If you're just importing from a dump file from the CLI on *nix, e.g. That's why it appears to be hanging while import is progressing in the background.įollowing details were copied from this how-can-i-monitor-the-progress-of-an-import-of-a-large-sql-file accepted answer Once you have verified that the import process works correctly, click on "Start Import" to import the CSV file into MySQL Workbench.I assume the actual problem is you don't know the progress percentage of import process. This includes selecting the correct delimiter and setting the character set.Ĭlick on "Test Import" to ensure that the import process works correctly. In the Excel Import Settings window, select the appropriate settings for your CSV file. Under "Advanced Options", select "Use Excel Importer" and click on "Configure Import Settings". Under "Import Options", select "Import to Table" and choose the table you want to import the data into. In the Data Import/Restore window, select the option "Import from Self-Contained File" and browse to the CSV file you exported earlier. In the top menu, click on Server > Data Import. Open MySQL Workbench and connect to your database. This tool allows you to import CSV files directly into MySQL Workbench. ![]() Next, you need to install a third-party tool called "MySQL for Excel". You can do this by clicking on File > Save As and selecting CSV as the file format. `mytable ` ( `id ` INT NOT NULL AUTO_INCREMENT, `name ` VARCHAR ( 45 ) NOT NULL, `age ` INT NOT NULL, PRIMARY KEY ( `id ` ) ) Method 3: Importing using Third-Party Toolsįirst, you need to export your Excel file into a CSV file format. Example code for importing Excel file into MySQL Workbench using the Table Data Import Wizard - Step 1: Create a new schema in MySQL Workbench CREATE SCHEMA `mydatabase ` - Step 2: Open the Table Data Import Wizard and select "Import from Self-Contained File" - Step 3: Select the Excel file you want to import and choose the schema you just created - Step 4: Select "Import to New Table" and enter the name of the new table you want to create - Step 5: Map the columns in your Excel file to the columns in your new table - Step 6: Review your import settings and click "Start Import" to begin importing the data - Example SQL code for creating a new table in MySQL Workbench CREATE TABLE `mydatabase `. If everything looks good, click "Start Import" to begin importing the data. Click "Next" and review the summary of your import settings.You can also set the data type and length for each column. In the "Columns" section, you can map the columns in your Excel file to the columns in your new table.Enter the name of the new table you want to create and select the appropriate options for "Character Set" and "Collation".In the "Table Options" section, select the "Import to New Table" option.In the "Default Schema to be Imported To" section, select the schema you want to import the data to.Click "Browse" and select the Excel file you want to import.In the "Data Import/Restore" window, select "Import from Self-Contained File" and then click "Next".Click on the "Server" menu and select "Data Import".Open MySQL Workbench and connect to your MySQL Server. ![]() Method 2: Importing using the Table Data Import Wizard That's it! You have successfully imported an Excel file into MySQL Workbench using the SQL Editor. Execute the command and check the table to confirm that the data has been imported successfully. ![]() The IGNORE 1 ROWS option specifies that the first row of the CSV file should be ignored since it contains the column names. The LINES TERMINATED BY '\r\n' option specifies that each row in the CSV file is terminated by a carriage return and a line feed. The ENCLOSED BY '"' option specifies that fields that contain commas are enclosed in double quotes. The FIELDS TERMINATED BY ',' option specifies that the fields in the CSV file are separated by commas. Replace file_path with the path to your CSV file, and table_name with the name of the table you created in step 3. LOAD DATA INFILE 'file_path' INTO TABLE table_nameįIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\r\n' IGNORE 1 ROWS
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