If we don't want to use the virtual environment python then. add the below environment variable. Variable Name : PYSPARK_PYTHON Variable Value : C:\Users\{your_user_name}\AppData\Local\Programs\Python\{PYOUR_PYTHON_VERSION}\python.exe if you add the "PYSPARK_PYTHON" variable then you will not required to set the OS environ variables in the code.
Thanks Diraj. Am trying to do via notebook when am execting the code am getting py4JJavaerror. And how can I see pyspark kernel in notebook do u have any idea about it
Hi. When im running pyspark in command prompt .it is showing the error. And when im initializing a varibale like x=sc.textFile("Readme") It is givinh the error as sc is not defined..please help
Hello @Dhairy Gupta, I followed the same steps what u said, but I'm getting error for Spark and pyspark as --> "is not recognized as an internal or external command, operable program or batch file." could u please tell what I've to do?
@@DEwithDhairyThanku for responding & this is the error when I run it in cmd -> C:\Users\USER>spark-shell 'spark-shell' is not recognized as an internal or external command, operable program or batch file.
@@SandhyaRani-eu7tn got it, It seems like you have missed the environmental variable setup of one of the below Hadoop , Java or spark So check that first , And check the Java and python also if they are proper... By doing Java --version Python --version
You Need to set up path JAVA_HOME, HADOOP_HOME and SPARK_HOME by giving the path. Afterword ensure to add them in path %JAVA_HOME%\bin, %HADOOP_HOME%\bin, %SPARK_HOME%\bin
Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). 24/01/18 11:05:45 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 24/01/18 11:06:20 ERROR FileFormatWriter: Aborting job d9f52533-0dd7-4058-8832-d49e12cd6773. java.lang.UnsatisfiedLinkError: 'boolean org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(java.lang.String, int)' at org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Native Method) at org.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java:793) at org.apache.hadoop.fs.FileUtil.canRead(FileUtil.java:1249) at org.apache.hadoop.fs.FileUtil.list(FileUtil.java:1454) at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:601) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1972) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:2014) at org.apache.hadoop.fs.ChecksumFileSystem.listStatus(ChecksumFileSystem.java:761) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1972) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:2014) at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.getAllCommittedTaskPaths(FileOutputCommitter.java:334) at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJobInternal(FileOutputCommitter.java:404) at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:377) at org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitJob(HadoopMapReduceCommitProtocol.scala:192) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$writeAndCommit$3(FileFormatWriter.scala:275) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.util.Utils$.timeTakenMs(Utils.scala:640) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.writeAndCommit(FileFormatWriter.scala:275) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeWrite(FileFormatWriter.scala:304)@@DEwithDhairy
@@g.suresh430 it's seems like You have not configured the hadoop winutils properly. Go through the videos once again And check yours environmental variables and mine . That will solve the issue.
I am able to read data from CSV File but I am unable to write into CSV file. I added below paths also JAVA_HOME - C:\Program Files\Java\jdk-17 HADOOP_HOME - C:\spark\spark-3.4.2-bin-hadoop3\hadoop SPARK_HOME - C:\spark\spark-3.4.2-bin-hadoop3 %JAVA_HOME%\bin %SPARK_HOME%\bin %HADOOP_HOME%\bin %path% @@DEwithDhairy
while running this code this error occurred 24/03/12 11:52:23 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0) org.apache.spark.SparkException: Python worker exited unexpectedly (crashed) at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:601) at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:583) at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38) at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:772) at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:749) at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:514) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760) at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:888) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:888) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364) at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)occured
If we don't want to use the virtual environment python then.
add the below environment variable.
Variable Name : PYSPARK_PYTHON
Variable Value : C:\Users\{your_user_name}\AppData\Local\Programs\Python\{PYOUR_PYTHON_VERSION}\python.exe
if you add the "PYSPARK_PYTHON" variable then you will not required to set the OS environ variables in the code.
Really, you are great tutor.
I literally struggled googling for errors running pyspark files. Finally your video helped me..Many Thanks
The Best Video about this topic I found on YT
Glad u found helpful.
I really apricate you brother . i was encountering many issues even i could not figure out from out . but this video resolves all errors .Thank you .
Glad u found useful
you are awesome buddy!
Thank you so much!!!! very usefull stuff
Additionally , i need to install py4j through pip install py4j. After that it working
Glad you liked it.
You are a Life Saver!!!
Hi, nice explanation. Thank for making the video. I request you to make a video how to write df to csv file.
Thanks
Sure will make.
Do checkout other playlist as well.
@@DEwithDhairy Sure
This helped me
Glad it helped u
Thanks Diraj. Am trying to do via notebook when am execting the code am getting py4JJavaerror. And how can I see pyspark kernel in notebook do u have any idea about it
Thanks Man
Glad u liked it.
Is Java 17 version incompatible with Hadoop 3.3.5?
Cannot recollect
Check the documentation
Hi. When im running pyspark in command prompt .it is showing the error. And when im initializing a varibale like x=sc.textFile("Readme")
It is givinh the error as sc is not defined..please help
Pls send the entire code.
And check if you have installed all the tools successfully
Resolved by installing python version inline with spark. Thank you..btw video is so helpful
@@DEwithDhairy
@@Rayudu_Alapati glad you found helpful.
Do checkout other playlist.
And share in your network 😀.
Hello @Dhairy Gupta, I followed the same steps what u said, but I'm getting error for Spark and pyspark as --> "is not recognized as an internal or external command,
operable program or batch file." could u please tell what I've to do?
Hi SandhyaRani
It's very generic error ,
Can you paste the entire error or you can send me the Screenshot of error on LinkedIn.
@@DEwithDhairyThanku for responding & this is the error when I run it in cmd -> C:\Users\USER>spark-shell
'spark-shell' is not recognized as an internal or external command,
operable program or batch file.
@@SandhyaRani-eu7tn got it,
It seems like you have missed the environmental variable setup of one of the below
Hadoop , Java or spark
So check that first ,
And check the Java and python also if they are proper...
By doing
Java --version
Python --version
You Need to set up path JAVA_HOME, HADOOP_HOME and SPARK_HOME by giving the path. Afterword ensure to add them in path %JAVA_HOME%\bin, %HADOOP_HOME%\bin, %SPARK_HOME%\bin
Also, ensure to run cmd using Admin first time.
when I try to install spark in windows home then getting error
Hello help me i am getting crash error
Try cross checking with my setup and yours
Thanks bro!
I am getting error. Please help
from pyspark.sql import SparkSession
from datetime import datetime, date
from pyspark.sql import Row
import os
import sys
os.environ['PYSPARK_PYTHON'] = sys.executable
os.environ['PYSPARK_DRIVER_PYTHON'] = sys.executable
print(sys.executable)
spark = SparkSession.builder.getOrCreate()
data = [(1, 'A'), (2, 'B')]
schema = ['id', 'name']
df = spark.createDataFrame(data, schema)
# df.show()
df.write.csv(path='D:/Practice/PySpark/Files', header=True, mode='overwrite')
What are error r getting
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
24/01/18 11:05:45 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
24/01/18 11:06:20 ERROR FileFormatWriter: Aborting job d9f52533-0dd7-4058-8832-d49e12cd6773.
java.lang.UnsatisfiedLinkError: 'boolean org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(java.lang.String, int)'
at org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Native Method)
at org.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java:793)
at org.apache.hadoop.fs.FileUtil.canRead(FileUtil.java:1249)
at org.apache.hadoop.fs.FileUtil.list(FileUtil.java:1454)
at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1972)
at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:2014)
at org.apache.hadoop.fs.ChecksumFileSystem.listStatus(ChecksumFileSystem.java:761)
at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1972)
at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:2014)
at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.getAllCommittedTaskPaths(FileOutputCommitter.java:334)
at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJobInternal(FileOutputCommitter.java:404)
at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:377)
at org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitJob(HadoopMapReduceCommitProtocol.scala:192)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$writeAndCommit$3(FileFormatWriter.scala:275)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.timeTakenMs(Utils.scala:640)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.writeAndCommit(FileFormatWriter.scala:275)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeWrite(FileFormatWriter.scala:304)@@DEwithDhairy
@@g.suresh430 it's seems like
You have not configured the hadoop winutils properly.
Go through the videos once again
And check yours environmental variables and mine .
That will solve the issue.
I am able to read data from CSV File but I am unable to write into CSV file.
I added below paths also
JAVA_HOME - C:\Program Files\Java\jdk-17
HADOOP_HOME - C:\spark\spark-3.4.2-bin-hadoop3\hadoop
SPARK_HOME - C:\spark\spark-3.4.2-bin-hadoop3
%JAVA_HOME%\bin
%SPARK_HOME%\bin
%HADOOP_HOME%\bin
%path%
@@DEwithDhairy
while running this code this error occurred 24/03/12 11:52:23 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:601)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:583)
at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:772)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:749)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:514)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:888)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:888)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)occured
Try checking the my setup and your setup again
Is Java 17 version incompatible with Hadoop 3.3.5?
Check the documentation it keeps on changing