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update_item async

update_item(
    table_name: TableArn,
    key: Key,
    *,
    config_overrides: Optional[AsyncDynamoDBClientConfig] = None,
    attribute_updates: Optional[AttributeUpdates] = None,
    expected: Optional[ExpectedAttributeMap] = None,
    conditional_operator: Optional[ConditionalOperator] = None,
    return_values: Optional[ReturnValue] = None,
    return_consumed_capacity: Optional[ReturnConsumedCapacity] = None,
    return_item_collection_metrics: Optional[ReturnItemCollectionMetrics] = None,
    update_expression: Optional[UpdateExpression] = None,
    condition_expression: Optional[ConditionExpression] = None,
    expression_attribute_names: Optional[ExpressionAttributeNameMap] = None,
    expression_attribute_values: Optional[ExpressionAttributeValueMap] = None,
    return_values_on_condition_check_failure: Optional[
        ReturnValuesOnConditionCheckFailure
    ] = None,
) -> UpdateItemOutput

Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).

You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.

Parameters:

  • table_name (TableArn) –

    The name of the table containing the item to update. You can also provide the Amazon Resource Name (ARN) of the table in this parameter.

  • key (Key) –

    The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute.

    For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.

  • attribute_updates (Optional[AttributeUpdates], default: None ) –

    This is a legacy parameter. Use UpdateExpression instead. For more information, see AttributeUpdates in the Amazon DynamoDB Developer Guide.

  • expected (Optional[ExpectedAttributeMap], default: None ) –

    This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide.

  • conditional_operator (Optional[ConditionalOperator], default: None ) –

    This is a legacy parameter. Use ConditionExpression instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.

  • return_values (Optional[ReturnValue], default: None ) –

    Use ReturnValues if you want to get the item attributes as they appear before or after they are successfully updated. For UpdateItem, the valid values are:

    • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)

    • ALL_OLD - Returns all of the attributes of the item, as they appeared before the UpdateItem operation.

    • UPDATED_OLD - Returns only the updated attributes, as they appeared before the UpdateItem operation.

    • ALL_NEW - Returns all of the attributes of the item, as they appear after the UpdateItem operation.

    • UPDATED_NEW - Returns only the updated attributes, as they appear after the UpdateItem operation.

    There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No read capacity units are consumed.

    The values returned are strongly consistent.

  • return_item_collection_metrics (Optional[ReturnItemCollectionMetrics], default: None ) –

    Determines whether item collection metrics are returned. If set to SIZE, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to NONE (the default), no statistics are returned.

  • update_expression (Optional[UpdateExpression], default: None ) –

    An expression that defines one or more attributes to be updated, the action to be performed on them, and new values for them.

    The following action values are available for UpdateExpression.

    • SET - Adds one or more attributes and values to an item. If any of these attributes already exist, they are replaced by the new values. You can also use SET to add or subtract from an attribute that is of type Number. For example: SET myNum = myNum + :val

      SET supports the following functions:

      • if_not_exists (path, operand) - if the item does not contain an attribute at the specified path, then if_not_exists evaluates to operand; otherwise, it evaluates to path. You can use this function to avoid overwriting an attribute that may already be present in the item.

      • list_append (operand, operand) - evaluates to a list with a new element added to it. You can append the new element to the start or the end of the list by reversing the order of the operands.

      These function names are case-sensitive.

    • REMOVE - Removes one or more attributes from an item.

    • ADD - Adds the specified value to the item, if the attribute does not already exist. If the attribute does exist, then the behavior of ADD depends on the data type of the attribute:

      • If the existing attribute is a number, and if Value is also a number, then Value is mathematically added to the existing attribute. If Value is a negative number, then it is subtracted from the existing attribute.

        If you use ADD to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value.

        Similarly, if you use ADD for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update doesn't have an attribute named itemcount, but you decide to ADD the number 3 to this attribute anyway. DynamoDB will create the itemcount attribute, set its initial value to 0, and finally add 3 to it. The result will be a new itemcount attribute in the item, with a value of 3.

      • If the existing data type is a set and if Value is also a set, then Value is added to the existing set. For example, if the attribute value is the set [1,2], and the ADD action specified [3], then the final attribute value is [1,2,3]. An error occurs if an ADD action is specified for a set attribute and the attribute type specified does not match the existing set type.

        Both sets must have the same primitive data type. For example, if the existing data type is a set of strings, the Value must also be a set of strings.

      The ADD action only supports Number and set data types.

    • DELETE - Deletes an element from a set.

      If a set of values is specified, then those values are subtracted from the old set. For example, if the attribute value was the set [a,b,c] and the DELETE action specifies [a,c], then the final attribute value is [b]. Specifying an empty set is an error.

      The DELETE action only supports set data types.

    You can have many actions in a single expression, such as the following: SET a=:value1, b=:value2 DELETE :value3, :value4, :value5

    For more information on update expressions, see Modifying Items and Attributes in the Amazon DynamoDB Developer Guide.

  • condition_expression (Optional[ConditionExpression], default: None ) –

    A condition that must be satisfied in order for a conditional update to succeed.

    An expression can contain any of the following:

    • Functions: attribute_exists | attribute_not_exists | attribute_type | contains | begins_with | size

      These function names are case-sensitive.

    • Comparison operators: = | <> | < | > | <= | >= | BETWEEN | IN

    • Logical operators: AND | OR | NOT

    For more information about condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide.

  • expression_attribute_names (Optional[ExpressionAttributeNameMap], default: None ) –

    One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames:

    • To access an attribute whose name conflicts with a DynamoDB reserved word.

    • To create a placeholder for repeating occurrences of an attribute name in an expression.

    • To prevent special characters in an attribute name from being misinterpreted in an expression.

    Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:

    • Percentile

    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide.) To work around this, you could specify the following for ExpressionAttributeNames:

    • {"#P":"Percentile"}

    You could then use this substitution in an expression, as in this example:

    • #P = :val

    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.

    For more information about expression attribute names, see Specifying Item Attributes in the Amazon DynamoDB Developer Guide.

  • expression_attribute_values (Optional[ExpressionAttributeValueMap], default: None ) –

    One or more values that can be substituted in an expression.

    Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:

    Available | Backordered | Discontinued

    You would first need to specify ExpressionAttributeValues as follows:

    { ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }

    You could then use these values in an expression, such as this:

    ProductStatus IN (:avail, :back, :disc)

    For more information on expression attribute values, see Condition Expressions in the Amazon DynamoDB Developer Guide.

  • return_values_on_condition_check_failure (Optional[ReturnValuesOnConditionCheckFailure], default: None ) –

    An optional parameter that returns the item attributes for an UpdateItem operation that failed a condition check.

    There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No read capacity units are consumed.

Raises:

  • ConditionalCheckFailedException –

    A condition specified in the operation failed to be evaluated.

  • InternalServerError –

    An error occurred on the server side.

  • ItemCollectionSizeLimitExceededException –

    An item collection is too large. This exception is only returned for tables that have one or more local secondary indexes.

  • ProvisionedThroughputExceededException –

    The request was denied due to request throttling. For detailed information about why the request was throttled and the ARN of the impacted resource, find the ThrottlingReason field in the returned exception. The Amazon Web Services SDKs for DynamoDB automatically retry requests that receive this exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.

  • ReplicatedWriteConflictException –

    The request was rejected because one or more items in the request are being modified by a request in another Region.

  • RequestLimitExceeded –

    Throughput exceeds the current throughput quota for your account. For detailed information about why the request was throttled and the ARN of the impacted resource, find the ThrottlingReason field in the returned exception. Contact Amazon Web Services Support to request a quota increase.

  • ResourceNotFoundException –

    The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.

  • ThrottlingException –

    The request was denied due to request throttling. For detailed information about why the request was throttled and the ARN of the impacted resource, find the ThrottlingReason field in the returned exception.

  • TransactionConflictException –

    Operation was rejected because there is an ongoing transaction for the item.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Examples:

To update an item in a table This example updates an item in the Music table. It adds a new attribute (Year) and modifies the AlbumTitle attribute. All of the attributes in the item, as they appear after the update, are returned in the response.

>>> await client.update_item(table_name='Music', key={'Artist': {'S': 'Acme Band'}, 'SongTitle': {'S': 'Happy Day'}}, update_expression='SET #Y = :y, #AT = :t', expression_attribute_names={'#Y': 'Year', '#AT': 'AlbumTitle'}, expression_attribute_values={':y': {'N': '2015'}, ':t': {'S': 'Louder Than Ever'}}, return_values='ALL_NEW')
Source code in docs_src/capo_dynamodb/_services/async_dynamo_db.py
async def update_item(
    self,
    table_name: "capo_dynamodb.types.table_arn.TableArn",
    key: "capo_dynamodb.types.key.Key",
    *,
    config_overrides: Optional[AsyncDynamoDBClientConfig] = None,
    attribute_updates: Optional[
        "capo_dynamodb.types.attribute_updates.AttributeUpdates"
    ] = None,
    expected: Optional[
        "capo_dynamodb.types.expected_attribute_map.ExpectedAttributeMap"
    ] = None,
    conditional_operator: Optional[
        "capo_dynamodb.types.conditional_operator.ConditionalOperator"
    ] = None,
    return_values: Optional["capo_dynamodb.types.return_value.ReturnValue"] = None,
    return_consumed_capacity: Optional[
        "capo_dynamodb.types.return_consumed_capacity.ReturnConsumedCapacity"
    ] = None,
    return_item_collection_metrics: Optional[
        "capo_dynamodb.types.return_item_collection_metrics.ReturnItemCollectionMetrics"
    ] = None,
    update_expression: Optional[
        "capo_dynamodb.types.update_expression.UpdateExpression"
    ] = None,
    condition_expression: Optional[
        "capo_dynamodb.types.condition_expression.ConditionExpression"
    ] = None,
    expression_attribute_names: Optional[
        "capo_dynamodb.types.expression_attribute_name_map.ExpressionAttributeNameMap"
    ] = None,
    expression_attribute_values: Optional[
        "capo_dynamodb.types.expression_attribute_value_map.ExpressionAttributeValueMap"
    ] = None,
    return_values_on_condition_check_failure: Optional[
        "capo_dynamodb.types.return_values_on_condition_check_failure.ReturnValuesOnConditionCheckFailure"
    ] = None,
) -> "capo_dynamodb.types.update_item_output.UpdateItemOutput":
    """<p>Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).</p> <p>You can also return the item's attribute values in the same <code>UpdateItem</code> operation using the <code>ReturnValues</code> parameter.</p>

    Args:
        table_name: <p>The name of the table containing the item to update. You can also provide the Amazon Resource Name (ARN) of the table in this parameter.</p>
        key: <p>The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute.</p> <p>For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.</p>
        attribute_updates: <p>This is a legacy parameter. Use <code>UpdateExpression</code> instead. For more information, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/LegacyConditionalParameters.AttributeUpdates.html">AttributeUpdates</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p>
        expected: <p>This is a legacy parameter. Use <code>ConditionExpression</code> instead. For more information, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/LegacyConditionalParameters.Expected.html">Expected</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p>
        conditional_operator: <p>This is a legacy parameter. Use <code>ConditionExpression</code> instead. For more information, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/LegacyConditionalParameters.ConditionalOperator.html">ConditionalOperator</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p>
        return_values: <p>Use <code>ReturnValues</code> if you want to get the item attributes as they appear before or after they are successfully updated. For <code>UpdateItem</code>, the valid values are:</p> <ul> <li> <p> <code>NONE</code> - If <code>ReturnValues</code> is not specified, or if its value is <code>NONE</code>, then nothing is returned. (This setting is the default for <code>ReturnValues</code>.)</p> </li> <li> <p> <code>ALL_OLD</code> - Returns all of the attributes of the item, as they appeared before the UpdateItem operation.</p> </li> <li> <p> <code>UPDATED_OLD</code> - Returns only the updated attributes, as they appeared before the UpdateItem operation.</p> </li> <li> <p> <code>ALL_NEW</code> - Returns all of the attributes of the item, as they appear after the UpdateItem operation.</p> </li> <li> <p> <code>UPDATED_NEW</code> - Returns only the updated attributes, as they appear after the UpdateItem operation.</p> </li> </ul> <p>There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No read capacity units are consumed.</p> <p>The values returned are strongly consistent.</p>
        return_item_collection_metrics: <p>Determines whether item collection metrics are returned. If set to <code>SIZE</code>, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to <code>NONE</code> (the default), no statistics are returned.</p>
        update_expression: <p>An expression that defines one or more attributes to be updated, the action to be performed on them, and new values for them.</p> <p>The following action values are available for <code>UpdateExpression</code>.</p> <ul> <li> <p> <code>SET</code> - Adds one or more attributes and values to an item. If any of these attributes already exist, they are replaced by the new values. You can also use <code>SET</code> to add or subtract from an attribute that is of type Number. For example: <code>SET myNum = myNum + :val</code> </p> <p> <code>SET</code> supports the following functions:</p> <ul> <li> <p> <code>if_not_exists (path, operand)</code> - if the item does not contain an attribute at the specified path, then <code>if_not_exists</code> evaluates to operand; otherwise, it evaluates to path. You can use this function to avoid overwriting an attribute that may already be present in the item.</p> </li> <li> <p> <code>list_append (operand, operand)</code> - evaluates to a list with a new element added to it. You can append the new element to the start or the end of the list by reversing the order of the operands.</p> </li> </ul> <p>These function names are case-sensitive.</p> </li> <li> <p> <code>REMOVE</code> - Removes one or more attributes from an item.</p> </li> <li> <p> <code>ADD</code> - Adds the specified value to the item, if the attribute does not already exist. If the attribute does exist, then the behavior of <code>ADD</code> depends on the data type of the attribute:</p> <ul> <li> <p>If the existing attribute is a number, and if <code>Value</code> is also a number, then <code>Value</code> is mathematically added to the existing attribute. If <code>Value</code> is a negative number, then it is subtracted from the existing attribute.</p> <note> <p>If you use <code>ADD</code> to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses <code>0</code> as the initial value.</p> <p>Similarly, if you use <code>ADD</code> for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses <code>0</code> as the initial value. For example, suppose that the item you want to update doesn't have an attribute named <code>itemcount</code>, but you decide to <code>ADD</code> the number <code>3</code> to this attribute anyway. DynamoDB will create the <code>itemcount</code> attribute, set its initial value to <code>0</code>, and finally add <code>3</code> to it. The result will be a new <code>itemcount</code> attribute in the item, with a value of <code>3</code>.</p> </note> </li> <li> <p>If the existing data type is a set and if <code>Value</code> is also a set, then <code>Value</code> is added to the existing set. For example, if the attribute value is the set <code>[1,2]</code>, and the <code>ADD</code> action specified <code>[3]</code>, then the final attribute value is <code>[1,2,3]</code>. An error occurs if an <code>ADD</code> action is specified for a set attribute and the attribute type specified does not match the existing set type. </p> <p>Both sets must have the same primitive data type. For example, if the existing data type is a set of strings, the <code>Value</code> must also be a set of strings.</p> </li> </ul> <important> <p>The <code>ADD</code> action only supports Number and set data types.</p> </important> </li> <li> <p> <code>DELETE</code> - Deletes an element from a set.</p> <p>If a set of values is specified, then those values are subtracted from the old set. For example, if the attribute value was the set <code>[a,b,c]</code> and the <code>DELETE</code> action specifies <code>[a,c]</code>, then the final attribute value is <code>[b]</code>. Specifying an empty set is an error.</p> <important> <p>The <code>DELETE</code> action only supports set data types.</p> </important> </li> </ul> <p>You can have many actions in a single expression, such as the following: <code>SET a=:value1, b=:value2 DELETE :value3, :value4, :value5</code> </p> <p>For more information on update expressions, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Expressions.Modifying.html">Modifying Items and Attributes</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p>
        condition_expression: <p>A condition that must be satisfied in order for a conditional update to succeed.</p> <p>An expression can contain any of the following:</p> <ul> <li> <p>Functions: <code>attribute_exists | attribute_not_exists | attribute_type | contains | begins_with | size</code> </p> <p>These function names are case-sensitive.</p> </li> <li> <p>Comparison operators: <code>= | <> | < | > | <= | >= | BETWEEN | IN </code> </p> </li> <li> <p> Logical operators: <code>AND | OR | NOT</code> </p> </li> </ul> <p>For more information about condition expressions, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Expressions.SpecifyingConditions.html">Specifying Conditions</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p>
        expression_attribute_names: <p>One or more substitution tokens for attribute names in an expression. The following are some use cases for using <code>ExpressionAttributeNames</code>:</p> <ul> <li> <p>To access an attribute whose name conflicts with a DynamoDB reserved word.</p> </li> <li> <p>To create a placeholder for repeating occurrences of an attribute name in an expression.</p> </li> <li> <p>To prevent special characters in an attribute name from being misinterpreted in an expression.</p> </li> </ul> <p>Use the <b>#</b> character in an expression to dereference an attribute name. For example, consider the following attribute name:</p> <ul> <li> <p> <code>Percentile</code> </p> </li> </ul> <p>The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ReservedWords.html">Reserved Words</a> in the <i>Amazon DynamoDB Developer Guide</i>.) To work around this, you could specify the following for <code>ExpressionAttributeNames</code>:</p> <ul> <li> <p> <code>{"#P":"Percentile"}</code> </p> </li> </ul> <p>You could then use this substitution in an expression, as in this example:</p> <ul> <li> <p> <code>#P = :val</code> </p> </li> </ul> <note> <p>Tokens that begin with the <b>:</b> character are <i>expression attribute values</i>, which are placeholders for the actual value at runtime.</p> </note> <p>For more information about expression attribute names, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Expressions.AccessingItemAttributes.html">Specifying Item Attributes</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p>
        expression_attribute_values: <p>One or more values that can be substituted in an expression.</p> <p>Use the <b>:</b> (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the <code>ProductStatus</code> attribute was one of the following: </p> <p> <code>Available | Backordered | Discontinued</code> </p> <p>You would first need to specify <code>ExpressionAttributeValues</code> as follows:</p> <p> <code>{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }</code> </p> <p>You could then use these values in an expression, such as this:</p> <p> <code>ProductStatus IN (:avail, :back, :disc)</code> </p> <p>For more information on expression attribute values, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Expressions.SpecifyingConditions.html">Condition Expressions</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p>
        return_values_on_condition_check_failure: <p>An optional parameter that returns the item attributes for an <code>UpdateItem</code> operation that failed a condition check.</p> <p>There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No read capacity units are consumed.</p>

    Raises:
        capo_dynamodb.errors.conditional_check_failed_exception.ConditionalCheckFailedException: <p>A condition specified in the operation failed to be evaluated.</p>
        capo_dynamodb.errors.internal_server_error.InternalServerError: <p>An error occurred on the server side.</p>
        capo_dynamodb.errors.invalid_endpoint_exception.InvalidEndpointException
        capo_dynamodb.errors.item_collection_size_limit_exceeded_exception.ItemCollectionSizeLimitExceededException: <p>An item collection is too large. This exception is only returned for tables that have one or more local secondary indexes.</p>
        capo_dynamodb.errors.provisioned_throughput_exceeded_exception.ProvisionedThroughputExceededException: <p>The request was denied due to request throttling. For detailed information about why the request was throttled and the ARN of the impacted resource, find the <a href="https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_ThrottlingReason.html">ThrottlingReason</a> field in the returned exception. The Amazon Web Services SDKs for DynamoDB automatically retry requests that receive this exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce the frequency of requests and use exponential backoff. For more information, go to <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.Errors.html#Programming.Errors.RetryAndBackoff">Error Retries and Exponential Backoff</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p>
        capo_dynamodb.errors.replicated_write_conflict_exception.ReplicatedWriteConflictException: <p>The request was rejected because one or more items in the request are being modified by a request in another Region. </p>
        capo_dynamodb.errors.request_limit_exceeded.RequestLimitExceeded: <p>Throughput exceeds the current throughput quota for your account. For detailed information about why the request was throttled and the ARN of the impacted resource, find the <a href="https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_ThrottlingReason.html">ThrottlingReason</a> field in the returned exception. Contact <a href="https://aws.amazon.com/support">Amazon Web Services Support</a> to request a quota increase.</p>
        capo_dynamodb.errors.resource_not_found_exception.ResourceNotFoundException: <p>The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be <code>ACTIVE</code>.</p>
        capo_dynamodb.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling. For detailed information about why the request was throttled and the ARN of the impacted resource, find the <a href="https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_ThrottlingReason.html">ThrottlingReason</a> field in the returned exception.</p>
        capo_dynamodb.errors.transaction_conflict_exception.TransactionConflictException: <p>Operation was rejected because there is an ongoing transaction for the item.</p>
        capo_dynamodb.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To update an item in a table
        This example updates an item in the Music table. It adds a new attribute (Year) and modifies the AlbumTitle attribute.  All of the attributes in the item, as they appear after the update, are returned in the response.

        >>> await client.update_item(table_name='Music', key={'Artist': {'S': 'Acme Band'}, 'SongTitle': {'S': 'Happy Day'}}, update_expression='SET #Y = :y, #AT = :t', expression_attribute_names={'#Y': 'Year', '#AT': 'AlbumTitle'}, expression_attribute_values={':y': {'N': '2015'}, ':t': {'S': 'Louder Than Ever'}}, return_values='ALL_NEW')
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_dynamodb.types.update_item_input.UpdateItemInput]",
    ) -> AsyncOperationResponse[
        "capo_dynamodb.types.update_item_output.UpdateItemOutput"
    ]:
        import capo_dynamodb._operations.dynamo_db_20120810.update_item

        (
            output,
            http_response,
        ) = await capo_dynamodb._operations.dynamo_db_20120810.update_item.async_update_item(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateItem")
    )
    input_: capo_dynamodb.types.update_item_input.UpdateItemInput = {
        "table_name": table_name,
        "key": key,
    }
    if attribute_updates is not None:
        input_["attribute_updates"] = attribute_updates
    if expected is not None:
        input_["expected"] = expected
    if conditional_operator is not None:
        input_["conditional_operator"] = conditional_operator
    if return_values is not None:
        input_["return_values"] = return_values
    if return_consumed_capacity is not None:
        input_["return_consumed_capacity"] = return_consumed_capacity
    if return_item_collection_metrics is not None:
        input_["return_item_collection_metrics"] = return_item_collection_metrics
    if update_expression is not None:
        input_["update_expression"] = update_expression
    if condition_expression is not None:
        input_["condition_expression"] = condition_expression
    if expression_attribute_names is not None:
        input_["expression_attribute_names"] = expression_attribute_names
    if expression_attribute_values is not None:
        input_["expression_attribute_values"] = expression_attribute_values
    if return_values_on_condition_check_failure is not None:
        input_["return_values_on_condition_check_failure"] = (
            return_values_on_condition_check_failure
        )

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output