anchor.diff:  |[[mongodb-property-topic-delimiter]]<<mongodb-property-topic-delimiter, `topic.delimiter`>>
   |`.`
   |Specify the delimiter for topic name, defaults to `.`.
  -
  -|[[mongodb-property-topic-prefix]]<<mongodb-property-topic-prefix, `topic.prefix`>>
  -|`${mongodb.name}`
  -|The name of the prefix to be used for all topics, defaults to xref:mongodb-property-mongodb-name[`${mongodb.name}`].
  -[NOTE]
  -====
  -Once specify the prefix value to this property, the xref:mongodb-property-mongodb-name[`${mongodb.name}`] will not play the prefix role of all topics.
  -====
   
   |[[mongodb-property-topic-cache-size]]<<mongodb-property-topic-cache-size, `topic.cache.size`>>
   |`10000`
  
positive.code: ----
  
  Unless overridden via the xref:{link-mongodb-connector}#mongodb-property-topic-transaction[`topic.transaction`] option,
  transaction events are written to the topic named xref:mongodb-property-mongodb-name[`_<mongodb.name>_`]`.transaction`.
  
  .Change data event enrichment
  When transaction metadata is enabled, the data message `Envelope` is enriched with a new `transaction` field.
  
negative.code: === Topic names
  
  The MongoDB connector writes events for all insert, update, and delete operations to documents in each collection to a single Kafka topic.
  The name of the Kafka topics always takes the form _logicalName_._databaseName_._collectionName_, where _logicalName_ is the xref:{link-mongodb-connector}#mongodb-logical-connector-name[logical name] of the connector as specified with the `topic.prefix` configuration property, _databaseName_ is the name of the database where the operation occurred, and _collectionName_ is the name of the MongoDB collection in which the affected document existed.
  
  For example, consider a MongoDB replica set with an `inventory` database that contains four collections: `products`, `products_on_hand`, `customers`, and `orders`.
  If the connector monitoring this database were given a logical name of `fulfillment`, then the connector would produce events on these four Kafka topics:
  