These are a set of testing which we can do on a Hadoop environment. These are basic testing to make sure the environment is setup correctly.
NOTE : On a
kerberized cluster we need to use the keytab to execute these commands.
Creating keytab.
$ ktutil
ktutil: addent -password -p @ADDOMAIN.AHMEDINC.COM -k 1 -e RC4-HMAC
Password for @ADDOMAIN.AHMEDINC.COM: ********
ktutil: wkt .keytab
ktutil: quit
$ ls
.keytab
HDFS Testing
Running
pi hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar pi 100 100000
Running
TestDFSIO hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-client-jobclient*tests*.jar
Command output.
$ hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-client-jobclient*tests*.jar
Unknown program '/opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-client-jobclient-tests.jar' chosen.
Valid program names are:
DFSCIOTest: Distributed i/o benchmark of libhdfs.
DistributedFSCheck: Distributed checkup of the file system consistency.
JHLogAnalyzer: Job History Log analyzer.
MRReliabilityTest: A program that tests the reliability of the MR framework by injecting faults/failures
SliveTest: HDFS Stress Test and Live Data Verification.
TestDFSIO: Distributed i/o benchmark.
fail: a job that always fails
filebench: Benchmark SequenceFile(Input|Output)Format (block,record compressed and uncompressed), Text(Input|Output)Format (compressed and uncompressed)
largesorter: Large-Sort tester
loadgen: Generic map/reduce load generator
mapredtest: A map/reduce test check.
minicluster: Single process HDFS and MR cluster.
mrbench: A map/reduce benchmark that can create many small jobs
nnbench: A benchmark that stresses the namenode.
sleep: A job that sleeps at each map and reduce task.
testbigmapoutput: A map/reduce program that works on a very big non-splittable file and does identity map/reduce
testfilesystem: A test for FileSystem read/write.
testmapredsort: A map/reduce program that validates the map-reduce framework's sort.
testsequencefile: A test for flat files of binary key value pairs.
testsequencefileinputformat: A test for sequence file input format.
testtextinputformat: A test for text input format.
threadedmapbench: A map/reduce benchmark that compares the performance of maps with multiple spills over maps with 1 spill
Example execution.
hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-client-jobclient*tests*.jar TestDFSIO -write -nrFiles 10 -fileSize 1000
hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-client-jobclient*tests*.jar TestDFSIO -read -nrFiles 10 -fileSize 1000
Running Terasort
First create the data using
teragen. hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar teragen 1000000 /user/zahmed/terasort-input
Then execute
terasort (mapreduce job) on the generated teragen data set. hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar terasort /user/zahmed/terasort-input /user/zahmed/terasort-output
YARN Testing
When the above jobs are running we can go to
Cloudera manager -> YARN -> Applications to check the application running.Testing Hive from Hue
If using a kerberos environment do this before creating a table.
Creating a Database.
create database TEST;
Creating a Table.
use TEST;
CREATE TABLE IF NOT EXISTS employee ( eid int, name String, salary String, destination String);
Insert into table.
insert into table employee values (1,'zubair','13123123','eng')
select * from employee where eid=1;
This should return inserted value.
Testing Impala from Hue
Invalidate metastore and check for
hive database. invalidate metadata;
You should see the
test database created earlier. Execute select query to verify. select * from employee where eid=1;
Testing Spark
Running a Pi Job. Logon to one of the Gateway nodes.
spark-submit --class org.apache.spark.examples.SparkPi --deploy-mode cluster --master yarn /opt/cloudera/parcels/CDH-5.8.3-1.cdh5.8.3.p0.2/lib/spark/lib/spark-examples.jar 10
Testing and Grant Permission on Hbase
First pick the hbase keytab above and execute below command.
NOTE: If you are using a
NOTE: If you are using a
kerberos environment and want to give access to other users, you need to use the hbase keytab. $ hbase shell
17/02/20 08:44:29 INFO Configuration.deprecation: hadoop.native.lib is deprecated. Instead, use io.native.lib.available
HBase Shell; enter 'help' for list of supported commands.
Type "exit" to leave the HBase Shell
Vaddomainion 1.2.0-cdh5.8.3, rUnknown, Wed Oct 12 20:32:08 PDT 2016
Creating
emp table. hbase(main):001:0> create 'emp', 'paddomainonal data', 'professional data'
0 row(s) in 2.5390 seconds
=> Hbase::Table - emp
hbase(main):002:0> list
TABLE
emp
1 row(s) in 0.0120 seconds
=> ["emp"]
hbase(main):003:0> user_permission emp
NameError: undefined local variable or method `emp' for #
Checking user permission on the table, currently we have
hbase user as the owner hbase(main):004:0> user_permission "emp"
User Namespace,Table,Family,Qualifier:Permission
hbase default,emp,,: [Permission: actions=READ,WRITE,EXEC,CREATE,ADMIN]
1 row(s) in 0.3380 seconds
Adding permission to new user.
hbase(main):005:0> grant "zahmed", "RWC", "emp"
0 row(s) in 0.2320 seconds
Checking Permission.
hbase(main):006:0> user_permission "emp"
User Namespace,Table,Family,Qualifier:Permission
zahmed default,emp,,: [Permission: actions=READ,WRITE,CREATE]
hbase default,emp,,: [Permission: actions=READ,WRITE,EXEC,CREATE,ADMIN]
2 row(s) in 0.0510 seconds
hbase(main):007:0>
Now logon to
hue to check the new hbase table appear there.Testing SQOOP
Create a mysql database and add table with data.
Creating database.
mysql> create database employee;
Query OK, 1 row affected (0.01 sec)
Creating Table.
mysql> CREATE TABLE IF NOT EXISTS employees ( eid varchar(20), name varchar(25), salary varchar(20), destination varchar(15));
Query OK, 0 rows affected (0.00 sec)
mysql> show tables;
+--------------------+
| Tables_in_employee |
+--------------------+
| employees |
+--------------------+
1 row in set (0.00 sec)
mysql> describe employees;
+-------------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------+-------------+------+-----+---------+-------+
| eid | varchar(20) | YES | | NULL | |
| name | varchar(25) | YES | | NULL | |
| salary | varchar(20) | YES | | NULL | |
| destination | varchar(15) | YES | | NULL | |
+-------------+-------------+------+-----+---------+-------+
4 rows in set (0.00 sec)
Inserting data into the table.
mysql> insert into employees values ("123EFD", "ZUBAIR AHMED", "1000", "ENGINEER");
Query OK, 1 row affected (0.00 sec)
Checking table.
mysql> select * from employees;
+--------+--------------+--------+-------------+
| eid | name | salary | destination |
+--------+--------------+--------+-------------+
| 123EFD | ZUBAIR AHMED | 1000 | ENGINEER |
+--------+--------------+--------+-------------+
1 row in set (0.01 sec)
mysql> insert into employees values ("123EFD123", "Z AHMED", "11000", "ENGINEER");
Query OK, 1 row affected (0.00 sec)
mysql> insert into employees values ("123123EFD123", "Z AHMD", "11000", "ENGINEER");
Query OK, 1 row affected (0.00 sec)
mysql> select * from employees;
+--------------+--------------+--------+-------------+
| eid | name | salary | destination |
+--------------+--------------+--------+-------------+
| 123EFD | ZUBAIR AHMED | 1000 | ENGINEER |
| 123EFD123 | Z AHMED | 11000 | ENGINEER |
| 123123EFD123 | Z AHMD | 11000 | ENGINEER |
+--------------+--------------+--------+-------------+
3 rows in set (0.00 sec)
Grant permission to a user which can access the database.
mysql> grant all privileges on employee.* to emp@'%' identified by 'emp@123';
Query OK, 0 rows affected (0.00 sec)
Once we have the database created, execute command below.
sqoop import --connect jdbc:mysql://atlbdl1drlha001.gpsbd.lab1.ahmedinc.com/employee --username emp --password emp@123 --query 'SELECT * from employees where $CONDITIONS' --split-by eid --target-dir /user/zahmed/sqoop_test
Command output.
$ sqoop import --connect jdbc:mysql://atlbdl1drlha001.gpsbd.lab1.ahmedinc.com/employee --username emp --password emp@123 --query 'SELECT * from employees where $CONDITIONS' --split-by eid --target-dir /user/zahmed/sqoop_test
Warning: /opt/cloudera/parcels/CDH-5.8.3-1.cdh5.8.3.p0.2/bin/../lib/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
17/02/21 08:54:15 INFO sqoop.Sqoop: Running Sqoop vaddomainion: 1.4.6-cdh5.8.3
17/02/21 08:54:15 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
17/02/21 08:54:16 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
17/02/21 08:54:16 INFO tool.CodeGenTool: Beginning code generation
17/02/21 08:54:16 INFO manager.SqlManager: Executing SQL statement: SELECT * from employees where (1 = 0)
17/02/21 08:54:16 INFO manager.SqlManager: Executing SQL statement: SELECT * from employees where (1 = 0)
17/02/21 08:54:16 INFO manager.SqlManager: Executing SQL statement: SELECT * from employees where (1 = 0)
17/02/21 08:54:16 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce
Note: /tmp/sqoop-cmadmin/compile/32f74db698040b57c22af35843d5af89/QueryResult.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
17/02/21 08:54:17 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-cmadmin/compile/32f74db698040b57c22af35843d5af89/QueryResult.jar
17/02/21 08:54:17 INFO mapreduce.ImportJobBase: Beginning query import.
17/02/21 08:54:17 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
17/02/21 08:54:18 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
17/02/21 08:54:18 INFO hdfs.DFSClient: Created token for zahmed: HDFS_DELEGATION_TOKEN owner=zahmed@ADDOMAIN.AHMEDINC.COM, renewer=yarn, realUser=, issueDate=1487667258619, maxDate=1488272058619, sequenceNumber=19, masterKeyId=10 on ha-hdfs:hdfsHA
17/02/21 08:54:18 INFO security.TokenCache: Got dt for hdfs://hdfsHA; Kind: HDFS_DELEGATION_TOKEN, Service: ha-hdfs:hdfsHA, Ident: (token for zahmed: HDFS_DELEGATION_TOKEN owner=zahmed@ADDOMAIN.AHMEDINC.COM, renewer=yarn, realUser=, issueDate=1487667258619, maxDate=1488272058619, sequenceNumber=19, masterKeyId=10)
17/02/21 08:54:20 INFO db.DBInputFormat: Using read commited transaction isolation
17/02/21 08:54:20 INFO db.DataDrivenDBInputFormat: BoundingValsQuery: SELECT MIN(eid), MAX(eid) FROM (SELECT * from employees where (1 = 1) ) AS t1
17/02/21 08:54:20 WARN db.TextSplitter: Generating splits for a textual index column.
17/02/21 08:54:20 WARN db.TextSplitter: If your database sorts in a case-insensitive order, this may result in a partial import or duplicate records.
17/02/21 08:54:20 WARN db.TextSplitter: You are strongly encouraged to choose an integral split column.
17/02/21 08:54:20 INFO mapreduce.JobSubmitter: number of splits:5
17/02/21 08:54:20 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1487410266772_0001
17/02/21 08:54:20 INFO mapreduce.JobSubmitter: Kind: HDFS_DELEGATION_TOKEN, Service: ha-hdfs:hdfsHA, Ident: (token for zahmed: HDFS_DELEGATION_TOKEN owner=zahmed@ADDOMAIN.AHMEDINC.COM, renewer=yarn, realUser=, issueDate=1487667258619, maxDate=1488272058619, sequenceNumber=19, masterKeyId=10)
17/02/21 08:54:22 INFO impl.YarnClientImpl: Application submission is not finished, submitted application application_1487410266772_0001 is still in NEW
17/02/21 08:54:23 INFO impl.YarnClientImpl: Submitted application application_1487410266772_0001
17/02/21 08:54:23 INFO mapreduce.Job: The url to track the job: http://atlbdl1drlha001.gpsbd.lab1.ahmedinc.com:8088/proxy/application_1487410266772_0001/
17/02/21 08:54:23 INFO mapreduce.Job: Running job: job_1487410266772_0001
17/02/21 08:54:34 INFO mapreduce.Job: Job job_1487410266772_0001 running in uber mode : false
17/02/21 08:54:34 INFO mapreduce.Job: map 0% reduce 0%
17/02/21 08:54:40 INFO mapreduce.Job: map 20% reduce 0%
17/02/21 08:54:43 INFO mapreduce.Job: map 60% reduce 0%
17/02/21 08:54:46 INFO mapreduce.Job: map 100% reduce 0%
17/02/21 08:54:46 INFO mapreduce.Job: Job job_1487410266772_0001 completed successfully
17/02/21 08:54:46 INFO mapreduce.Job: Countaddomain: 30
File System Countaddomain
FILE: Number of bytes read=0
FILE: Number of bytes written=768050
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=636
HDFS: Number of bytes written=102
HDFS: Number of read operations=20
HDFS: Number of large read operations=0
HDFS: Number of write operations=10
Job Countaddomain
Launched map tasks=5
Other local map tasks=5
Total time spent by all maps in occupied slots (ms)=37208
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=37208
Total vcore-seconds taken by all map tasks=37208
Total megabyte-seconds taken by all map tasks=38100992
Map-Reduce Framework
Map input records=3
Map output records=3
Input split bytes=636
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=94
CPU time spent (ms)=3680
Physical memory (bytes) snapshot=1625182208
Virtual memory (bytes) snapshot=8428191744
Total committed heap usage (bytes)=4120903680
File Input Format Countaddomain
Bytes Read=0
File Output Format Countaddomain
Bytes Written=102
17/02/21 08:54:46 INFO mapreduce.ImportJobBase: Transferred 102 bytes in 27.8888 seconds (3.6574 bytes/sec)
17/02/21 08:54:46 INFO mapreduce.ImportJobBase: Retrieved 3 records.
Checking for data in HDFS.
$ hdfs dfs -ls /user/zahmed/
Found 2 items
drwx------ - zahmed supergroup 0 2017-02-21 08:54 /user/zahmed/.staging
drwxr-xr-x - zahmed supergroup 0 2017-02-21 08:54 /user/zahmed/sqoop_test
Here is the data which was picked up by the (
SQOOP) MR job. $ hdfs dfs -ls /user/zahmed/sqoop_test
Found 6 items
-rw-r--r-- 3 zahmed supergroup 0 2017-02-21 08:54 /user/zahmed/sqoop_test/_SUCCESS
-rw-r--r-- 3 zahmed supergroup 0 2017-02-21 08:54 /user/zahmed/sqoop_test/part-m-00000
-rw-r--r-- 3 zahmed supergroup 35 2017-02-21 08:54 /user/zahmed/sqoop_test/part-m-00001
-rw-r--r-- 3 zahmed supergroup 0 2017-02-21 08:54 /user/zahmed/sqoop_test/part-m-00002
-rw-r--r-- 3 zahmed supergroup 0 2017-02-21 08:54 /user/zahmed/sqoop_test/part-m-00003
-rw-r--r-- 3 zahmed supergroup 67 2017-02-21 08:54 /user/zahmed/sqoop_test/part-m-00004
$ hdfs dfs -cat /user/zahmed/sqoop_test/part-m-00000
$ hdfs dfs -cat /user/zahmed/sqoop_test/part-m-00001
123123EFD123,Z AHMD,11000,ENGINEER
$ hdfs dfs -cat /user/zahmed/sqoop_test/part-m-00003
$ hdfs dfs -cat /user/zahmed/sqoop_test/part-m-00002
$ hdfs dfs -cat /user/zahmed/sqoop_test/part-m-00004
123EFD,ZUBAIR AHMED,1000,ENGINEER
123EFD123,Z AHMED,11000,ENGINEER
[Note: Few of the jobs did not recieve any data as there were only 3 row in the table.]
Key Trustee Testing
NOTE: To enable key trustee the server should be
kerberos enabled.Create a key and directory.
kinit
hadoop key create mykey1
hadoop fs -mkdir /tmp/zone1
Create a zone and link to the key.
kinit hdfs
hdfs crypto -createZone -keyName mykey1 -path /tmp/zone1
Create a file, put it in your zone and ensure the file can be decrypted.
kinit
echo "Hello World" > /tmp/helloWorld.txt
hadoop fs -put /tmp/helloWorld.txt /tmp/zone1
hadoop fs -cat /tmp/zone1/helloWorld.txt
rm /tmp/helloWorld.txt
Ensure the file is stored as encrypted.
kinit hdfs
hadoop fs -cat /.reserved/raw/tmp/zone1/helloWorld.txt
hadoop fs -rm -R /tmp/zone1
Command Output
Getting user credentials.
$ kinit zahmed@ADDOMAIN.AHMEDINC.COM
Password for zahmed@ADDOMAIN.AHMEDINC.COM:
$ hdfs dfs -ls /
Found 3 items
drwx------ - hbase hbase 0 2017-02-23 14:43 /hbase
drwxrwxrwx - hdfs supergroup 0 2017-02-21 13:37 /tmp
drwxr-xr-x - hdfs supergroup 0 2017-02-17 17:47 /user
$ hdfs dfs -ls /user
Found 10 items
drwxr-xr-x - hdfs supergroup 0 2017-02-17 09:18 /user/hdfs
drwxrwxrwx - mapred hadoop 0 2017-02-16 15:13 /user/history
drwxr-xr-x - hdfs supergroup 0 2017-02-17 19:15 /user/hive
drwxrwxr-x - hue hue 0 2017-02-16 15:16 /user/hue
drwxrwxr-x - impala impala 0 2017-02-16 15:16 /user/impala
drwxrwxr-x - oozie oozie 0 2017-02-16 15:17 /user/oozie
drwxr-x--x - spark spark 0 2017-02-16 15:14 /user/spark
drwxrwxr-x - sqoop2 sqoop 0 2017-02-16 15:18 /user/sqoop2
drwxr-xr-x - yxc27 supergroup 0 2017-02-17 18:09 /user/yxc27
drwxr-xr-x - zahmed supergroup 0 2017-02-20 08:20 /user/zahmed
Creating a
key $ hadoop key create mykey1
mykey1 has been successfully created with options Options{cipher='AES/CTR/NoPadding', bitLength=128, description='null', attributes=null}.
org.apache.hadoop.crypto.key.kms.LoadBalancingKMSClientProvider@62e10dd0 has been updated.
Creating a
zone $ hadoop fs -mkdir /tmp/zone1
Login in as
hdfs $ cd /var/run/cloudera-scm-agent/process/
$ sudo su
# ls -lt | grep hdfs
drwxr-x--x. 3 hdfs hdfs 500 Feb 23 14:50 1071-namenodes-failover
drwxr-x--x. 3 hdfs hdfs 500 Feb 23 14:48 1070-hdfs-NAMENODE-safemode-wait
drwxr-x--x. 3 hdfs hdfs 380 Feb 23 14:47 1069-hdfs-FAILOVERCONTROLLER
drwxr-x--x. 3 hdfs hdfs 400 Feb 23 14:47 598-hdfs-FAILOVERCONTROLLER
drwxr-x--x. 3 hdfs hdfs 500 Feb 23 14:47 1068-hdfs-NAMENODE-nnRpcWait
drwxr-x--x. 3 hdfs hdfs 500 Feb 23 14:47 1067-hdfs-NAMENODE
drwxr-x--x. 3 hdfs hdfs 520 Feb 23 14:47 1063-hdfs-NAMENODE-rollEdits
drwxr-x--x. 3 hdfs hdfs 500 Feb 23 14:47 1065-hdfs-NAMENODE-jnSyncWait
# cd 1071-namenodes-failover
# hostname
server.tigris.ahmedinc.com
# kinit -kt hdfs.keytab hdfs/server.tigris.ahmedinc.com@DEVDOMAIN.AHMEDINC.COM
Creating Zone.
# hdfs crypto -createZone -keyName mykey1 -path /tmp/zone1
Added encryption zone /tmp/zone1
# exit
exit
Login in as
admin user. $ klist
Ticket cache: FILE:/tmp/krb5cc_9002
Default principal: zahmed@ADDOMAIN.AHMEDINC.COM
Valid starting Expires Service principal
02/23/17 15:54:57 02/24/17 01:55:01 krbtgt/ADDOMAIN.AHMEDINC.COM@ADDOMAIN.AHMEDINC.COM
renew until 03/02/17 15:54:57
$ echo "Hello World" > /tmp/helloWorld.txt
$ hadoop fs -put /tmp/helloWorld.txt /tmp/zone1
$ hadoop fs -cat /tmp/zone1/helloWorld.txt
Hello World
$ rm /tmp/helloWorld.txt
$ sudo su
# klist
Ticket cache: FILE:/tmp/krb5cc_0
Default principal: hdfs/server.tigris.ahmedinc.com@DEVDOMAIN.AHMEDINC.COM
Valid starting Expires Service principal
02/23/17 15:57:15 02/24/17 01:57:14 krbtgt/DEVDOMAIN.AHMEDINC.COM@DEVDOMAIN.AHMEDINC.COM
renew until 03/02/17 15:57:15
# hadoop fs -cat /.reserved/raw/tmp/zone1/helloWorld.txt
▒▒▒i▒
# hadoop fs -rm -R /tmp/zone1
17/02/23 15:58:59 INFO fs.TrashPolicyDefault: Moved: 'hdfs://hdfsHA/tmp/zone1' to trash at: hdfs://hdfsHA/user/hdfs/.Trash/Current/tmp/zone1
#
Thank you for info.
ReplyDeletekeep updating more posts..
hadoop admin training