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English
  • Data Engineering Integration 10.5.3
  • All Products

Table of Contents

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  1. Preface
  2. Part 1: Hadoop Integration
  3. Part 2: Databricks Integration
  4. Appendix A: Managing Distribution Packages
  5. Appendix B: Connections Reference

Integration Guide

Integration Guide

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Configure ADLS Storage Access

Configure ADLS Storage Access

If you use ADLS storage, configure some Hadoop credential configuration options as Databricks Spark options.
Configure the following properties in the advanced Spark properties on the Databricks cluster to Delta Lake tables on ADLS Gen1:
Property
Description
dfs.adls.oauth2.access.token.provider.type
Access token provider type. Use the value
ClientCredential
.
dfs.adls.oauth2.client.id
The application ID associated with the Service Principal required to authorize the service principal and access the storage.
dfs.adls.oauth2.credential
The password required to authorize the service principal and access the storage.
dfs.adls.oauth2.refresh.url
The OAUTH 2.0 token endpoint required to authorize the service principal and access the storage.
See the Databricks documentation for examples on how to specify these settings in Scala or Python.
The following excerpt shows how these properties appear in the Spark properties window: 
spark.hadoop.dfs.adls.oauth2.access.token.provider.type ClientCredential 
spark.hadoop.dfs.adls.oauth2.client.id <your-service-client-id>
spark.hadoop.dfs.adls.oauth2.credential <your-service-credentials>
spark.hadoop.dfs.adls.oauth2.refresh.url "https://login.microsoftonline.com/<your-directory-id>/oauth2/token"
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