I am having trouble trying to load a csv from file. I keep on getting the following error:
Input(s):
Failed to read data from "hdfs://localhost:9000/user/der/1987.csv"
Output(s):
Failed to produce result in "hdfs://localhost:9000/user/der/totalmiles3"
Looking at my Hadoop hdfs installed in my local machine I see the file. In fact the file is located at multiple locations such as /, /user/ , etc.
hdfs dfs -ls /user/der
Found 1 items
-rw-r--r-- 1 der supergroup 127162942 2015-05-28 12:42
/user/der/1987.csv
My pig scripts is as follows:
records = LOAD '1987.csv' USING PigStorage(',') AS
(Year, Month, DayofMonth, DayOfWeek, DepTime, CRSDepTime, ArrTime,
CRSArrTime, UniqueCarrier, FlightNum, TailNum,ActualElapsedTime,
CRSElapsedTime,AirTime,ArrDelay, DepDelay, Origin, Dest,
Distance:int, TaxIn, TaxiOut, Cancelled,CancellationCode,
Diverted, CarrierDelay, WeatherDelay, NASDelay, SecurityDelay,
lateAircraftDelay);
milage_recs= GROUP records ALL;
tot_miles = FOREACH milage_recs GENERATE SUM(records.Distance);
STORE tot_miles INTO 'totalmiles3';
I ran pig with the -x local option. I was able to read the files from my local hard disk with the -x local option. Got the right answer and the tail -f on Hadoop namenode did not scroll which proves I ran the files all locally on hard disk:
pig -x local totalmiles.pig
Now I am getting errors. It seems the hadoop name server is getting request because I used tail -f and see the logs scroll.
pig totalmiles.pig
records = LOAD '/user/der/1987.csv' USING PigStorage(',') AS
I get the following error:
Failed Jobs:
JobId Alias Feature Message Outputs
job_local602774674_0001 milage_recs,records,tot_miles
GROUP_BY,COMBINER Message: ENOENT: No such file or directory
at
org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmodImpl(Native Method)
at
org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmod(NativeIO.java:230)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.j
ava:724)
at
org.apache.hadoop.fs.FilterFileSystem.setPermission(FilterFileSystem.java: 502)
at org.apache.hadoop.fs.FileSystem.mkdirs(FileSys tem.java:600)
at
org.apache.hadoop.mapreduce.JobResourceUploader.uploadFiles(JobResourceUpl
oader.java:94)
at
org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitte
r.java:98)
at org .apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:193)
...blah...
Input(s):
Failed to read data from "/user/der/1987.csv"
Output(s):
Failed to produce result in "hdfs://localhost:9000/user/der/totalmiles3"
I used the hdfs to check for permissions by mkdir and that seems ok:
hdfs dfs -mkdir /user/der/temp2
hdfs dfs -ls /user/der
Found 3 items
-rw-r--r-- 1 der supergroup 127162942 2015-05-28 12:42
/user/der/1987.csv
drwxr-xr-x - der supergroup 0 2015-05-28 16:21
/user/der/temp2
drwxr-xr-x - der supergroup 0 2015-05-28 15:57
/user/der/test
I tried the pig with mapreduce option and still get the same type of error:
pig -x mapreduce totalmiles.pig
5-05-28 20:58:44,608 [JobControl] INFO
org.apache.hadoop.mapreduce.lib.jobc
ontrol.ControlledJob - PigLatin:totalmiles.pig while
submitting
ENOENT: No such file or directory
at
org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmodImpl(Na at
org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmod(NativeIO.java:230)
at
org.apache.hadoop.fs.RawLocalFileSystem.setPermissi at
org.apache.hadoop.fs.FilterFileSystem.setPermission(FilterFileSy
at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:600)
at
org.apache.hadoop.mapreduce.JobResourceUploader.uploadFiles(Job
at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(Jo
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobS
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290)
My core-site.xml has the temp dir as follows:
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/local/hadoop</value>
<description>A base for other temporary directories.
</description>
</property>
and my hdfs-site.xml as the namenode and datanode as follows:
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/hadoop/dfs/namenode</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/hadoop/dfs/datanode</value>
</property>
I've gotten a bit further in debugging the issue. It seems my namenode is misconfigured as I cannot reformat it:
[hadoop hdfs formatting gets error failed for Block pool ]
We have to give the hadoop file path as : /user/der/1987.csv
records = LOAD '/user/der/1987.csv' USING PigStorage(',') AS
(Year, Month, DayofMonth, DayOfWeek, DepTime, CRSDepTime, ArrTime,
CRSArrTime, UniqueCarrier, FlightNum, TailNum,ActualElapsedTime,
CRSElapsedTime,AirTime,ArrDelay, DepDelay, Origin, Dest,
Distance:int, TaxIn, TaxiOut, Cancelled,CancellationCode,
Diverted, CarrierDelay, WeatherDelay, NASDelay, SecurityDelay,
lateAircraftDelay);
If its for testing, you can have the file : 1987.csv in the path from where you are executing the pig script, i.e. have 1987.csv and the .pig file in the same location.
Related
I am trying to insert data into hive table from a file in hdfs directory by the query:
$ jdbc:hive2://localhost:10000> LOAD DATA INPATH '/user/xyz/stdfiles/testtbl.txt' OVERWRITE INTO TABLE testdb.testtbl;
But the query failed resulting:
Error: Error while compiling statement: FAILED:
HiveAuthzPluginException Error getting permissions for
hdfs://localhost:9000/user/xyz/stdfiles/testtbl.txt: null
(state=42000,code=40000)
I have tried giving permissions by the following command which gives no error:
$ hdfs dfs -chown -R stdfiles /user/xyz/stdfiles
$ hdfs dfs -chmod -R 777 /user/xyz/stdfiles/testtbl.txt
Checked:
$ hdfs dfs -ls /user/xyz/stdfiles
19/05/22 09:15:13 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Found 1 items
-rwxrwxrwx 1 stdfiles supergroup 6 2019-05-22 08:45 /user/xyz/stdfiles/testtbl.txt
Inserting data successfully is by desired output
Add following properties in hadoop configuration file core-site.xml worked for me :)
<property>
<name>hadoop.proxyuser.niazullah.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.niazullah.groups</name>
<value>*</value>
</property>
Also check for user access hdfs:
$ hdfs dfs -ls /user
Output:
drwxr-xr-x - main supergroup 0 2019-05-22 13:22 /user/test
Where "main" is the user change it do the hive user
I learned that I have to configure the NameNode and DataNode dir in hdfs-site.xml. So that's my hdfs-site.xml configuration on the NameNode:
<configuration>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file://usr/local/hadoop-2.6.0/hadoop_data/hdfs/namenode</value>
</property>
<property>
<name>dfs.block.size</name>
<value>134217728</value>
</property>
</configuration>
I did almost the same on my DataNode and changed dfs.namenode to dfs.datanode.
Then I formatted the filesystem via
hadoop namenode -format
Everything seems to be finished without an error.
Then I wanted to create a directory in my HDFS filesystem by using:
hdfs dfs -mkdir test
And I got an error:
mkdir: `test': No such file or directory
What did I miss or what's the common process from formatting to creating files/directories with HDFS?
Well, it's so easy.
hdfs dfs -mkdir /test
was created successfully.
hdfs dfs -put myFile /test/myFile
works as well.
Create a directory:
hdfs dfs -mkdir directoryName
Create a new file in directory
hdfs dfs -touchz directoryName/Newfilename
Write into newly created file in HDFS
nano filename
Save it Cntr+X Y
Read the newly created file from HDFS
nano fileName
Or
hdfs dfs -cat directoryName/fileName
HDFS is a non POSIX compliant file systems so you can't edit files directly inside of HDFS, however you can Copy a file from your local system to HDFS using following command:
hdfs dfs -put /path/in/source/system/filename /path/in/HDFS/system/destination
If you want to create multiple sub-directories then you should also use -p flag:
hdfs dfs -mkdir -p /test/another_test/one_more_test
Im trying to configure my cluster by following this tutorial -
https://developer.yahoo.com/hadoop/tutorial/module2.html
<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://192.168.71.128:9000</value>
</property>
<property>
<name>dfs.data.dir</name>
<value>/home/hadoop-user/hdfs/data</value>
</property>
<property>
<name>dfs.name.dir</name>
<value>/home/hadoop-user/hdfs/name</value>
</property>
</configuration>
I have also copied a local file to /user/prema/ using the below commands
hadoop-user#hadoop-desk:~/hadoop$ bin/hadoop dfs -put /home/hadoop-user/googlebooks-eng-all-1gram-20120701-0 /user/prema
hadoop-user#hadoop-desk:~/hadoop$ bin/hadoop dfs -ls /user/prema
Found 1 items
-rw-r--r-- 1 hadoop-user supergroup 192403080 2014-11-19 02:43 /user/prema
Now, I'm confused. I have datafiles here- /user/prema but the data node in the cluster config points to this - /home/hadoop-user/hdfs/data..How does it get related?
The /user/prema is a folder within HDFS. The folder /home/hadoop-user/hdfs/data is a folder within the regular filesystem.
The regular filesystem folder is the place where HDFS stores its data. So when you read data from HDFS, it actually goes to the physical regular filesystem folder to read the data. You should never need to touch this data as its format is not very user-friendly - the HDFS takes care of data manipulation for you.
I'm getting an error on sqoop2 job submission.
sqoop:000> start job --jid 1
Submission details
Job id: 1
Status: FAILURE_ON_SUBMIT
Creation date: 2013-11-06 11:21:30 IST
Last update date: 2013-11-06 11:21:30 IST
Exception: java.io.FileNotFoundException: File does not exist: hdfs://master:9000/usr/local/sqoop/server/webapps/sqoop/WEB-INF/lib/sqoop-common-1.99.3.jar
Do we need to put all sqoop jar files on HDFS?
I’m running sqoop jobs on the same master node of hadoop 2.2.0
I copied all required jar libs into the hdfs finally and it worked.
hadoop fs -mkdir -p /usr/local/sqoop/server/webapps/sqoop/WEB-INF/lib/
hadoop fs -copyFromLocal /usr/local/sqoop/server/webapps/sqoop/WEB-INF/lib/*.jar /usr/local/sqoop/server/webapps/sqoop/WEB-INF/lib/
Modify mapred-site.xml file.
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
I succeeded
I'm trying to move files from one cluster to another using distcp, using the hftp protocol as specified in their instructions.
I can read directories over hftp, but when I attempt to get a file I get a 500 (internal server error). To eliminate the possibility of network and firewall issues, I'm using hadoop fs -ls and hadoop fs -cat commands on the source server in order to attempt to figure out this issue.
This provides a directory of the files:
hadoop fs -ls logfiles/day_id=19991231/hour_id=1999123123
-rw-r--r-- 3 username supergroup 812 2012-12-16 17:21 logfiles/day_id=19991231/hour_id=1999123123/000008_0
This gives me a "file not found" error, which it should because the file isn't there:
hadoop fs -cat hftp://hserver.domain.com:50070/user/username/logfiles/day_id=19991231/hour_id=1999123123/000008_0x
cat: `hftp://hserver.domain.com:50070/user/username/logfiles/day_id=19991231/hour_id=1999123123/000008_0x': No such file or directory
This line gives me a 500 internal server error. The file is confirmed on the server.
hadoop fs -cat hftp://hserver.domain.com:50070/user/username/logfiles/day_id=19991231/hour_id=1999123123/000008_0
cat: HTTP_OK expected, received 500
Here is a stack trace of what distcp logs when I attempt this:
java.io.IOException: HTTP_OK expected, received 500
at org.apache.hadoop.hdfs.HftpFileSystem$RangeHeaderUrlOpener.connect(HftpFileSystem.java:365)
at org.apache.hadoop.hdfs.ByteRangeInputStream.openInputStream(ByteRangeInputStream.java:119)
at org.apache.hadoop.hdfs.ByteRangeInputStream.getInputStream(ByteRangeInputStream.java:103)
at org.apache.hadoop.hdfs.ByteRangeInputStream.read(ByteRangeInputStream.java:187)
at java.io.DataInputStream.read(DataInputStream.java:83)
at org.apache.hadoop.tools.DistCp$CopyFilesMapper.copy(DistCp.java:424)
at org.apache.hadoop.tools.DistCp$CopyFilesMapper.map(DistCp.java:547)
at org.apache.hadoop.tools.DistCp$CopyFilesMapper.map(DistCp.java:314)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:393)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:327)
at org.apache.hadoop.mapred.Child$4.run(Child.java:268)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1332)
at org.apache.hadoop.mapred.Child.main(Child.java:262)
Can someone tell me why hftp is failing to serve files?
I ran into the same issue and eventually found a solution.
Everythning is explained here in details: http://www.swiss-scalability.com/2015/01/hadoop-hftp-returns-error-httpok.html
But in a nutshell, we're probably binding the NameNode RPC on a wildcard address (i.e. dfs.namenode.rpc-address point to the IP of the interface, and not 0.0.0.0).
Does not work with HFTP:
<property>
<name>dfs.namenode.rpc-address</name>
<value>0.0.0.0:8020</value>
</property>
Works with HFTP:
<property>
<name>dfs.namenode.rpc-address</name>
<value>10.0.1.2:8020</value>
</property>