May 13, 2022 - Solved: 'Py4JJavaError: An error occurred while calling o267._run.' - 17223

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 ... Did you discover any way to raise this error gracefully? I'm facing the same error when running the kinesis stream. Although I'm aware of what the error is but my intent is to raise and log the error gracefully ... Passionate about hosting events and connecting people? Help us grow a vibrant local community—sign up today to get started! Sign Up Now ... Archive of legacy system into Databricks with structure and semi-structured data in Data Engineering 11-27-2025

Hi ,I get the error: Py4JJavaError: An error occurred while calling o5082.csv.: org.apache.spark.SparkException: Job aborted. when writing to csv.Screenshot below with detail error.Any idea how to solve it?Thanks! ... Please try output.coalesce(1).write.option("header","true").format("csv").save("path")It seems to be same to https://community.databricks.com/s/topic/0TO3f000000CjVqGAK/py4jjavaerror

December 22, 2022 - %run notebook fails in Job mode with Py4JJavaError (None.get), but works in interactive notebook in Data Engineering a week ago

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

January 8, 2025 - Python and PySpark Compatibility: Another snippet highlights issues with Python and PySpark version compatibility. Ensure that the versions of Python and PySpark you are using are compatible with each other and with the Databricks Runtime (DBR) version you are on (15.4 LTS ML).

May 10, 2022 - Solved: Hi, I'm trying to save a dataframe to csv with the code below: output.coalesce(1).write.mode('overwrite').option('header', - 24039

July 19, 2024 - The following error occured when running .count() on a big sparkDF. Py4JJavaError: An error occurred while calling o465.count. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 3.0 failed 4 times, most recent failure: Lost task 6.3 in stage 3.0 (TID 32) (10.139.64...

September 22, 2022 - 328 format(target_id, ".", name), value) Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe. : org.apache.spark.SparkException: Job aborted due to stage failure: Could not recover from a failed barrier ResultStage.

August 28, 2025 - Error logs: Py4JJavaError: An error occurred while calling o404.sql. : java.util.NoSuchElementException: None.get at scala.None$.get(Option.scala:529) at scala.None$.get(Option.scala:527) at com.databricks.sql.transaction.tahoe.commands.VacuumCommand$.$anonfun$gc$16(VacuumCommand.scala:569) at com.databricks.sql.util.ThreadLocalTagger.withTag(QueryTagger.scala:62) at com.databricks.sql.util.ThreadLocalTagger.withTag$(QueryTagger.scala:59) at com.databricks.sql.util.QueryTagger$.withTag(QueryTagger.scala:159) at com.databricks.sql.transaction.tahoe.metering.DeltaLogging.$anonfun$recordFrameProf

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Py4JJavaError: An error occurred while calling o422.get.: java.util.NoSuchElementException: None.get · MLflow has an issue in versions below 2.15.0. It is resolved in 2.15.0 and above. Upgrade MLflow to version 2.15.0 or above. Verify the current MLflow version. ... If it’s an older version, or you use a Databricks Runtime version that comes with an older version of MLflow, install the latest version of MLflow in your Databricks cluster.

The error itself normally happens when there is a mismatch between SSL protocol version used by the client and the server. Are you sure there are no changes from your side (as in within your environment where Databricks is running)?

September 25, 2018 - df.write.format('com.databricks.spark.redshift') \ .options(url='%s?rewriteBatchedStatements=true' % config.red_url, dbtable=config.sfeed_table_stage, user=config.red_user, password=config.red_passwd, tempdir=config.s3_tempdir, batchsize=50000).mode('append').save() When I do this, it gives me the error message "py4j.protocol.Py4JJavaError: An error occurred while calling o95.save."

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)

October 20, 2022 - Py4JJavaError: An error occurred while calling o358.showString.

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December 5, 2016 - ---> 30 return _jvm.Thread.currentThread().getContextClassLoader().loadClass(javaClassName) \ 31 .newInstance() 32 /Users/damien/spark-2.0.2-bin-hadoop2.7/python/lib/py4j-0.10.3-src.zip/py4j/java_gateway.py in __call__(self, *args) 1131 answer = self.gateway_client.send_command(command) 1132 return_value = get_return_value( -> 1133 answer, self.gateway_client, self.target_id, self.name) 1134 1135 for temp_arg in temp_args: /Users/damien/spark-2.0.2-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a, **kw) 61 def deco(*a, **kw): 62 try: ---> 63 return f(*a, **kw) 64 except py4j.protocol.Py4JJavaError as e: 65 s = e.java_exception.toString() /Users/damien/spark-2.0.2-bin-hadoop2.7/python/lib/py4j-0.10.3-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name) 317 raise Py4JJavaError( 318 "An error occurred while calling {0}{1}{2}.\n".

────────────────────────── locals ─────────────────────────────────╮ │ │ │ answer = 'xro101' │ │ │ │ gateway_client = <py4j.clientserver.JavaClient object at 0x7f3afed79280> │ │ │ │ name = 'collectToPython' │ │ │ │ target_id = 'o98' │ │ │ │ type = 'r' │ │ │ │ value = JavaObject id=o101 │ │ │ ╰────────────────────────────────────────────