--------------------------------------------------------------------------- Py4JJavaError Traceback (most recent call last) <ipython-input-1-afe677737cd8> in <module>() 3 # 'header': set to true to indicate that the first line of the CSV data file is a header 4 # The file is called 'hour.csv'. ----> 5 df = sqlContext.read.format('com.databricks.spark.csv').option("header", 'true').load("/databricks-datasets/bikeSharing/data-001/hour.csv") 6 # Calling cache on the DataFrame will make sure we persist it in memory the first time it is used. 7 # The following uses will be able to read from memory, instead of re-reading the data from disk. /databricks/spark/python/pyspark/sql/readwriter.py in load(self, path, format, schema, **options) 133 if type(path) != list: 134 path = [path] --> 135 return self._df(self._jreader.load(self._sqlContext._sc._jvm.PythonUtils.toSeq(path))) 136 else: 137 return self._df(self._jreader.load()) /databricks/python/local/lib/python2.7/site-packages/py4j/java_gateway.pyc in __call__(self, *args) 536 answer = self.gateway_client.send_command(command) 537 return_value = get_return_value(answer, self.gateway_client, --> 538 self.target_id, self.name) 539 540 for temp_arg in temp_args: /databricks/spark/python/pyspark/sql/utils.py in deco(*a, **kw) 43 def deco(*a, **kw): 44 try: ---> 45 return f(*a, **kw) 46 except py4j.protocol.Py4JJavaError as e: 47 s = e.java_exception.toString() /databricks/python/local/lib/python2.7/site-packages/py4j/protocol.pyc in get_return_value(answer, gateway_client, target_id, name) 298 raise Py4JJavaError( 299 'An error occurred while calling {0}{1}{2}.\n'. --> 300 format(target_id, '.', name), value) 301 else: 302 raise Py4JError( Py4JJavaError: An error occurred while calling o87.load. : java.lang.ClassNotFoundException: Failed to find data source: com.databricks.spark.csv. Please find packages at http://spark-packages.org at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.lookupDataSource(ResolvedDataSource.scala:77) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:134) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:108) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:136) 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:497) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381) at py4j.Gateway.invoke(Gateway.java:290) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:209) at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.ClassNotFoundException: com.databricks.spark.csv.DefaultSource 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.ResolvedDataSource$$anonfun$4$$anonfun$apply$1.apply(ResolvedDataSource.scala:62) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$$anonfun$4$$anonfun$apply$1.apply(ResolvedDataSource.scala:62) at scala.util.Try$.apply(Try.scala:161) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$$anonfun$4.apply(ResolvedDataSource.scala:62) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$$anonfun$4.apply(ResolvedDataSource.scala:62) at scala.util.Try.orElse(Try.scala:82) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.lookupDataSource(ResolvedDataSource.scala:62) ... 14 more