I'm trying a simple program from the "hadoop in Action" book to merge a series of files from the local file system into one file in the hdfs. The code snippet is the same as the one provided in the book.
import java.lang.*;
import java.util.*;
import java.io.*;
import org.apache.hadoop.fs.*;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.Path;
public class PutMerge {
public static void main(String[] args) throws IOException{
Configuration conf = new Configuration();
FileSystem hdfs = FileSystem.get(conf);
FileSystem local = FileSystem.getLocal(conf);
Path inputDir = new Path(args[0]); // First argument has the input directory
Path hdfsFile = new Path(args[1]); // Concatenated hdfs file name
try {
FileStatus[] inputFiles = local.listStatus(inputDir); // list of Local Files
FSDataOutputStream out = hdfs.create(hdfsFile); // target file creation
for (int i = 0; i<inputFiles.size; i++ {
FSDataInputStream in = local.open(inputFiles[i].getPath());
int bytesRead = 0;
byte[] buff = new byte[256];
while (bytesRead = (in.read(buff))>0) {
out.write(buff,0,bytesRead);
}
in.close();
}
out.close();
}
catch(Exception e) {
e.printStackTrace();
}
}
}
The program successfully compiled and while trying to run I'm getting the following exception
Exception in thread "main" java.lang.NoClassDefFoundError:
org/apache/commons/configuration/Configuration
at org.apache.hadoop.metrics2.lib.DefaultMetricsSystem.(DefaultMetricsSystem.java:37)
at org.apache.hadoop.metrics2.lib.DefaultMetricsSystem.(DefaultMetricsSystem.java:34)
at org.apache.hadoop.security.UgiInstrumentation.create(UgiInstrumentation.java:51)
at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:217)
at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:185)
at org.apache.hadoop.security.UserGroupInformation.isSecurityEnabled(UserGroupInformation.java:237)
at org.apache.hadoop.security.KerberosName.(KerberosName.java:79)
at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:210)
at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:185)
at org.apache.hadoop.security.UserGroupInformation.isSecurityEnabled(UserGroupInformation.java:237)
at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:482)
at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:468)
at org.apache.hadoop.fs.FileSystem$Cache$Key.(FileSystem.java:1519)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1420)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:254)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:123)
at PutMerge.main(PutMerge.java:16) Caused by: java.lang.ClassNotFoundException:
org.apache.commons.configuration.Configuration
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:423)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:356)
... 17 more
Based on inputs from some of the posts, I added the commons package. My classpath definition is
/usr/java/jdk1.7.0_21:/data/commons-logging-1.1.2/commons-logging-1.1.2.jar:/data/hadoop-1.1.2/hadoop-core-1.1.2.jar:/data/commons-logging-1.1.2/commons-logging-adapters-1.1.2.jar:/data/commons-logging-1.1.2/commons-logging-api-1.1.2.jar:.
Any clue on why this is not working?
You didnt include apache configuration in your classpath.
Really though you shouldn't need to include much besides hadoop itself. Make sure you are running your jar with hadoop itself.
> hadoop -jar myJar.jar
Related
I am trying to run the connector example on local machine but keep getting UnknownHostException. How do I configure the access to BigQuery using the Hadoop Connector?
package com.mycompany.dataproc;
import com.google.cloud.hadoop.io.bigquery.BigQueryConfiguration;
import com.google.cloud.hadoop.io.bigquery.GsonBigQueryInputFormat;
import com.google.gson.JsonObject;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.LongWritable;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function;
import scala.Tuple2;
public class BigQueryAccessExample {
JavaSparkContext jsc ;
public BigQueryAccessExample(JavaSparkContext jsc){
}
public static void main(String[] args) throws Exception{
SparkConf conf = new SparkConf()
.setAppName("BigQuery Reader").setMaster("local[5]");
conf.set("spark.serializer", org.apache.spark.serializer.KryoSerializer.class.getName());
JavaSparkContext jsc = new JavaSparkContext(conf);
String projectId = "mycompany-data";
String fullyQualifiedInputTableId = "mylogs.display20151030";
Configuration hadoopConfiguration = jsc.hadoopConfiguration();
//BigQueryConfiguration.
// Set the job-level projectId.
hadoopConfiguration.set(BigQueryConfiguration.PROJECT_ID_KEY, projectId);
// Use the systemBucket for temporary BigQuery export data used by the InputFormat.
String bucket = "my-spark-test";
hadoopConfiguration.set(BigQueryConfiguration.GCS_BUCKET_KEY, bucket);
com.google.cloud.hadoop.io.bigquery.
// Configure input and output for BigQuery access.
BigQueryConfiguration.configureBigQueryInput(hadoopConfiguration, fullyQualifiedInputTableId);
//BigQueryConfiguration.configureBigQueryOutput(conf, fullyQualifiedOutputTableId, outputTableSchema);
JavaPairRDD<LongWritable, JsonObject> tableData = jsc.newAPIHadoopRDD(hadoopConfiguration, GsonBigQueryInputFormat.class, LongWritable.class, JsonObject.class);
//tableData.count();
JavaRDD<JsonObject> myRdd = tableData.map(new Function<Tuple2<LongWritable, JsonObject>, JsonObject>() {
public JsonObject call(Tuple2<LongWritable, JsonObject> v1) throws Exception {
System.out.println(String.format("idx: %s val: %s", v1._1(), v1._2().toString()));
return v1._2();
}
});
myRdd.take(10);
}
}
but I get UnknownHostException
java.net.UnknownHostException: metadata
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:184)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at sun.net.NetworkClient.doConnect(NetworkClient.java:175)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:432)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:527)
at sun.net.www.http.HttpClient.<init>(HttpClient.java:211)
at sun.net.www.http.HttpClient.New(HttpClient.java:308)
at sun.net.www.http.HttpClient.New(HttpClient.java:326)
at sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1168)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1104)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:998)
at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:932)
at com.google.api.client.http.javanet.NetHttpRequest.execute(NetHttpRequest.java:93)
at com.google.api.client.http.HttpRequest.execute(HttpRequest.java:972)
at com.google.cloud.hadoop.util.CredentialFactory$ComputeCredentialWithRetry.executeRefreshToken(CredentialFactory.java:142)
at com.google.api.client.auth.oauth2.Credential.refreshToken(Credential.java:489)
at com.google.cloud.hadoop.util.CredentialFactory.getCredentialFromMetadataServiceAccount(CredentialFactory.java:189)
at com.google.cloud.hadoop.util.CredentialConfiguration.getCredential(CredentialConfiguration.java:71)
at com.google.cloud.hadoop.io.bigquery.BigQueryFactory.createBigQueryCredential(BigQueryFactory.java:81)
at com.google.cloud.hadoop.io.bigquery.BigQueryFactory.getBigQuery(BigQueryFactory.java:101)
at com.google.cloud.hadoop.io.bigquery.BigQueryFactory.getBigQueryHelper(BigQueryFactory.java:89)
at com.google.cloud.hadoop.io.bigquery.AbstractBigQueryInputFormat.getBigQueryHelper(AbstractBigQueryInputFormat.java:363)
at com.google.cloud.hadoop.io.bigquery.AbstractBigQueryInputFormat.getSplits(AbstractBigQueryInputFormat.java:102)
at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:115)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1277)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
at org.apache.spark.rdd.RDD.take(RDD.scala:1272)
at org.apache.spark.api.java.JavaRDDLike$class.take(JavaRDDLike.scala:494)
at org.apache.spark.api.java.AbstractJavaRDDLike.take(JavaRDDLike.scala:47)
at com.mycompany.dataproc.BigQueryAccessExample.main(BigQueryAccessExample.java:57)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
I appears that I need to set up access credentials or permissions .. but I don't see any docs regarding that.
I downloaded credentials from https://console.developers.google.com/project//apiui/credential
and set up GOOGLE_APPLICATION_CREDENTIALS but that didn't seem to work.
Any help?
The simplest way is to create a new service account and download the .p12 file (the Hadoop connectors do not currently support Application Default Credentials or JSON keyfiles):
String serviceAccount = "foo#bar.gserviceaccount.com";
String localKeyfile = "/path/to/local/keyfile.p12";
hadoopConfiguration.set("google.cloud.auth.service.account.enable", true);
hadoopConfiguration.set("google.cloud.auth.service.account.email", serviceAccount);
hadoopConfiguration.set("google.cloud.auth.service.account.keyfile", localKeyfile);
I am using a single node cluster setup of Apache Hadoop 2.5.0 on Ubuntu 14.04
I stored tweets in my HDFS using Flume.
Then, I used the following Hive commands to create a table in Hive which stores all the tweets in tabular format:
CREATE EXTERNAL TABLE tweets (
id BIGINT,
created_at STRING,
source STRING,
favorited BOOLEAN,
retweet_count INT,
retweeted_status STRUCT<
text:STRING,
user:STRUCT<screen_name:STRING,name:STRING>>,
entities STRUCT<
urls:ARRAY<STRUCT<expanded_url:STRING>>,
user_mentions:ARRAY<STRUCT<screen_name:STRING,name:STRING>>,
hashtags:ARRAY<STRUCT<text:STRING>>>,
text STRING,
user STRUCT<
screen_name:STRING,
name:STRING,
friends_count:INT,
followers_count:INT,
statuses_count:INT,
verified:BOOLEAN,
utc_offset:INT,
time_zone:STRING>,
in_reply_to_screen_name STRING
)
ROW FORMAT SERDE 'com.cloudera.hive.serde.JSONSerDe'
LOCATION '/user/flume/tweets';
I have verified that the data exists in the table 'tweets' by querying the database using HiveQL (from the Hive Command Line Interface). I also created an output table using the following command:
CREATE TABLE outputtable (
a STRING,
b INT );
I am using Apache Hive 0.13.1 which already has HCatalog in it. After all this, I am trying to write a MapReduce Job using Java language in Eclipse. I have added the following libraries to my project as external jars:
All the libraries present in path-of-installation-of-hadoop/share/hadoop/common
All the libraries present in path-of-installation-of-hadoop/share/hadoop/mapreduce
All the libraries present in the lib folder of Hive
All the libraries present in path-of-installation-of-Hive/hcatalog/share/hcatalog
My MapReduce code is trying to import the text of the tweets from the table 'tweets' and then process it. My MapReduce code is:
import java.io.IOException;
import java.util.*;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.conf.*;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapreduce.*;
import org.apache.hadoop.util.*;
import org.apache.hcatalog.common.*;
import org.apache.hcatalog.mapreduce.*;
import org.apache.hcatalog.data.*;
import org.apache.hcatalog.data.schema.*;
public class UseHCat extends Configured implements Tool {
public static class Map extends Mapper<WritableComparable, HCatRecord, Text, IntWritable> {
String tweetText;
#Override
protected void map( WritableComparable key,
HCatRecord value,
org.apache.hadoop.mapreduce.Mapper<WritableComparable, HCatRecord,
Text, IntWritable>.Context context)
throws IOException, InterruptedException {
tweetText = (String) value.get(7);
int i = 1;
context.write(new Text(tweetText), new IntWritable(i));
}
}
public static class Reduce extends Reducer<Text, IntWritable,
WritableComparable, HCatRecord> {
protected void reduce( Text key,
java.lang.Iterable<IntWritable> values,
org.apache.hadoop.mapreduce.Reducer<Text, IntWritable,
WritableComparable, HCatRecord>.Context context)
throws IOException, InterruptedException {
Iterator<IntWritable> iter = values.iterator();
IntWritable iw = iter.next();
int id = iw.get();
HCatRecord record = new DefaultHCatRecord(2);
record.set(0, key.toString());
record.set(1, id);
context.write(null, record);
}
}
public int run(String[] args) throws Exception {
Configuration conf = getConf();
String inputTableName = "tweets";
String outputTableName = "outputtable";
String dbName = null;
Job job = new Job(conf, "UseHCat");
HCatInputFormat.setInput(job, InputJobInfo.create(dbName, inputTableName, null));
job.setJarByClass(UseHCat.class);
job.setMapperClass(Map.class);
job.setReducerClass(Reduce.class);
// An HCatalog record as input
job.setInputFormatClass(HCatInputFormat.class);
// Mapper emits a string as key and an integer as value
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(IntWritable.class);
// Ignore the key for the reducer output; emitting an HCatalog record as value
job.setOutputKeyClass(WritableComparable.class);
job.setOutputValueClass(DefaultHCatRecord.class);
job.setOutputFormatClass(HCatOutputFormat.class);
HCatOutputFormat.setOutput(job, OutputJobInfo.create(dbName, outputTableName, null));
HCatSchema s = HCatOutputFormat.getTableSchema(job);
System.err.println("INFO: output schema explicitly set for writing:" + s);
HCatOutputFormat.setSchema(job, s);
return (job.waitForCompletion(true) ? 0 : 1);
}
public static void main(String[] args) throws Exception {
int exitCode = ToolRunner.run(new UseHCat(), args);
System.exit(exitCode);
}
}
The first problem that we are facing is that we are getting many warnings specifying that some of the types and constructors are deprecated. We ignored the warnings and created a jar file of our Project whose main class is 'UseHCat'. Then we browsed to the location where the jar file was created using the terminal provided in Ubuntu and ran the following command:
hadoop jar MyProject.jar
We got the following error:
14/11/16 17:17:29 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/hadoop/hive/ql/metadata/HiveStorageHandler
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:800)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:449)
at java.net.URLClassLoader.access$100(URLClassLoader.java:71)
at java.net.URLClassLoader$1.run(URLClassLoader.java:361)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at org.apache.hcatalog.mapreduce.InitializeInput.getInputJobInfo(InitializeInput.java:146)
at org.apache.hcatalog.mapreduce.InitializeInput.setInput(InitializeInput.java:86)
at org.apache.hcatalog.mapreduce.HCatInputFormat.setInput(HCatInputFormat.java:86)
at org.apache.hcatalog.mapreduce.HCatInputFormat.setInput(HCatInputFormat.java:55)
at org.apache.hcatalog.mapreduce.HCatInputFormat.setInput(HCatInputFormat.java:47)
at UseHCat.run(UseHCat.java:64)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
at UseHCat.main(UseHCat.java:91)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.hive.ql.metadata.HiveStorageHandler
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
... 26 more
Hive is developed to minimize the writing mapreduce program.You can perform the process using Hive queries, internally it will convert into mapreduce job.
However, if you want to access the Hivedb data,you can access. Hive is not a database. All the data stored under warehouse dir in readable format. You can give full path as a input to your mapreduce program.
Have you tried a sample mapreduce program in eclipse. Because you have build the Hadoop plugin or you can use the existing plugin in your eclipse to run mapreduce.
I'm trying to get a hold of DistributedCache. I'm using Apache Hadoop 1.2.1 on two nodes.
I referred to the Cloudera post which is simply extended in the other posts that explain how to use third-party jars using -libjars
Note:
In my jar, I haven't included any jar libs. - neither Hadoop core nor commons lang.
The code :
public class WordCounter extends Configured implements Tool {
#Override
public int run(String[] args) throws Exception {
// TODO Auto-generated method stub
// Job job = new Job(getConf(), args[0]);
Job job = new Job(super.getConf(), args[0]);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
job.setJarByClass(WordCounter.class);
FileInputFormat.setInputPaths(job, new Path(args[1]));
FileOutputFormat.setOutputPath(job, new Path(args[2]));
job.setMapperClass(WCMapper.class);
job.setReducerClass(WCReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
int jobState = job.waitForCompletion(true) ? 0 : 1;
return jobState;
}
public static void main(String[] args) throws Exception {
// TODO Auto-generated method stub
if (args == null || args.length < 3) {
System.out.println("The below three arguments are expected");
System.out
.println("<job name> <hdfs path of the input file> <hdfs path of the output file>");
return;
}
WordCounter wordCounter = new WordCounter();
// System.exit(ToolRunner.run(wordCounter, args));
System.exit(ToolRunner.run(new Configuration(), wordCounter, args));
}
}
The Mapper class is naive, its only attempting to use the StringUtils from Apache Commons(and NOT hadoop)
import java.io.IOException;
import java.util.StringTokenizer;
import org.apache.commons.lang3.StringUtils;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
/**
* #author 298790
*
*/
public class WCMapper extends Mapper<LongWritable, Text, Text, IntWritable> {
private static IntWritable one = new IntWritable(1);
#Override
protected void map(
LongWritable key,
Text value,
org.apache.hadoop.mapreduce.Mapper<LongWritable, Text, Text, IntWritable>.Context context)
throws IOException, InterruptedException {
// TODO Auto-generated method stub
StringTokenizer strTokenizer = new StringTokenizer(value.toString());
Text token = new Text();
while (strTokenizer.hasMoreTokens()) {
token.set(strTokenizer.nextToken());
context.write(token, one);
}
System.out.println("Converting " + value + " to upper case "
+ StringUtils.upperCase(value.toString()));
}
}
The commands that I use :
bigdata#slave3:~$ export HADOOP_CLASSPATH=dumphere/lib/commons-lang3-3.1.jar
bigdata#slave3:~$
bigdata#slave3:~$ echo $HADOOP_CLASSPATH
dumphere/lib/commons-lang3-3.1.jar
bigdata#slave3:~$
bigdata#slave3:~$ echo $LIBJARS
dumphere/lib/commons-lang3-3.1.jar
bigdata#slave3:~$ hadoop jar dumphere/code/jars/hdp_3rdparty.jar com.hadoop.basics.WordCounter "WordCount" "/input/dumphere/Childhood_days.txt" "/output/dumphere/wc" -libjars ${LIBJARS}
The exception I get :
Warning: $HADOOP_HOME is deprecated.
14/08/13 21:56:05 INFO input.FileInputFormat: Total input paths to process : 1
14/08/13 21:56:05 INFO util.NativeCodeLoader: Loaded the native-hadoop library
14/08/13 21:56:05 WARN snappy.LoadSnappy: Snappy native library not loaded
14/08/13 21:56:05 INFO mapred.JobClient: Running job: job_201408111719_0190
14/08/13 21:56:06 INFO mapred.JobClient: map 0% reduce 0%
14/08/13 21:56:37 INFO mapred.JobClient: Task Id : attempt_201408111719_0190_m_000000_0, Status : FAILED
Error: java.lang.ClassNotFoundException: org.apache.commons.lang3.StringUtils
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at com.hadoop.basics.WCMapper.map(WCMapper.java:40)
at com.hadoop.basics.WCMapper.map(WCMapper.java:1)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:364)
at org.apache.hadoop.mapred.Child$4.run(Child.java:255)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1190)
at org.apache.hadoop.mapred.Child.main(Child.java:249)
14/08/13 21:56:42 INFO mapred.JobClient: Task Id : attempt_201408111719_0190_m_000000_1, Status : FAILED
Error: java.lang.ClassNotFoundException: org.apache.commons.lang3.StringUtils
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:423)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:356)
at com.hadoop.basics.WCMapper.map(WCMapper.java:40)
at com.hadoop.basics.WCMapper.map(WCMapper.java:1)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:364)
at org.apache.hadoop.mapred.Child$4.run(Child.java:255)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1190)
at org.apache.hadoop.mapred.Child.main(Child.java:249)
The Cloudera post mentions :
The jar will be placed in distributed cache and will be made available to all of the job’s task attempts. More specifically, you will find the JAR in one of the ${mapred.local.dir}/taskTracker/archive/${user.name}/distcache/… subdirectories on local nodes.
But on that path, I'm not able to find the commons-lang3-3.1.jar
What am I missing?
How can I run the code below from the command line?
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.*;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.util.*;
public class MyHBase {
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
HBaseAdmin admin = new HBaseAdmin(conf);
try {
HTable table = new HTable(conf, "test-table");
Put put = new Put(Bytes.toBytes("test-key"));
put.add(Bytes.toBytes("cf"), Bytes.toBytes("q"), Bytes.toBytes("value"));
table.put(put);
} finally {
admin.close();
}
}
}
How to set my hbase classpath? I am getting a huge string in my classpath.
UPDATE
root# vi MyHBase.java
hbase-0.92.2 root# java -classpath `hbase classpath`:./ /var/root/MyHBase
-sh: hbase: command not found
Exception in thread "main" java.lang.NoClassDefFoundError: /var/root/MyHBase
Caused by: java.lang.ClassNotFoundException: .var.root.MyHBase
at java.net.URLClassLoader$1.run(URLClassLoader.java:202)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
I am able to do
hbase-0.92.2 root# bin/hbase shell
HBase Shell; enter 'help<RETURN>' for list of supported commands.
Type "exit<RETURN>" to leave the HBase Shell
Version 0.92.2, r1379292, Fri Aug 31 13:13:53 UTC 2012
hbase(main):001:0> exit
Am i doing anything wrong?
You can also do something like this:-
# export HADOOP_CLASSPATH=`./hbase classpath`
and then bundle this java in jar to run it within hadoop cluster like this:-
#hadoop jar <jarfile> <mainclass>
Use this
java -classpath `hbase classpath`:./ MyHBase
this will get the entire classpath string that HBase uses and adds the current directory as well to the classpath.
Cheers
Rags
I have a created a simple MapReduce Driver that implements the Tool interface. But when I try to run the job in Eclipse, I get a NoClassDefFoundError before the run() method is invoked.
I am running Hadoop 0.20.2 on Ubuntu 10.04 LTS. The source code and stack trace are provided below. Any assistance will be greatly appreciated.
Sourcecode
import org.apache.hadoop.conf.*;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapreduce.*;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.*;
public class MyTestDriver extends Configured implements Tool {
#Override
public int run(String[] args) throws Exception {
if (args.length != 2) {
System.err.printf("Usage: %s [generic options] <input> <output>\n",
getClass().getSimpleName());
ToolRunner.printGenericCommandUsage(System.err);
return -1;
}
// Code here to submit Hadoop Job ...
return 0;
}
/**
* #param args
*/
public static void main(String[] args) throws Exception {
int exitCode = ToolRunner.run(new MyTestDriver(), args);
System.exit(exitCode);
}
}
Stacktrace
Exception in thread "main" java.lang.NoClassDefFoundError:
org/apache/commons/cli/ParseException at
org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:59) at
org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) at
MaxTemperatureDriver.main(MaxTemperatureDriver.java:44) Caused by:
java.lang.ClassNotFoundException:
org.apache.commons.cli.ParseException at
java.net.URLClassLoader$1.run(URLClassLoader.java:202) at
java.security.AccessController.doPrivileged(Native Method) at
java.net.URLClassLoader.findClass(URLClassLoader.java:190) at
java.lang.ClassLoader.loadClass(ClassLoader.java:307) at
sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301) at
java.lang.ClassLoader.loadClass(ClassLoader.java:248) ... 3 more
Are all of Hadoop's dependencies in your Eclipse build path? Make sure all the jars in the hadoop/lib directory are in your build path.
The error means that there was a particular class that was not found. Classes are stored within .jar files. So, you need to check if all the required jar files are available or not. Jar files are searched based on the CLASSPATH variable. If you are using Eclipse as your development environment, please check if the build dependencies are satisfied (you can do this by - right clicking on your project -> configure build path -> add external jar).
Also, if you are not sure which class is missing, you can check the classname (Hadoop is open source, so you can find the class name) and then search the class name in findjar