BigData / Apache Hudi Interview Questions
What are the key features of Apache Hudi?
A few core capabilities come up repeatedly in interviews because they're what distinguish Hudi from a plain Parquet-on-S3 data lake.
- Fast, pluggable upserts and deletes — record-level mutations instead of rewriting whole partitions.
- ACID transactions — snapshot isolation and non-blocking concurrency for concurrent readers/writers.
- Incremental queries — pull only the records changed since a given point in time.
- Time travel — query a table as of a past commit, and roll back or use savepoints.
- Automated table services — compaction, clustering, cleaning, and indexing run continuously in the background.
- Multi-engine support — Spark, Flink, Hive, Presto, Trino, and others can all read Hudi tables.
Which capability lets you pull only records changed since a point in time?
Automated table services in Hudi include:
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