• Databricks
  • Databricks
  • Support
  • Feedback
  • Try Databricks
  • Help Center
  • Documentation
  • Knowledge Base
Knowledge Base for Databricks on AWS
  • Databricks administration
  • AWS infrastructure
  • Business intelligence tools
  • Clusters
  • Data management
  • Data sources
  • Databricks File System (DBFS)
    • Cannot access objects written by Databricks from outside Databricks
    • Cannot read Databricks objects stored in the DBFS root directory
    • How to calculate the Databricks file system (DBFS) S3 API call cost
    • How to specify the DBFS path
    • Operation not supported during append
    • Parallelize filesystem operations
    • S3 connection reset error
  • Databricks SQL
  • Developer tools
  • Delta Lake
  • Jobs
  • Job execution
  • Libraries
  • Machine learning
  • Metastore
  • Metrics
  • Notebooks
  • Security and permissions
  • Streaming
  • Visualizations
  • Python with Apache Spark
  • R with Apache Spark
  • Scala with Apache Spark
  • SQL with Apache Spark

Updated Jul 27, 2021

Send us feedback

  • Documentation
  • Databricks File System (DBFS)

Databricks File System (DBFS)

These articles can help you with the Databricks File System (DBFS).

  • Cannot access objects written by Databricks from outside Databricks
  • Cannot read Databricks objects stored in the DBFS root directory
  • How to calculate the Databricks file system (DBFS) S3 API call cost
  • How to specify the DBFS path
  • Operation not supported during append
  • Parallelize filesystem operations
  • S3 connection reset error

© Databricks 2021. All rights reserved. Apache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation.

Send us feedback | Privacy Policy | Terms of Use