AWS Glue Pyspark job is not able to save a Dataframe as csv format into an S3 Bucket (error `py4j.protocol.Py4JJavaError: An error occurred while calling o1257.csv`) 
repost.aws › questions › QUXPLegA1uTo6VFTvwY1bKiA › aws-glue-pyspark-job-is-not-able-to-save-a-dataframe-as-csv-format-into-an-s3-bucket-error-py4j-protocol-py4jjavaerror-an-error-occurred-while-calling-o1257-csv
Hello Chain ,
Since the issue occurred only once and you couldn't reproduce it, it's likely due to a transient network issue. Monitoring your environment for network reliability and adding retry logic in your code would be prudent steps to ensure robustness against similar future occurrences Answer from Adeleke Adebowale .J. on repost.aws
Databricks Community
community.databricks.com › t5 › data-engineering › py4j-protocol-py4jjavaerror-an-error-occurred-while-calling-o359 › td-p › 53933
py4j.protocol.Py4JJavaError: An error occurred whi... - Databricks Community - 53933
October 17, 2025 - from py4j.protocol import Py4JError, Py4JJavaError try: spark.sql.(query) except Exception as e: ## some code except Py4JError as e: ## some code except Py4JJavaError as e: ## some code
GitHub
github.com › delta-io › delta › issues › 1614
[Question] py4j.protocol.Py4JJavaError: An error occurred while calling o38.applySchemaToPythonRDD · Issue #1614 · delta-io/delta
February 24, 2023 - """ if is_error(answer)[0]: if len(answer) > 1: type = answer[1] value = OUTPUT_CONVERTER[type](answer[2:], gateway_client) if answer[1] == REFERENCE_TYPE: > raise Py4JJavaError( "An error occurred while calling {0}{1}{2}.\n". format(target_id, ".", name), value) E py4j.protocol.Py4JJavaError: An error occurred while calling o38.applySchemaToPythonRDD.
Author aimtsou
AWS Glue Pyspark job is not able to save a Dataframe as csv format into an S3 Bucket (error `py4j.protocol.Py4JJavaError: An error occurred while calling o1257.csv`)
AWS re:Post Knowledge Center Feedback Survey · Help us improve the AWS re:Post Knowledge Center by sharing your feedback in a brief survey. Your input can influence how we create and update our content to better support your AWS journey More on repost.aws
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August 23, 2024PySpark python issue: Py4JJavaError: An error occurred while calling o48.showString - Stack Overflow
Communities for your favorite technologies. Explore all Collectives · Stack Overflow for Teams is now called Stack Internal. Bring the best of human thought and AI automation together at your work More on stackoverflow.com
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe - Stack Overflow
Getting following error while running simple word count program using PyCharm. Using- python 2.7 Hadoop 3.0.0 Macos High Sierra Using Spark's default log4j profile: org/apache/spark/log4j- More on stackoverflow.com
py4j.protocol.Py4JJavaError: An error occurred while calling o29.load. : org.apache.spark.SparkClassNotFoundException: [DATA_SOURCE_NOT_FOUND] Failed to find the data source: mongodb
i run data pipelines in airflow gcp using pyspark, it was running perfectly before but suddenly the py4j.protocol.Py4JJavaError: An error occurred while calling o29.load. : org.apache.spark.SparkClassNotFoundException: [DATA_SOURCE_NOT_FOUND] Failed to find the data source: mongodb appears. ... More on mongodb.com
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0
July 22, 2023Microsoft Learn
learn.microsoft.com › en-us › answers › questions › 695496 › py4jjavaerror-an-error-occurred-while-calling
Py4JJavaError: An error occurred while calling - Microsoft Q&A
January 14, 2022 - /databricks/spark/python/pyspark/sql/utils.py in deco(*a, **kw) 115 def deco(*a, **kw): 116 try: --> 117 return f(*a, **kw) 118 except py4j.protocol.Py4JJavaError as e: 119 converted = convert_exception(e.java_exception)
GitHub
github.com › JohnSnowLabs › spark-nlp › issues › 8445
py4j.protocol.Py4JJavaError: An error occurred while calling z:com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.getDownloadSize. · Issue #8445 · JohnSnowLabs/spark-nlp
May 15, 2022 - Description i try download the pre-trained model finBERT, but i have this erro py4j.protocol.Py4JJavaError: An error occurred while calling z:com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.getDownloadSize. code sequenceClassifi...
Py4j
py4j.org › py4j_java_protocol.html
4.3. py4j.protocol — Py4J Protocol — Py4J
Exception raised when a problem occurs with Py4J. class py4j.protocol.Py4JJavaError(msg, java_exception)¶
Stack Overflow
stackoverflow.com › questions › 48940743 › py4j-protocol-py4jjavaerror-an-error-occurred-while-calling-zorg-apache-spark
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe - Stack Overflow
3 Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe ... 17 py4j.protocol.Py4JJavaError occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe
MongoDB
mongodb.com › working with data › connectors & integrations
py4j.protocol.Py4JJavaError: An error occurred while calling o29.load. : org.apache.spark.SparkClassNotFoundException: [DATA_SOURCE_NOT_FOUND] Failed to find the data source: mongodb - Connectors & Integrations - MongoDB Community Hub
July 22, 2023 - i run data pipelines in airflow gcp using pyspark, it was running perfectly before but suddenly the py4j.protocol.Py4JJavaError: An error occurred while calling o29.load. : org.apache.spark.SparkClassNotFoundException: [DATA_SOURCE_NOT_FOUND] Failed to find the data source: mongodb appears. ...
Mark Needham
markhneedham.com › blog › 2015 › 08 › 04 › spark-pysparkhadoop-py4j-protocol-py4jjavaerror-an-error-occurred-while-calling-o23-load-org-apache-hadoop-ipc-remoteexception-server-ipc-version-9-cannot-communicate-with-client-version-4
Spark: pyspark/Hadoop - py4j.protocol.Py4JJavaError: An error occurred while calling o23.load.: org.apache.hadoop.ipc.RemoteException: Server IPC version 9 cannot communicate with client version 4 | Mark Needham
August 4, 2015 - Traceback (most recent call last): File "/Users/markneedham/projects/neo4j-spark-chicago/fbi_spark.py", line 11, in <module> sqlContext.load(source="com.databricks.spark.csv", header="true", path = file).registerTempTable("crimes") File "/Users/markneedham/projects/neo4j-spark-chicago/spark-1.3.0-bin-hadoop1/python/pyspark/sql/context.py", line 482, in load df = self._ssql_ctx.load(source, joptions) File "/Users/markneedham/projects/neo4j-spark-chicago/spark-1.3.0-bin-hadoop1/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__ File "/Users/markneedham/projects/neo4j-spark-chicago/spark-1.3.0-bin-hadoop1/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o23.load.
Reddit
reddit.com › r/apachespark › running pyspark gives py4jjavaerror
r/apachespark on Reddit: Running pyspark gives Py4JJavaError
October 19, 2024 -
Hi All, i just installed Pyspark in my laptop and im facing this error while trying to run the below code, These are my envionment variables:
HADOOP_HOME = C:\Programs\hadoop
JAVA_HOME = C:\Programs\Java
PYSPARK_DRIVER_PYTHON = C:\Users\Asus\AppData\Local\Programs\Python\Python313\python.exe
PYSPARK_HOME = C:\Users\Asus\AppData\Local\Programs\Python\Python313\python.exe
PYSPARK_PYTHON = C:\Users\Asus\AppData\Local\Programs\Python\Python313\python.exe
SPARK_HOME = C:\Programs\Spark
from pyspark.sql import SparkSession
spark = SparkSession.builder.master("local").appName("PySpark Installation Test").getOrCreate()
df = spark.createDataFrame([(1, "Hello"), (2, "World")], ["id", "message"])
df.show()Error logs:
Py4JJavaError Traceback (most recent call last)
Cell In[1], line 5
3 spark = SparkSession.builder.master("local").appName("PySpark Installation Test").getOrCreate()
4 df = spark.createDataFrame([(1, "Hello"), (2, "World")], ["id", "message"])
----> 5 df.show()
File , in DataFrame.show(self, n, truncate, vertical)
887 def show(self, n: int = 20, truncate: Union[bool, int] = True, vertical: bool = False) -> None:
888 """Prints the first ``n`` rows to the console.
889
890 .. versionadded:: 1.3.0
(...)
945 name | Bob
946 """
--> 947 print(self._show_string(n, truncate, vertical))
File , in DataFrame._show_string(self, n, truncate, vertical)
959 raise PySparkTypeError(
960 error_class="NOT_BOOL",
961 message_parameters={"arg_name": "vertical", "arg_type": type(vertical).__name__},
962 )
964 if isinstance(truncate, bool) and truncate:
--> 965 return self._jdf.showString(n, 20, vertical)
966 else:
967 try:
File , in JavaMember.__call__(self, *args)
1316 command = proto.CALL_COMMAND_NAME +\
1317 self.command_header +\
1318 args_command +\
1319 proto.END_COMMAND_PART
1321 answer = self.gateway_client.send_command(command)
-> 1322 return_value = get_return_value(
1323 answer, self.gateway_client, self.target_id, self.name)
1325 for temp_arg in temp_args:
1326 if hasattr(temp_arg, "_detach"):
File , in capture_sql_exception.<locals>.deco(*a, **kw)
177 def deco(*a: Any, **kw: Any) -> Any:
178 try:
--> 179 return f(*a, **kw)
180 except Py4JJavaError as e:
181 converted = convert_exception(e.java_exception)
File , in get_return_value(answer, gateway_client, target_id, name)
324 value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
325 if answer[1] == REFERENCE_TYPE:
--> 326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}".
328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
331 "An error occurred while calling {0}{1}{2}. Trac{3}\n".
332 format(target_id, ".", name, value))
Py4JJavaError: An error occurred while calling o43.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0) (Bat-Computer executor driver): 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$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$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:1144)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
at java.base/java.lang.Thread.run(Thread.java:1583)
Caused by: java.io.EOFException
at java.base/java.io.DataInputStream.readFully(DataInputStream.java:210)
at java.base/java.io.DataInputStream.readInt(DataInputStream.java:385)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)
... 26 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2856)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2792)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2791)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2791)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1247)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1247)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1247)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3060)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2994)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2983)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:989)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2393)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2414)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2433)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:530)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:483)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:61)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:4333)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:3316)
at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:4323)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:546)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:4321)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:4321)
at org.apache.spark.sql.Dataset.head(Dataset.scala:3316)
at org.apache.spark.sql.Dataset.take(Dataset.scala:3539)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:280)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:315)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:75)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:52)
at java.base/java.lang.reflect.Method.invoke(Method.java:580)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:1583)
Caused by: 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$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$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:1144)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
... 1 more
Caused by: java.io.EOFException
at java.base/java.io.DataInputStream.readFully(DataInputStream.java:210)
at java.base/java.io.DataInputStream.readInt(DataInputStream.java:385)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)
... 26 more~\Workspace\Projects\Python\PySpark\MyFirstPySpark_Proj\spark_venv\Lib\site-packages\pyspark\sql\dataframe.py:947~\Workspace\Projects\Python\PySpark\MyFirstPySpark_Proj\spark_venv\Lib\site-packages\pyspark\sql\dataframe.py:965~\Workspace\Projects\Python\PySpark\MyFirstPySpark_Proj\spark_venv\Lib\site-packages\py4j\java_gateway.py:1322~\Workspace\Projects\Python\PySpark\MyFirstPySpark_Proj\spark_venv\Lib\site-packages\pyspark\errors\exceptions\captured.py:179~\Workspace\Projects\Python\PySpark\MyFirstPySpark_Proj\spark_venv\Lib\site-packages\py4j\protocol.py:326.\ne:\n Top answer 1 of 2
1
The code looks correct. What versions of Spark, and Java and Python are you using?
2 of 2
1
u/Competitive-Estate46 , a couple of months ago I think I faced a similar error to yours and I've made a post about it here. You can check it in my profile, in case it helps you out, cause I have also added it a solution that worked for me.
Databricks Community
community.databricks.com › t5 › data-engineering › how-to-solve-py4jjavaerror-an-error-occurred-while-calling-o5082 › td-p › 24028
How to solve Py4JJavaError: An error occurred while calling o5082.csv. : org.apache.spark.SparkException: Job aborted. when writing to csv
July 1, 2025 - Solved: Hi , I get the error: Py4JJavaError: An error occurred while calling o5082.csv. : org.apache.spark.SparkException: Job aborted. when - 24028
GitHub
github.com › jupyterlab › jupyterlab › issues › 17484
Error (Py4JJavaError) running pyspark notebook in VSC · Issue #17484 · jupyterlab/jupyterlab
April 17, 2025 - 328 format(target_id, ".", name), value) 329 else: 330 raise Py4JError( 331 "An error occurred while calling {0}{1}{2}. Trace:\n{3}\n". 332 format(target_id, ".", name, value)) Py4JJavaError: An error occurred while calling o130.showString.
Author fcarub
Top answer 1 of 2
1
This is a current issue with pyspark 2.4.0 installed via conda. You'll want to downgrade to pyspark 2.3.0 via conda prompt or Linux terminal:
conda install pyspark=2.3.0
2 of 2
-1
You may not have right permissions.
I have the same problem when I use a docker image jupyter/pyspark-notebook to run an example code of pyspark, and it was solved by using root within the container.
Anyone also use the image can find some tips here.
GitHub
github.com › jupyterlab › jupyterlab › issues › 16715
Py4JJavaError: An error occurred while calling o71.showString. · Issue #16715 · jupyterlab/jupyterlab
August 24, 2024 - ----> 2 df.show() 3 df.printSchema() ~\anaconda3\lib\site-packages\pyspark\sql\dataframe.py in show(self, n, truncate, vertical) 945 name | Bob 946 """ --> 947 print(self._show_string(n, truncate, vertical)) 948 949 def _show_string( ~\anaconda3\lib\site-packages\pyspark\sql\dataframe.py in _show_string(self, n, truncate, vertical) 963 964 if isinstance(truncate, bool) and truncate: --> 965 return self._jdf.showString(n, 20, vertical) 966 else: 967 try: ~\anaconda3\lib\site-packages\py4j\java_gateway.py in __call__(self, *args) 1320 1321 answer = self.gateway_client.send_command(command) -> 13
Author KanataD
Cloudera Community
community.cloudera.com › t5 › Support-Questions › py4j-protocol-Py4JJavaError-An-error-occurred-while-calling › m-p › 333543
py4j.protocol.Py4JJavaError: An error occurred whi... - Cloudera Community - 333543
January 11, 2022 - raise Py4JJavaError( py4j.protocol.Py4JJavaError: An error occurred while calling o76.saveAsTable. : org.apache.spark.SparkException: Job aborted.
Dataiku Community
community.dataiku.com › questions & discussions › using dataiku
py4j.protocol.Py4JJavaError when calling o100.savePyDataFrame — Dataiku Community
March 29, 2023 - Hi, The error "An error occurred while calling o100.savePyDataFrame" is the last error but not the root cause here. The actual would further up the job logs. Likely your Spark Executor config is too small to handle the larger dataset.
Dataiku Community
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Pyspark python issue:Py4JJavaError: An error occurred while calling o59.classForName. — Dataiku Community
March 21, 2024 - : java.lang.ClassNotFoundException: com.dataiku.dip.spark.StdDataikuSparkContext at java.net.URLClassLoader.findClass(URLClassLoader.java:387) at java.lang.ClassLoader.loadClass(ClassLoader.java:418) at java.lang.ClassLoader.loadClass(ClassLoader.java:351) at java.lang.Class.forName0(Native Method) at java.lang.Class.forName(Class.java:348) at org.apache.spark.util.Utils$.classForName(Utils.scala:218) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(
Cloudera Community
community.cloudera.com › t5 › Support-Questions › py4j-protocol-Py4JJavaError-in-pyspark-while-reading-file › m-p › 228902
py4j.protocol.Py4JJavaError in pyspark while readi... - Cloudera Community - 228902
September 16, 2022 - py4j.protocol.Py4JJavaError: An error occurred while calling o32.load.: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class org.apache.hadoop.fs.s3a.S3AFileSystem not found<br> . So can you please check and download the aws sdk for java https://aws.amazon.com/sdk-for-java/ Uploaded it to the hadoop directory.
GitHub
github.com › JohnSnowLabs › spark-nlp › issues › 7673
py4j.protocol.Py4JJavaError: An error occurred while calling o80.load. : java.lang.NoClassDefFoundError: org/tensorflow/Tensor · Issue #7673 · JohnSnowLabs/spark-nlp
April 5, 2022 - i am trying to run below code but getting the error from sparknlp.pretrained import PipelineModel from pyspark.sql import SparkSession import sparknlp spark=sparknlp.start(spark32=True) pipeline = PipelineModel.load("/home/nikhil/final_p...
Author Nikhilsangle96