yuqi1129 commented on code in PR #5558:
URL: https://github.com/apache/gravitino/pull/5558#discussion_r1861483105


##########
docs/hive-catalog-with-s3-and-adls.md:
##########
@@ -99,6 +117,7 @@ SupportsSchemas supportsSchemas = catalog.asSchemas();
 
 Map<String, String> schemaProperties = ImmutableMap.<String, String>builder()
     .put("location", "s3a://bucket-name/path")
+    // .put("location", 
"abfss://container-n...@user-account-name.dfs.core.windows.net/path")

Review Comment:
   added.



##########
docs/hive-catalog-with-s3-and-adls.md:
##########
@@ -11,6 +11,8 @@ license: "This software is licensed under the Apache License 
version 2."
 
 Since Hive 2.x, Hive has supported S3 as a storage backend, enabling users to 
store and manage data in Amazon S3 directly through Hive. Gravitino enhances 
this capability by supporting the Hive catalog with S3, allowing users to 
efficiently manage the storage locations of files located in S3. This 
integration simplifies data operations and enables seamless access to S3 data 
from Hive queries.
 
+For ADLS (or Azure Blob storage(abs), or Azure Data lake storage(v2)), the 
integration is similar to S3. The only difference is the configuration 
properties for ADLS. The following sections will guide you through the 
necessary steps to configure the Hive catalog to utilize S3 as a storage 
backend, including configuration details and examples for creating databases 
and tables.

Review Comment:
   resolved.



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