open-table-migrator

To migrate Parquet tables to Iceberg in a Python project, you can automate code analysis, table mapping, and dependency updates. This detects Parquet read/write operations and generates a detailed migration worklist and operational runbook for execution.

Yes, you can automatically migrate ORC files to Apache Iceberg in Java or Scala projects. The process identifies ORC operations in your code, resolves them to corresponding Iceberg target tables, and updates project dependencies to support Iceberg.

Converting Parquet or ORC tables to Iceberg requires pyiceberg and pyarrow to handle table formats, along with tree-sitter and sqlglot to perform code analysis and SQL parsing for resolving table operations during the migration.

Mapping code operations to Iceberg target tables involves analyzing your source code to identify existing Parquet or ORC read and write operations. It then resolves each operation to its corresponding Iceberg target table to generate a comprehensive migration worklist.

Yes, migrating to Apache Iceberg updates project dependencies automatically to support Iceberg. Alongside dependency updates, the migration process generates a detailed worklist for manual review and an operational runbook for post-migration cutover steps.