formatting

docs/databricks/admin-guide/azure_integration.rst

@@ -9,17 +9,19 @@ For detailed information, refer to `ADLS Passthrough Documentation. <https://doc
 Creating Tables
 ---------------
 
-Both managed or unmanaged tables can be created.
+Both managed or unmanaged tables can be created ::
 
-CREATE TABLE <example-table>(id STRING, value STRING) USING org.apache.spark.sql.parquet OPTIONS (PATH "<your-storage-path>")
+ CREATE TABLE <example-table>(id STRING, value STRING) USING org.apache.spark.sql.parquet OPTIONS (PATH "<your-storage-path>")
 
-dataframe.write.option('path', "<your-storage-path>").saveAsTable("<example-table>")
+ dataframe.write.option('path', "<your-storage-path>").saveAsTable("<example-table>")
 
-// Create managed table as select
-dataframe.write.mode(SaveMode.Overwrite).partitionBy("id").saveAsTable("<example-table>")
+ // Create managed table as select
+ 
+ dataframe.write.mode(SaveMode.Overwrite).partitionBy("id").saveAsTable("<example-table>")
 
-// Create unmanaged/external table as select
-dataframe.write.mode(SaveMode.Overwrite).option("path", "<file-path>").saveAsTable("<example-table>")
+ // Create unmanaged/external table as select
+ 
+ dataframe.write.mode(SaveMode.Overwrite).option("path", "<file-path>").saveAsTable("<example-table>")
 
 For detailed information, refer to `Azure Databricks Data Tables Documentation. <https://docs.microsoft.com/en-us/azure/databricks/data/tables>`_