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InvalidClassException when using PretrainedPipeline #8440
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Could you please try sparknlp.start(spark32=True)? |
@maziyarpanahi While I did miss that detail in the documentation, adding the argument to |
Thanks for the update. I am gonna look to see if that specific pretrained pipeline is compatible with pyspark 3.2 and get back to you. |
Tried two ways to start spark service and had same problem:
or:
Spark NLP version sparknlp.version(): 3.4.4 |
@maziyarpanahi Were you able to discover anything here? I did notice issue #8448 ... seems to be related. |
Hi, |
Description
I am trying to run some sample code on my Spark 3.2.1 deployment, and I get a
java.io.InvalidClassException
. The full error stack is below. The code I am trying to run is simply your example code:The
PretrainedPipeline
object gets to Stage 6 but crashes in the single task.The full error trace:
Expected Behavior
Not to crash.
Current Behavior
Crashing.
Possible Solution
Steps to Reproduce
Context
I am simply trying to get started with this package.
Your Environment
sparknlp.version()
:3.4.4
, I load it with packagespark-nlp-spark32_2.12:3.4.4
spark.version
:3.2.1
java -version
:openjdk version "1.8.0_332"
2.12.15
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