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databricks Platform · Updated Jun 16, 2026

Improved workspace files read performance

For serverless compute and classic compute running Databricks Runtime 18 and above, common file access patterns are now detected for workspace files, and directory metadata and file contents are…

What it does

For serverless compute and classic compute running Databricks Runtime 18 and above, common file access patterns are now detected for workspace files, and directory metadata and file contents are prefetched in the background. Workloads that read many files, such as find, grep, Python imports, and Git operations, run much faster. Workspace files are the files stored and managed in the Databricks workspace file system.

Why it matters

Workloads that read many files, such as find, grep, Python imports, and Git operations, run much faster.

Architecture
Databricks Platform → Platform
In short

For serverless compute and classic compute running Databricks Runtime 18 and above, common file access patterns are now detected for workspace files, and directory metadata and file contents are prefetched in the background. Workloads that read many files…

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Key takeaway
For serverless compute and classic compute running Databricks Runtime 18 and above, common file access patterns are now detected for workspace files, and directory metadata and file contents are…
2026-06-16-improved-workspace-files-read-performance Generated by the Databricks Updates Agent · browse all updates