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 Every stackoverflow article, and even the documentation at Hadoop is years old and out of date, and does not work, something has changed and the documentation is out of sync – very badly so.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 ..
Category : apache-spark
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) ..
I am trying to run a jar which listens when a file is transferred to HDFS. When I run the hadoop fs -put command the file gets added to HDFs but when I debug the jar on the command line – I get the following exception – UnsupportedFileSystemException: No FileSystem for scheme "C". The file ..
I am trying to run a jar which listens when a file is transferred to HDFS. When I run the hadoop fs -put command the file gets added to HDFs but when I debug the jar on the command line – I get the following exception – UnsupportedFileSystemException: No FileSystem for scheme "C". The file ..
I must perform an aggregation within a sliding window in Pyspark. In particular, I must do the following operations: Consider 100 days worth data at a time GroupBy a given column of ID Take the last value of the aggregation Sum the values and return the result These tasks must be computed in a sliding ..
Installed spark (spark-3.1.1-bin-hadoop2.7) downloaded java jdk to "C:Program FilesJavajdk1.8.0_281" downloaded anaconda downloaded winutils.exe to C:sparkspark-3.1.1-bin-hadoop2.7bin 5.I have set the Windows Environment variables to, SPARK_HOME=C:sparkspark-3.1.1-bin-hadoop2.7 HADOOP_HOME=C:sparkspark-3.1.1-bin-hadoop2.7 PYSPARK_DRIVER_PYTHON=jupyter PYSPARK_DRIVER_PYTHON_OPTS=notebook JAVA_HOME="C:Program FilesJavajdk1.8.0_281" (I have tried the suggestion of changing the above to c:Progra~1Javajdk1.8.0_281 and that doesnt work either) I am able to launch jupyter notebook. I then copy ..
I have Windows 10 and I followed this guide to install Spark and make it work on my OS, as long as using Jupyter Notebook tool. I used this command to instantiate the master and import the packages I needed for my job: pyspark –packages graphframes:graphframes:0.8.1-spark3.0-s_2.12 –master local[2] However, later, I figured out that any ..
I’m calling C++ libraries from Python notebooks on DataBricks. Within the notebook it seems there is no way to get informed about crashes happening on the C++ side. Is there a way to access crashdumps, stderror outputs that help investigating the problem? Thank You Source: Windows Que..
I am facing the below error to access hive from local windows using winutils. The below steps are followed to access hive. Can some one help on solving my problem. ERROR Facing: Exception in thread "main" org.apache.spark.sql.AnalysisException: java.lang.RuntimeException: java.io.FileNotFoundException: File /tmp/hive does not exist; Step 1: created a folder as below and placed winutils.exe file. ..
In my spark job, each executor will initialize a c++ library which can segment a text line into word list. When two or more executors allocated on the same machine, initialization of the c++ library multiple times will cause core dump. public class TextSegment implements Serializable { private SparkSession spark = SparkSession.builder() .appName("TextSegment") .getOrCreate(); public ..
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