How to store yaml file in mongodb?
How to store yaml file in mongodb?
1 answer
@gilbert
To store a YAML file in MongoDB, you can first convert the YAML file to a JSON file and then use the insertOne() or insertMany() method of the MongoDB driver to insert the JSON document into a collection.
Here's an example of how you can do this using the pyyaml and pymongo libraries:
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import yaml import pymongo # Connect to the MongoDB server client = pymongo.MongoClient("mongodb://localhost:27017/") # Select the database and collection db = client["mydatabase"] collection = db["mycollection"] # Read the YAML file and convert it to a JSON document with open("data.yaml", "r") as yaml_file: data = yaml.safe_load(yaml_file) # Insert the JSON document into the collection collection.insert_one(data) |
This will insert the data from the YAML file into a new document in the mycollection collection of the mydatabase database.
You can also use the update_one() or update_many() method to update an existing document in the collection, or the replace_one() method to replace an existing document with a new one.
It's also worth noting that MongoDB supports storing data in a variety of formats, including YAML. You can use the bson.json_util.loads() method to parse a YAML string and insert it directly into a collection as a BSON document, without the need to convert it to JSON first. Here's an example of how you can do this:
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import yaml import pymongo from bson.json_util import loads # Connect to the MongoDB server client = pymongo.MongoClient("mongodb://localhost:27017/") # Select the database and collection db = client["mydatabase"] collection = db["mycollection"] # Read the YAML file and parse it as a BSON document with open("data.yaml", "r") as yaml_file: data = yaml.safe_load(yaml_file) bson_data = loads(data) # Insert the BSON document into the collection collection.insert_one(bson_data) |
I hope this helps! Let me know if you have any questions.