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[Solved] Pyspark Error: “Py4JJavaError: An error occurred while calling o655.count.” when calling count() method on dataframe

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Pyspark Error: “Py4JJavaError: An error occurred while calling o655.count.” when calling count() method on dataframe in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How Pyspark Error: “Py4JJavaError: An error occurred while calling o655.count.” when calling count() method on dataframe Error Occurs?

Today I get the following error Pyspark Error: “Py4JJavaError: An error occurred while calling o655.count.” when calling count() method on dataframe in python.

How To Solve Pyspark Error: “Py4JJavaError: An error occurred while calling o655.count.” when calling count() method on dataframe Error ?

  1. How To Solve Pyspark Error: “Py4JJavaError: An error occurred while calling o655.count.” when calling count() method on dataframe Error ?

    To Solve Pyspark Error: “Py4JJavaError: An error occurred while calling o655.count.” when calling count() method on dataframe Error If you download Java 8, the exception will disappear. If you already have Java 8 installed, just change JAVA_HOME to it.

  2. Pyspark Error: “Py4JJavaError: An error occurred while calling o655.count.” when calling count() method on dataframe

    To Solve Pyspark Error: “Py4JJavaError: An error occurred while calling o655.count.” when calling count() method on dataframe Error If you download Java 8, the exception will disappear. If you already have Java 8 installed, just change JAVA_HOME to it.

Solution 1

What Java version do you have on your machine? Your problem is probably related to Java 9.

If you download Java 8, the exception will disappear. If you already have Java 8 installed, just change JAVA_HOME to it.

Solution 2

Could you try df.repartition(1).count() and len(df.toPandas())?

If it works, then the problem is most probably in your spark configuration.

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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