document that matches the specified parameters and returns a CollectionUpdateResult object that includes details about the success of the operation.

Example response:

CollectionUpdateResult(update_info={'n': 1, 'updatedExisting': True, 'ok': 1.0, 'nModified': 1}, raw_results=...)

Updates a document that matches the specified parameters and returns a promise that resolves to a CollectionUpdateOneResult<Schema> object that includes details about the success of the operation.

Example resolved response:

{ modifiedCount: 1, matchedCount: 1, upsertedCount: 0 }

Updates a document that matches the specified parameters and returns CollectionUpdateResult that includes details about the success of the operation.

Updates a document that matches the specified parameters and returns an object that includes details about the success of the operation.

Example response:

{
  "status": {
    "matchedCount": 1,
    "modifiedCount": 1
  }
}

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 Filter operators for collections.

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.

update

object

An object that defines the updates using Data API operators.

For a list of available operators and more examples, see Update operators for collections.

sort

Dict[str, Any]

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

For more information, see Sort clauses for collections.

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.

upsert

bool

Optional. Whether to insert a new document if no document matches the filter criteria.

Default: False

general_method_timeout_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 or DataAPIClient object. For more information, see Timeout options.

request_timeout_ms

int

Optional. An alias for general_method_timeout_ms. Since this method issues a single HTTP request, general_method_timeout_ms and request_timeout_ms are equivalent.

timeout_ms

int

Optional. An alias for general_method_timeout_ms.
Name Type Summary

filter

CollectionFilter<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 Filter operators for collections.

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.

update

CollectionUpdateFilter<Schema>

An object that defines the updates using Data API operators.

For a list of available operators and more examples, see Update operators for collections.

options

CollectionUpdateOneOptions

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

upsert

boolean

Optional. Whether to insert a new document if no document matches the filter criteria.

Default: False

sort

Sort

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

For more information, see Sort clauses for collections.

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.

timeout

number | TimeoutDescriptor

Optional.

The timeout(s) to apply to this method. You can specify requestTimeoutMs and generalMethodTimeoutMs. Since this method issues a single HTTP request, these timeouts are equivalent.

Details about the timeout parameter

The TimeoutDescriptor object can contain these properties:

  • requestTimeoutMs (number): The maximum time, in milliseconds, that the client should wait for each underlying HTTP request. Default: The default value for the collection. This default is 10 seconds unless you specified a different default when you initialized the Collection or DataAPIClient object.

  • generalMethodTimeoutMs (number): The maximum time, in milliseconds, that the whole operation can take. Since this method issues a single HTTP request, generalMethodTimeoutMs and requestTimeoutMs are equivalent. If you specify both, the minimum of the two will be used. Default: The default value for the collection. This default is 30 seconds unless you specified a different default when you initialized the Collection or DataAPIClient object.

If you specify a number instead of a TimeoutDescriptor object, that number will be applied to both requestTimeoutMs and generalMethodTimeoutMs.
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 Filter operators for collections.

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.

update

Update

An object that defines the updates using Data API operators.

For a list of available operators and more examples, see Update operators for collections.

options

CollectionUpdateOneOptions

Optional. The options for this operation. See the methods of the CollectionUpdateOneOptions class for more details.
Methods of the CollectionUpdateOneOptions 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 for collections.

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.

upsert()

boolean

Optional. Whether to insert a new document if no document matches the filter criteria.

Default: False

Use the updateOne 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 Filter operators for collections.

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 for collections.

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.

update

object

An object that defines the updates using Data API operators.

For a list of available operators and more examples, see Update operators for collections.

options

object

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

upsert

boolean

Optional. Whether to insert a new document if no document matches the filter criteria.

Default: False

Examples

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

Update a document by ID

All documents have a unique _id property. You can use a filter to find a document with a specific _id, and then update that document.

  • 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")

# Update a document
result = collection.update_one(
    {"_id": "101"},
    {"$set": {"color": "blue"}}
)

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');

// Update a document
(async function () {
  const result = await collection.updateOne(
    { _id: "101" },
    {$set: {color: "blue"}}
  );

  console.log(result);
})();
package com.examples;

import com.datastax.astra.client.collections.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.collections.definition.documents.Document;
import com.datastax.astra.client.core.query.Filter;
import com.datastax.astra.client.core.query.Filters;
import com.datastax.astra.client.collections.commands.Update;
import com.datastax.astra.client.collections.commands.results.CollectionUpdateResult;
import com.datastax.astra.client.collections.commands.Updates;

import java.util.Optional;

public class UpdateOne {

    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");

        // Update a document
        Filter filter = Filters.eq("_id", "101");
        Update update = Updates.set("color", "blue");
        CollectionUpdateResult result = collection.updateOne(filter, update);
        System.out.println(result.getMatchedCount());
        System.out.println(result.getModifiedCount());
    }
}
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 '{
  "updateOne": {
    "filter": {
      "_id": "101"
    },
    "update": { "$set": { "color": "blue" } }
  }
}'

Update a document that matches a filter

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 Filter operators for collections.

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")

# Update a document
result = collection.update_one(
    {
        "$and": [
            {"isCheckedOut": False},
            {"numberOfPages": {"$lt": 300}},
        ]
    },
    {"$set": {"color": "blue"}}
)

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');

// Update a document
(async function () {
  const result = await collection.updateOne(
    {
      $and: [
        { isCheckedOut: false },
        { numberOfPages: { $lt: 300 } }
      ],
    },
    {$set: {color: "blue"}}
  );

  console.log(result);
})();
package com.examples;

import com.datastax.astra.client.collections.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.collections.definition.documents.Document;
import com.datastax.astra.client.core.query.Filter;
import com.datastax.astra.client.core.query.Filters;
import com.datastax.astra.client.collections.commands.Update;
import com.datastax.astra.client.collections.commands.results.CollectionUpdateResult;
import com.datastax.astra.client.collections.commands.Updates;

import java.util.Optional;

public class UpdateOne {

    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");

        // Update a document
        Filter filter = Filters.and(
          Filters.eq("isCheckedOut", false),
          Filters.lt("numberOfPages", 300));
        Update update = Updates.set("color", "blue");
        CollectionUpdateResult result = collection.updateOne(filter, update);
        System.out.println(result.getMatchedCount());
        System.out.println(result.getModifiedCount());
    }
}
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 '{
  "updateOne": {
    "filter": {"$and": [
      {"isCheckedOut": false},
      {"numberOfPages": {"$lt": 300}}
    ]},
    "update": { "$set": { "color": "blue" } }
  }
}'

Update a document that is most similar to a search vector

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 Find data with vector search.

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

  • 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")

# Update a document
result = collection.update_one(
    {},
    {"$set": {"color": "blue"}},
    sort={"$vector": [0.1, 0.2, 0.3]},
)

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');

// Update a document
(async function () {
  const result = await collection.updateOne(
    {},
    {$set: {color: "blue"}},
    { sort: { $vector: [0.1, 0.2, 0.3] } },
  );

  console.log(result);
})();

The Java client does not support vector search with updateOne. Instead, you can use findOne to find the _id of a document with vector search, and then use updateOne and the document’s _id to update the document. Or, you can use findOneAndUpdate.

You can provide the search vector as an array of floats, or you can use $binary to provide the search vector as a Base64-encoded string. $binary can be more performant.

  • Array of floats

  • $binary

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 '{
  "updateOne": {
    "sort": {
      "$vector": [.12, .52, .32]
    },
    "update": { "$set": { "color": "blue" } }
  }
}'
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 '{
  "updateOne": {
    "sort": {
      "$vector": {"$binary": "PfXCjz8FHrg+o9cK"}
    },
    "update": { "$set": { "color": "blue" } }
  }
}'

Update a document that is most similar to a search string

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 Find data with vector search.

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

  • 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")

# Update a document
result = collection.update_one(
    {},
    {"$set": {"color": "blue"}},
    sort={"$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');

// Update a document
(async function () {
  const result = await collection.updateOne(
    {},
    {$set: {color: "blue"}},
    { sort: { $vectorize: "Text to vectorize" } }
  );

  console.log(result);
})();

The Java client does not support vector search with updateOne. Instead, you can use findOne to find the _id of a document with vector search, and then use updateOne and the document’s _id to update the document. Or, you can use findOneAndUpdate.

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 '{
  "updateOne": {
    "sort": { "$vectorize": "Text to vectorize" },
    "update": { "$set": { "color": "blue" } }
  }
}'

Update multiple properties

You can combine multiple operators and properties in a single call. For the full list of operators, see Update operators for collections.

  • 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")

# Update a document
result = collection.update_one(
    {"_id": "101"},
    {
        "$set": {
            "color": "blue",
            "classes": ["biology", "algebra", "swimming"]
            },
        "$unset": {
            "phone": ""
        },
        "$inc": {
          "age": 1
        }
    }
)

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');

// Update a document
(async function () {
  const result = await collection.updateOne(
    { _id: '101' },
    {
      $set: {
        color: "blue",
        classes: ["biology", "algebra", "swimming"]
      },
      $unset: {
        phone: ""
      },
      $inc: {
        age: 1
      }
    }
  );

  console.log(result);
})();
package com.examples;

import com.datastax.astra.client.collections.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.collections.definition.documents.Document;
import com.datastax.astra.client.core.query.Filter;
import com.datastax.astra.client.core.query.Filters;
import com.datastax.astra.client.collections.commands.Update;
import com.datastax.astra.client.collections.commands.results.CollectionUpdateResult;
import com.datastax.astra.client.collections.commands.Updates;

import java.util.Arrays;
import java.util.Optional;

public class UpdateOne {

    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");

        // Update a document
        Filter filter = Filters.eq("_id", "101");
        Update update = Updates
          .set("color", "blue")
          .set("classes", Arrays.asList("biology", "algebra", "swimming"))
          .unset("phone")
          .inc("age", 1.0);
        CollectionUpdateResult result = collection.updateOne(filter, update);
        System.out.println(result.getMatchedCount());
        System.out.println(result.getModifiedCount());
    }
}
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 '{
  "updateOne": {
    "filter": {
      "_id": "101"
    },
    "update": {
        "$set": {
            "color": "blue",
            "classes": ["biology", "algebra", "swimming"]
            },
        "$unset": {
            "phone": ""
        },
        "$inc": {
          "age": 1
        }
    }
  }
}'

Update nested properties

To update a nested property, use dot notation. For example, field.subfield.subsubfield.

To update an item in a list, specify a numeric index. For example, listProperty.3.

  • 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")

# Update a document
result = collection.update_one(
  {"_id": "101"},
  {
    "$set": {
      "color": "blue",
      "address.city": "Austin",
      "classes.2": "biology"
    }
  }
)

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');

// Update a document
(async function () {
  const result = await collection.updateOne(
    { _id: '101' },
    {
      $set: {
        color: "blue",
        "address.city": "Austin",
        "classes.2": "biology"
      }
    }
  );

  console.log(result);
})();
package com.examples;

import com.datastax.astra.client.collections.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.collections.definition.documents.Document;
import com.datastax.astra.client.core.query.Filter;
import com.datastax.astra.client.core.query.Filters;
import com.datastax.astra.client.collections.commands.Update;
import com.datastax.astra.client.collections.commands.results.CollectionUpdateResult;
import com.datastax.astra.client.collections.commands.Updates;

import java.util.Optional;

public class UpdateOne {

    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");

        // Update a document
        Filter filter = Filters.eq("_id", "101");
        Update update = Updates
          .set("color", "blue")
          .set("address.city", "Austin")
          .set("classes.2", "biology");
        CollectionUpdateResult result = collection.updateOne(filter, update);
        System.out.println(result.getMatchedCount());
        System.out.println(result.getModifiedCount());
    }
}
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 '{
  "updateOne": {
    "filter": {
      "_id": "101"
    },
    "update": {
        "$set": {
            "color": "blue",
            "address.city": "Austin",
            "classes.2": "biology"
            }
    }
  }
}'

Insert a new document if no matching document exists

You can use upsert to insert a new document if no document matches the filter criteria.

  • 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")

# Update a document
result = collection.update_one(
    {
        "$and": [
            {"isCheckedOut": False},
            {"numberOfPages": {"$lt": 300}},
        ]
    },
    {"$set": {"color": "blue"}},
    upsert=True,
)

print(result)

You can also use the setOnInsert operator specify additional fields to set if a new document is created:

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")

# Update a document
result = collection.update_one(
    {
        "$and": [
            {"isCheckedOut": False},
            {"numberOfPages": {"$lt": 300}},
        ]
    },
    {
      "$set": {"color": "blue"},
      "$setOnInsert": {
          "customer.name": "James"
        }
    },
    upsert=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');

// Update a document
(async function () {
  const result = await collection.updateOne(
    {
      $and: [
        { isCheckedOut: false },
        { numberOfPages: { $lt: 300 } }
      ],
    },
    { $set: {color: "blue"} },
    { upsert: true },
  );

  console.log(result);
})();

You can also use the setOnInsert operator specify additional fields to set if a new document is created:

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');

// Update a document
(async function () {
  const result = await collection.updateOne(
    {
      $and: [
        { isCheckedOut: false },
        { numberOfPages: { $lt: 300 } }
      ],
    },
    {
      $set: {color: "blue"},
      $setOnInsert: {
        "customer.name": "James"
      }
    },
    { upsert: true },
  );

  console.log(result);
})();
package com.examples;

import com.datastax.astra.client.collections.Collection;
import com.datastax.astra.client.DataAPIClient;
import com.datastax.astra.client.collections.definition.documents.Document;
import com.datastax.astra.client.core.query.Filter;
import com.datastax.astra.client.core.query.Filters;
import com.datastax.astra.client.collections.commands.Update;
import com.datastax.astra.client.collections.commands.results.CollectionUpdateResult;
import com.datastax.astra.client.collections.commands.Updates;
import com.datastax.astra.client.collections.commands.options.CollectionUpdateOneOptions;

import java.util.Optional;

public class UpdateOne {

    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");

        // Update a document
        Filter filter = Filters.and(
          Filters.eq("isCheckedOut", false),
          Filters.lt("numberOfPages", 300));
        Update update = Updates.set("color", "blue");
        CollectionUpdateOneOptions options = new CollectionUpdateOneOptions().upsert(true);
        CollectionUpdateResult result = collection.updateOne(filter, update, options);
        System.out.println(result.getMatchedCount());
        System.out.println(result.getModifiedCount());
        System.out.println(result.getUpsertedId());
    }
}
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 '{
  "updateOne": {
    "filter": {"$and": [
      {"isCheckedOut": false},
      {"numberOfPages": {"$lt": 300}}
    ]},
    "update": { "$set": { "color": "blue" } },
    "options": { "upsert": true }
  }
}'

You can also use the setOnInsert operator specify additional fields to set if a new document is created:

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 '{
  "updateOne": {
    "filter": {"$and": [
      {"isCheckedOut": false},
      {"numberOfPages": {"$lt": 300}}
    ]},
    "update": {
      "$set": { "color": "blue" },
      "$setOnInsert": {
        "customer.name": "James"
      }
    },
    "options": { "upsert": 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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