Error while opening PySpark shell with the package and conf on my local
arverma opened this issue · comments
Error
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.NoClassDefFoundError: scala/Product$class
pyspark --version
22/02/03 18:11:23 WARN Utils: Your hostname, BLRETV-C02G23EY.local resolves to a loopback address: 127.0.0.1; using 192.168.118.186 instead (on interface en0)
22/02/03 18:11:23 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/usr/local/Cellar/apache-spark/3.2.0/libexec/jars/spark-unsafe_2.12-3.2.0.jar) to constructor java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 3.2.0
/_/
Using Scala version 2.12.15, OpenJDK 64-Bit Server VM, 11.0.12
Branch HEAD
Compiled by user ubuntu on 2021-10-06T12:46:30Z
Revision 5d45a415f3a29898d92380380cfd82bfc7f579ea
Url https://github.com/apache/spark
Type --help for more information.
pyspark --packages qubole:sparklens:0.3.2-s_2.11 --conf spark.extraListeners=com.qubole.sparklens.QuboleJobListener
Python 3.8.2 (default, Jun 8 2021, 11:59:35)
[Clang 12.0.5 (clang-1205.0.22.11)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
22/02/03 18:01:16 WARN Utils: Your hostname, BLRETV-C02G23EY.local resolves to a loopback address: 127.0.0.1; using 192.168.118.186 instead (on interface en0)
22/02/03 18:01:16 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/usr/local/Cellar/apache-spark/3.2.0/libexec/jars/spark-unsafe_2.12-3.2.0.jar) to constructor java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
:: loading settings :: url = jar:file:/usr/local/Cellar/apache-spark/3.2.0/libexec/jars/ivy-2.5.0.jar!/org/apache/ivy/core/settings/ivysettings.xml
Ivy Default Cache set to: /Users/aman.rv/.ivy2/cache
The jars for the packages stored in: /Users/aman.rv/.ivy2/jars
qubole#sparklens added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent-876ed4ea-9694-4b7e-94dd-880032fb7c49;1.0
confs: [default]
found qubole#sparklens;0.3.2-s_2.11 in spark-packages
:: resolution report :: resolve 104ms :: artifacts dl 2ms
:: modules in use:
qubole#sparklens;0.3.2-s_2.11 from spark-packages in [default]
---------------------------------------------------------------------
| | modules || artifacts |
| conf | number| search|dwnlded|evicted|| number|dwnlded|
---------------------------------------------------------------------
| default | 1 | 0 | 0 | 0 || 1 | 0 |
---------------------------------------------------------------------
:: retrieving :: org.apache.spark#spark-submit-parent-876ed4ea-9694-4b7e-94dd-880032fb7c49
confs: [default]
0 artifacts copied, 1 already retrieved (0kB/6ms)
22/02/03 18:01:16 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
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
22/02/03 18:01:18 WARN SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext should be running in this JVM (see SPARK-2243). The other SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:490)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
py4j.Gateway.invoke(Gateway.java:238)
py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
py4j.ClientServerConnection.run(ClientServerConnection.java:106)
java.base/java.lang.Thread.run(Thread.java:829)
22/02/03 18:01:18 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
/usr/local/Cellar/apache-spark/3.2.0/libexec/python/pyspark/shell.py:42: UserWarning: Failed to initialize Spark session.
warnings.warn("Failed to initialize Spark session.")
Traceback (most recent call last):
File "/usr/local/Cellar/apache-spark/3.2.0/libexec/python/pyspark/shell.py", line 38, in <module>
spark = SparkSession._create_shell_session() # type: ignore
File "/usr/local/Cellar/apache-spark/3.2.0/libexec/python/pyspark/sql/session.py", line 553, in _create_shell_session
return SparkSession.builder.getOrCreate()
File "/usr/local/Cellar/apache-spark/3.2.0/libexec/python/pyspark/sql/session.py", line 228, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/usr/local/Cellar/apache-spark/3.2.0/libexec/python/pyspark/context.py", line 392, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/usr/local/Cellar/apache-spark/3.2.0/libexec/python/pyspark/context.py", line 146, in __init__
self._do_init(master, appName, sparkHome, pyFiles, environment, batchSize, serializer,
File "/usr/local/Cellar/apache-spark/3.2.0/libexec/python/pyspark/context.py", line 209, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/usr/local/Cellar/apache-spark/3.2.0/libexec/python/pyspark/context.py", line 329, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/usr/local/Cellar/apache-spark/3.2.0/libexec/python/lib/py4j-0.10.9.2-src.zip/py4j/java_gateway.py", line 1573, in __call__
return_value = get_return_value(
File "/usr/local/Cellar/apache-spark/3.2.0/libexec/python/lib/py4j-0.10.9.2-src.zip/py4j/protocol.py", line 326, in get_return_value
raise Py4JJavaError(
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.NoClassDefFoundError: scala/Product$class
at com.qubole.sparklens.common.ApplicationInfo.<init>(ApplicationInfo.scala:22)
at com.qubole.sparklens.QuboleJobListener.<init>(QuboleJobListener.scala:42)
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:490)
at org.apache.spark.util.Utils$.$anonfun$loadExtensions$1(Utils.scala:2876)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:293)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:293)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:290)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:108)
at org.apache.spark.util.Utils$.loadExtensions(Utils.scala:2868)
at org.apache.spark.SparkContext.$anonfun$setupAndStartListenerBus$1(SparkContext.scala:2538)
at org.apache.spark.SparkContext.$anonfun$setupAndStartListenerBus$1$adapted(SparkContext.scala:2537)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.SparkContext.setupAndStartListenerBus(SparkContext.scala:2537)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:641)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:490)
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.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:829)