Pytesseract with Pyspark throws Error :- pytesseract module not found - pyspark

Question

I am trying to write OCR code using spark and pytesseract and I am running into pytesseract module not found error even though pytesseract module is installed.
import pytesseract
from PIL import Image
path='/XXXX/JupyterLab/notebooks/testdir'
rdd = sc.binaryFiles(path)
rdd.keys().collect()
-->['file:XXX/JupyterLab/notebooks/testdir/copy.png']
input=rdd.keys().map(lambda s: s.replace("file:",""))
def read(x):
import pytesseract
image=Image.open(x)
text=pytesseract.image_to_open(image)
return text
newRdd= input.map(lambda x : read(x))
newRdd.collect()
"On newRdd.collect() I get following error"
ModuleNotFoundError: No module named 'pytesseract'at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:298)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:438)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:421)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$16.apply(RDD.scala:960)
at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$16.apply(RDD.scala:960)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2111)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2111)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:420)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
I am not sure how can I pass the rdd.key() which holds the image path to pytesseract.image_to_String() using Image.open().
Thank you.

Answer 1

My error was resolved by adding
sc.addPyFile('/pathto........../pytesseract/pytesseract.py')