Show HN: Query Historical Data with Time Travel (Iceberg and Spark)

Developer jessol published a tutorial on querying historical data via time travel using Apache Iceberg and Apache Spark, per the Show HN post submitted on August 25, 2026.

The tutorial, hosted on oleander.dev, walks through how to use Iceberg's time-travel capabilities alongside Spark to access and query data as it existed at prior points in time. The submission describes it as a practical guide to the technique rather than a conceptual overview.

Apache Iceberg is an open table format for large analytic datasets, and its time-travel feature allows users to query snapshots of data at specific timestamps or snapshot IDs. Apache Spark is a widely used distributed data processing engine that integrates with Iceberg to execute such queries at scale. Together, they are commonly used in data lakehouse architectures.

The Show HN post drew one point and no comments at the time of submission, per Hacker News. No company, funding, or team information was provided alongside the post.