The Hortonworks Community Connection is now live. A completely rebuilt Q&A forum, Knowledge Base, Code Hub and more, backed by the experts in the industry.

You will be redirected here in 10 seconds. If your are not redirected, click here to visit the new site.

The legacy Hortonworks Forum is now closed. You can view a read-only version of the former site by clicking here. The site will be taken offline on January 31,2016

Pig Forum

Type and Division throwing error…

  • #54042
    Al Zyck
    Participant

    I’m using the 2.1 sandbox and trying to run the pig script below. When I do, it throws an error whenever I try to type cast an int to a double or if even if I just try to divide. The job runs for a few minutes and generates quite a few M/R success messages, then fails. I can’t figure out the issue or a work around…

    Query…
    records = LOAD ‘/user/DataSmart/chap3/GoodTweets.txt’ USING PigStorage(‘\t’) AS (tweet:chararray);
    A1 = FOREACH records GENERATE LOWER(tweet) as (a1tweet:chararray);
    A2 = FOREACH A1 GENERATE REPLACE(a1tweet, ‘\\. ‘, ‘ ‘) as (a2tweet:chararray);
    A3 = FOREACH A2 GENERATE REPLACE(a2tweet, ‘\\”‘, ”) as (a3tweet:chararray);
    A4 = FOREACH A3 GENERATE REPLACE(a3tweet, ‘\\?’, ”) as (a4tweet:chararray);
    A5 = FOREACH A4 GENERATE REPLACE(a4tweet, ‘: ‘, ‘ ‘) as (a5tweet:chararray);
    A6 = FOREACH A5 GENERATE REPLACE(a5tweet, ‘[!,;]’, ”) as (a6tweet:chararray);
    A7 = FOREACH A6 GENERATE REPLACE(a6tweet, ‘ ‘, ‘ ‘) as (a7tweet:chararray);
    A8 = FOREACH A7 GENERATE FLATTEN(TOKENIZE((chararray)$0)) as word;
    A9 = GROUP A8 by word;
    A10 = FILTER A9 BY SIZE($0) > 3;
    A11 = FOREACH A10 GENERATE ‘same’ AS key, COUNT(A8) + 1 as (myCount:int), group as (word:chararray);
    A12 = GROUP A11 All;
    A13 = FOREACH A12 GENERATE ‘same’ AS key, COUNT(A11.word) as (totalCount:int);
    –DUMP A13;
    A14 = JOIN A13 by key, A11 by key;
    –DESCRIBE A14;
    A15 = FILTER A14 BY (A11::myCount IS NOT NULL);
    A16 = FOREACH A15 GENERATE A11::myCount as myCount, A13::totalCount as totalCount, A11::word as (word:chararray);
    –DESCRIBE A16;
    calcProb = FOREACH A16 GENERATE (double)myCount as (probability:double);–, word;
    DUMP calcProb;

    Here are the error messages…
    2014-05-20 12:55:05,077 [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.
    2014-05-20 12:55:05,078 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher – job job_1400598648465_0136 has failed! Stop running all dependent jobs
    2014-05-20 12:55:05,079 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher – 100% complete
    2014-05-20 12:55:05,795 [main] ERROR org.apache.pig.tools.pigstats.SimplePigStats – ERROR 0: Exception while executing [POCast (Name: Cast[double] – scope-105 Operator Key: scope-105) children: [[POProject (Name: Project[int][0] – scope-104 Operator Key: scope-104) children: null at []]] at []]: java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Integer
    2014-05-20 12:55:05,796 [main] ERROR org.apache.pig.tools.pigstats.PigStatsUtil – 1 map reduce job(s) failed!
    2014-05-20 12:55:05,801 [main] INFO org.apache.pig.tools.pigstats.SimplePigStats – Script Statistics:

    HadoopVersion PigVersion UserId StartedAt FinishedAt Features
    2.4.0.2.1.1.0-385 0.12.1.2.1.1.0-385 yarn 2014-05-20 12:52:42 2014-05-20 12:55:05 HASH_JOIN,GROUP_BY,FILTER

  • Author
    Replies
  • #54045
    Al Zyck
    Participant

    Continuation of error message…

    Some jobs have failed! Stop running all dependent jobs

    Job Stats (time in seconds):
    JobId Maps Reduces MaxMapTime MinMapTIme AvgMapTime MedianMapTime MaxReduceTime MinReduceTime AvgReduceTime MedianReducetime Alias Feature Outputs
    job_1400598648465_0134 1 1 6 6 6 6 6 6 6 6 A1,A10,A11,A2,A3,A4,A5,A6,A7,A8,A9,records GROUP_BY,COMBINER
    job_1400598648465_0135 1 1 6 6 6 6 6 6 6 6 A12,A13 GROUP_BY,COMBINER

    Failed Jobs:
    JobId Alias Feature Message Outputs
    job_1400598648465_0136 A14,A15,A16,calcProb HASH_JOIN Message: Job failed! hdfs://sandbox.hortonworks.com:8020/tmp/temp-2061532534/tmp-1733357242,

    Input(s):
    Successfully read 150 records (18583 bytes) from: “/user/DataSmart/chap3/GoodTweets.txt”

    Output(s):
    Failed to produce result in “hdfs://sandbox.hortonworks.com:8020/tmp/temp-2061532534/tmp-1733357242”

    2014-05-20 12:55:12,643 [main] INFO org.apache.hadoop.ipc.Client – Retrying connect to server: sandbox.hortonworks.com/192.168.2.132:52746. Already tried 2 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=3, sleepTime=1000 MILLISECONDS)
    2014-05-20 12:55:12,751 [main] INFO org.apache.hadoop.mapred.ClientServiceDelegate – Application state is completed. FinalApplicationStatus=SUCCEEDED. Redirecting to job history server
    2014-05-20 12:55:12,943 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher – Some jobs have failed! Stop running all dependent jobs
    2014-05-20 12:55:13,069 [main] ERROR org.apache.pig.tools.grunt.Grunt – ERROR 1066: Unable to open iterator for alias calcProb. Backend error : Exception while executing [POCast (Name: Cast[double] – scope-105 Operator Key: scope-105) children: [[POProject (Name: Project[int][0] – scope-104 Operator Key: scope-104) children: null at []]] at []]: java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Integer
    Details at logfile: /hadoop/yarn/local/usercache/hue/appcache/application_1400598648465_0133/container_1400598648465_0133_01_000002/pig_1400615556922.log

    #56958
    Neo Kronic
    Participant

    I’m getting the same cast exception error from Long to Integer in Hive 12. I’m working on Sandbox 2.1 from hortonworks. did you find a solution ?

The forum ‘Pig’ is closed to new topics and replies.

Support from the Experts

A HDP Support Subscription connects you experts with deep experience running Apache Hadoop in production, at-scale on the most demanding workloads.

Enterprise Support »

Become HDP Certified

Real world training designed by the core architects of Hadoop. Scenario-based training courses are available in-classroom or online from anywhere in the world

Training »

Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Get started with Sandbox
Hortonworks Sandbox is a self-contained virtual machine with Apache Hadoop pre-configured alongside a set of hands-on, step-by-step Hadoop tutorials.
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.