How to load data from Dremio to Clickhouse
Learn how to use Airbyte to synchronize your Dremio data into Clickhouse within minutes.
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How to Sync to Manually
Step 1: Export Data from Dremio
Begin by exporting your desired dataset from Dremio. You can achieve this by using the Dremio UI to run your desired SQL query, then export the results to a CSV file. Navigate to the dataset you want to export, run the query, and use the export function to save the results as a CSV on your local machine.
Step 2: Prepare the Data for Import
Once exported, ensure that your CSV file is properly formatted for ClickHouse. Check for any discrepancies such as incorrect delimiters, missing values, or special characters. It's crucial that the CSV adheres to the structure expected by ClickHouse to avoid import errors.
Step 3: Install ClickHouse Client
If not already installed, download and install the ClickHouse client on your local machine or server where you plan to perform the import. This will be used to execute queries and import data into your ClickHouse database.
Step 4: Create a Target Table in ClickHouse
Connect to your ClickHouse instance using the client and create a new table that matches the structure of your exported data. Use the appropriate data types and ensure the table's schema is aligned with the data contained in your CSV file. Example SQL command:
```sql
CREATE TABLE my_table (
column1 DataType,
column2 DataType,
...
) ENGINE = MergeTree() ORDER BY (column1);
```
Step 5: Transfer CSV to ClickHouse Server
If your ClickHouse instance is running on a different server, transfer the CSV file to the server using secure copy (scp) or any other secure file transfer method. This ensures that the data file is accessible for import directly on the server.
Step 6: Import Data into ClickHouse
Use the ClickHouse client to import the CSV data into your newly created table. Execute a command like the following from the ClickHouse server or client shell:
```sql
clickhouse-client --query="INSERT INTO my_table FORMAT CSV" < /path/to/yourfile.csv
```
This command reads the CSV file and inserts its content into the specified ClickHouse table.
Step 7: Validate the Data Import
After the import is complete, run a series of SELECT queries on your ClickHouse table to ensure the data was accurately transferred. Check for any anomalies or missing records by comparing the ClickHouse data against the original dataset exported from Dremio. Make sure to verify row counts, data integrity, and field contents to confirm a successful migration.
By following these steps, you can efficiently move data from Dremio to ClickHouse without relying on third-party connectors or integrations, ensuring a smooth transition of your datasets.