ABFS Vectored Read helps compatible analytics engines reduce request overhead for selective reads in Azure Data Lake Storage. By combining nearby file ranges into fewer storage requests and executing reads asynchronously, it can reduce network round trips for workloads such as selective Parquet queries.
Azure update ID: 577618
Published: Oct 22, 2026
Status: Launched
Timeline: May 2026 General Availability
Product: Azure Blob Storage, Azure Data Lake Storage
Tag: Feature
Category: Storage, Analytics
Compatible Spark workloads can enable the capability through configuration, without rewriting queries or migrating data.