Use JDBC connect to databrick default cluster and read table into pyspark dataframe. All the column turned into same as column name - dataframe

Question

I have table stored in databrick cluster default database.
my_table2:
I used code like below to Use JDBC connect to databrick default cluster and read table into pyspark dataframe
url = 'jdbc:databricks://[workspace domain]:443/default;transportMode=http;ssl=1;AuthMech=3;httpPath=[path];AuthMech=3;UID=token;PWD=[your_access_token]'
driver_class = 'com.databricks.client.jdbc.Driver'
# create a DataFrame by querying the MySQL database
df_1 = spark.read.format("jdbc")\
.option("url", url)\
.option("driver", driver_class)\
.option("dbtable", 'my_table2')\
.load()
df_1.show()
The final df_1 dataframe become
+----+
|name|
+----+
|name|
|name|
|name|
+----+
Please help!
the final result should be
+----+
|name|
+----+
|John|
|Jane|
|Bob |
+----+

Answer 1

Please follow the JDBC syntax:
jdbc:sqlserver://<server_name>.database.windows.net:1433;database<database_name>;user=<user_name>;password=<Password>;encrypt=true;trustServerCertificate=false;hostNameInCertificate=*.database.windows.net;loginTimeout=30;
I reproduce the same in the environment got this output.
Connect azure Databricks with azure SQL using JDBC
Code:
url = 'jdbc:sqlserver://<server_name>.database.windows.net:1433;database<database_name>;user=<user_name>;password=<Password>;encrypt=true;trustServerCertificate=false;hostNameInCertificate=*.database.windows.net;loginTimeout=30;'
driver_class = 'com.microsoft.sqlserver.jdbc.SQLServerDriver'
df_1 = spark.read.format("jdbc").option("url", url).option("driver", driver_class).option("dbtable", 'table1').load()
df_1.show()
# Create a view or table
df_1.createOrReplaceTempView("my_table2")
Output: