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2つのサブクエリを持つクエリを作成しようとしています。クエリは個別に実行すると機能しますが、すべてをまとめると、目的の結果セットが得られません。最小限の例を挙げてみます。

主な質問:

mysql> select target_name_id,  ep, count(*), count(distinct wafer_id) 
       from data_cst 
       where target_name_id = 155609 
       and data_cst.date_time BETWEEN '2012-06-23 00:00:00' AND '2012-08-23 23:59:59'
       GROUP BY target_name_id, data_cst.ep;

+----------------+------+----------+--------------------------+
| target_name_id | ep   | count(*) | count(distinct wafer_id) |
+----------------+------+----------+--------------------------+
|         155609 | Line |     4799 |                      215 |
+----------------+------+----------+--------------------------+
1 row in set (0.05 sec)

最初のサブクエリ:

 mysql> SELECT target_name_id,ep, wafer_id, AVG(bottom) as averages,
        FROM data_cst            
        WHERE target_name_id = 155609
        AND data_cst.date_time BETWEEN '2012-06-23 00:00:00' AND '2012-08-23 23:59:59'
        GROUP BY target_name_id, ep, wafer_id;
+----------------+------+----------+------------+
| target_name_id | ep   | wafer_id | averages   |
+----------------+------+----------+------------+
|         155609 | Line |   401739 | 47.6236667 |
|         155609 | Line |   403041 | 47.3739167 |
|         155609 | Line |   408339 | 47.4901667 |
|         155609 | Line |   409683 | 48.3066250 |
|         155609 | Line |   409690 | 47.2402500 |
|         155609 | Line |   410249 | 47.3346667 |
|         155609 | Line |   410633 | 48.7373333 |
|         155609 | Line |   414000 | 48.1274167 |
              .
              .
              .
215 rows in set (0.07 sec)

2番目のサブクエリ:

mysql> SELECT target_name_id, ep, data_file_id, lot_id, wafer_id, 
              date_time,
              COUNT(DISTINCT target_name_id, ep, lot_id, data_file_id)-1 as reruns
       FROM data_cst         
       WHERE target_name_id = 155609  
       AND data_cst.date_time BETWEEN '2012-06-23 00:00:00' AND '2012-08-23 23:59:59' 
       GROUP BY target_name_id, data_cst.ep, wafer_id         
       HAVING COUNT(DISTINCT target_name_id, ep, lot_id, data_file_id) > 1;



   +----------------+------+--------------+--------+----------+---------------------+--------+
    | target_name_id | ep   | data_file_id | lot_id | wafer_id | date_time           | reruns |
    +----------------+------+--------------+--------+----------+---------------------+--------+
    |         155609 | Line |          774 | 120804 |   403041 | 2012-07-06 03:51:50 |      1 |
    |         155609 | Line |         6502 | 123109 |   409683 | 2012-07-16 05:10:04 |      1 |
    |         155609 | Line |          749 | 120804 |   409690 | 2012-07-06 04:08:01 |      1 |
    |         155609 | Line |      3319148 | 123484 |   410633 | 2012-07-07 09:12:20 |      5 |
    |         155609 | Line |         8264 | 134609 |   414098 | 2012-07-03 11:34:12 |      5 |
    |         155609 | Line |      3279867 | 124752 |   414245 | 2012-06-26 00:51:31 |      1
                .
                .
                .
93 rows in set (0.06 sec)

これらをすべてまとめると、メインクエリからのカウント、2番目からの平均、3番目からの再実行列の合計が必要になります。私はこれを3日間いじっていますが、希望する結果を得るために適切な結合を思い付くことができません。私は合計、カウント、または平均を正しく出すことができましたが、すべてではありません3。これが私の最新の試みです。

mysql> select data_cst.target_name_id, data_cst.ep, count(*) as count, 
       count(distinct data_cst.wafer_id) as wafers, 
       avg(averages) as average, sum(reruns) as rerun 
       from data_cst, 
          (SELECT target_name_id,ep, wafer_id, AVG(bottom) as averages            
           FROM data_cst                        
           WHERE target_name_id = 155609             
           AND data_cst.date_time BETWEEN '2012-06-23 00:00:00' AND '2012-08-23 23:59:59'             
           GROUP BY target_name_id, ep, wafer_id) q1, 
          (SELECT target_name_id, ep, data_file_id, lot_id, wafer_id,
                  date_time, 
                  COUNT(DISTINCT target_name_id, ep, lot_id, data_file_id)-1 as reruns
           FROM data_cst                     
           WHERE target_name_id = 155609              
           AND data_cst.date_time BETWEEN '2012-06-23 00:00:00' AND '2012-08-23 23:59:59'             
           GROUP BY target_name_id, data_cst.ep, wafer_id                     
           HAVING COUNT(DISTINCT target_name_id, ep, lot_id, data_file_id) > 1) r 
       where data_cst.target_name_id = 155609 
       AND data_cst.date_time BETWEEN '2012-06-23 00:00:00' AND '2012-08-23 23:59:59' 
       and  data_cst.wafer_id = q1.wafer_id 
       GROUP BY target_name_id, data_cst.ep;
+----------------+------+--------+--------+----------------+--------+
| target_name_id | ep   | count  | wafers | average        | rerun  |
+----------------+------+--------+--------+----------------+--------+
|         155609 | Line | 446307 |    215 | 48.12877962148 | 724649 |
+----------------+------+--------+--------+----------------+--------+
1 row in set (23.56 sec)

この最も外側のwhere句では、ウェーハ数と平均は正しいですが、数と再実行は正しくありません。別のwhere句を使用して再実行を正しく行うことはできますが、カウントとウェーハが間違っています。さらに別の異なるwhere句を使用してカウントを正しくすることはできますが、再実行が間違っています。

私はこれを3日間いじっていますが、自分に合ったwhere句が見つかりません。

これは私の質問の更新です:

Gordon Linoffの提案に従ってクエリを変更しました。それ以来、クライアントは多くの新しい要件を追加し、それをクエリに組み込むことができました。しかし今、彼らは私がそれに取り組む方法を完全に理解することができないいくつかを追加しました。

私のクエリは次のようになります。

SELECT data_target.name as Target,
       q1.ep as EP,
       COUNT(*) as Wafers,
       Lots,
       SUM(numonep)/(COUNT(*)+SUM(CASE WHEN reruns > 0 THEN reruns ELSE 0 END)) as 'Sites/Wafer',
       MAX(LastRun) as "Last Run",
       SUM(CASE WHEN reruns > 0 THEN reruns ELSE 0 END) as Rerun,
       COUNT(*)+SUM(CASE WHEN reruns > 0 THEN reruns ELSE 0 END) as Runs,
       avgbottom as "Avg Bottom",
       3*stdbottom as "3 Sig",
       maxbottom as Max,
       minbottom as Min,
       SUM(numonep) as Count,
       SUM(numonep) - SUM(numbottoms) as NAs,
       100-((SUM(numonep) - SUM(numbottoms))/SUM(numonep)*100) as "% Success",
       3*stdbottom/avgbottom as "3Sig/Avg",
       AVG(avgbottom) as 'Wafer Avg',
       AVG(Wafer3Sigma) as 'Wafer 3 Sigma',
       AVG(Ranges) as 'Avg Range',
       3*STD(Ranges) as '3Sig of Ranges',
       MAX(Ranges) as 'Max Range',
       MIN(Ranges) as 'Min Range',
       (SUM(numonep) - SUM(numbottoms))/COUNT(*) as 'NAs/Wafer'
   FROM (SELECT target_name_id,
                ep,
                wafer_id,
                COUNT(bottom) as numbottoms,
                AVG(bottom) as avgbottom, 
                STD(bottom) as stdbottom,
                MAX(bottom) as maxbottom,
                MIN(bottom) as minbottom,
                MAX(date_time) as "LastRun",
                COUNT(*) as numonep,
                COUNT(DISTINCT target_name_id, ep, lot_id, data_file_id)-1 as reruns, 
                COUNT(DISTINCT(lot_id)) as Lots,
                3*STD(bottom) as Wafer3Sigma,
                MAX(bottom) - MIN(bottom) as Ranges
         FROM data_cst
         WHERE target_name_id IN (775, 776, 777, 778, 779, 780, 45, 44, 116, 117, 118, 119, 120, 121)  
         AND data_cst.date_time BETWEEN '2010-03-04 00:00:00' AND '2010-03-04 23:59:59' 
         GROUP BY target_name_id, ep, wafer_id  
         HAVING count(*) < 999) q1, 
   data_target  
   WHERE data_target.id = target_name_id  
   GROUP BY q1.target_name_id, q1.ep;

そして、これは完璧に機能します。しかし今、彼らは私に特定の列(image_measurer_id)を取得してもらいたいと思っています。各行は、bottom = Min(bottom)、bottom = Max(bottom)、Avg(bottom)に最も近いbottom、およびdate_time = Max(date_time)の行の下。

これは、この1つのクエリからでも可能ですか?

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1 に答える 1

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適切な結合構文を使用すると、非常に役立ちます。data_cst への結合は不必要に思えます。2 つのサブクエリのターゲットとウェーハが同じ場合、単純な結合または左外部結合が機能するはずです。

select q1.target_name_id, q1.ep, count(*) as count, 
   count(distinct q1.wafer_id) as wafers, 
   avg(averages) as average, sum(reruns) as rerun 
   from (SELECT target_name_id,ep, wafer_id, AVG(bottom) as averages            
       FROM data_cst                        
       WHERE target_name_id = 155609             
       AND data_cst.date_time BETWEEN '2012-06-23 00:00:00' AND '2012-08-23 23:59:59'             
       GROUP BY target_name_id, ep, wafer_id) q1 left outer join
      (SELECT target_name_id, ep, data_file_id, lot_id, wafer_id,
              date_time, 
              COUNT(DISTINCT target_name_id, ep, lot_id, data_file_id)-1 as reruns
       FROM data_cst                     
       WHERE target_name_id = 155609              
       AND data_cst.date_time BETWEEN '2012-06-23 00:00:00' AND '2012-08-23 23:59:59'             
       GROUP BY target_name_id, data_cst.ep, wafer_id                     
       HAVING COUNT(DISTINCT target_name_id, ep, lot_id, data_file_id) > 1
      ) r 
      on r.wafer_id = q1.wafer_id and
         r.target_name_id = q1.target_name_id and
         r.ep = q1.ep
   GROUP BY q1.target_name_id, q1.ep;

ただし、クエリは非常に似ているため、ロジックを単純化できると思います。

select q1.target_name_id, q1.ep, sum(numonep) as count, 
       count(*) as wafers, 
       avg(averages) as average,
       sum(case when reruns > 0 then reruns else 0 end) as rerun 
from (SELECT target_name_id, ep, wafer_id, AVG(bottom) as averages,
             count(*) as numonep,
             COUNT(DISTINCT target_name_id, ep, lot_id, data_file_id)-1 as reruns           
      FROM data_cst                        
      WHERE target_name_id = 155609 and             
            data_cst.date_time BETWEEN '2012-06-23 00:00:00' AND '2012-08-23 23:59:59'             
      GROUP BY target_name_id, ep, wafer_id
     ) q1 
group by q1.target_name_id, q1.ep
于 2012-08-31T22:53:15.597 に答える