MySQL Workbench Tutorial: MySQL Workbench & its Functionalities. MySQL Workbench is a designing or a graphical tool, which is used for working with MySQL servers and databases. This tool compatible with the older server 5.x versions and does not support the 4.x server versions. The functionalities of MySQL Workbench are as follows.
- There are various ways by which you can export MySQL data, i.e., by using in-house MySQL Workbench feature – Export, or programmatically (Python, Java, etc.) or by some other ways. Here we will talk about the most popular and easy way to extract the data from MySQL: Data Export MySQL Workbench Feature; Using MySQL Commands; Using Hevo Data.
- Create Database We’ll see how to create a database using MySQL Workbench. We need to specify the database we have created because MySQL Workbench doesn’t automatically select our newly created database. Syntax: create database use.
- We suggest that you use the MD5 checksums and GnuPG signatures to verify the integrity of the packages you download.
Often, there is a need to migrate data from MySQL to external sources, which may be to a file (CSV, Excel), another database, a cloud platform or some other external tool. The movement of data is required when you want to perform analytics on the data (which may not be possible in MySQL itself) or to move the data into a modern ecosystem for better compatibility. In this article, we will look at the different ways to export data from MySQL. The primary focus of this article is the data export MySQL Workbench feature. By the end of this article, you will have gained complete knowledge about these methods and their implementation.
Before starting on how to export data, we will first understand MySQL and its features in brief.
This article will cover the following aspects:
Introduction to MySQL
MySQL is an accessible and popular open-source relational database. It is widely used by many small and big industries when there is a need to store structured data and perform quick analytics to understand the behaviour of the data.
Features of MySQL
Some of the most important features of MySQL are as follows:
- Free and easy to use.
- MySQL uses the standard form known as ANSI SQL with a universe of Data Analytical functions.
- With the help of available drivers, it can easily integrate with many programming languages and modern tools.
- Easy integration with operating systems.
- MySQL provides support for large databases, up to 50 million rows or more in a table.
- The default file size limit for a table is 4GB, but this can be increased to a limit of 8 million terabytes (TB) (provided the operating system supports it).
- A MySQL server running on-premise or on the cloud
- MySQL Workbench
Note: This article uses MySQL version 8.0.20 to demonstrate the methods to export data.
Methods to Export Data
There are various ways by which you can export MySQL data, i.e., by using in-house MySQL Workbench feature – Export, or programmatically (Python, Java, etc.) or by some other ways. Here we will talk about the most popular and easy way to extract the data from MySQL:
Before we start discussing the different ways to export data, let’s first consider the following points:
- The schema we have defined is test.
- The table name is orders.
- The orders contain the following attributes:
- order_id – Id of the order placed.
- order_date – Date of the order placed.
- custormer_id – Id of the customer who has placed the order.
- order_status – Status of the order (CLOSED, PENDING_PAYMENT, COMPLETE, PROCESSING, PAYMENT_REVIEW, PENDING, ON_HOLD, CANCELED, SUSPECTED_FRAUD).
- The MySQL server’s process should have write access to the target folder containing the target CSV file.
- The target CSV file must not exist.
1. Data Export MySQL Workbench Feature
The MySQL workbench provides an inbuilt option to export the data into CSV format.
You can download MySQL Workbench here.
- First, prepare the query and execute it to get the desired result set.
- From the result panel, click on the “Export” option.
- On the save dialog box, enter the file name, choose CSV as the file format, and click the “Save” button.
2. Using MySQL Commands
The simple way to export data from MySQL is to use the inbuilt feature of extracting the data by using the SQL approach. This command exports the data into CSV format with the specified delimiter and escape characters.
CSV files are the best when we talk about data analytics because of its structured format and ease of integration with the existing available tools.
- First, we have to prepare the query which contains the desired data to be exported. Here, we are exporting the data where order_status is COMPLETED.
- Mention the optional parameters like field delimiter, field enclosing option and execute the query using execute option in the Workbench.
- On successful completion of the query, the CSV will be exported to the mentioned location.
Below are the schematics for MySQL command :
Below is the command for your reference :
3. Using Hevo Data
Hevo Data is a new and modern way to export the MySQL database to another platform or data warehouse. However, before heading to the steps of exporting MySQL database using Hevo Data, let’s take a quick look at what it does.
Hevo Data, a No-code Data Pipeline, is a fully-managed data integration solution that lets you migrate data from multiple sources like databases and cloud applications to your data warehouse. It has various beneficial features that make it one of the best ways to export the MySQL database to any other platform.
Important Features of Hevo Data
Hevo Data, a No-code Data Pipeline, provides you with a platform to export data from your MySQL database to any data warehouse. It helps you move and transform data in real-time and provides state-of-the-art infrastructure. Some of the salient features of Hevo include:
- Easy setup and Intuitive User Interface: It has a minimal learning curve, and the user can set it up in a few minutes.
- Fully Managed: You do not require either coding or pipeline maintenance.
- Data Transformation: It provides a simple interface to perfect, modify, and enrich the data you want to export.
- Automatic Schema Mapping: Hevo Data has metadata mapping, which maps the schema from the source automatically.
- Real-time Data Transfer: Hevo Data works on batch as well as real-time data. It can also resume the pipeline in case of failures.
- Out-of-the-box Integrations: Hevo can provide connectivity to numerous cloud-based and on-site assets. Check out the complete list here.
Try Hevo for free by signing up for a 14-day free trial.
Steps to Export MySQL Database Using Hevo Data
- Connect to the MySQL database using the Hevo platform and configure it as a source by providing the URL, username, password, and other credential parameters.
- Configure your data warehouse (such as Redshift, Snowflake, etc.) as a destination and start moving data instantly.
There are a variety of options in the market to migrate or export data from MySQL server to the required destination. However, here in this article, we tried to suggest some in-house options provided by MySQL and also the use of Hevo Data which is a leading data ETL tool. It connects with your data source within minutes and performs ETL in a much faster way compared to other ETL tools in the market.
When it comes to fully managed ETL, you can’t find a better alternative than Hevo. It is a No-code Data Pipeline that will help you move data from multiple data sources to your destination. It is extremely easy to set up as you can get the tool up and running in just a couple of minutes.
Mysql Workbench Download
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Mysql Workbench Create Database
Have you used MySQL Workbench? Let us know in the comments section below.