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。
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。