could not find the JDBC driver when using Pyspark to connect to MySQL database

Question

I am using PySpark in AWS linux server.

My script:

import findspark
findspark.init()

from pyspark.sql import SparkSession

spark = SparkSession.builder.appName('My first app') \
        .config('spark.executor.extraClassPath', './*') \
        .config('spark.driver.extraClassPath', './*') \
        .getOrCreate()

url = 'xxx.rds.amazonaws.com?useSSL=FALSE&nullCatalogMeansCurrent=true&zeroDateTimeBehavior=convertToNull'
properties = {'user': 'XXX', 'password': 'xxx'}
table = "(select * from xxx limit 1) temp"    
df = spark.read.jdbc(url=url, table=table, properties=properties)
df.show()

When I tried to connect the MySQL database, although I copied 'mysql-connector-java-8.0.16.jar' to both the same folder with the script and '/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.312.b07-1.amzn2.0.2.x86_64/jre/lib/ext', error still shows:

py4j.protocol.Py4JJavaError: An error occurred while calling o34.jdbc.
: java.sql.SQLException: No suitable driver

The detailed error trace:

    Traceback (most recent call last):
  File "ETL.py", line 45, in <module>
    df = spark.read.jdbc(url=url, table=table, properties=properties)
  File "/home/ec2-user/.local/lib/python3.7/site-packages/pyspark/sql/readwriter.py", line 529, in jdbc
    return self._df(self._jreader.jdbc(url, table, jprop))
  File "/home/ec2-user/.local/lib/python3.7/site-packages/py4j/java_gateway.py", line 1322, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "/home/ec2-user/.local/lib/python3.7/site-packages/pyspark/sql/utils.py", line 111, in deco
    return f(*a, **kw)
  File "/home/ec2-user/.local/lib/python3.7/site-packages/py4j/protocol.py", line 328, in get_return_value
    format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o34.jdbc.
: java.sql.SQLException: No suitable driver
        at java.sql.DriverManager.getDriver(DriverManager.java:315)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.$anonfun$driverClass$2(JDBCOptions.scala:107)
        at scala.Option.getOrElse(Option.scala:189)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:107)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:39)
        at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:33)
        at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:350)
        at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274)
        at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:245)
        at scala.Option.getOrElse(Option.scala:189)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:245)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:174)
        at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:294)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:282)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
        at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
        at java.lang.Thread.run(Thread.java:748)

How could I fix this "No suitable driver" problem?