apache pig-无法读取包

ffdz8vbo  于 2021-06-03  发布在  Hadoop
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我尝试使用pig读取逗号分隔的数据,如下所示:

grunt> cat script/pig/emp_tuple1.txt
1,kirti,250000,{(100),(200)}
2,kk,240000,{(100),(300)}
3,kumar,200000,{(200),(400)}
4,shinde,290000,{(200),(500),(300),(100)}
5,shinde k y,260000,{(100),(300),(200)}
6,amol,255000,{(300)}
grunt> emp_t1 = load 'script/pig/emp_tuple1.txt' using PigStorage(',') as (empno:int, ename:chararray, salary:int, dlist:bag{});
grunt> dump emp_t1;
2015-11-23 12:26:44,450 [main] INFO  org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 1
(1,kirti,250000,)   
(2,kk,240000,)
(3,kumar,200000,)
(4,shinde,290000,)
(5,shinde k y,260000,)
(6,amol,255000,{(300)})

在两者之间显示一个警告:

2015-11-23 12:26:44,173 [LocalJobRunner Map Task Executor #0] WARN  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigHadoopLogger - org.apache.pig.builtin.Utf8StorageConverter(FIELD_DISCARDED_TYPE_CONVERSION_FAILED): Unable to interpret value [123, 40, 49, 48, 48, 41] in field being converted to type bag, caught ParseException <Unexpect end of bag> field discarded

当它遇到包中的逗号(,)时,似乎是在显示警告。
现在我做的是:将逗号改为制表符(或任何其他分隔符),它就起作用了:

grunt> cat script/pig/emp_tuple2.txt;
1|kirti|250000|{(100),(200)}
2|kk|240000|{(100),(300)}
3|kumar|200000|{(200),(400)}
4|shinde|290000|{(200),(500),(300),(100)}
5|shinde k y|260000|{(100),(300),(200)}
6|amol|255000|{(300)}
grunt> emp_t2 = load 'script/pig/emp_tuple2.txt' using PigStorage('|') as (empno:int, ename:chararray, salary:int, dlist:bag{});
grunt> dump emp_t1;
2015-11-23 12:31:33,408 [main] INFO  org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 1
(1,kirti,250000,{(100),(200)})
(2,kk,240000,{(100),(300)})
(3,kumar,200000,{(200),(400)})
(4,shinde,290000,{(200),(500),(300),(100)})
(5,shinde k y,260000,{(100),(300),(200)})
(6,amol,255000,{(300)})

所以我只是想知道,如果你有逗号分隔的数据袋逗号分隔,它不会工作吗?

q35jwt9p

q35jwt9p1#

Lets go into details, 
 1. Data is being read as TextInputFormat 
 2. Line Record Reader is being used to read lines
 3. , is being used to separate columns. 

as "," occurs in the bag and is the delimeter across columns, bag is being split into multiple columns. 

There are various way to overcome this. 

 1. pre-process the input and replace first three "," in each row by some other delimeter.

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