我正在使用三元运算符有条件地在 SUM()
操作中包含值。这是我的做法。
GROUPED = GROUP ALL_MERGED BY (fld1, fld2, fld3);
REPORT_DATA = FOREACH GROUPED
{ GENERATE group,
SUM(GROUPED.fld4 == 'S' ? GROUPED.fld5 : 0) AS sum1,
SUM(GROUPED.fld4 == 'S' ? GROUPED.fld5 : (GROUPED.fld5 * -1)) AS sum2;
}
ALL_MERGED
的架构是
{ALL_MERGED: {fld1:chararray, fld2:chararray, fld3:chararray, fld4:chararray: fld5:int}}
当我执行它时,它会给我以下错误:
ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1000: Error during parsing. Invalid alias: SUM in {group: (fld1:chararray, fld2:chararray, fld3:chararray), ALL_MERGED: {fld1:chararray, fld2:chararray, fld3:chararray, fld4:chararray: fld5:int}}
我在这里做错了什么?
最佳答案
SUM
是一个将包作为输入的 UDF。您正在做的事情有很多问题,我怀疑它会帮助您查看有关 Pig 的良好引用。我推荐Programming Pig ,可在线免费获得。首先,GROUPED
有两个字段:一个名为 group
的元组和一个名为 ALL_MERGED
的包,这就是错误消息试图说明的内容你。 (我说“尝试”是因为 Pig 的错误消息通常非常含糊。)
此外,您不能像您希望的那样将表达式传递给 UDF。相反,您必须先GENERATE
这些字段,然后再传递它们。试试这个:
ALL_MERGED_2 =
FOREACH ALL_MERGED
GENERATE
fld1 .. fld5,
((fld4 == 'S') ? fld5 : 0) AS sum_me1,
((fld4 == 'S') ? fld5 : fld5*-1) AS sum_me2;
GROUPED = GROUP ALL_MERGED_2 BY (fld1, fld2, fld3);
DATA =
FOREACH GROUPED
GENERATE
group,
SUM(ALL_MERGED_2.sum_me1) AS sum1,
SUM(ALL_MERGED_2.sum_me2) AS sum2;
关于hadoop - Pig 中的条件和,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/14279519/