Sample ORC File Download

👋🏼 Note: Please Extract to get the ORC file

ORC (Optimized Row Columnar) is a columnar storage format built specifically for the Hadoop ecosystem, most commonly paired with Apache Hive. Like Parquet, it stores data column-wise for efficient compression and query performance, but ORC adds lightweight built-in indexes that let a query skip entire row groups that can't match a filter — without decompressing them first.

It also has deep native support for Hive's type system — datetime, decimal, and complex nested types like structs and maps — which is why ORC tends to be the preferred format inside Hive-centric pipelines specifically, even in shops that use Parquet everywhere else.

The file below is a genuine ORC file for testing a Hadoop-adjacent pipeline's read path before pointing it at production data.