How to load data from ClickHouse to Clickhouse

Learn how to use Airbyte to synchronize your ClickHouse data into Clickhouse within minutes.

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Bespoke pipelines are:
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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a ClickHouse connector in Airbyte

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

Set up Clickhouse for your extracted ClickHouse 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 ClickHouse to Clickhouse 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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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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How to Sync to Manually

Step 1: Prepare Source and Destination Environments

Ensure both the source and destination ClickHouse instances are set up and accessible. Verify that you have the necessary permissions to read data from the source and write to the destination. Make sure both ClickHouse servers are running compatible versions to prevent any compatibility issues.

Step 2: Identify Data to Transfer

Determine which tables and databases need to be transferred. Document the schema and any dependencies, such as views or materialized views. This step is crucial for ensuring that all necessary data is moved and that the schema will be correctly recreated on the destination.

Step 3: Export Data from Source

Use ClickHouse's native `CLICKHOUSE` command-line client to export data. You can use the `SELECT ... INTO OUTFILE` syntax to export data from the source database into a CSV or TSV file. For example:
```bash
clickhouse-client --host= --query="SELECT * FROM .

" --format=TSV > /path/to/exported_data.tsv
```
Ensure the exported file is stored in a location accessible for transfer.

Step 4: Transfer Exported Files

Use secure file transfer methods such as `scp` or `rsync` to transfer the exported data files from the source server to the destination server. Ensure file permissions are set correctly to allow reading by the ClickHouse process on the destination server.
```bash
scp /path/to/exported_data.tsv user@destination_host:/path/to/destination/
```

Step 5: Recreate Schema on Destination

Before importing data, recreate the database schema on the destination ClickHouse instance. Use the `SHOW CREATE TABLE` command on the source to get the schema definition and execute it on the destination. This ensures that tables are created with the correct structure.
```bash
clickhouse-client --host= --query="SHOW CREATE TABLE .

"
# Execute the output on the destination server.
```

Step 6: Import Data into Destination

Use the `clickhouse-client` to import the exported data into the corresponding tables on the destination server using the `INSERT INTO ... FORMAT` syntax. For example:
```bash
clickhouse-client --host= --query="INSERT INTO .

FORMAT TSV" < /path/to/destination/exported_data.tsv
```
Ensure the data formats match and that any necessary transformations are applied during the import.

Step 7: Verify Data Integrity

After the data has been imported, perform integrity checks to ensure that the data was transferred correctly. Compare row counts and checksums between the source and destination to verify consistency. Use queries like:
```bash
clickhouse-client --host= --query="SELECT count(*) FROM .

"
clickhouse-client --host= --query="SELECT count(*) FROM ."
```
This step ensures the data transfer was successful and complete.
By following these steps, you can effectively transfer data between ClickHouse instances without relying on third-party connectors or integrations.