Find and update a document (Python)

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

Ready to write code? See the examples for this method to get started. If you are new to the Data API, check out the quickstart.

Result

Updates a document that matches the specified parameters, and returns a dictionary representation of the document. If no document was found, returns None.

The method parameters control whether the returned document reflects the original or updated values.

The fields included in the returned document depend on the projection specified in the method.

If an upsert is requested, the method inserts a new document if no document matches the filter.

Example response:

{'_id': 101, 'name': 'John Doe'}

Parameters

Use the find_one_and_update method, which belongs to the astrapy.Collection class.

Method signature
find_one_and_update(
  filter: Dict[str, Any],
  update: Dict[str, Any],
  *,
  projection: Dict[str, bool],
  sort: Dict[str, Any],
  upsert: bool,
  return_document: str,
  general_method_timeout_ms: int,
  request_timeout_ms: int,
  timeout_ms: int,
) -> Dict[str, Any]
Name Type Summary

filter

Dict[str, Any]

An object that defines filter criteria using the Data API filter syntax. The method only finds documents that match the filter criteria. Filters can improve performance by reducing the number of documents that the Data API processes.

You must use & to escape any . or & in field names in the filter clause. You cannot use & to escape any other characters. For more information, see Work with . and & in field names (Python).

For a list of available filter operators and more examples, see Filter operators for collections (Python).

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

update

Dict[str, Any]

An object that defines the updates using Data API operators.

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

You must use & to escape any . or & in field names in the update clause. You cannot use & to escape any other characters. For more information, see Work with . and & in field names (Python).

projection

Dict[str, bool]

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

You must use & to escape any . or & in field names in the projection clause. You cannot use & to escape any other characters. For more information, see Work with . and & in field names (Python).

For more information, see Projections for collections (Python).

Default: The default projection for the collection. All fields prefixed with $ are excluded by default and will only be returned if you include them in the projection. _id is included by default and will always be returned unless you exclude it from the projection.

sort

Dict[str, Any]

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

You must use & to escape any . or & in field names in the sort clause. You cannot use & to escape any other characters. For more information, see Work with . and & in field names (Python).

For more information, see Sort clauses for collections (Python).

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

For vector searches, this parameter can use $vector.

upsert

bool

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

Default: False

return_document

str

Optional. Controls whether the response reflects the document before or after the update.

Can be one of:

Default: ReturnDocument.BEFORE

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.

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.

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

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

print(result)

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 is_checked_out value of false and a number_of_pages value less than 300.

For a list of available filter operators and more examples, see Filter operators for collections (Python).

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

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

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

print(result)

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 Create a collection that can store vector embeddings and $vector in collections (Python).

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

# Update a document
result = collection.find_one_and_update(
    {}, {"$set": {"color": "blue"}}, sort={"$vector": [0.08, -0.62, 0.39]}
)

print(result)

Update a document after applying a non-vector sort

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

For more information, see Sort clauses for collections (Python).

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

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment, SortMode

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one_and_update(
    {"metadata.language": "English"},
    {"$set": {"color": "blue"}},
    sort={
        "rating": SortMode.ASCENDING,
        "title": SortMode.DESCENDING,
    },
)

print(result)

Update multiple properties

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

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

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

print(result)

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.

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

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

print(result)

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.

In addition to any fields you explicitly set in the update parameter, the new document also includes any top-level equality conditions from the filter parameter. Equality conditions that are nested within $and from the filter parameter are not included. If a field is defined both in the filter and in the update, the explicitly set value takes precedence.

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

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

print(result)

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

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

# Update a document
result = collection.find_one_and_update(
    {
        "$and": [
            {"is_checked_out": False},
            {"number_of_pages": {"$lt": 300}},
        ]
    },
    {
        "$set": {"color": "blue"},
        "$setOnInsert": {"customer.name": "James"},
    },
    upsert=True,
)

print(result)

Include the updated values in the response

By default, the response reflects the document before the update. You can specify that you want the response to use the updated values instead.

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment, ReturnDocument

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

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

print(result)

Include only specific fields in the response

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

All fields prefixed with $ are excluded by default and will only be returned if you include them in the projection. _id is included by default and will always be returned unless you exclude it from the projection.

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one_and_update(
    {"metadata.language": "English"},
    {"$set": {"color": "blue"}},
    projection={"is_checked_out": True, "title": True},
)

print(result)

Exclude specific fields from the response

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

All fields prefixed with $ are excluded by default and will only be returned if you include them in the projection. _id is included by default and will always be returned unless you exclude it from the projection.

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one_and_update(
    {"metadata.language": "English"},
    {"$set": {"color": "blue"}},
    projection={"is_checked_out": False, "title": False},
)

print(result)

Work with . and & in field names

You must use & to escape any . or & in field names when the field is used in a filter, sort, projection, update, or indexing clause. Dot notation, which is used to reference nested fields, should not be escaped. For more information, see Work with . and & in field names (Python).

For example, in the following document, you would use escaping like this: areas.r&&d, costs.price&.usd, and costs.price&.cad.

{
  "areas": {
    "r&d": true,
    "design": false
  },
  "costs": {
    "price.usd": 100,
    "price.cad": 90
  }
}

The following example uses untyped documents or rows, but you can define a client-side type for your collection to help statically catch errors. For examples, see Typing support.

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one_and_update(
    {
        "$and": [
            {"areas.r&&d": False},
            {"costs.price&.usd": {"$lt": 300}},
        ]
    },
    {"$set": {"areas.r&&d": True, "costs.price&.usd": 310}},
)

print(result)

You can also use the escape_field_names function provided by the client:

from astrapy import DataAPIClient
from astrapy.authentication import UsernamePasswordTokenProvider
from astrapy.constants import Environment
from astrapy.utils.document_paths import escape_field_names

# Get an existing collection
client = DataAPIClient(environment=Environment.HCD)
database = client.get_database(
    "API_ENDPOINT",
    token=UsernamePasswordTokenProvider("USERNAME", "PASSWORD"),
    keyspace="KEYSPACE_NAME",
)
collection = database.get_collection("COLLECTION_NAME")

# Find a document
result = collection.find_one_and_update(
    {
        "$and": [
            {escape_field_names("areas", "r&d"): False},
            {escape_field_names("costs", "price.usd"): {"$lt": 300}},
        ]
    },
    {
        "$set": {
            escape_field_names("areas", "r&d"): True,
            escape_field_names("costs", "price.usd"): 310,
        }
    },
)

print(result)

Client reference

For more information, see the client reference.

Was this helpful?

Give Feedback

How can we improve the documentation?

© Copyright IBM Corporation 2026 | Privacy policy | Terms of use Manage Privacy Choices

Apache, Apache Cassandra, Cassandra, Apache Tomcat, Tomcat, Apache Lucene, Apache Solr, Apache Hadoop, Hadoop, Apache Pulsar, Pulsar, Apache Spark, Spark, Apache TinkerPop, TinkerPop, Apache Kafka and Kafka are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries. Kubernetes is the registered trademark of the Linux Foundation.

General Inquiries: Contact IBM