如何在pyspark的Jupyter笔记本中为MySQL设置JDBC驱动程序？

如何解决如何在pyspark的Jupyter笔记本中为MySQL设置JDBC驱动程序？

我正在尝试将一堆CSV文件逐行加载到使用pyspark配置在OpenShift上运行的mysql实例中。我有一个可以启动并运行的Jupyter笔记本。

下面是我的代码。并且失败，并显示特定的驱动程序错误

Py4JJavaError: An error occurred while calling o89.save.

from pyspark.sql import SparkSession
from pyspark.sql import SQLContext

if __name__ == '__main__':
    scSpark = SparkSession \
        .builder \
        .appName("reading csv") \
        .getOrCreate()

if __name__ == '__main__':
    scSpark = SparkSession \
        .builder \
        .appName("reading csv") \
        .getOrCreate()
    
data_file = '/opt/app-root/src/data/train.psv'
sdfData = scSpark.read.csv(data_file,header=True,sep="|").cache()
print('Total Records = {}'.format(sdfData.count()))
sdfData.show()

sdfData.registerTempTable("train")
output =  scSpark.sql('SELECT count(*) from train')
output.show()

+--------+
|count(1)|
+--------+
| 1168686|
+--------+

import os
os.environ['PYSPARK_SUBMIT_ARGS'] = '--packages mysql:mysql-connector-java:jar:8.0.21 pyspark-shell'

output = scSpark.sql('SELECT * from train')
output.show()
output.write.format('jdbc').options(
    url='jdbc:mysql://mysql-1-28d85/sepsis',driver='com.mysql.jdbc.Driver',#driver='mysql-connector-java.Driver',#driver='org.mysql.jdbc.Driver',dbtable='train',user='sepsis',password='Success_2020').mode('append').save()


---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
<ipython-input-57-114af97e0442> in <module>
     11     dbtable='train',12     user='sepsis',---> 13     password='Success_2020').mode('append').save()

/opt/app-root/lib/python3.6/site-packages/pyspark/sql/readwriter.py in save(self,path,format,mode,partitionBy,**options)
    735             self.format(format)
    736         if path is None:
--> 737             self._jwrite.save()
    738         else:
    739             self._jwrite.save(path)

/opt/app-root/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:

/opt/app-root/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()

/opt/app-root/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 o1641.save.
: java.lang.ClassNotFoundException: com.mysql.jdbc.Driver
    at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
    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$5.apply(JDBCOptions.scala:99)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:99)
    at org.apache.spark.sql.execution.datasources.jdbc.JdbcOptionsInWrite.<init>(JDBCOptions.scala:190)
    at org.apache.spark.sql.execution.datasources.jdbc.JdbcOptionsInWrite.<init>(JDBCOptions.scala:194)
    at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:45)
    at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
    at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
    at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:83)
    at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:81)
    at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
    at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
    at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
    at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
    at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
    at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676)
    at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:285)
    at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271)
    at sun.reflect.GeneratedMethodAccessor67.invoke(Unknown Source)
    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)

使用软件包更改了代码。

这也是openshift，其中所有组件都作为pod运行，无法访问外部环境。

解决方法

java.lang.ClassNotFoundException：com.mysql.cj.jdbc.Driver

这说明了一切。您必须使用pyspark或类似工具（特定于Jupyter），使用MySQL的JDBC驱动程序启动--driver-class-path（或环境）。

对于Jupyter Notebook

从https://github.com/spinnaker/igor/blob/master/igor-web/src/main/java/com/netflix/spinnaker/igor/build/BuildArtifactFilter.java复制：

如果使用Jupyter Notebook，则应设置PYSPARK_SUBMIT_ARGS环境变量，如下所示：

import os
os.environ['PYSPARK_SUBMIT_ARGS'] = '--packages org.postgresql:postgresql:42.1.1 pyspark-shell'

更改--packages以引用MySQL JDBC驱动程序。

,

一旦您转到spark的安装路径，就会有一个<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script> <form class="output-wrapper" name="output-wrapper"> <input type="text" id="inputA" name="inputA"> <input type="text" id="inputB" name="inputB"> <input type="text" id="result" name="result"> <div class="calc-btn-wrapper"> <div class="nmb-btn container"> <button type="button" value="1" onclick="add()">Add</button> </div> </div> </form>文件夹。下载您的mysql jdbc jar文件并将其放置到jars文件夹中，然后您就不需要该命令或代码的任何选项。