Question

我现有的查询工作正常：

SELECT data_tool.name as tool,
       MIN(data_cst.date_time) "start",
       MAX(data_cst.date_time) "end",
       data_cst.recipe_id,
       data_target.name as target,
       data_lot.name as lot,
       data_wafer.name as wafer,
       data_measparams.name as mp
FROM data_cst
INNER JOIN data_tool ON data_tool.id = data_cst.tool_id
INNER JOIN data_target ON data_target.id = data_cst.target_name_id
INNER JOIN data_lot ON data_lot.id = data_cst.lot_id
INNER JOIN data_wafer ON data_wafer.id = data_cst.wafer_id
INNER JOIN data_measparams ON data_measparams.id = data_cst.meas_params_name_id
WHERE data_target.id IN (130, 539)
AND data_cst.date_time BETWEEN '2010-01-11 00:00:00' AND '2013-01-11 23:59:59'
AND data_cst.tool_id IN (14,16)
GROUP BY wafer_id, data_cst.lot_id, data_file_id, target_name_id
HAVING count(*) < 100
ORDER BY start, tool

现在我需要添加一些东西。我有另一张桌子叫 event_message_idx列recipe_id，lot_id，tool_id， date_time和message_idx。

我需要找出该表中有多少行message_idx = 'OM' 以及有多少人message_idx = 'SEM'加入了上述查询 recipe_id, lot_id, tool_id并且date_time between start and end。

我无法弄清楚如何在一个查询中执行此操作（其中我真的更喜欢子查询，因为这些表非常大过去，该系统的子查询性能一直不佳。）

我一直在玩这样的左连接：

SELECT data_tool.name as tool,
       MIN(data_cst.date_time) "start",
       MAX(data_cst.date_time) "end",
       data_cst.recipe_id,
       data_target.name as target,
       data_lot.name as lot,
       data_wafer.name as wafer,
       data_measparams.name as mp,
       event_message_idx.message_idx,
       COUNT(event_message_idx.message_idx)
FROM data_cst
LEFT JOIN event_message_idx
  ON event_message_idx.recipe_id = data_cst.recipe_id
  AND event_message_idx.message_idx IN ('OM', 'SEM')
  AND event_message_idx.lot_id = data_cst.lot_id
  AND event_message_idx.tool_id = data_cst.tool_id
INNER JOIN data_tool ON data_tool.id = data_cst.tool_id
INNER JOIN data_target ON data_target.id = data_cst.target_name_id
INNER JOIN data_lot ON data_lot.id = data_cst.lot_id
INNER JOIN data_wafer ON data_wafer.id = data_cst.wafer_id
INNER JOIN data_measparams ON data_measparams.id = data_cst.meas_params_name_id
WHERE data_target.id IN (130, 539)
AND data_cst.date_time BETWEEN '2010-01-11 00:00:00' AND '2013-01-11 23:59:59'
AND data_cst.tool_id IN (14,16)
GROUP BY wafer_id, data_cst.lot_id, data_file_id, target_name_id,
event_message_idx.message_idx
HAVING count(*) < 100
ORDER BY start, tool

但这里有两个问题：

我想要的行数加倍 - 一个用于OM，一个用于SEM
我不希望这样 - 我只想知道有多少OM和SEM行有（真的我只是想知道是否有0或更多0 - 实际数量并不重要。）
我没有考虑日期范围 - 我只想数数 event_message_idx中的行在开始和结束之间，我不能弄清楚如何做到这一点。

这可能吗？我认为它不是，我必须使用2个查询（这将使应用程序真正复杂化）或子查询（我也在努力编写）。

Answer 1

计算子查询中的那些，例如

SELECT  data_tool.name as tool,
        MIN(data_cst.date_time) "start",
        MAX(data_cst.date_time) "end",
        data_cst.recipe_id,
        data_target.name as target,
        data_lot.name as lot,
        data_wafer.name as wafer,
        data_measparams.name as mp,
        COALESCE(a.totalOM, 0) totalOM,
        COALESCE(a.totalSEM, 0) totalSEM
FROM    data_cst
        INNER JOIN data_tool 
            ON data_tool.id = data_cst.tool_id
        INNER JOIN data_target 
            ON data_target.id = data_cst.target_name_id
        INNER JOIN data_lot 
            ON data_lot.id = data_cst.lot_id
        INNER JOIN data_wafer 
            ON data_wafer.id = data_cst.wafer_id
        INNER JOIN data_measparams 
            ON data_measparams.id = data_cst.meas_params_name_id
        LEFT JOIN 
        (
            SELECT  recipe_id, lot_id, tool_id,
                    SUM(CASE WHEN message_idx = 'OM' THEN 1 ELSE 0 END) totalOM,
                    SUM(CASE WHEN message_idx = 'SEM' THEN 1 ELSE 0 END) totalSEM
            FROM    event_message_idx
            WHERE   date_time BETWEEN '2010-01-11 00:00:00' AND '2013-01-11 23:59:59'
            GROUP   BY recipe_id, lot_id, tool_id
        ) a ON  data_cst.recipe_id = a.recipe_id AND
                data_cst.lot_id = a.lot_id AND
                data_cst.tool_id = a.tool_id 
WHERE   data_target.id IN (130, 539) AND 
        (data_cst.date_time BETWEEN '2010-01-11 00:00:00' AND '2013-01-11 23:59:59') AND 
        data_cst.tool_id IN (14,16)
GROUP   BY  wafer_id, data_cst.lot_id, data_file_id, target_name_id
HAVING  COUNT(*) < 100
ORDER   BY `start`, tool

将新表添加到现有查询

1 个答案: