@Rocky how can I connect confluence to starrocks

Connecting Confluence to StarRocks is typically done for analytical purposes—such as analyzing documentation trends, user activity, or content metadata. Since StarRocks is an OLAP database and Confluence is a transactional content platform, you need an ETL/ELT process to bridge them. Here are the most effective ways to connect the two: 1. Using Airbyte (Recommended) Airbyte is a popular open-source data integration platform that has verified connectors for both systems. This is the most "out-of-the-box" solution. * Source: Use the Confluence Source Connector (supports Cloud and sometimes On-prem via API). * Destination: Use the StarRocks Destination Connector. * How it works: You provide your Confluence API token and domain in Airbyte, then point it to your StarRocks FE (Frontend) host. Airbyte will automatically handle the schema mapping and incremental syncs. 2. Custom Script (API + Stream Load) If you want to avoid third-party tools, you can write a simple Python script to fetch data from the Confluence REST API and push it to StarRocks. * Extract: Use the Confluence REST API v2 to get pages, blog posts, or space metadata in JSON format. * Load: Use the StarRocks Stream Load (HTTP PUT) to ingest the JSON data directly.

bash
    curl --location-trusted -u <user>:<password> \
        -H "format:json" -H "strip_outer_array:true" \
        -T confluence_data.json \
        http://<starrocks_fe_ip>:<http_port>/api/<db>/<table>/_stream_load

3. Intermediate Cloud Storage (S3/GCS +

FILES()

) For high-volume data, you can dump Confluence exports into a cloud bucket and query them directly in StarRocks. * Process: Export Confluence data as CSV or JSON to an S3/GCS bucket. * Ingest: Use the StarRocks

FILES()

table function to load or query the data directly without a pre-defined schema:

sql
    INSERT INTO your_table
    SELECT * FROM FILES(
        "path" = "<s3://your-bucket/confluence/*.json>",
        "format" = "json",
        "aws.s3.access_key" = "...",
        "aws.s3.secret_key" = "..."
    );

4. Other ETL/ELT Tools * Fivetran: While StarRocks isn't always listed as a primary destination, you can often use the MySQL Destination in Fivetran (pointing to StarRocks' MySQL-compatible port 9030) to sync data, though performance may be lower than a native connector. * Kettle (Pentaho): Use the StarRocks Kettle connector to build a visual ETL workflow that pulls from the Confluence API. Which one should you choose? * For quick setup: Use Airbyte. It handles the complex API pagination and schema changes for you. * For maximum control: Use a Python script + Stream Load. * For massive history imports: Use the Cloud Storage +

FILES()

method. ()`** method. References • introduction/what_is_starrocks.md • loading/Kafka-connector-starrocks.md • data_source/External_table.md