How to load data from Looker to MySQL Destination

Learn how to use Airbyte to synchronize your Looker data into MySQL Destination within minutes.

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Set up a Looker connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up MySQL Destination for your extracted Looker data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Looker to MySQL Destination in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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How to Sync to Manually

Step 1: Identify the Data to Export from Looker

First, determine which Looker reports or dashboards contain the data you need to move to MySQL. Ensure that you have the necessary permissions to access and export this data. Also, define the specific fields and filters to apply to get the exact dataset you require.

In Looker, navigate to the report or dashboard containing the data you want to export. Use the "Download" option to export the data in CSV format. This is typically done by clicking the gear icon or ellipsis (three dots) near the top-right of the report and selecting "Download" > "As CSV". Save the CSV file to your local machine.

Before importing data, ensure that your MySQL database is ready to receive it. This involves creating a table in your MySQL database with columns matching those in the CSV file. Use a MySQL client or command-line interface to create the table with appropriate data types for each column.

Open the exported CSV file in a spreadsheet application like Excel or a text editor to clean and format the data. Ensure there are no missing headers, and the data types align with your MySQL table structure. Save any changes to the CSV file.

Use the MySQL `LOAD DATA INFILE` command to import the CSV data into MySQL. First, move the CSV file to the server where your MySQL instance is running, if necessary. Then execute a command like this:
```sql
LOAD DATA INFILE '/path/to/your/file.csv'
INTO TABLE your_table_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
```
This command assumes the CSV file is stored on the server in a location accessible by MySQL and that the first row of the CSV contains headers.

After importing, verify the data integrity by running SELECT queries on the MySQL table. Check for any discrepancies, such as missing rows or incorrect data types, and make necessary corrections by re-importing data or adjusting the table structure.

If you anticipate moving data from Looker to MySQL regularly, consider automating the process. This can be done by scripting the export and import steps using tools like Python or shell scripts, which can run at scheduled intervals. However, this requires additional setup and testing to ensure reliability.
By following these steps, you'll be able to manually transfer data from Looker to a MySQL database without the use of third-party connectors or integrations.