Group By, Count, Sum, Min, Max, and Average Fields in ORC Data Online
Use our free online tool to group by, count, sum, min, max, and average fields in your Apache ORC data quickly
Group Fields
This tool lets you group rows in your Apache ORC file based on the values in one or more fields--similar to the SQL GROUP BY operation. It’s perfect for summarizing data by category, generating totals, counts, or averages, and reducing large datasets into meaningful aggregates. You can group your data by any column--such as product type, location, or date--and apply functions like sum, min, max, or count to the grouped results. Whether you're analyzing survey responses, sales records, or logs, this tool helps you turn raw data into structured insights without writing any code.
Apache ORC
Apache ORC (Optimized Row Columnar) is a self-describing, columnar file format that supports high compression ratios and fast data retrieval. ORC supports complex types, including structs, lists, maps, and unions. ORC files are divided into blocks of data (stripes) containing statistics (such as min, max, sum, and count) and lightweight indexing which can be used to skip over irrelevant data during queries. ORC also supports predicate pushdown, meaning that filters can be applied as the data is read from disk, reducing the amount of data loaded into memory and processed. Due to its high performance in terms of compression and speed of access, ORC is particularly well-suited for heavy read operations and is commonly used in data warehousing and analytics applications.