Related
I am trying to do following Step1 to Step4 in pig:
STEP 1:- Create a user table:and take data from /tmp/users.txt-
|Column 1 | USER ID |int|
|Column 2 |EMAIL|chararray|
|Column 3 |LANGUAGE |chararray|
|Column 4 |LOCATION |chararray|
STEP 2:- Crate a transaction table and take data from /tmp/transaction.txt:-
|Column 1 | ID |int|
|Column 2 |PRODUCT|int|
|Column 3 |USER ID |int|
|Column 4 |PURCHASE AMOUNT |double|
|Coulmn 5 |DESCRIPTION |chararray|
Step 3:- Find out the count of each product in distinctive Locations.
Step 4:- Display the results.
For achieving above I did the following :
users = LOAD '/tmp/users.txt' USING PigStorage(',') AS (USERID:int, EMAIL:chararray, LANGUAGE:chararray, LOCATION: chararray);
trans = LOAD '/tmp/transaction.txt' USING PigStorage(',') AS (ID:int, PRODUCT:int, USERID:int, PURCHASEAMOUNT: double, DESCRIPTION: chararray);
users_trans = JOIN users BY USERID RIGHT, trans BY USERID;
B = GROUP users_trans BY (DESCRIPTION,LOCATION);
C = FOREACH B GENERATE group as comb, COUNT(users_trans) AS Total;
DUMP C;
But, I am getting errors.. It will helpful if you assist as I am new to pig.
##########################################
Dataset
user.txt
1 creator#gmail.com EN US
2 creator#gmail.com EN GB
3 creator#gmail.com FR FR
4 creator#gmail.com IN HN
5 creator#gmail.com PAK IS
transaction.txt
1 1 1 300 a jumper
2 1 2 300 a jumper
3 1 5 300 a jumper
4 2 3 100 a rubber chicken
5 1 3 300 a jumper
6 5 4 500 a soapbox
7 3 3 200 a adhesive
8 4 1 300 a lotion
9 4 4 500 a sweater
10 5 4 600 a jeans
Error Log:
2019-12-27 06:17:22,180 [LocalJobRunner Map Task Executor #0] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigRecordReader - Current split being processed file:/tmp/temp2029752934/tmp-883821114/part-r-00000:0+130
2019-12-27 06:17:22,242 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - (EQUATOR) 0 kvi 26214396(104857584)
2019-12-27 06:17:22,242 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - mapreduce.task.io.sort.mb: 100
2019-12-27 06:17:22,242 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - soft limit at 83886080
2019-12-27 06:17:22,242 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - bufstart = 0; bufvoid = 104857600
2019-12-27 06:17:22,242 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - kvstart = 26214396; length = 6553600
2019-12-27 06:17:22,244 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
2019-12-27 06:17:22,248 [LocalJobRunner Map Task Executor #0] INFO org.apache.pig.impl.util.SpillableMemoryManager - Selected heap (PS Old Gen) of size 699400192 to monitor. collectionUsageThreshold = 489580128, usageThreshold = 489580128
2019-12-27 06:17:22,248 [LocalJobRunner Map Task Executor #0] WARN org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2019-12-27 06:17:22,250 [LocalJobRunner Map Task Executor #0] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Map - Aliases being processed per job phase (AliasName[line,offset]): M: C[7,4],B[6,4] C: C[7,4],B[6,4] R: C[7,4]
2019-12-27 06:17:22,254 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.LocalJobRunner -
2019-12-27 06:17:22,254 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - Starting flush of map output
2019-12-27 06:17:22,254 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - Spilling map output
2019-12-27 06:17:22,254 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - bufstart = 0; bufend = 100; bufvoid = 104857600
2019-12-27 06:17:22,254 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - kvstart = 26214396(104857584); kvend = 26214360(104857440); length = 37/6553600
2019-12-27 06:17:22,262 [LocalJobRunner Map Task Executor #0] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine - Aliases being processed per job phase (AliasName[line,offset]): M: C[7,4],B[6,4] C: C[7,4],B[6,4] R: C[7,4]
2019-12-27 06:17:22,264 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.MapTask - Finished spill 0
2019-12-27 06:17:22,265 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.Task - Task:attempt_local1424814286_0002_m_000000_0 is done. And is in the process of committing
2019-12-27 06:17:22,266 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.LocalJobRunner -map
2019-12-27 06:17:22,266 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.Task - Task 'attempt_local1424814286_0002_m_000000_0' done.
2019-12-27 06:17:22,266 [LocalJobRunner Map Task Executor #0] INFO org.apache.hadoop.mapred.LocalJobRunner -Finishing task: attempt_local1424814286_0002_m_000000_0
2019-12-27 06:17:22,266 [Thread-18] INFO org.apache.hadoop.mapred.LocalJobRunner - map task executor complete.
2019-12-27 06:17:22,266 [Thread-18] INFO org.apache.hadoop.mapred.LocalJobRunner - Waiting for reduce tasks
2019-12-27 06:17:22,267 [pool-9-thread-1] INFO org.apache.hadoop.mapred.LocalJobRunner - Starting task: attempt_local1424814286_0002_r_000000_0
2019-12-27 06:17:22,272 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter - File Output Committer Algorithm version is 1
2019-12-27 06:17:22,272 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter - FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
2019-12-27 06:17:22,274 [pool-9-thread-1] INFO org.apache.hadoop.mapred.Task - Using ResourceCalculatorProcessTree : [ ]
2019-12-27 06:17:22,274 [pool-9-thread-1] INFO org.apache.hadoop.mapred.ReduceTask - Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle#2582aa54
2019-12-27 06:17:22,275 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl - MergerManager: memoryLimit=652528832, maxSingleShuffleLimit=163132208, mergeThreshold=430669056, ioSortFactor=10, memToMemMergeOutputsThreshold=10
2019-12-27 06:17:22,275 [EventFetcher for fetching Map Completion Events] INFO org.apache.hadoop.mapreduce.task.reduce.EventFetcher - attempt_local1424814286_0002_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events
2019-12-27 06:17:22,276 [localfetcher#2] INFO org.apache.hadoop.mapreduce.task.reduce.LocalFetcher - localfetcher#2 about to shuffle output of map attempt_local1424814286_0002_m_000000_0 decomp: 14 len: 18 to MEMORY
2019-12-27 06:17:22,277 [localfetcher#2] INFO org.apache.hadoop.mapreduce.task.reduce.InMemoryMapOutput - Read 14 bytes from map-output for attempt_local1424814286_0002_m_000000_0
2019-12-27 06:17:22,277 [localfetcher#2] INFO org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl - closeInMemoryFile -> map-output of size: 14, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->14
2019-12-27 06:17:22,277 [EventFetcher for fetching Map Completion Events] INFO org.apache.hadoop.mapreduce.task.reduce.EventFetcher - EventFetcher is interrupted.. Returning
2019-12-27 06:17:22,278 [Readahead Thread #3] WARN org.apache.hadoop.io.ReadaheadPool - Failed readahead on ifile
EBADF: Bad file descriptor
at org.apache.hadoop.io.nativeio.NativeIO$POSIX.posix_fadvise(Native Method)
at org.apache.hadoop.io.nativeio.NativeIO$POSIX.posixFadviseIfPossible(NativeIO.java:267)
at org.apache.hadoop.io.nativeio.NativeIO$POSIX$CacheManipulator.posixFadviseIfPossible(NativeIO.java:146)
at org.apache.hadoop.io.ReadaheadPool$ReadaheadRequestImpl.run(ReadaheadPool.java:208)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
2019-12-27 06:17:22,278 [pool-9-thread-1] INFO org.apache.hadoop.mapred.LocalJobRunner - 1 / 1 copied.
2019-12-27 06:17:22,280 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl - finalMerge called with 1 in-memory map-outputs and 0 on-disk map-outputs
2019-12-27 06:17:22,280 [pool-9-thread-1] INFO org.apache.hadoop.mapred.Merger - Merging 1 sorted segments
2019-12-27 06:17:22,280 [pool-9-thread-1] INFO org.apache.hadoop.mapred.Merger - Down to the last merge-pass, with 1 segments left of total size: 7 bytes
2019-12-27 06:17:22,281 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl - Merged 1 segments, 14 bytes to disk to satisfy reduce memory limit
2019-12-27 06:17:22,281 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl - Merging 1 files, 18 bytes from disk
2019-12-27 06:17:22,281 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl - Merging 0 segments, 0 bytes from memory into reduce
2019-12-27 06:17:22,281 [pool-9-thread-1] INFO org.apache.hadoop.mapred.Merger - Merging 1 sorted segments
2019-12-27 06:17:22,281 [pool-9-thread-1] INFO org.apache.hadoop.mapred.Merger - Down to the last merge-pass, with 1 segments left of total size: 7 bytes
2019-12-27 06:17:22,282 [pool-9-thread-1] INFO org.apache.hadoop.mapred.LocalJobRunner - 1 / 1 copied.
2019-12-27 06:17:22,283 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter - File Output Committer Algorithm version is 1
2019-12-27 06:17:22,283 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter - FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
2019-12-27 06:17:22,284 [pool-9-thread-1] INFO org.apache.pig.impl.util.SpillableMemoryManager - Selected heap (PS Old Gen) of size 699400192 to monitor. collectionUsageThreshold = 489580128, usageThreshold = 489580128
2019-12-27 06:17:22,285 [pool-9-thread-1] WARN org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2019-12-27 06:17:22,286 [pool-9-thread-1] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce - Aliases being processed per job phase (AliasName[line,offset]): M: C[7,4],B[6,4] C: C[7,4],B[6,4] R: C[7,4]
2019-12-27 06:17:22,287 [pool-9-thread-1] INFO org.apache.hadoop.mapred.Task - Task:attempt_local1424814286_0002_r_000000_0 is done. And is in the process of committing
2019-12-27 06:17:22,289 [pool-9-thread-1] INFO org.apache.hadoop.mapred.LocalJobRunner - 1 / 1 copied.
2019-12-27 06:17:22,289 [pool-9-thread-1] INFO org.apache.hadoop.mapred.Task - Task attempt_local1424814286_0002_r_000000_0 is allowed to commit now
2019-12-27 06:17:22,292 [pool-9-thread-1] INFO org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter - Saved output of task 'attempt_local1424814286_0002_r_000000_0' to file:/tmp/temp2029752934/tmp726323435/_temporary/0/task_local1424814286_0002_r_000000
2019-12-27 06:17:22,292 [pool-9-thread-1] INFO org.apache.hadoop.mapred.LocalJobRunner - reduce > reduce
2019-12-27 06:17:22,292 [pool-9-thread-1] INFO org.apache.hadoop.mapred.Task - Task 'attempt_local1424814286_0002_r_000000_0' done.
2019-12-27 06:17:22,292 [pool-9-thread-1] INFO org.apache.hadoop.mapred.LocalJobRunner - Finishing task: attempt_local1424814286_0002_r_000000_0
2019-12-27 06:17:22,292 [Thread-18] INFO org.apache.hadoop.mapred.LocalJobRunner - reduce task executor complete.
2019-12-27 06:17:22,460 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - HadoopJobId: job_local1424814286_0002
2019-12-27 06:17:22,460 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Processing aliases B,C
2019-12-27 06:17:22,460 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - detailed locations: M: C[7,4],B[6,4] C: C[7,4],B[6,4] R: C[7,4]
2019-12-27 06:17:22,463 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metricswith processName=JobTracker, sessionId= - already initialized
2019-12-27 06:17:22,464 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metricswith processName=JobTracker, sessionId= - already initialized
2019-12-27 06:17:22,465 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metricswith processName=JobTracker, sessionId= - already initialized
2019-12-27 06:17:22,471 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - 100% complete
2019-12-27 06:17:22,474 [main] INFO org.apache.pig.tools.pigstats.mapreduce.SimplePigStats - Script Statistics:
HadoopVersion PigVersion UserId StartedAt FinishedAt Features
2.9.2 0.16.0 root 2019-12-27 06:17:20 2019-12-27 06:17:22 HASH_JOIN,GROUP_BY
Success!
Job Stats (time in seconds):
JobId Maps Reduces MaxMapTime MinMapTime AvgMapTime MedianMapTime MaxReduceTime MinReduceTime AvgReduceTime MedianReducetime Alias Feature Outputs
job_local1289071959_0001 2 1 n/a n/a n/a n/a n/a n/a n/a n/a trans,users,users_trans HASH_JOIN
job_local1424814286_0002 1 1 n/a n/a n/a n/a n/a n/a n/a n/a B,C GROUP_BY,COMBINER file:/tmp/temp2029752934/tmp726323435,
Input(s):
Successfully read 5 records from: "/tmp/users.txt"
Successfully read 10 records from: "/tmp/transaction.txt"
Output(s):
Successfully stored 1 records in: "file:/tmp/temp2029752934/tmp726323435"
Counters:
Total records written : 1
Total bytes written : 0
Spillable Memory Manager spill count : 0
Total bags proactively spilled: 0
Total records proactively spilled: 0
Job DAG:
job_local1289071959_0001 -> job_local1424814286_0002,
job_local1424814286_0002
2019-12-27 06:17:22,475 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metricswith processName=JobTracker, sessionId= - already initialized
2019-12-27 06:17:22,476 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metricswith processName=JobTracker, sessionId= - already initialized
2019-12-27 06:17:22,477 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metricswith processName=JobTracker, sessionId= - already initialized
2019-12-27 06:17:22,485 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metricswith processName=JobTracker, sessionId= - already initialized
2019-12-27 06:17:22,486 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metricswith processName=JobTracker, sessionId= - already initialized
2019-12-27 06:17:22,487 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metricswith processName=JobTracker, sessionId= - already initialized
2019-12-27 06:17:22,492 [main] WARN org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Encountered Warning FIELD_DISCARDED_TYPE_CONVERSION_FAILED 15 time(s).
2019-12-27 06:17:22,493 [main] WARN org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Encountered Warning ACCESSING_NON_EXISTENT_FIELD 55 time(s).
2019-12-27 06:17:22,493 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Success!
2019-12-27 06:17:22,496 [main] INFO org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is deprecated. Instead, use fs.defaultFS
2019-12-27 06:17:22,496 [main] WARN org.apache.pig.data.SchemaTupleBackend - SchemaTupleBackend has already been initialized
2019-12-27 06:17:22,503 [main] INFO org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input files to process : 1
2019-12-27 06:17:22,503 [main] INFO org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 1
2019-12-27 06:17:22,541 [main] INFO org.apache.pig.Main - Pig script completed in 2 seconds and 965 milliseconds (2965 ms)
Advice
First of all: It seems that you are starting up with Pig. It may be valuable to know that Cloudera recently decided to deprecate Pig. It will of course not cease to exist, but think twice if you are planning to pick up a new skill or implement new use cases. I would recommend looking into Hive/Spark/Impala as more future proof alternatives.
Answer
Your job succeeds, but presumably not with output you want. There are several hints to what may be wrong (data types/field names) however this does not point at a specific problem in the code.
My recommendation would be to find out where the problem exactly occurs. Simply cut off the end of your code and print an intermediate result to see if you are still on track.
In the (likely) event you have a problem in your load statement already, it is worth noting that you can still narrow it down further. First load, and then apply the schema.
Given the data you have, first problem would be that you have no commas, so you must load the lines as a whole, then split them later. I used two or more spaces in the transactions file because your last column appears to be one string containing spaces. For accuracy, I suggest having a better delimiter than spaces/tabs.
Then the group by needs to reference the relations that the data comes from.
Everything else is fine, I think, though I'm not sure about the COUNT(X)
A = LOAD '/tmp/users.txt' USING PigStorage() as (line:chararray);
USERS = FOREACH A GENERATE FLATTEN(STRSPLIT(line, '\\s+')) AS (userid:int,email:chararray,language:chararray,location:chararray);
B = LOAD '/tmp/transactions.txt' USING PigStorage() as (line:chararray);
TRANS = FOREACH B GENERATE FLATTEN(STRSPLIT(line, '\\s\\s+')) AS (id:int,product:int,userid:int,purchase:double,desc:chararray);
X = JOIN USERS BY userid RIGHT, TRANS BY userid;
X_grouped = GROUP X BY (TRANS::desc, USERS::location);
RES = FOREACH X_grouped GENERATE group as comb, COUNT(X) AS Total;
\d RES;
Output
((a jeans,HN),1)
((a jumper,FR),1)
((a jumper,GB),1)
((a jumper,IS),1)
((a jumper,US),1)
((a lotion,US),1)
((a soapbox,HN),1)
((a sweater,HN),1)
((a adhesive,FR),1)
((a rubber chicken,FR),1)
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.
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 can open a avro file in HUE and HUE shows me it has 10 records. i can browse through all the 10 records in HUE.
Now I write the following code in PIG
data = LOAD '/user/admin/2015/10/04/02/file1.avro' USING AvroStorage();
data_group = GROUP data ALL;
row_count = FOREACH data_group GENERATE COUNT(data);
dump row_count;
The output of the job is
Input(s):
Successfully read 4 records (58507 bytes) from: "/user/admin/2015/10/04/02/file1.avro"
Output(s):
Successfully stored 1 records (6 bytes) in: "hdfs://nn1/tmp/temp-268177355/tmp915757783"
Counters:
Total records written : 1
Total bytes written : 6
Spillable Memory Manager spill count : 0
Total bags proactively spilled: 0
Total records proactively spilled: 0
Job DAG:
job_1438959478020_940907
2015-10-29 19:08:55,252 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Success!
2015-10-29 19:08:55,252 [main] INFO org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is deprecated. Instead, use fs.defaultFS
2015-10-29 19:08:55,253 [main] INFO org.apache.pig.data.SchemaTupleBackend - Key [pig.schematuple] was not set... will not generate code.
2015-10-29 19:08:55,261 [main] INFO org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 1
2015-10-29 19:08:55,261 [main] INFO org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 1
(4)
How did 10 become 4. Is there a different way to count the number of records in an avro file using PIG?
I have a pig script I got from Hortonworks that works fine with pig-0.9.2.15 with Hadoop-1.0.3.16. But when I run it with pig-0.12.1(recompiled with -Dhadoopversion=23) or pig-0.13.0 on Hadoop-2.4.0, it won't work.
It seems the following line is where the problem is.
max_runs = FOREACH grp_data GENERATE group as grp, MAX(runs.runs) as max_runs;
Here's the whole script.
batting = load 'pig_data/Batting.csv' using PigStorage(',');
runs = FOREACH batting GENERATE $0 as playerID, $1 as year, $8 as runs;
grp_data = GROUP runs by (year);
max_runs = FOREACH grp_data GENERATE group as grp, MAX(runs.runs) as max_runs;
join_max_run = JOIN max_runs by ($0, max_runs), runs by (year,runs);
join_data = FOREACH join_max_run GENERATE $0 as year, $2 as playerID, $1 as runs;
STORE join_data INTO './join_data';
And here's the hadoop error info:
2014-07-29 18:03:02,957 [main] ERROR
org.apache.pig.tools.pigstats.PigStats - ERROR 0:
org.apache.pig.backend.executionengine.ExecException: ERROR 0:
Exception while executing (Name: grp_data: Local
Rearrange[tuple]{bytearray}(false) - scope-34 Operator Key: scope-34):
org.apache.pig.backend.executionengine.ExecException: ERROR 2106:
Error executing an algebraic function 2014-07-29 18:03:02,958 [main]
ERROR org.apache.pig.tools.pigstats.mapreduce.MRPigStatsUtil - 1 map
reduce job(s) failed!
How can I fix this if I still want to use "MAX" function? Thank you!
Here's the complete information:
14/07/29 17:50:11 INFO pig.ExecTypeProvider: Trying ExecType : LOCAL
14/07/29 17:50:11 INFO pig.ExecTypeProvider: Trying ExecType :
MAPREDUCE 14/07/29 17:50:11 INFO pig.ExecTypeProvider: Picked
MAPREDUCE as the ExecType 2014-07-29 17:50:12,104 [main] INFO
org.apache.pig.Main - Apache Pig version 0.13.0 (r1606446) compiled
Jun 29 2014, 02:27:58 2014-07-29 17:50:12,104 [main] INFO
org.apache.pig.Main - Logging error messages to:
/root/hadooptestingsuite/scripts/tests/pig_test/hadoop2/pig_1406677812103.log
2014-07-29 17:50:13,050 [main] INFO org.apache.pig.impl.util.Utils -
Default bootup file /root/.pigbootup not found 2014-07-29 17:50:13,415
[main] INFO org.apache.hadoop.conf.Configuration.deprecation -
mapred.job.tracker is deprecated. Instead, use
mapreduce.jobtracker.address 2014-07-29 17:50:13,415 [main] INFO
org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is
deprecated. Instead, use fs.defaultFS 2014-07-29 17:50:13,415 [main]
INFO org.apache.pig.backend.hadoop.executionengine.HExecutionEngine -
Connecting to hadoop file system at:
hdfs://namenode.cmda.hadoop.com:8020 2014-07-29 17:50:14,302 [main]
INFO org.apache.pig.backend.hadoop.executionengine.HExecutionEngine -
Connecting to map-reduce job tracker at: namenode.cmda.hadoop.com:8021
2014-07-29 17:50:14,990 [main] INFO
org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is
deprecated. Instead, use fs.defaultFS 2014-07-29 17:50:15,570 [main]
INFO org.apache.hadoop.conf.Configuration.deprecation -
fs.default.name is deprecated. Instead, use fs.defaultFS 2014-07-29
17:50:15,665 [main] WARN org.apache.pig.newplan.BaseOperatorPlan -
Encountered Warning IMPLICIT_CAST_TO_DOUBLE 1 time(s). 2014-07-29
17:50:15,705 [main] INFO
org.apache.hadoop.conf.Configuration.deprecation -
mapred.textoutputformat.separator is deprecated. Instead, use
mapreduce.output.textoutputformat.separator 2014-07-29 17:50:15,791
[main] INFO org.apache.pig.tools.pigstats.ScriptState - Pig features
used in the script: HASH_JOIN,GROUP_BY 2014-07-29 17:50:15,873 [main]
INFO org.apache.pig.newplan.logical.optimizer.LogicalPlanOptimizer -
{RULES_ENABLED=[AddForEach, ColumnMapKeyPrune,
GroupByConstParallelSetter, LimitOptimizer, LoadTypeCastInserter,
MergeFilter, MergeForEach, PartitionFilterOptimizer,
PushDownForEachFlatten, PushUpFilter, SplitFilter,
StreamTypeCastInserter],
RULES_DISABLED=[FilterLogicExpressionSimplifier]} 2014-07-29
17:50:16,319 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler
- File concatenation threshold: 100 optimistic? false 2014-07-29 17:50:16,377 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.CombinerOptimizer
- Choosing to move algebraic foreach to combiner 2014-07-29 17:50:16,410 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler$LastInputStreamingOptimizer
- Rewrite: POPackage->POForEach to POPackage(JoinPackager) 2014-07-29 17:50:16,417 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer
- MR plan size before optimization: 3 2014-07-29 17:50:16,418 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer
- Merged 1 map-reduce splittees. 2014-07-29 17:50:16,418 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer
- Merged 1 out of total 3 MR operators. 2014-07-29 17:50:16,418 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer
- MR plan size after optimization: 2 2014-07-29 17:50:16,493 [main] INFO org.apache.hadoop.conf.Configuration.deprecation -
fs.default.name is deprecated. Instead, use fs.defaultFS 2014-07-29
17:50:16,575 [main] INFO org.apache.hadoop.yarn.client.RMProxy -
Connecting to ResourceManager at
namenode.cmda.hadoop.com/10.0.3.1:8050 2014-07-29 17:50:16,973 [main]
INFO org.apache.pig.tools.pigstats.mapreduce.MRScriptState - Pig
script settings are added to the job 2014-07-29 17:50:17,007 [main]
INFO org.apache.hadoop.conf.Configuration.deprecation -
mapred.job.reduce.markreset.buffer.percent is deprecated. Instead, use
mapreduce.reduce.markreset.buffer.percent 2014-07-29 17:50:17,007
[main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler
- mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3 2014-07-29 17:50:17,007 [main] INFO
org.apache.hadoop.conf.Configuration.deprecation -
mapred.output.compress is deprecated. Instead, use
mapreduce.output.fileoutputformat.compress 2014-07-29 17:50:17,020
[main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler
- Reduce phase detected, estimating # of required reducers. 2014-07-29 17:50:17,020 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler
- Using reducer estimator: org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
2014-07-29 17:50:17,064 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator
- BytesPerReducer=1000000000 maxReducers=999 totalInputFileSize=6398990 2014-07-29 17:50:17,067 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler
- Setting Parallelism to 1 2014-07-29 17:50:17,067 [main] INFO org.apache.hadoop.conf.Configuration.deprecation - mapred.reduce.tasks
is deprecated. Instead, use mapreduce.job.reduces 2014-07-29
17:50:17,068 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler
- This job cannot be converted run in-process 2014-07-29 17:50:17,068 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler
- creating jar file Job2337803902169382273.jar 2014-07-29 17:50:20,957 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler
- jar file Job2337803902169382273.jar created 2014-07-29 17:50:20,957 [main] INFO org.apache.hadoop.conf.Configuration.deprecation -
mapred.jar is deprecated. Instead, use mapreduce.job.jar 2014-07-29
17:50:21,001 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler
- Setting up multi store job 2014-07-29 17:50:21,036 [main] INFO org.apache.pig.data.SchemaTupleFrontend - Key [pig.schematuple] is
false, will not generate code. 2014-07-29 17:50:21,036 [main] INFO
org.apache.pig.data.SchemaTupleFrontend - Starting process to move
generated code to distributed cacche 2014-07-29 17:50:21,046 [main]
INFO org.apache.pig.data.SchemaTupleFrontend - Setting key
[pig.schematuple.classes] with classes to deserialize [] 2014-07-29
17:50:21,310 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- 1 map-reduce job(s) waiting for submission. 2014-07-29 17:50:21,311 [main] INFO org.apache.hadoop.conf.Configuration.deprecation -
mapred.job.tracker.http.address is deprecated. Instead, use
mapreduce.jobtracker.http.address 2014-07-29 17:50:21,332 [JobControl]
INFO org.apache.hadoop.yarn.client.RMProxy - Connecting to
ResourceManager at namenode.cmda.hadoop.com/10.0.3.1:8050 2014-07-29
17:50:21,366 [JobControl] INFO
org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is
deprecated. Instead, use fs.defaultFS 2014-07-29 17:50:22,606
[JobControl] INFO
org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input
paths to process : 1 2014-07-29 17:50:22,606 [JobControl] INFO
org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total
input paths to process : 1 2014-07-29 17:50:22,629 [JobControl] INFO
org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total
input paths (combined) to process : 1 2014-07-29 17:50:22,729
[JobControl] INFO org.apache.hadoop.mapreduce.JobSubmitter - number
of splits:1 2014-07-29 17:50:22,745 [JobControl] INFO
org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is
deprecated. Instead, use fs.defaultFS 2014-07-29 17:50:23,026
[JobControl] INFO org.apache.hadoop.mapreduce.JobSubmitter -
Submitting tokens for job: job_1406677482986_0003 2014-07-29
17:50:23,258 [JobControl] INFO
org.apache.hadoop.yarn.client.api.impl.YarnClientImpl - Submitted
application application_1406677482986_0003 2014-07-29 17:50:23,340
[JobControl] INFO org.apache.hadoop.mapreduce.Job - The url to track
the job:
http://namenode.cmda.hadoop.com:8088/proxy/application_1406677482986_0003/
2014-07-29 17:50:23,340 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- HadoopJobId: job_1406677482986_0003 2014-07-29 17:50:23,340 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- Processing aliases batting,grp_data,max_runs,runs 2014-07-29 17:50:23,340 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- detailed locations: M: batting[3,10],runs[5,7],max_runs[7,11],grp_data[6,11] C:
max_runs[7,11],grp_data[6,11] R: max_runs[7,11] 2014-07-29
17:50:23,340 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- More information at: http://namenode.cmda.hadoop.com:50030/jobdetails.jsp?jobid=job_1406677482986_0003
2014-07-29 17:50:23,357 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- 0% complete 2014-07-29 17:50:23,357 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- Running jobs are [job_1406677482986_0003] 2014-07-29 17:51:15,564 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- 50% complete 2014-07-29 17:51:15,564 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- Running jobs are [job_1406677482986_0003] 2014-07-29 17:51:18,582 [main] WARN
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- Ooops! Some job has failed! Specify -stop_on_failure if you want Pig to stop immediately on failure. 2014-07-29 17:51:18,582 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- job job_1406677482986_0003 has failed! Stop running all dependent jobs 2014-07-29 17:51:18,582 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- 100% complete 2014-07-29 17:51:18,825 [main] ERROR org.apache.pig.tools.pigstats.PigStats - ERROR 0:
org.apache.pig.backend.executionengine.ExecException: ERROR 0:
Exception while executing (Name: grp_data: Local
Rearrange[tuple]{bytearray}(false) - scope-73 Operator Key: scope-73):
org.apache.pig.backend.executionengine.ExecException: ERROR 2106:
Error executing an algebraic function 2014-07-29 17:51:18,825 [main]
ERROR org.apache.pig.tools.pigstats.mapreduce.MRPigStatsUtil - 1 map
reduce job(s) failed! 2014-07-29 17:51:18,826 [main] INFO
org.apache.pig.tools.pigstats.mapreduce.SimplePigStats - Script
Statistics:
HadoopVersion PigVersion UserId StartedAt FinishedAt Features
2.4.0 0.13.0 root 2014-07-29 17:50:16 2014-07-29 17:51:18 HASH_JOIN,GROUP_BY
Failed!
Failed Jobs: JobId Alias Feature Message Outputs
job_1406677482986_0003 batting,grp_data,max_runs,runs MULTI_QUERY,COMBINER Message:
Job failed!
Input(s): Failed to read data from
"hdfs://namenode.cmda.hadoop.com:8020/user/root/pig_data/Batting.csv"
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_1406677482986_0003 -> null, null
2014-07-29 17:51:18,826 [main] INFO
org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher
- Failed! 2014-07-29 17:51:18,827 [main] ERROR org.apache.pig.tools.grunt.GruntParser - ERROR 2106: Error executing
an algebraic function Details at logfile:
/root/hadooptestingsuite/scripts/tests/pig_test/hadoop2/pig_1406677812103.log
2014-07-29 17:51:18,828 [main] ERROR
org.apache.pig.tools.grunt.GruntParser - ERROR 2244: Job scope-58
failed, hadoop does not return any error message Details at logfile:
/root/hadooptestingsuite/scripts/tests/pig_test/hadoop2/pig_1406677812103.log
try by casting MAX function
max_runs = FOREACH grp_data GENERATE group as grp, (int)MAX(runs.runs) as max_runs;
hope it will work
You should use data types in your load statement.
runs = FOREACH batting GENERATE $0 as playerID:chararray, $1 as year:int, $8 as runs:int;
If this doesn't help for some reason, try explicit casting.
max_runs = FOREACH grp_data GENERATE group as grp, MAX((int)runs.runs) as max_runs;
Thank both #BigData and #Mikko Kupsu for the hint. The issue does indeed have something to do the datatype casting.
After specifying the data type of each column as follows everything runs great.
batting =
LOAD '/user/root/pig_data/Batting.csv' USING PigStorage(',')
AS (playerID: CHARARRAY, yearID: INT, stint: INT, teamID: CHARARRAY, lgID: CHARARRAY,
G: INT, G_batting: INT, AB: INT, R: INT, H: INT, two_B: INT, three_B: INT, HR: INT, RBI: INT,
SB: INT, CS: INT, BB:INT, SO: INT, IBB: INT, HBP: INT, SH: INT, SF: INT, GIDP: INT, G_old: INT);