Apache Pig - 如何获得多个包之间的匹配元素数量?

时间:2013-05-22 08:52:31

标签: hadoop bigdata apache-pig latin

我是Apache Pig的新用户,我有一个问题需要解决。

我正在尝试用apache pig制作一个小搜索引擎。这个想法很简单:我有一个文件,它是多个文档的串联(每行一个文档)。以下是三个文档的示例:

1,word1 word4 word2 word1
2,word2 word6 word1 word5 word3
3,word1 word3 word4 word5

然后,我使用以下代码行为每个文档创建一个单词包:

docs = LOAD '$documents' USING PigStorage(',') AS (id:int, line:chararray);
B = FOREACH docs GENERATE line;
C = FOREACH B GENERATE TOKENIZE(line) as gu;

然后,我删除行李上的重复条目:

filtered = FOREACH C {
    uniq = DISTINCT gu;
    GENERATE uniq;
}

以下是此代码的结果:

DUMP filtered;

({(word1), (word4),  (word2)})
({(word2), (word6),  (word1), (word5), (word3)})
({(word1), (word3),  (word4), (word5)})

所以我每个文档都有一个单词,就像我想要的那样。

现在,让我们将用户查询视为文件:

word2 word7 word5

我将查询转换为一袋词:

query = LOAD '$query' AS (line_query:chararray);
bag_query = FOREACH query GENERATE TOKENIZE(line_query) AS quer;

DUMP bag_query;

结果如下:

({(word2), (word7), (word5)})

现在,这是我的问题:我想获得查询和每个文档之间的匹配数。在这个例子中,我希望得到这个输出:

1
2
1

我试图在行李之间加入,但它没有用。

你能帮我吗?

谢谢。

3 个答案:

答案 0 :(得分:1)

尝试使用SetIntersect(Datafu UDF - https://github.com/linkedin/datafu)和SIZE来获取结果包中的元素数量。

答案 1 :(得分:1)

如果您可以不使用任何UDF,那么可以通过旋转行李并采用所有SQL样式来完成。

docs = LOAD '/input/search.dat' USING PigStorage(',') AS (id:int, line:chararray);
C = FOREACH docs GENERATE id, TOKENIZE(line) as gu;
pivoted = FOREACH C {
    uniq = DISTINCT gu;
        GENERATE id, FLATTEN(uniq) as word;
};
filtered = FILTER pivoted BY word MATCHES '(word2|word7|word5)';
--dump filtered;
count_id_matched = FOREACH (GROUP filtered BY id) GENERATE group as id, COUNT(filtered) as count;

dump count_id_matched;

count_word_matched_in_docs = FOREACH (GROUP filtered BY word) GENERATE group as word, COUNT(filtered) as count;

dump count_word_matched_in_docs;

答案 2 :(得分:0)

正如SNeumann指出的那样,您可以使用DataFu的SetIntersect作为示例。

根据这些文件构建示例:

1,word1 word4 word2 word1
2,word2 word6 word1 word5 word3 word7
3,word1 word3 word4 word5

鉴于此查询:

word2 word7 word5

然后此代码为您提供所需内容:

define SetIntersect datafu.pig.sets.SetIntersect();

docs = LOAD 'docs' USING PigStorage(',') AS (id:int, line:chararray);
B = FOREACH docs GENERATE id, line;
C = FOREACH B GENERATE id, TOKENIZE(line) as gu;

filtered = FOREACH C {
  uniq = DISTINCT gu;
  GENERATE id, uniq;
}

query = LOAD 'query' AS (line_query:chararray);
bag_query = FOREACH query GENERATE TOKENIZE(line_query) AS query;
-- sort the bag of tokens, since SetIntersect requires it
bag_query = FOREACH bag_query {
  query_sorted = ORDER query BY token;
  GENERATE query_sorted;
}

result = FOREACH filtered {
  -- sort the tokens, since SetIntersect requires it
  tokens_sorted = ORDER uniq BY token;
  GENERATE id, 
           SIZE(SetIntersect(tokens_sorted,bag_query.query_sorted)) as cnt;
}

DUMP result;

结果值:

(1,1)
(2,3)
(3,1)

以下是一个完整的示例,您可以将其粘贴到位于here的SetIntersect的DataFu单元测试中:

/**
register $JAR_PATH

define SetIntersect datafu.pig.sets.SetIntersect();

docs = LOAD 'docs' USING PigStorage(',') AS (id:int, line:chararray);
B = FOREACH docs GENERATE id, line;
C = FOREACH B GENERATE id, TOKENIZE(line) as gu;

filtered = FOREACH C {
  uniq = DISTINCT gu;
  GENERATE id, uniq;
}

query = LOAD 'query' AS (line_query:chararray);
bag_query = FOREACH query GENERATE TOKENIZE(line_query) AS query;
-- sort the bag of tokens, since SetIntersect requires it
bag_query = FOREACH bag_query {
  query_sorted = ORDER query BY token;
  GENERATE query_sorted;
}

result = FOREACH filtered {
  -- sort the tokens, since SetIntersect requires it
  tokens_sorted = ORDER uniq BY token;
  GENERATE id, 
           SIZE(SetIntersect(tokens_sorted,bag_query.query_sorted)) as cnt;
}

DUMP result;

 */
@Multiline
private String setIntersectTestExample;

@Test
public void setIntersectTestExample() throws Exception
{    
  PigTest test = createPigTestFromString(setIntersectTestExample);    

  writeLinesToFile("docs", 
                   "1,word1 word4 word2 word1",
                   "2,word2 word6 word1 word5 word3 word7",
                   "3,word1 word3 word4 word5");

  writeLinesToFile("query", 
                   "word2 word7 word5");

  test.runScript();

  super.getLinesForAlias(test, "filtered");
  super.getLinesForAlias(test, "query");
  super.getLinesForAlias(test, "result");
}

如果您有任何其他类似用例,我很乐意听到它们:)我们一直在寻求为DataFu贡献更多有用的UDF。