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我正在尝试使用 Apache Pig Latin 进行一些日志处理，我想知道是否有更简单的方法可以做到这一点：

filtered_logs = FOREACH logs GENERATE numDay, reqSize, optimizedSize, origSize, compressionPct, cacheStatus;

grouped_logs = GROUP filtered_logs BY numDay;

results = FOREACH grouped_logs GENERATE group,
(SUM(filtered_logs.reqSize) + SUM(filtered_logs.optimizedSize)) / 1048576.00 AS     ClientThroughputMB,
(SUM(filtered_logs.reqSize) + SUM(filtered_logs.origSize)) / 1048576.00 AS ServerThroughputMB,
SUM(filtered_logs.origSize) / 1048576.00 AS OrigMB,
SUM(filtered_logs.optimizedSize) / 1048576.00 AS OptMB,
SUM(filtered_logs.reqSize) / 1048576.00 AS SentMB,
AVG(filtered_logs.compressionPct) AS CompressionAvg,
COUNT(filtered_logs) AS NumLogs;

cache_hit_logs = FILTER filtered_logs BY cacheStatus MATCHES '.*HIT.*';

grouped_cache_hit_logs = GROUP cache_hit_logs BY numDay;

cache_hits = FOREACH grouped_cache_hit_logs GENERATE group,
COUNT(cache_hit_logs) AS cnt;

final_results = JOIN results BY group, cache_hits BY group;
DUMP final_results;

（定义了日志，它基本上是读取管道分隔的日志文件并分配字段）

我在这里要做的是计算字段 cacheStatus 包含“HIT”的实例数，并计算其他数据，例如 OrigMB、CompressionAvg、NumLogs 等。当前的代码有效，但似乎有巨大的性能高架。Pig Latin 有没有办法按照这个思路做一些事情（在 MSSQL 中）？

SUM(CASE CacheStatus WHEN 'HIT' THEN 1 else 0 END) as CacheHit

（基本上，我不想多次处理日志，我宁愿一次完成）

抱歉，如果我的问题措辞令人困惑，我对 Pig Latin 还是很陌生。

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1 回答 1

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没关系，我找到了自己的解决方案（愚蠢的我，忘记了我可以将语句括在花括号中）：

results = FOREACH grouped_logs 
{
    cache_hits = FILTER filtered_logs BY cacheStatus MATCHES '.*HIT.*';

    GENERATE group,
    (SUM(filtered_logs.reqSize) + SUM(filtered_logs.optimizedSize)) / 1048576.00 AS ClientThroughputMB,
    (SUM(filtered_logs.reqSize) + SUM(filtered_logs.origSize)) / 1048576.00 AS ServerThroughputMB,
    SUM(filtered_logs.origSize) / 1048576.00 AS OrigMB,
    SUM(filtered_logs.optimizedSize) / 1048576.00 AS OptMB,
    SUM(filtered_logs.reqSize) / 1048576.00 AS SentMB,
    AVG(filtered_logs.compressionPct) AS CompressionAvg,
    COUNT(filtered_logs) AS NumLogs,
    COUNT(cache_hits) AS CacheHit;
}
于 2011-08-02T16:30:30.193 回答