我写了一封信 pig script 为了 wordcount 效果很好。我可以在hdfs的输出目录中看到pig脚本的结果。但在我的控制台的最后，我看到了以下内容：

Success!

Job Stats (time in seconds):
JobId   Maps    Reduces MaxMapTime  MinMapTIme  AvgMapTime  MedianMapTime   MaxReduceTime   MinReduceTime   AvgReduceTime   MedianReducetime    Alias   Feature Outputs
job_local1695568121_0002    1   1   0   0   0   0   0   0   0   0   words_sorted    SAMPLER 
job_local2103470491_0003    1   1   0   0   0   0   0   0   0   0   words_sorted    ORDER_BY    /output/result_pig,
job_local696057848_0001 1   1   0   0   0   0   0   0   0   0   book,words,words_agg,words_grouped  GROUP_BY,COMBINER   

Input(s):
Successfully read 0 records from: "/data/pg5000.txt"

Output(s):
Successfully stored 0 records in: "/output/result_pig"

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_local696057848_0001 ->  job_local1695568121_0002,
job_local1695568121_0002    ->  job_local2103470491_0003,
job_local2103470491_0003

2014-07-01 14:10:35,241 [main] INFO  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Success!

正如你所看到的，这份工作是成功的。但不是那个 Input(s) 以及 output(s) . 他们都说 successfully read/stored 0 records 计数器值都是0。为什么值是零。这些不应该是零。
我正在使用 hadoop2.2 and pig-0.12 以下是脚本：

book = load '/data/pg5000.txt' using PigStorage() as (lines:chararray);
words = foreach book generate FLATTEN(TOKENIZE(lines)) as word;
words_grouped = group words by word;
words_agg = foreach words_grouped generate group as word, COUNT(words);
words_sorted = ORDER words_agg BY $1 DESC;
STORE words_sorted into '/output/result_pig' using PigStorage(':','-schema');

注意：我的数据显示在 /data/pg5000.txt 而不是在默认目录中 /usr/name/data/pg5000.txt 编辑：这里是将我的文件打印到控制台的输出

hadoop fs -cat /data/pg5000.txt | head -10
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cat: Unable to write to output stream.