How to load data from Looker to Clickhouse
Learn how to use Airbyte to synchronize your Looker data into Clickhouse within minutes.
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How to Sync to Manually
Step 1: Export Data from Looker
Start by exporting the required data from Looker. You can do this by running the necessary Looker query and exporting the results in a CSV format. Looker allows you to export data directly from the explore page or dashboard by selecting the "Download" option and choosing CSV as the format.
Step 2: Prepare Local Environment for Data Transfer
On your local machine, ensure you have access to the CSV file exported from Looker. Verify that your system has the necessary tools to interact with ClickHouse, such as access to the ClickHouse client or other command-line tools.
Step 3: Install ClickHouse Client
If you haven't already, install the ClickHouse client on your local machine. You can download it from the official ClickHouse website or install it using package managers like `apt` for Ubuntu or `brew` for macOS. This will allow you to execute SQL commands and upload data to your ClickHouse server.
Step 4: Create Database and Table in ClickHouse
Connect to your ClickHouse server using the ClickHouse client. Create a database and a table structure that matches the schema of the data exported from Looker. Use the `CREATE DATABASE` and `CREATE TABLE` SQL commands to set up the necessary structures.
```sql
CREATE DATABASE my_database;
CREATE TABLE my_database.my_table (
column1 DataType1,
column2 DataType2,
...
) ENGINE = MergeTree
ORDER BY (column1);
```
Step 5: Prepare CSV File for Import
Ensure that the CSV file is formatted correctly for ClickHouse. This includes checking for any incompatible data types and ensuring that the delimiter used matches the ClickHouse requirements. If necessary, clean or transform the data using a script or a text editor to align with the ClickHouse table schema.
Step 6: Load Data into ClickHouse
Use the ClickHouse client to load the CSV data into the prepared table. You can execute the `INSERT` command to read from the CSV and insert data into ClickHouse. Assuming the CSV file is `data.csv`, the command will look like this:
```bash
clickhouse-client --query="INSERT INTO my_database.my_table FORMAT CSV" < data.csv
```
This command reads the CSV file and inserts the data directly into the specified table in ClickHouse.
Step 7: Verify and Validate Data in ClickHouse
Once the data is loaded, run queries in ClickHouse to verify the integrity and accuracy of the imported data. Perform count checks, data type checks, and sample data reviews to ensure everything has been transferred correctly. Use SQL commands like `SELECT COUNT()`, `SELECT LIMIT 10`, etc., to inspect the data.
By following these steps, you can successfully move data from Looker to ClickHouse without using third-party connectors or integrations.