{"id":31221058,"url":"https://github.com/dwickyfp/duckdb-iceberg-writer","last_synced_at":"2025-09-21T19:16:38.027Z","repository":{"id":315269427,"uuid":"1058814734","full_name":"dwickyfp/duckdb-iceberg-writer","owner":"dwickyfp","description":"A practical example of using DuckDB to write tables into Apache Iceberg format.   This repository demonstrates how to set up DuckDB with the Iceberg extension,   connect to S3-compatible storage (e.g., MinIO), and create/manage Iceberg tables.   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Launch the local Iceberg dependencies:\n   ```bash\n   docker compose up -d\n   ```\n2. Populate the Iceberg table by running the sample script:\n   ```bash\n   duckdb \u003c code.sql\n   ```\n3. Inspect the table contents or adjust the SQL in `code.sql` to experiment with different datasets.\n\nIf you prefer to run with MinIO as the object store, use `docker-compose-minio.yml` instead:\n```bash\ndocker compose -f docker-compose-minio.yml up -d\n```\n\n## Project Layout\n- `code.sql` – Example DuckDB statements that create and populate an Iceberg table.\n- `docker-compose.yml` – Default Docker stack for running Iceberg services locally.\n- `docker-compose-minio.yml` – Alternative stack that swaps in MinIO for object storage.\n- `duckdb-code/` – Workspace that stores the sample DuckDB database and metadata files.\n\n## Next Steps\n- Modify `code.sql` to write additional tables or experiment with Iceberg features such as partition evolution.\n- Point DuckDB at your own data files and run the same workflow to materialize Iceberg tables.\n\n## References\n- https://duckdb.org/docs/extensions/iceberg\n- https://iceberg.apache.org/docs/latest/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdwickyfp%2Fduckdb-iceberg-writer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdwickyfp%2Fduckdb-iceberg-writer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdwickyfp%2Fduckdb-iceberg-writer/lists"}