I have Hadoop/HBase/Pig all running successfully under windows 10. But when I go to install Hive 3.1.2 using this guide I get an error initializing Hive under Cygwin: $HIVE_HOME/bin/schematool -dbType derby -initSchema SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/D:/Hadoop/Hive/apache-hive-3.1.2-bin/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/D:/Hadoop/hadoop-3.2.1/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. ..
so i followed the guide to the point and set up everything, but when I try start-all.cmd, I sometime get datanode and namenode to not shut down the managers to shutdown but some other times I get all 4 to shut down, all 4 do open, but they always have some or the other error, ..
I was trying to install Hadoop on windows. Namenode is working fine but Data Node is not working fine. Following error is being displayed again and again even after trying for several times. Following Error is being shown on CMD regarding dataNode: 2021-12-16 20:24:32,624 INFO checker.ThrottledAsyncChecker: Scheduling a check for [DISK]file:/C:/Users/mtalha.umair/datanode 2021-12-16 20:24:32,624 ERROR datanode.DataNode: ..
I tried various steps suggested in the internet, Tried to download Directx Downloaded Microsoft C++ Distributable Package latest version Turned on .Net Framework in "Windows feature On and OFF". Tried to reset the PC. Still its not working. Any suggestions to resolve this issue would be helpful. Source: Windows..
I successfully installed hadoop version 3.2.2 and have Java version 8 (JDK 1.8.0) and followed the tutorial here: https://www.youtube.com/watch?v=g7Qpnmi0Q-s Here are my executions when running Hadoop in command prompt here: The issue here is that hadoop (version 3.2.2) is taking way too long to load after successfully installing it in my local drive exactly like ..
I’m working on Hadoop on Windows 10 and I am getting an error when I am trying run my MapReduce through Hadoop using hadoop jar myjarfile.jar myJavaPackage.myJavaClass /input_dir /output_dir The main error I am getting is Exception message: ‘/tmp/hadoop-Daniel’ is not recognized as an internal or external command, operable program or batch file. I thought ..
I’m trying con config hadoop on Windows I have this error: org.apache.hadoop.util.DiskChecker$DiskErrorException: Too many failed volumes – current valid volumes: 0, volumes configured: 1, volumes failed: 1, volume failures tolerated: 0 at org.apache.hadoop.hdfs.server.datanode.checker.StorageLocationChecker.check(StorageLocationChecker.java:233) at org.apache.hadoop.hdfs.server.datanode.DataNode.makeInstance(DataNode.java:2841) at org.apache.hadoop.hdfs.server.datanode.DataNode.instantiateDataNode(DataNode.java:2754) at org.apache.hadoop.hdfs.server.datanode.DataNode.createDataNode(DataNode.java:2798) at org.apache.hadoop.hdfs.server.datanode.DataNode.secureMain(DataNode.java:2942) at org.apache.hadoop.hdfs.server.datanode.DataNode.main(DataNode.java:2966) 2021-10-12 11:07:43,633 INFO util.ExitUtil: Exiting with status 1: org.apache.hadoop.util.DiskChecker$DiskErrorException: Too many failed ..
I deteled forlders(SPARK) but it is still failed Source: Windows..
I am trying to build the native project available in hadoop latest version (hadoop-trunkhadoop-common-projecthadoop-commonsrcmainnative). However I am getting the following error. Please advise how to fix this. Error 1 error C1083: Cannot open include file: ‘org_apache_hadoop_io_nativeio_NativeIO.h’: No such file or directory D:hadoop-trunkhadoop-common-projecthadoop-commonsrcmainnativesrcorgapachehadoopionativeioNativeIO.c 20 1 native Error 2 error C1083: Cannot open include file: ‘org_apache_hadoop_security_JniBasedUnixGroupsMapping.h’: No ..
I’m trying to write a parquet file using pyspark on a windows 10 machine. I have faced issues about winutils and all issue you can get but not found a solution. So my question is : as anyone managed to install pyspark 3.1.2 on windows 10 and run the following code : from pyspark.sql import ..