![]() Your dump file will be in the directory, the path to which you have specified. The export process can take several minutes, depending on the size of exported data. Specify the path to the directory, in which you want to export the dump.Ģ. Open the server instance you have created earlier in your desktop client and pick Data Export and select database objects to export. ![]() Select test, click on example and you’ll see your imported dump.ġ. Using the credentials, which the platform sent you, sign in into admin page. Go back to the platform dashboard and open MySQL ( MariaDB) in a browser. After downloading, unzip the file and extract the realparssampledatabasev2.sql file. You can download this sample database file here. I will open the script called realparssampledatabasev2.sql. The import process can take several minutes.ĩ. Importing a sample database Start by selecting the File menu button and scroll down to Open SQL Script. ![]() Open your instance and pick Data Import/Restore and choose the dump you want to import. You can see that your server instance is successfully created.Ĩ. Enter the name for your server instance.ħ. Set the type of remote management you want to use.Ħ. Then your database connection will be tested for a couple of minutes.ĥ. Set the database connection values: IP address, port number, username and password (when you created the environment, the platform sent you an email with credentials to the database).Ĥ. Specify your host machine (just paste your public IP into the address field) and click Next.ģ. Create a new server instance using any desktop client for MySQL/MariaDB (we use MySQL Workbench as an example).Ģ. Sql = "INSERT INTO employee.Import and Export Dump Files to MySQL/MariaDB Dump Import to MySQLġ. # in the below line please pass the create table statement which you want #to createĬursor.execute("CREATE TABLE employee_data(first_name varchar(255),last_name varchar(255),company_name varchar(255),address varchar(255),city varchar(255),county varchar(255),state varchar(255),zip int,phone1 varchar(255),phone2 varchar(255),email varchar(255),web varchar(255))") Print("You're connected to database: ", record)Ĭursor.execute('DROP TABLE IF EXISTS employee_data ') Easily export/import data by selecting the database schemas and/or tables from the Object Browser. ![]() We will create an employee_data table under the employee database and insert the records in MySQL with below python code.īuild Professional SQL Projects for Data Analysis with ProjectProĬonn = nnect(host='localhost', database='employee', user='root', conn.is_connected(): MySQL Workbench includes visual tools for mysqldump. Step 4: Create a table and Import the CSV data into the MySQL table Output of the above code: After running the above the code will create an employee database in mysql as shown in below. Note :if you don't connect then, please install the mysql-connector-python package, type the following command: pip install mysql-connector-python Print("Error while connecting to MySQL", e) Step 3 : Connect to the MySQL using Python and create a DatabaseĬreate a connection object to connect to MySQL, The connect() constructor creates a connection to the MySQL and returns a MySQLConnection object.Ĭonn = nnect(host='localhost', ur username, passwordĬursor.execute("CREATE DATABASE employee") You'll need to change the path name to reflect the location where the CSV file is stored on your computerĮmpdata = pd.read_csv('C:\\Users\\XXXXX\\empdata.csv', index_col=False, delimiter = ',') Here is the code that I used to import the CSV file, and then create the DataFrame. Next, import the CSV file into Python using the pandas library. Note: the above employee csv data is taken from the below link employee_data Step 2: Import the CSV File into the DataFrame. For example, I prepared a simple CSV file with the following data: In this case, because my script will create the database, I can leave Default Target Schema blank. To begin, prepare the CSV file that you'd like to import to MySQL. Select Import from SelfContained File and navigate to (or enter) the file to import.
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