senthh commented on pull request #34272:
URL: https://github.com/apache/spark/pull/34272#issuecomment-942170973
Sample Output after this changes:
SQL :
<p>mysql> CREATE TABLE Persons(Id int NOT NULL, FirstName varchar(255),
LastName varchar(255), Age int);</p>
<p> </p>
<p>mysql> desc Persons;<br>
<ins>----------<del></del></ins>------------<del><ins></ins></del>----<del></del>---<del><ins></ins></del>-------<del></del>------+</p>
<div class="table-wrap">
Field | Type | Null | Key | Default | Extra
-- | -- | -- | -- | -- | --
Id int NO NULL
FirstName varchar(255) YES NULL
LastName varchar(255) YES NULL
Age int YES NULL
</div>
<p><ins>----------<del></del></ins>------------<del><ins></ins></del>----<del></del>---<del><ins></ins></del>-------<del></del>------+</p>
Spark:
scala> val df =
spark.read.format("jdbc").option("database","Test_DB").option("user",
"root").option("password", "").option("driver",
"com.mysql.cj.jdbc.Driver").option("url",
"jdbc:mysql://localhost:3306/Test_DB").option("dbtable", "Persons").load()
df: org.apache.spark.sql.DataFrame = [Id: int, FirstName: string ... 2 more
fields]
scala> df.printSchema()
root
|-- Id: integer (nullable = false)
|-- FirstName: string (nullable = true)
|-- LastName: string (nullable = true)
|-- Age: integer (nullable = true)
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