我正在尝试使用PySpark连接到mySql数据库,但收到错误。我不知道下面的SparkSession代码中的配置设置是什么-这是我第一次尝试使用spark,因此我一直在关注这里的教程https://towardsdatascience.com/create-your-first-etl-pipeline-in-apache-spark-and-python-ec3d12e2c169。
我尝试连接的mySql数据库可通过Sequel Pro访问,并且我已经使用我在此处输入代码的凭据成功连接到了它(mytable不是文字表,mydb和mypass同样是不同的字符串) 。
scSpark = SparkSession \
.builder \
.appName("reading csv") \
.config("spark.driver.extraClassPath", "/usr/local/spark/jars/mysql-connector-java-8.0.16.jar") \
.getOrCreate()
from pyspark.sql import SQLContext
mySqlContext = SQLContext(scSpark)
然后我运行下面的代码并收到错误...
url="jdbc:mysql://localhost:3306/mydb",
driver = "com.mysql.jdbc.Driver",
dbtable = "mytable",
user="guest",
password="mypass").load()
这里是错误:
<ipython-input-27-811547d9be98> in <module>()
4 dbtable = "mytable",
5 user="guest",
----> 6 password="mypass").load()
/anaconda3/lib/python3.6/site-packages/pyspark/sql/readwriter.py in load(self, path, format, schema, **options)
170 return self._df(self._jreader.load(self._spark._sc._jvm.PythonUtils.toSeq(path)))
171 else:
--> 172 return self._df(self._jreader.load())
173
174 @since(1.4)
/anaconda3/lib/python3.6/site-packages/py4j/java_gateway.py in __call__(self, *args)
1255 answer = self.gateway_client.send_command(command)
1256 return_value = get_return_value(
-> 1257 answer, self.gateway_client, self.target_id, self.name)
1258
1259 for temp_arg in temp_args:
/anaconda3/lib/python3.6/site-packages/pyspark/sql/utils.py in deco(*a, **kw)
61 def deco(*a, **kw):
62 try:
---> 63 return f(*a, **kw)
64 except py4j.protocol.Py4JJavaError as e:
65 s = e.java_exception.toString()
/anaconda3/lib/python3.6/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
--> 328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
Py4JJavaError: An error occurred while calling o340.load.
: java.lang.ClassNotFoundException: com.mysql.jdbc.Driver
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
at org.apache.spark.sql.execution.datasources.jdbc.DriverRegistry$.register(DriverRegistry.scala:45)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$5.apply(JDBCOptions.scala:99)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$5.apply(JDBCOptions.scala:99)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:99)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:35)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:32)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:318)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:167)
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.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
您可以使用此帮助功能。如果尚不存在,它将下载驱动程序:
def connect_to_sql(
spark, jdbc_hostname, jdbc_port, database, data_table, username, password
):
jdbc_url = "jdbc:mysql://{0}:{1}/{2}".format(jdbc_hostname, jdbc_port, database)
connection_details = {
"user": username,
"password": password,
"driver": "com.mysql.cj.jdbc.Driver",
}
df = spark.read.jdbc(url=jdbc_url, table=data_table, properties=connection_details)
return df
[spark
是SparkSession
对象。