ERROR SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Could not parse Master URL: ‘<pyspark.conf.SparkConf object at 0x7fb5da40a850>’
Error Messages:

22/03/14 10:58:26 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
22/03/14 10:58:26 INFO SparkContext: Running Spark version 3.0.0
22/03/14 10:58:26 INFO ResourceUtils: ==============================================================
22/03/14 10:58:26 INFO ResourceUtils: Resources for spark.driver:

22/03/14 10:58:26 INFO ResourceUtils: ==============================================================
22/03/14 10:58:26 INFO SparkContext: Submitted application: Spark01_FindWord.py
22/03/14 10:58:26 INFO SecurityManager: Changing view acls to: root
22/03/14 10:58:26 INFO SecurityManager: Changing modify acls to: root
22/03/14 10:58:26 INFO SecurityManager: Changing view acls groups to: 
22/03/14 10:58:26 INFO SecurityManager: Changing modify acls groups to: 
22/03/14 10:58:26 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(root); groups with view permissions: Set(); users  with modify permissions: Set(root); groups with modify permissions: Set()
22/03/14 10:58:27 INFO Utils: Successfully started service 'sparkDriver' on port 44307.
22/03/14 10:58:27 INFO SparkEnv: Registering MapOutputTracker
22/03/14 10:58:27 INFO SparkEnv: Registering BlockManagerMaster
22/03/14 10:58:27 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
22/03/14 10:58:27 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
22/03/14 10:58:27 INFO SparkEnv: Registering BlockManagerMasterHeartbeat
22/03/14 10:58:27 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-a4554f81-46f5-4499-b6fd-2d5a9005552b
22/03/14 10:58:27 INFO MemoryStore: MemoryStore started with capacity 366.3 MiB
22/03/14 10:58:27 INFO SparkEnv: Registering OutputCommitCoordinator
22/03/14 10:58:27 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
22/03/14 10:58:27 WARN Utils: Service 'SparkUI' could not bind on port 4041. Attempting port 4042.
22/03/14 10:58:27 WARN Utils: Service 'SparkUI' could not bind on port 4042. Attempting port 4043.
22/03/14 10:58:27 WARN Utils: Service 'SparkUI' could not bind on port 4043. Attempting port 4044.
22/03/14 10:58:27 WARN Utils: Service 'SparkUI' could not bind on port 4044. Attempting port 4045.
22/03/14 10:58:27 INFO Utils: Successfully started service 'SparkUI' on port 4045.
22/03/14 10:58:27 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://node01:4045
22/03/14 10:58:27 ERROR SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Could not parse Master URL: '<pyspark.conf.SparkConf object at 0x7fb5da40a850>'
	at org.apache.spark.SparkContext$.org$apache$spark$SparkContext$$createTaskScheduler(SparkContext.scala:2924)
	at org.apache.spark.SparkContext.<init>(SparkContext.scala:528)
	at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
	at py4j.Gateway.invoke(Gateway.java:238)
	at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
	at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
	at py4j.GatewayConnection.run(GatewayConnection.java:238)
	at java.lang.Thread.run(Thread.java:748)
22/03/14 10:58:27 INFO SparkUI: Stopped Spark web UI at http://node01:4045
22/03/14 10:58:27 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
22/03/14 10:58:27 INFO MemoryStore: MemoryStore cleared
22/03/14 10:58:27 INFO BlockManager: BlockManager stopped
22/03/14 10:58:28 INFO BlockManagerMaster: BlockManagerMaster stopped
22/03/14 10:58:28 WARN MetricsSystem: Stopping a MetricsSystem that is not running
22/03/14 10:58:28 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
22/03/14 10:58:28 INFO SparkContext: Successfully stopped SparkContext
Traceback (most recent call last):
  File "/ext/servers/spark3.0/MyCode/Spark01_FindWord.py", line 4, in <module>
    sc = SparkContext(conf)
  File "/ext/servers/spark3.0/python/lib/pyspark.zip/pyspark/context.py", line 131, in __init__
  File "/ext/servers/spark3.0/python/lib/pyspark.zip/pyspark/context.py", line 193, in _do_init
  File "/ext/servers/spark3.0/python/lib/pyspark.zip/pyspark/context.py", line 310, in _initialize_context
  File "/ext/servers/spark3.0/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1569, in __call__
  File "/ext/servers/spark3.0/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: org.apache.spark.SparkException: Could not parse Master URL: '<pyspark.conf.SparkConf object at 0x7fb5da40a850>'
	at org.apache.spark.SparkContext$.org$apache$spark$SparkContext$$createTaskScheduler(SparkContext.scala:2924)
	at org.apache.spark.SparkContext.<init>(SparkContext.scala:528)
	at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
	at py4j.Gateway.invoke(Gateway.java:238)
	at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
	at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
	at py4j.GatewayConnection.run(GatewayConnection.java:238)
	at java.lang.Thread.run(Thread.java:748)

22/03/14 10:58:28 INFO ShutdownHookManager: Shutdown hook called
22/03/14 10:58:28 INFO ShutdownHookManager: Deleting directory /tmp/spark-32987338-486b-448a-b9f4-3cf4d68aa85d
22/03/14 10:58:28 INFO ShutdownHookManager: Deleting directory /tmp/spark-2160f024-2430-4ab1-b5ed-5c3afc402351
(Spark_python) root@node01:/ext/servers/spark3.0/MyCode# spark-submit Spark01_FindWord.py 

Modification method

error code

from pyspark import SparkConf, SparkContext

conf = SparkConf().setMaster("local").setAppName("MyApp")
sc = SparkContext(conf)
hdfs_file = "hdfs://node01:/user/hadoop/test06.txt"
hdfs_rdd = sc.textFile(hdfs_file).count()
print(hdfs_rdd)

Modified code

from pyspark import SparkConf, SparkContext

conf = SparkConf().setMaster("local").setAppName("MyApp")
sc = SparkContext(conf=conf)
hdfs_file = "hdfs://node01:/user/hadoop/test06.txt"
hdfs_rdd = sc.textFile(hdfs_file).count()
print(hdfs_rdd)

Summary

The first is the parameter transfer of the sparkcontext method. If we don’t specify it, you can’t write conf directly for default parameter transfer, so an error will be reported later, so we need to specify the parameters