我正在尝试连接到本地托管的mysql数据库。我尝试了两个系统--R和Python。
以下是我的设置.profile
的屏幕截图和.bash_profile
这是我做的:
试图将pyspark连接到本地mysql,我收到错误见下面(pyspark的跟踪错误)
Py4JJavaError Traceback(最近一次调用最后一次) in() 5 sparkClassPath = os.getenv('SPARK_CLASSPATH','/ Users / me / mysql-connectctor-java-8.0./mysql-connector-java-8.0.11.jar') 6 sqlContext = SQLContext(SparkContext.getOrCreate()) ----> 7 sqlContext.read.format(“jdbc”)。options(url =“jdbc:mysql://127.0.0.1:4040”,driver =“com.mysql.jdbc.Driver”,dbtable =“product”,user = “根”,口令= '')。负载()
~/Documents/spark/spark-2.2.1-bin-hadoop2.7/python/pyspark/sql/readwriter.py in load(self, path, format, schema, **options)
163 return self._df(self._jreader.load(self._spark._sc._jvm.PythonUtils.toSeq(path)))
164 else:
--> 165 return self._df(self._jreader.load())
166
167 @since(1.4)
~/Documents/spark/spark-2.2.1-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py in __call__(self, *args)
1131 answer = self.gateway_client.send_command(command)
1132 return_value = get_return_value(
-> 1133 answer, self.gateway_client, self.target_id, self.name)
1134
1135 for temp_arg in temp_args:
~/Documents/spark/spark-2.2.1-bin-hadoop2.7/python/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()
~/Documents/spark/spark-2.2.1-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
317 raise Py4JJavaError(
318 "An error occurred while calling {0}{1}{2}.\n".
--> 319 format(target_id, ".", name), value)
320 else:
321 raise Py4JError(
Py4JJavaError: An error occurred while calling o93.load.
: java.lang.ClassNotFoundException: com.mysql.jdbc.Driver
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at org.apache.spark.sql.execution.datasources.jdbc.DriverRegistry$.register(DriverRegistry.scala:38)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$6.apply(JDBCOptions.scala:78)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$6.apply(JDBCOptions.scala:78)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:78)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:34)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:34)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:307)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:146)
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:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
试图连接到sparlyr到本地mysql,我收到错误,见下文(sparklyr的跟踪错误)
问题:如何从pyspark或sparklyr连接到mysql?
答案 0 :(得分:0)
SPARK_CLASSPATH
已被弃用,不再受支持。假设jar包含有效的驱动程序版本,请使用:
spark.jars
配置选项。或合并:
spark.driver.extraClassPath
spark.executor.extraClassPath
选项。