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Pig, mail # user - runtime exception when load and store multiple files using avro in pig

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RE: runtime exception when load and store multiple files using avro in pig
Danfeng Li 2012-08-22, 00:47
Thanks, Cheolsoo. That solve my problems.

It will be nice if pig can do this automatically when there are multiple avrostorage in the code. Otherwise, we have to manually track the numbers.


-----Original Message-----
From: Cheolsoo Park [mailto:[EMAIL PROTECTED]]
Sent: Tuesday, August 21, 2012 5:06 PM
Subject: Re: runtime exception when load and store multiple files using avro in pig

Hi Danfeng,

The "long" is from the 1st AvroStorage store in your script. The AvroStorage has very funny syntax regarding multiple stores. To apply different avro schemas to multiple stores, you have to specify their "index" as follows:

set1 = load 'input1.txt' using PigStorage('|') as ( ... ); *store set1 into 'set1' using org.apache.pig.piggybank.storage.avro.AvroStorage('index', '1');*

set2 = load 'input2.txt' using PigStorage('|') as ( .. ); *store set2 into 'set2' using org.apache.pig.piggybank.storage.avro.AvroStorage('index', '2');*

As can be seen, I added the 'index' parameters.

What AvroStorage does is to construct the following string in the frontend:

"1#<1st avro schema>,2#<2nd avro schema>"

and pass it to backend via UdfContext. Now in backend, tasks parse this string to get output schema for each store.


On Tue, Aug 21, 2012 at 4:38 PM, Danfeng Li <[EMAIL PROTECTED]> wrote:

> I run into this strange problem when try to load multiple text
> formatted files and convert them into avro format using pig. However,
> if I read and convert one file at a time in separated runs, everything
> is fine. The error message is following
> 2012-08-21 19:15:32,964 [main] ERROR
> org.apache.pig.tools.grunt.GruntParser - ERROR 2997: Unable to
> recreate exception from backed error:
> org.apache.avro.file.DataFileWriter$AppendWriteException:
> java.lang.RuntimeException: Datum 1980-01-01 00:00:00.000 is not in
> union ["null","long"]
>                 at
> org.apache.avro.file.DataFileWriter.append(DataFileWriter.java:263)
>                 at
> org.apache.pig.piggybank.storage.avro.PigAvroRecordWriter.write(PigAvroRecordWriter.java:49)
>                 at
> org.apache.pig.piggybank.storage.avro.AvroStorage.putNext(AvroStorage.java:612)
>                 at
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigOutputFormat$PigRecordWriter.write(PigOutputFormat.java:139)
>                 at
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigOutputFormat$PigRecordWriter.write(PigOutputFormat.java:98)
>                 at
> org.apache.hadoop.mapred.MapTask$NewDirectOutputCollector.write(MapTask.java:531)
>                 at
> org.apache.hadoop.mapreduce.TaskInputOutputContext.write(TaskInputOutputContext.java:80)
>                 at
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapOnly$Map.collect(PigMapOnly.java:48)
>                 at
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGeneri
> cMapB
> my code is
> set1 = load '$input_dir/set1.txt' using PigStorage('|') as (
>    id:long,
>    f1:long,
>    f2:chararray,
>    f3:float,
>    f4:float,
>    f5:float,
>    f6:float,
>    f7:float,
>    f8:float,
>    f9:float,
>    f10:float,
>    f11:float,
>    f12:float);
> store set1 into '$output_dir/set1.avro'
> using org.apache.pig.piggybank.storage.avro.AvroStorage();
> set2 = load '$input_dir/set2.txt' using PigStorage('|') as (
>    id : int,
>    date : chararray);
> store set2 into '$output_dir/set2.avro'
> using org.apache.pig.piggybank.storage.avro.AvroStorage();
> The first file is converted fine, but the 2nd one is failed. The error
> is coming from the 2nd field in the 2nd file, but the strange thing is
> that I don't even have "long" in my schema while the error message is
> showing ["null","long"].
> I use pig 0.10.0 and avro-1.7.1.jar.
> I wonder if this is a bug or I missed something.
> Thanks.
> Dan
> Here's set1.txt
> 827352|740214|Long|26|0.08731795012183759|1661335.541733333|0|0|0.0010