dorestore
unknown
python
2 years ago
1.8 kB
13
Indexable
import json
import pymongo
import mysql.connector
# MongoDB connection settings
mongodb_host = 'localhost'
mongodb_port = 27017
mongodb_database = 'your_db_name'
mongodb_collection = 'your_collection_name'
# MySQL connection settings
mysql_host = 'localhost'
mysql_user = 'your_mysql_username'
mysql_password = 'your_mysql_password'
mysql_database = 'your_mysql_database'
# Connect to MongoDB
mongodb_client = pymongo.MongoClient(mongodb_host, mongodb_port)
mongodb_db = mongodb_client[mongodb_database]
mongodb_collection = mongodb_db[mongodb_collection]
# Connect to MySQL
mysql_connection = mysql.connector.connect(
host=mysql_host,
user=mysql_user,
password=mysql_password,
database=mysql_database
)
mysql_cursor = mysql_connection.cursor()
# Fetch data from MongoDB collection
mongodb_data = mongodb_collection.find()
# Transform and insert data into MySQL
for document in mongodb_data:
# Transform the document to MySQL-compatible format
transformed_data = {
'id': document['_id'], # Assuming MongoDB _id field maps to 'id' in MySQL
'name': document['name'], # Assuming 'name' field exists in MongoDB
'age': document['age'], # Assuming 'age' field exists in MongoDB
# Add more fields as needed and transform the data accordingly
}
# Insert the transformed data into MySQL
mysql_insert_query = "INSERT INTO your_mysql_table (id, name, age) VALUES (%s, %s, %s)"
mysql_insert_values = (transformed_data['id'], transformed_data['name'], transformed_data['age'])
mysql_cursor.execute(mysql_insert_query, mysql_insert_values)
# Commit the changes to MySQL
mysql_connection.commit()
# Close the connections
mongodb_client.close()
mysql_cursor.close()
mysql_connection.close()
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