Snowflake json query7/13/2023 # Execute multiple queries using the same cursorĬursor.execute("CREATE TABLE my_table (id INT, name VARCHAR(50))")Ĭursor.execute("INSERT INTO my_table (id, name) VALUES (1, 'John')")Ĭursor.execute("INSERT INTO my_table (id, name) VALUES (2, 'Jane')") We then retrieve the JSON data from the table using a SELECT query, and parse it back into a JSON object using the json.loads() method.įinally, we close the cursor and connection, and print the retrieved JSON data. We insert a JSON object into the table using an INSERT INTO query, after converting it to a JSON string using the json.dumps() method. We then create a table with a JSON column using a CREATE TABLE query. Select_query = "SELECT json_data FROM my_table WHERE id = ?" Insert_query = "INSERT INTO my_table (id, json_data) VALUES (?, ?)"Ĭursor.execute(insert_query, (1, json.dumps(json_data))) Here’s an example of how to insert and retrieve JSON data using the connector: The Snowflake Python connector allows you to work with JSON data in Snowflake tables. Note that the fetch_pandas_all() method can be memory-intensive for large result sets, as it fetches the entire result set into memory. We then execute a query using a cursor object and fetch the entire result set into a Pandas DataFrame using the fetch_pandas_all() method of the cursor.Īfter fetching the data, we close the cursor and connection, and then print the first few rows of the DataFrame using the head() method. In this example, we first connect to the Snowflake account using the () method. # Fetch the entire result set into a Pandas DataFrame The executemany() method takes the insert statement as the first parameter and a list of tuples as the second parameter, where each tuple contains the parameter values for one insert operation.Īfter executing the insert statement for each set of parameters, we commit the changes and close the cursor and connection. We then use the cursor.executemany() method to execute the insert statement for each set of parameters in the data list. We then prepare an insert statement with placeholders for the parameters. In this example, we first define the data we want to insert as a list of tuples. # Execute the insert statement for each set of parameters Insert_stmt = 'INSERT INTO my_table (id, name) VALUES (?, ?)' The following code demonstrates how to execute a simple SELECT statement to retrieve data from a Snowflake table: Once you have established a connection to Snowflake, you can execute SQL queries using the execute() method of the conn object. ) Executing SQL Queries using Snowflake Python Connector The following code demonstrates how to connect: import nnector To connect to Snowflake, you need to provide your Snowflake account information, including the account name, username, password, and the database and schema that you want to connect to. Pip install snowflake-connector-python Connecting to Snowflake using the Python Connector You can install the library using pip by running the following command: The Snowflake library installed on your system.Prerequisites for Snowflake Python Connectorīefore getting started, you need to have the following prerequisites: Executing SQL Queries using Snowflake Python Connector.Connecting to Snowflake using the Python Connector.Prerequisites for Snowflake Python Connector.
0 Comments
Leave a Reply. |