Installed HDP 3.1.5, and enabled KERBEROS security.
In Hive normal create table is working fine. But when I'm trying to create any role getting below error. Please suggest the solution.
0: jdbc:hive2://host> create role userRole;
INFO : Compiling command(queryId=hive_20200320085236_d9a4f82e-dab8-4952-aa53-da11a1cda4b6): create role userRole
INFO : Semantic Analysis Completed (retrial = false)
INFO : Returning Hive schema: Schema(fieldSchemas:null, properties:null)
INFO : Completed compiling command(queryId=hive_20200320085236_d9a4f82e-dab8-4952-aa53-da11a1cda4b6); Time taken: 0.021 seconds
INFO : Executing command(queryId=hive_20200320085236_d9a4f82e-dab8-4952-aa53-da11a1cda4b6): create role bdauserRole
INFO : Starting task [Stage-0:DDL] in serial mode
ERROR : FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. createRole not implemented in FallbackHiveAuthorizer
INFO : Completed executing command(queryId=hive_20200320085236_d9a4f82e-dab8-4952-aa53-da11a1cda4b6); Time taken: 0.02 seconds
Error: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. createRole not implemented in FallbackHiveAuthorizer (state=08S01,code=1)
Related
Need help in resolving below issue.
I have installed Ubuntu as Windows subsystem on Windows 10.
Installed Hadoop 3.1.3 and Hive 3.1.2
When I am running normal query without MapReduce its running fine.
hive> use bhudwh;
OK
Time taken: 1.075 seconds
hive> select id from matches where id < 5;
OK
1
2
3
4
Time taken: 6.012 seconds, Fetched: 4 row(s)
hive>
When running MapReduce query, it throws error - Error: Could not find or load main class 1600.
hive> select distinct id from matches;
Query ID = bhush_20200529144705_62bc4f10-1604-453f-a90c-ed905c9c1fe9
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapreduce.job.reduces=<number>
Starting Job = job_1590670326852_0003, Tracking URL = http://DESKTOP-EU9VK4S.localdomain:8088/proxy/application_1590670326852_0003/
Kill Command = /mnt/e/Study/Hadoop/hadoop-3.1.3/bin/mapred job -kill job_1590670326852_0003
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2020-05-29 14:47:24,644 Stage-1 map = 0%, reduce = 0%
2020-05-29 14:47:41,549 Stage-1 map = 100%, reduce = 100%
Ended Job = job_1590670326852_0003 with errors
Error during job, obtaining debugging information...
Examining task ID: task_1590670326852_0003_m_000000 (and more) from job job_1590670326852_0003
Task with the most failures(4):
-----
Task ID:
task_1590670326852_0003_m_000000
URL:
http://0.0.0.0:8088/taskdetails.jsp?jobid=job_1590670326852_0003&tipid=task_1590670326852_0003_m_000000
-----
Diagnostic Messages for this Task:
[2020-05-29 14:47:40.355]Exception from container-launch.
Container id: container_1590670326852_0003_01_000005
Exit code: 1
[2020-05-29 14:47:40.360]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
Error: Could not find or load main class 1600
[2020-05-29 14:47:40.361]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
Error: Could not find or load main class 1600
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:
Stage-Stage-1: Map: 1 Reduce: 1 HDFS Read: 0 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 0 msec
hive>
Below are few lines from Hadoop logs.
2020-05-29 14:47:28,262 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2020-05-29 14:47:28,262 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: Diagnostics report from attempt_1590670326852_0003_m_000000_0: [2020-05-29 14:47:27.559]Exception from container-launch.
Container id: container_1590670326852_0003_01_000002
Exit code: 1
[2020-05-29 14:47:27.565]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
Error: Could not find or load main class 1600
[2020-05-29 14:47:27.566]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
Error: Could not find or load main class 1600
I have tried all the configuration changes suggested in different threads but its not working.
I have also checked Hadoop MapReduce example of WordCount and it also fails with same error.
All Hadoop processes seems running fine. Output of jps command.
9473 NodeManager
11798 Jps
9096 ResourceManager
8554 DataNode
8331 NameNode
8827 SecondaryNameNode
Please suggest how to resolve this error.
It looks like the start command of the MapReduce task contains an illegal option 1600. You need to check whether exists an illegal configuration yarn.app.mapreduce.am.command-opts with a value of 1600 in your yarn-site.xml.
Tweets from twitter are stored in hdfs in hadoop.
The tweets need to be processed for sentiment analysis. The tweets in hdfs are in avro format so they need to be processed using Json loader But in pig scripting the tweets from hdfs are not getting read.After changing jar files the pig script is showing failed message
By using these following jar files by pig script is getting failed.
REGISTER '/home/cloudera/Desktop/elephant-bird-hadoop-compat-4.17.jar';
REGISTER '/home/cloudera/Desktop/elephant-bird-pig-4.17.jar';
REGISTER '/home/cloudera/Desktop/json-simple-3.1.0.jar';
These are another set of jar files with which its not failing but data is also not getting read.
REGISTER '/home/cloudera/Desktop/elephant-bird-hadoop-compat-4.17.jar';
REGISTER '/home/cloudera/Desktop/elephant-bird-pig-4.17.jar';
REGISTER '/home/cloudera/Desktop/json-simple-1.1.jar';
Here is all my pig scripting commands i have used:
tweets = LOAD '/user/cloudera/OutputData/tweets' USING com.twitter.elephantbird.pig.load.JsonLoader('-nestedLoad') AS myMap;
B = FOREACH tweets GENERATE myMap#'id' as id ,myMap#'tweets' as tweets;
tokens = foreach B generate id, tweets, FLATTEN(TOKENIZE(tweets)) As word;
dictionary = load ' /user/cloudera/OutputData/AFINN.txt' using PigStorage('\t') AS(word:chararray,rating:int);
word_rating = join tokens by word left outer, dictionary by word using 'replicated';
describe word_rating;
rating = foreach word_rating generate tokens::id as id,tokens::tweets as tweets, dictionary::rating as rate;
word_group = group rating by (id,tweets);
avg_rate = foreach word_group generate group, AVG(rating.rate) as tweet_rating;
positive_tweets = filter avg_rate by tweet_rating>=0;
DUMP positive_tweets;
negative_tweets = filter avg_rate by tweet_rating<=0;
DUMP negative_tweets;
Error on dumping above tweets command for the first set of jar files:
Input(s):
Failed to read data from "/user/cloudera/OutputData/tweets"
Output(s):
Failed to produce result in "hdfs://quickstart.cloudera:8020/tmp/temp-1614543351/tmp37889715"
Counters:
Total records written : 0
Total bytes written : 0
Spillable Memory Manager spill count : 0
Total bags proactively spilled: 0
Total records proactively spilled: 0
Job DAG:
job_1556902124324_0001
2019-05-03 09:59:09,409 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Failed!
2019-05-03 09:59:09,427 [main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1066: Unable to open iterator for alias tweets. Backend error : org.json.simple.parser.ParseException
Details at logfile: /home/cloudera/pig_1556902594207.log
Error on dumping above tweets command for the second set of jar files:
Input(s):
Successfully read 0 records (5178477 bytes) from: "/user/cloudera/OutputData/tweets"
Output(s):
Successfully stored 0 records in: "hdfs://quickstart.cloudera:8020/tmp/temp-1614543351/tmp479037703"
Counters:
Total records written : 0
Total bytes written : 0
Spillable Memory Manager spill count : 0
Total bags proactively spilled: 0
Total records proactively spilled: 0
Job DAG:
job_1556902124324_0002
2019-05-03 10:01:05,417 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Success!
2019-05-03 10:01:05,418 [main] INFO org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is deprecated. Instead, use fs.defaultFS
2019-05-03 10:01:05,418 [main] INFO org.apache.pig.data.SchemaTupleBackend - Key [pig.schematuple] was not set... will not generate code.
2019-05-03 10:01:05,428 [main] INFO org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 1
2019-05-03 10:01:05,428 [main] INFO org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 1
Expected output was sorted positive and neative tweets but getting errors.
Please do help. Thank you.
ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1066: Unable to open iterator for alias tweets. Backend error : org.json.simple.parser.ParseException This usually indicates a syntax error in the Pig script.
The AS keyword in a LOAD statement usually require a schema. myMap in your LOAD statement is not a valid schema.
See https://stackoverflow.com/a/12829494/8886552 for an example of JsonLoader.
I am using CDH 5.9, while executing following hive query it is throwing error. Any idea about the issue?
For normal select query its working but for complex query it results failure.
hive> select * from table where dt='22-01-2017' and field like '%xyz%' limit 10;
Query ID = hdfs_20170123200303_44a9c423-4bb3-4f80-ade4-b1312971eb63
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_201701131637_0067, Tracking URL = http://cdhum03.temp-dsc-updates.bms.bz:50030/jobdetails.jsp?jobid=job_201701131637_0067
Kill Command = /usr/lib/hadoop/bin/hadoop job -kill job_201701131637_0067
Hadoop job information for Stage-1: number of mappers: 6; number of reducers: 0
2017-01-23 20:05:46,563 Stage-1 map = 100%, reduce = 100%
Ended Job = job_201701131637_0067 with errors
Error during job, obtaining debugging information...
Job Tracking URL: http://cdhum03.temp-dsc-updates.bms.bz:50030/jobdetails.jsp?jobid=job_201701131637_0067
Examining task ID: task_201701131637_0067_m_000007 (and more) from job job_201701131637_0067
Examining task ID: task_201701131637_0067_r_000000 (and more) from job job_201701131637_0067
Task with the most failures(4):
-----
Task ID:
task_201701131637_0067_m_000006
URL:
http://cdhum03.temp-dsc-updates.bms.bz:50030/taskdetails.jsp?jobid=job_201701131637_0067&tipid=task_201701131637_0067_m_000006
-----
Diagnostic Messages for this Task:
java.lang.Throwable: Child Error
at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:250)
Caused by: java.io.IOException: Task process exit with nonzero status of 126.
at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:237)
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:
Stage-Stage-1: Map: 6 HDFS Read: 0 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 0 msec
Thanks.
Please check your data size as your job needs more space for logs but the jvm are less please scale your cluster or use specific query as you are using -
select * from table where dt='22-01-2017' and field like '%xyz%' limit 10
, as '%xyz%' will check whole data better to use specific requirement.
Else drop your table and create a new partitioned table with date as a partition column.
Below is my requirement:
Input:
0104919 ,08476,48528,2016,2016-08-29
00104919 ,08476,48528,2016,2016-09-05
00104919 ,08476,48528,2016,2016-09-12
00104919 ,08476,48528,2017,2016-08-29
Output after join should be:
2,00104919 ,08476,48528,2016,2016-09-05,2016-09-12
3,00104919 ,08476,48528,2016,2016-09-12,2016-08-29
Below is my code:
TABL = LOAD '/TABL/part-r-00000' using PigStorage('~') AS (a,b,c,d,e,f);
pre_Q1 = FOREACH TABL generate a,b,c,d,e;
DIST = DISTINCT pre_Q1;
ORDR = ORDER DIST BY *;
Q1 = rank ORDR;
Q2 = FOREACH Q1 GENERATE rank_ORDR + 1 AS rank_Q2, a, b, c, d, e;
Q_join = join Q2 by (rank_Q2, a, b, c, d), Q1 by (rank_ORDR, a, b, c, d);
C = limit Q_join 100;
dump C;
I am getting the below error.
Can someone point out what must be causing the below error.
Failed Jobs:
JobId Alias Feature Message Outputs
job_1474127474437_528208 C,Q2,Q_join HASH_JOIN Message: Job failed!
Input(s):
Successfully read 5235587 records (1516199217 bytes) from: "/TABL/part-r-00000"
Output(s):
Counters:
Total records written : 0
Total bytes written : 0
Spillable Memory Manager spill count : 0
Total bags proactively spilled: 0
Total records proactively spilled: 0
Job DAG:
job_1474127474437_528166 -> job_1474127474437_528185,
job_1474127474437_528185 -> job_1474127474437_528190,
job_1474127474437_528190 -> job_1474127474437_528204,
job_1474127474437_528204 -> job_1474127474437_528206,
job_1474127474437_528206 -> job_1474127474437_528208,
job_1474127474437_528208 -> null,
null
2017-01-04 04:02:37,407 [main] INFO org.apache.hadoop.mapred.ClientServiceDelegate - Application state is completed. FinalApplicationStatus=SUCCEEDED. Redirecting to job history server
2017-01-04 04:02:37,569 [main] INFO org.apache.hadoop.mapred.ClientServiceDelegate - Application state is completed. FinalApplicationStatus=SUCCEEDED. Redirecting to job history server
2017-01-04 04:02:37,729 [main] INFO org.apache.hadoop.mapred.ClientServiceDelegate - Application state is completed. FinalApplicationStatus=SUCCEEDED. Redirecting to job history server
2017-01-04 04:02:37,887 [main] INFO org.apache.hadoop.mapred.ClientServiceDelegate - Application state is completed. FinalApplicationStatus=SUCCEEDED. Redirecting to job history server
2017-01-04 04:02:37,945 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Some jobs have failed! Stop running all dependent jobs
2017-01-04 04:02:37,945 [main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1066: Unable to open iterator for alias C
Details at logfile: /var/log/gphd/pig/pig.log
Try to modify the first line as below :
TABL = LOAD '/TABL/part-r-00000' using PigStorage(',') AS (a,b,c,d,e,f);
And watch out to the space at the end of the column a, it may affect the join !
I am running Cassandra and have about 20k records in it to play with. I am trying to run a filter in pig on this data but am getting the following message back:
2015-07-23 13:02:23,559 [Thread-4] WARN org.apache.hadoop.mapred.LocalJobRunner - job_local_0001
java.lang.RuntimeException: com.datastax.driver.core.exceptions.InvalidQueryException: Expected 8 or 0 byte long (1)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigRecordReader.initNextRecordReader(PigRecordReader.java:260)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigRecordReader.nextKeyValue(PigRecordReader.java:205)
at org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.nextKeyValue(MapTask.java:532)
at org.apache.hadoop.mapreduce.MapContext.nextKeyValue(MapContext.java:67)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:143)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:212)
Caused by: com.datastax.driver.core.exceptions.InvalidQueryException: Expected 8 or 0 byte long (1)
at com.datastax.driver.core.exceptions.InvalidQueryException.copy(InvalidQueryException.java:35)
at com.datastax.driver.core.DefaultResultSetFuture.extractCauseFromExecutionException(DefaultResultSetFuture.java:263)
at com.datastax.driver.core.DefaultResultSetFuture.getUninterruptibly(DefaultResultSetFuture.java:179)
at com.datastax.driver.core.AbstractSession.execute(AbstractSession.java:52)
at com.datastax.driver.core.AbstractSession.execute(AbstractSession.java:44)
at org.apache.cassandra.hadoop.cql3.CqlRecordReader$RowIterator.(CqlRecordReader.java:259)
at org.apache.cassandra.hadoop.cql3.CqlRecordReader.initialize(CqlRecordReader.java:151)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigRecordReader.initNextRecordReader(PigRecordReader.java:256)
... 7 more
You would think this is an obvious error, and believe me there are a ton of results on google for this. It's clear that some piece of my data isn't conforming to the expected type of a given column. What I don't understand is 1.) why this is happening, and 2.) how to debug it. If I try to insert invalid data into Cassandra from my nodejs app, it will throw this kind of error if my data type doesn't match the columns data type, which means that this shouldn't be possible? I've read that data validation using UTF8 is wonky and that setting a different kind of validation is the answer, but I don't know how to do that. Here are my steps to reproduce:
grunt> define CqlNativeStorage org.apache.cassandra.hadoop.pig.CqlNativeStorage();
grunt> test = load 'cql://blah/blahblah' USING CqlNativeStorage();
grunt> describe test;
13:09:54.544 [main] DEBUG o.a.c.hadoop.pig.CqlNativeStorage - Found ksDef name: blah
13:09:54.544 [main] DEBUG o.a.c.hadoop.pig.CqlNativeStorage - partition keys: ["ad_id"]
13:09:54.544 [main] DEBUG o.a.c.hadoop.pig.CqlNativeStorage - cluster keys: []
13:09:54.544 [main] DEBUG o.a.c.hadoop.pig.CqlNativeStorage - row key validator: org.apache.cassandra.db.marshal.UTF8Type
13:09:54.544 [main] DEBUG o.a.c.hadoop.pig.CqlNativeStorage - cluster key validator: org.apache.cassandra.db.marshal.CompositeType(org.apache.cassandra.db.marshal.UTF8Type)
blahblah: {ad_id: chararray,address: chararray,city: chararray,date_created: long,date_listed: long,fireplace: bytearray,furnished: bytearray,garage: bytearray,neighbourhood: chararray,num_bathrooms: int,num_bedrooms: int,pet_friendly: bytearray,postal_code: chararray,price: double,province: chararray,square_feet: int,url: chararray,utilities_included: bytearray}
grunt> query1 = FILTER blahblah BY city == 'New York';
grunt> dump query1;
Then it runs for awhile and dumps out tons of logs and the error appears.
Discovered my problem: the pig partioner did not match CQL3, and therefore the data was being parsed incorrectly. Previously the environment variable was PIG_PARTITIONER=org.apache.cassandra.dht.RandomPartitioner. After I changed it to PIG_PARTITIONER=org.apache.cassandra.dht.Murmur3Partitioner it started working.