Below are my version information: python = 3.11.5 pyspark = 3.4.1 java -version java version "21.0.1" 2023-10-17 LTS Java(TM) SE Runtime Environment (build 21.0.1+12-LTS-29) Java HotSpot(TM) 64-Bit Server VM (build 21.0.1+12-LTS-29, mixed mode, sharing) I am trying to run below code in jupyter notebook: from pyspark.sql import SparkSession spark = SparkSession.builder.appName("practice").getOrCreate() data_path = "pathToFile\TelecomData.csv" rdd = sc.textFile(data_path) filteredRdd = rdd.filter(lambda pair: pair.split(",")[3] =='Y' and pair.split(",")[9] =='Y') for rows in filteredRdd.collect(): print(rows) Below is the error I'm facing: --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[3], line 10 7 filteredRdd = rdd.filter(lambda pair: pair.split(",")[3] =='Y' and pair.split(",")[9] =='Y') 9 # print(sc._jvm.functions) ---> 10 for rows in filteredRdd.collect(): 11 print(rows) File ~\anaconda3\envs\spark_latest\Lib\site-packages\pyspark\rdd.py:1814, in RDD.collect(self) 1812 with SCCallSiteSync(self.context): 1813 assert self.ctx._jvm is not None -> 1814 sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd()) 1815 return list(_load_from_socket(sock_info, self._jrdd_deserializer)) File ~\anaconda3\envs\spark_latest\Lib\site-packages\pyspark\rdd.py:5441, in PipelinedRDD._jrdd(self) 5438 else: 5439 profiler = None -> 5441 wrapped_func = _wrap_function( 5442 self.ctx, self.func, self._prev_jrdd_deserializer, self._jrdd_deserializer, profiler 5443 ) 5445 assert self.ctx._jvm is not None 5446 python_rdd = self.ctx._jvm.PythonRDD( 5447 self._prev_jrdd.rdd(), wrapped_func, self.preservesPartitioning, self.is_barrier 5448 ) File ~\anaconda3\envs\spark_latest\Lib\site-packages\pyspark\rdd.py:5243, in _wrap_function(sc, func, deserializer, serializer, profiler) 5241 pickled_command, broadcast_vars, env, includes = _prepare_for_python_RDD(sc, command) 5242 assert sc._jvm is not None -> 5243 return sc._jvm.SimplePythonFunction( 5244 bytearray(pickled_command), 5245 env, 5246 includes, 5247 sc.pythonExec, 5248 sc.pythonVer, 5249 broadcast_vars, 5250 sc._javaAccumulator, 5251 ) TypeError: 'JavaPackage' object is not callable So far I have checked spark installation in Windows; there are some answers where adding jar path might solve error but in my case im not sure which jars to add. Continue reading...