Have been trying to set it up for hours now. Nothing works.
- Latest version does not seem to have winutils support, and using it causes errors when using some important methods. (EDIT: this is likely wrong, and the winutils stuff that I have should probably be fine.)
- Older versions require to be built with Maven. However, that just gives me a
PluginExecutionException.
I need to do this ASAP, preferably within the next 3 hours.
I have nowhere else to ask for help, it seems, especially considering that 
suspended an account I set up specifically for asking questions after I edited a relevant post.
Highly doubt that anybody will be able to help me.
EDIT2: the issue has, thankfully, been resolved. I was using Python 3.12, and switched to 3.11.8. That made the problem go away.
·2 months agoI have never used PySpark, but I do know some about python.
How are you installing pyspark? Are there any errors?
pip install pysparkand installing the latest version of Apache Spark leads to errors when callingpyspark.sql.DataFrame.show()methods ofDataFrameobjects.pip install pysparkand installing an older version of Apache Spark, i.e. having a version mismatch between PySpark and Apache Spark, leads to errors even when instantiating aSparkSession.pip install pyspark==3.3.4previously led to an error - the system was unable to build wheels for the package. Now, it seems to install that way, but behaves the same as in the previous case.- Trying to build the 3.3.4 PySpark package manually with
./build/mvnusing Bash from the appropriate directory led toCaused by: org.apache.maven.plugin.PluginExecutionException: Execution scala-compile-first of goal net.alchim31.maven:scala-maven-plu gin:4.4.0:compile failed.
Running this code after having installed this stuff as in case 3:
from pyspark.sql import SparkSession from datetime import datetime, date import pandas as pd from pyspark.sql import Row spark = SparkSession.builder.getOrCreate() df = spark.createDataFrame([ Row(a=1, b=2., c='string1', d=date(2000, 1, 1), e=datetime(2000, 1, 1, 12, 0)), Row(a=2, b=3., c='string2', d=date(2000, 2, 1), e=datetime(2000, 1, 2, 12, 0)), Row(a=4, b=5., c='string3', d=date(2000, 3, 1), e=datetime(2000, 1, 3, 12, 0)) ]) df.printSchema() df.show()leads to this:
Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Traceback (most recent call last): File "[python file path]", line 6, in <module> spark = SparkSession.builder.getOrCreate() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "[python file path]", line 269, in getOrCreate sc = SparkContext.getOrCreate(sparkConf) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "[python file path]", line 483, in getOrCreate SparkContext(conf=conf or SparkConf()) File "[python file path]", line 197, in __init__ self._do_init( File "[python file path]", line 282, in _do_init self._jsc = jsc or self._initialize_context(self._conf._jconf) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "[python file path]", line 402, in _initialize_context return self._jvm.JavaSparkContext(jconf) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "[python file path]", line 1585, in __call__ return_value = get_return_value( ^^^^^^^^^^^^^^^^^ File "[python file path]", 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.ExceptionInInitializerError at org.apache.spark.unsafe.array.ByteArrayMethods.<clinit>(ByteArrayMethods.java:56) at org.apache.spark.memory.MemoryManager.defaultPageSizeBytes$lzycompute(MemoryManager.scala:264) at org.apache.spark.memory.MemoryManager.defaultPageSizeBytes(MemoryManager.scala:254) at org.apache.spark.memory.MemoryManager.$anonfun$pageSizeBytes$1(MemoryManager.scala:273) at scala.runtime.java8.JFunction0$mcJ$sp.apply(JFunction0$mcJ$sp.java:23) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.memory.MemoryManager.<init>(MemoryManager.scala:273) at org.apache.spark.memory.UnifiedMemoryManager.<init>(UnifiedMemoryManager.scala:58) at org.apache.spark.memory.UnifiedMemoryManager$.apply(UnifiedMemoryManager.scala:207) at org.apache.spark.SparkEnv$.create(SparkEnv.scala:320) at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:194) at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:279) at org.apache.spark.SparkContext.<init>(SparkContext.scala:464) at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58) at java.base/jdk.internal.reflect.DirectConstructorHandleAccessor.newInstance(DirectConstructorHandleAccessor.java:62) at java.base/java.lang.reflect.Constructor.newInstanceWithCaller(Constructor.java:502) at java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:486) 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:1570) Caused by: java.lang.IllegalStateException: java.lang.NoSuchMethodException: java.nio.DirectByteBuffer.<init>(long,int) at org.apache.spark.unsafe.Platform.<clinit>(Platform.java:113) ... 25 more Caused by: java.lang.NoSuchMethodException: java.nio.DirectByteBuffer.<init>(long,int) at java.base/java.lang.Class.getConstructor0(Class.java:3784) at java.base/java.lang.Class.getDeclaredConstructor(Class.java:2955) at org.apache.spark.unsafe.Platform.<clinit>(Platform.java:71) ... 25 more SUCCESS: The process with PID 21224 (child process of PID 9020) has been terminated. SUCCESS: The process with PID 9020 (child process of PID 15684) has been terminated. SUCCESS: The process with PID 15684 (child process of PID 4980) has been terminated. Process finished with exit code 1System environmental variables
JAVA_HOME,HADOOP_HOME,SPARK_HOMEare configured. The relevant binary directories are included in thePathsystem environmental variable.
PYTHON_SPARKis set topython.EDIT: Great, and now Maven can't even attempt to build the package and throws the error
Error occurred during initialization of VM Could not reserve enough space for 2097152KB object heapJust great.
Just in case, if I install the library the first way, for the same piece of code the logs start with this:
Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). root |-- a: long (nullable = true) |-- b: double (nullable = true) |-- c: string (nullable = true) |-- d: date (nullable = true) |-- e: timestamp (nullable = true) 24/07/22 19:04:46 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0) org.apache.spark.SparkException: Python worker exited unexpectedly (crashed) at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:612) at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:594) at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38) at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:789) at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:766) at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:525) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCo*removed*tage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43) at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:893) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:893) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367) at org.apache.spark.rdd.RDD.iterator(RDD.scala:331) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93) at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166) at org.apache.spark.scheduler.Task.run(Task.scala:141) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620) at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64) at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) at java.base/java.lang.Thread.run(Thread.java:842) Caused by: java.io.EOFException at java.base/java.io.DataInputStream.readInt(DataInputStream.java:398) at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774) ... 26 moreOne stackoverflow thread mentions running python 3.12. Are you running 3.12? Does it help if you use python 3.11?
Else, an interesting thing might be the "Caused by: java.io.EOFException", an End Of File Exception.
That actually worked. Thank you.
I have got to say that I have a special hatred for arcane programming errors like in this case.
I am running 3.12. I have not tried running 3.11. Highly doubt that that will change anything, but I guess I'll try it when I'm able to.
I'm not sure what I have to glean from the EOF exception.
I do not have a programming setup on my Linux OS yet, although I do consider on trying to do this inside a VM. That will be a bit painful, though, as Virtual Box doesn't seem to allow for much graphics memory, meaning that the framerate will be low.
If things go dire and I will fail to find any sort of way out, I will just have to ask other people to run my code instead, ugh.
You could try WSL, it's basically just a headless Linux VM so it's ideal for stuff like this. The terminal itself is just running on windows so no issues with framerate or anything https://learn.microsoft.com/en-us/windows/wsl/install
I'm not really sure how to actually run and debug relevant python files using WSL, at least on account of me not having used WSL much (I have only installed one distribution for it and set up the first user). Any help in this regard?
Sorry for the late response,
I can't help for PySpark specifically cause I have no experience with it. In general tho you'll have to install the tooling you need to compile/run the program in WSL, I haven't used Spark in years so I don't know specifics but you'll want to have at least Java and Python installed here. On Ubuntu, you'll want the packages
default-jdk,python3,python3-pip,python3-venv(if you're using venv), as well aspython-is-python3for convenience. If you're using venv, you might want to rerunpython -m venv envagain to make sure it has the files Bash needs, then dosource env/bin/activateto activate the venv. You might also have to install pyspark from the Bash shell in case it needs to build anything platform specific. You can set environment variables in~/.bashrc(It's the home dir in the Linux VM, not Windows so use the terminal to change this e.g.nano ~/.bashrcorvim ~/.bashrcif you're familiar with vi) with the shapeexport VARIABLE=VALUE(put quotes around VALUE if it has spaces etc), then start a new shell to load those (doexec bashto replace the currently running shell with a new process)From there you should be able to just run the code normally but in WSL instead
Thankfully, the problem has been resolved, so, after I finish with this project, I will have more time to get an actual programming set up on a non-VM NixOS that I have already installed.