PySpark DataFrame unable to drop duplicates

Question

Hello I have created a spark dataframe, and I am trying to remove duplicates:

df.drop_duplicates(subset='id')

I get the following error:

Py4JError: An error occurred while calling z:org.apache.spark.api.python.PythonUtils.toSeq. Trace:
py4j.Py4JException: Method toSeq([class java.lang.String]) does not exist
    at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:335)
    at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:360)
    at py4j.Gateway.invoke(Gateway.java:254)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:209)
    at java.lang.Thread.run(Thread.java:745)

Am using osx 10.11.4, spark 1.6.1

I ran a jupyter notebook like this

PYSPARK_DRIVER_PYTHON=jupyter PYSPARK_DRIVER_PYTHON_OPTS='notebook' pyspark

Is there some other configurations that I might have missed out or got wrong?

zero323 · Accepted Answer · 2016-05-07 10:02:24Z

22

Argument for drop_duplicates / dropDuplicates should be a collection of names, which Java equivalent can be converted to Scala Seq, not a single string. You can use either a list:

df.drop_duplicates(subset=['id'])

or a tuple:

df.drop_duplicates(subset=('id', ))

answered May 7, 2016 at 10:02

zero323

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1 Comment

Max Over a year ago

Damn, thanks. I didn't see that properly. Thought it worked similar to pandas dfs.

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