Prev Next

BigData / Apache Iceberg Interview questions

How do you migrate an existing Hive table to Iceberg?

Iceberg provides migration procedures specifically for converting an existing Hive (or other legacy) table into an Iceberg table, generally offering two approaches: an in-place migration that reuses existing data files without rewriting them, and a full snapshot/copy migration that creates an entirely separate new Iceberg table from the source data.

CALL catalog.system.migrate('db.legacy_hive_table');

-- Or, to create a new Iceberg table without altering the original:
CALL catalog.system.snapshot('db.legacy_hive_table', 'db.new_iceberg_table');

The migrate procedure converts a table in place: it registers the existing underlying data files (typically Parquet or ORC) directly into a newly created Iceberg metadata layer, without physically rewriting that data, which makes the migration itself comparatively fast since it's primarily a metadata-generation operation rather than a full data copy.

The snapshot procedure instead creates a brand-new, separate Iceberg table pointing at the same underlying data files, leaving the original Hive table completely untouched and usable in parallel — a safer, more conservative option for validating that queries against the new Iceberg table behave correctly before committing to fully cutting over and retiring the original table.

What does the migrate procedure do to existing data files?
What is a benefit of using the snapshot procedure instead of migrate?

More Related questions...

What is Apache Iceberg? What is the purpose of Apache Iceberg? What is a table format, and how does it differ from a file format? What are the key features of Apache Iceberg? What is the architecture of an Iceberg table? What is a snapshot in Apache Iceberg? What is a manifest file? What is a manifest list? What is the table metadata file? What is an Iceberg catalog? What is hidden partitioning? What are partition transforms in Iceberg? What is schema evolution in Iceberg? What is time travel in Apache Iceberg? Which query engines support Apache Iceberg? What file formats does Iceberg use to store data? How do you create an Iceberg table? What is the difference between Iceberg and a Hive table? What are field IDs in Iceberg, and why do they matter? What is ACID compliance in the context of Apache Iceberg? What is the difference between Apache Iceberg and Delta Lake? What is the difference between Apache Iceberg and Apache Hudi? Explain how hidden partitioning differs from Hive-style partitioning? What is a lakehouse, and how does Iceberg enable it? What is partition evolution, and how does it work internally? What is the difference between copy-on-write and merge-on-read in Iceberg? What are positional deletes versus equality deletes? Explain the internal working of Iceberg's snapshot isolation mechanism? What is the REST catalog, and why has it become important? What is the difference between a Hive catalog and a REST catalog? Explain the execution flow of a query against an Iceberg table? How does Iceberg achieve schema evolution without rewriting data? Explain the internal working of manifest-level partition pruning? What is compaction in Iceberg, and why is it needed? How do you perform time travel queries in Iceberg? What is the difference between a snapshot rollback and time travel? Explain how Iceberg handles concurrent writes? What is the role of sequence numbers in Iceberg snapshots? Explain the lifecycle of a write operation (commit) in Apache Iceberg? What are branches and tags in Apache Iceberg? How does Iceberg support upserts via MERGE INTO? What is the small file problem, and how does Iceberg address it? Explain the internal working of column-level statistics in manifest files? What is the difference between Iceberg V1, V2, and V3 table specs? How do you migrate an existing Hive table to Iceberg? What are deletion vectors, and how do they improve on positional delete files? Explain how Iceberg integrates with Apache Spark for reading and writing? What is metadata table querying in Iceberg? How do you troubleshoot slow query planning on a large Iceberg table? Explain the execution flow of building a streaming lakehouse pipeline with Iceberg and Flink?
Show more question and Answers...

Web

Comments & Discussions