Question

我是PIG的新手，我正在尝试创建一个UDF，它获取一个元组并根据分隔返回多个元组。所以我写了一个UDF来读取下面的数据文件

2012/01/01 Name1 Category1|Category2|Category3
2012/01/01 Name2 Category2|Category3
2012/01/01 Name3 Category1|Category5

基本上我正在尝试阅读$ 2字段

Category1|Category2|Category3
Category2|Category3
Category1|Category5

将输出设为： -

Category1, Category2, Category3
Category2, Category3
Category1, Category5

下面是我写的UDF代码..

    package com.test.multipleTuple;    
    import java.io.IOException;
    import org.apache.pig.EvalFunc;
    import org.apache.pig.data.Tuple;
    import org.apache.pig.data.TupleFactory;

    public class TupleToMultipleTuple extends EvalFunc<String> {

        @Override
        public String exec(Tuple input) throws IOException {

            // Keep the count of every cell in the
            Tuple aux = TupleFactory.getInstance().newTuple();

            if (input == null || input.size() == 0)
                return null;
            try {
                String del = "\\|";
                String str = (String) input.get(0);

                String field[] = str.split(del);
                for (String nxt : field) {
                    aux.append(nxt.trim().toString());
                }
            } catch (Exception e) {
                throw new IOException("Caught exception processing input row ", e);
            }

            return aux.toDelimitedString(",");
        }
    }

创建了Jar - ＆gt; TupleToMultipleTuple.jar

但我在执行时遇到以下错误。

 Pig Stack Trace
    ---------------
    ERROR 1066: Unable to open iterator for alias B

    org.apache.pig.impl.logicalLayer.FrontendException: ERROR 1066: Unable to open iterator for alias B
        at org.apache.pig.PigServer.openIterator(PigServer.java:892)
        at org.apache.pig.tools.grunt.GruntParser.processDump(GruntParser.java:774)
        at org.apache.pig.tools.pigscript.parser.PigScriptParser.parse(PigScriptParser.java:372)
        at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:198)
        at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:173)
        at org.apache.pig.tools.grunt.Grunt.run(Grunt.java:69)
        at org.apache.pig.Main.run(Main.java:547)
        at org.apache.pig.Main.main(Main.java:158)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
    Caused by: java.io.IOException: Job terminated with anomalous status FAILED
        at org.apache.pig.PigServer.openIterator(PigServer.java:884)
        ... 13 more

请帮助我纠正这个问题。感谢。

用于应用UDF的Pig脚本..

REGISTER TupleToMultipleTuple.jar;
DEFINE myFunc com.test.multipleTuple.TupleToMultipleTuple();
A = load 'data.txt' USING PigStorage(' ');
B = foreach A generate myFunc($2);
dump B;

Answer 1

您可以使用内置的分割功能：

flatten(STRSPLIT($2,'[|]',3))as(cat1:chararray,cat2:chararray,cat3:chararray)

您将获得名为cat1，cat2和cat2的3个元组，其类型为chararray，并由它们所属的关系的当前分隔符分隔。

Answer 2

发现问题..问题是在解析DayaByteArray到String时...用toString（）来修复它

package com.test.multipleTuple;    
    import java.io.IOException;
    import org.apache.pig.EvalFunc;
    import org.apache.pig.data.Tuple;
    import org.apache.pig.data.TupleFactory;

    public class TupleToMultipleTuple extends EvalFunc<String> {

        @Override
        public String exec(Tuple input) throws IOException {

            // Keep the count of every cell in the
            Tuple aux = TupleFactory.getInstance().newTuple();

            if (input == null || input.size() == 0)
                return null;
            try {
                String del = "\\|";
                String str = (String) input.get(0).toString();

                String field[] = str.split(del);
                for (String nxt : field) {
                    aux.append(nxt.trim().toString());
                }
            } catch (Exception e) {
                throw new IOException("Caught exception processing input row ", e);
            }

            return aux.toDelimitedString(",");
        }
    }

PIG UDF将元组转换为多元组输出

2 个答案: