I have problem with starting pyspark in cmd on windows 10 (same error in pycharm when creating SparkSessioin), I get following error C:Usersadmin>pyspark Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 22:45:29) [MSC v.1916 32 bit (Intel)] on win32 Type "help", "copyright", "credits" or "license" for more information. Traceback (most recent call last): File "C:spark-3.1.2-bin-hadoop3.2pythonpysparkshell.py", line 29, ..
I have PySpark 3.1.2 and Python 3.8.3 installed in my windows. All the paths are also properly set in environment variables, spark_home, hadoop_home and path. Still I am facing the following error when I am trying to run this code. The error is system cannot find the file specified. from pyspark.sql import SparkSession from pyspark.sql.types ..
When I try to start the livy-server via command prompt using "bash livy-server start", I get the following error which is because of the space in "Program Files". failed to launch C:/Program Files/Java/jdk1.8.0_301/bin/java -cp /c/Users/user_name/apache-livy-0.7.1-incubating-bin/jars/*:/c/Users/user_name/apache-livy-0.7.1-incubating-bin/conf: org.apache.livy.server.LivyServer: nice: ‘C:/Program’: No such file or directory full log in /c/Users/user_name/apache-livy-0.7.1-incubating-bin/logs/livy–server.out Source: Windows..
I am trying to find bad_sectores or bad recorded files on a hard drive programmatically, using c++ or python or apache spark or assembly code,however, couldn’t find any useful until now. Is there any way to scan hard and find bad sectors programmatically? I need sample code that show details like: failure addresses, percent of ..
I run Spark from Windows to a cluster in Ubuntu, and I get this error (it works when we proceed from Ubuntu to Windows) spark-shell –master spark://192.168.1.29:7077 WARN SparkContext: Please ensure that the number of slots available on your executors is limited by the number of cores to task cpus and not another custom resource. ..
I am trying to install pyspark on windows 10. When i try to create a data frame i was getting error message and the error message is as follow: Python was not found; run without arguments to install from the Microsoft Store, or disable this shortcut from Settings > Manage App Execution Aliases. 21/07/21 21:53:00 ..
I am creating a connection between a worker node (Host) and a master node (VM), i established a connection through specifying the IP of the VM to the worker node and i launch a Spark client on the worker node in the hope of reading some data from the master node. Basically i went through ..
Use Case Simple text file data fetching from kafka topic using spark with java programming language and writing CSV using FileWriter with following installations: kafka version: 2.4.0(2.11) Java Version: "16.0.1" Spark version: 2.4.7 with Scala 2.11.12 Hadoop: 2.7 Java compiler: JavaSE-1.8 Background: No experience with Apache Spark Little experience with Apache Kafka Kafka producer and ..
How do I get Hadoop to run on Windows? Every stackoverflow article, and even the documentation at Hadoop is years old and out of date, and does not work, something has changed and the documentation is out of sync – very badly so. I created a windows env var HADOOP_HOME = C:hadoop and put hadoop.dll ..
C:UsersHP>spark-shell Exception in thread "main" java.lang.ExceptionInInitializerError at org.apache.spark.unsafe.array.ByteArrayMethods.<clinit>(ByteArrayMethods.java:54) at org.apache.spark.internal.config.package$.<init>(package.scala:1006) at org.apache.spark.internal.config.package$.<clinit>(package.scala) at org.apache.spark.deploy.SparkSubmitArguments.$anonfun$loadEnvironmentArguments$3(SparkSubmitArguments.scala:157) at scala.Option.orElse(Option.scala:447) at org.apache.spark.deploy.SparkSubmitArguments.loadEnvironmentArguments(SparkSubmitArguments.scala:157) at org.apache.spark.deploy.SparkSubmitArguments.<init>(SparkSubmitArguments.scala:115) at org.apache.spark.deploy.SparkSubmit$$anon$2$$anon$3.<init>(SparkSubmit.scala:990) at org.apache.spark.deploy.SparkSubmit$$anon$2.parseArguments(SparkSubmit.scala:990) at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:85) at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: java.lang.reflect.InaccessibleObjectException: Unable to make private java.nio.DirectByteBuffer(long,int) accessible: module java.base does not "opens java.nio" to unnamed module @7bedc48a at java.base/java.lang.reflect.AccessibleObject.checkCanSetAccessible(AccessibleObject.java:357) at java.base/java.lang.reflect.AccessibleObject.checkCanSetAccessible(AccessibleObject.java:297) ..