Write documents to mongoDB.

The writer can be used to store documents in mongoDB while dealing with tensorflow based models and inference outputs. Without loss of generality, consider an ML model that is being used for inference. The outputs of inference can be modelled into a structured record by enriching the schema with additional information( for ex: metadata about input data and the semantics of the inference etc.) and can be stored in mongo collections for persistence or future analysis.

To make a connection and write the documents to the mongo collections, the tfio.experimental.mongodb.MongoDBWriter API can be used.


URI = "mongodb://mongoadmin:default_password@localhost:27017"
DATABASE = "tfiodb"
writer = tfio.experimental.mongodb.MongoDBWriter(
    uri=URI, database=DATABASE, collection=COLLECTION
for i in range(1000):
   data = {"key{}".format(i): "value{}".format(i)}

uri The uri of the mongo server or replicaset to connect to.

  • To connect to a MongoDB server with username and password based authentication, the following uri pattern can be used. Example: "mongodb://mongoadmin:default_password@localhost:27017".

  • Connecting to a replica set is much like connecting to a standalone MongoDB server. Simply specify the replica set name using the ?replicaSet=myreplset URI option. Example: "mongodb://host01:27017,host02:27017,host03:27017/?replicaSet=myreplset"

Additional information on writing uri's can be found here:

database The database in the standalone standalone MongoDB server or a replica set to connect to.
collection The collection from which the documents have to be retrieved.



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Insert a single json document