以下查询有时会起作用。
运行查询时常见的问题是，虽然确实显示了所有其他数据，但并未显示超过180岁的记录的记录数。
l_section＆amp; dim_performance_score是SharePoint 2010列表。
我想要一份报告，显示小于90天的记录，＆gt; = 90和＆lt; 180天，并且> = 180天。
如果我创建五个不同的存储查询并将其加入，则查询将始终如一地运行。但是，当我将所有SQL合并到一个存储的查询中时，事情就变得松懈了。如果我尝试在设计窗口中查看合并查询，则无法承受性能问题，MS Access崩溃。这是JET的已知问题吗？
维持5个或6个不同的查询以获得一个答案似乎效率低下。
我正在做的是获得所需数据的最佳方法吗？
PARAMETERS [compare date] DateTime;
SELECT
l_section.section,
[compare date] AS [As of Date],
total_count.[Total Records],
IIf([less_than_90].[<90 Days] Is Null,0,[less_than_90].[<90 Days]) AS [<90 Days],
IIf([greater_than_90].[>=90 & <180Days] Is Null,0,[greater_than_90].[>=90 & <180Days]) AS [>=90 & <180Days],
IIf([greater_than_180].[>=180 Days] Is Null,0,[greater_than_180].[>=180 Days]) AS [>=180 Days]
FROM
(
(
(
l_section
LEFT JOIN
(
SELECT
since_modified.section,
Count(since_modified.section) AS [>=180 Days]
FROM
(
SELECT
l_section.section,
IIf(dim_performance_score.[Modified] Is Null,0,DateDiff("d",dim_performance_score.[Modified],[compare date])) AS days_since_update
FROM
l_section
LEFT JOIN
dim_performance_score
ON
l_section.section = dim_performance_score.section
) as since_modified
WHERE
(((since_modified.days_since_update)>=180))
GROUP BY
since_modified.section
) as greater_than_180
ON
l_section.section = greater_than_180.section
)
LEFT JOIN
(
SELECT
since_modified.section,
Count(since_modified.section) AS [<90 Days]
FROM
(
SELECT
l_section.section,
IIf(dim_performance_score.[Modified] Is Null,0,DateDiff("d",dim_performance_score.[Modified],[compare date])) AS days_since_update
FROM
l_section
LEFT JOIN
dim_performance_score
ON
l_section.section = dim_performance_score.section
) as since_modified
WHERE
(((since_modified.days_since_update)<90))
GROUP BY
since_modified.section
) as less_than_90
ON
l_section.section = less_than_90.section
)
LEFT JOIN
(
SELECT
since_modified.section,
Count(since_modified.section) AS [>=90 & <180Days]
FROM
(
SELECT
l_section.section,
IIf(dim_performance_score.[Modified] Is Null,0,DateDiff("d",dim_performance_score.[Modified],[compare date])) AS days_since_update
FROM
l_section
LEFT JOIN
dim_performance_score
ON
l_section.section = dim_performance_score.section
) as since_modified
WHERE
(((since_modified.days_since_update)>=90
And
(since_modified.days_since_update)<180))
GROUP BY
since_modified.section
) as greater_than_90
ON
l_section.section = greater_than_90.section
)
LEFT JOIN
(
SELECT
l_section.section,
Count(IIf([section] Is Null,0,[section])) AS [Total Records]
FROM
l_section
LEFT JOIN
dim_performance_score
ON
l_section.section = dim_performance_score.section
GROUP BY l_section.section
) as total_count
ON
l_section.section = total_count.section
ORDER BY l_section.section;
答案 0 :(得分：0)
三重嵌套联接？这不可能是正确的。看起来每个连接都是（或应该）在同一级别上。
PARAMETERS [compare date] DateTime;
SELECT
l_section.section,
[compare date] AS [As of Date],
total_count.[Total Records],
IIf([less_than_90].[<90 Days] Is Null,0,[less_than_90].[<90 Days]) AS [<90 Days],
IIf([greater_than_90].[>=90 & <180Days] Is Null,0,[greater_than_90].[>=90 & <180Days]) AS [>=90 & <180Days],
IIf([greater_than_180].[>=180 Days] Is Null,0,[greater_than_180].[>=180 Days]) AS [>=180 Days]
FROM l_section
LEFT JOIN
(
SELECT
since_modified.section,
Count(since_modified.section) AS [>=180 Days]
FROM
(
SELECT
l_section.section,
IIf(dim_performance_score.[Modified] Is Null,0,DateDiff("d",dim_performance_score.[Modified],[compare date])) AS days_since_update
FROM
l_section
LEFT JOIN
dim_performance_score
ON
l_section.section = dim_performance_score.section
) as since_modified
WHERE
(((since_modified.days_since_update)>=180))
GROUP BY
since_modified.section
) as greater_than_180
ON
l_section.section = greater_than_180.section
LEFT JOIN
(
SELECT
since_modified.section,
Count(since_modified.section) AS [<90 Days]
FROM
(
SELECT
l_section.section,
IIf(dim_performance_score.[Modified] Is Null,0,DateDiff("d",dim_performance_score.[Modified],[compare date])) AS days_since_update
FROM
l_section
LEFT JOIN
dim_performance_score
ON
l_section.section = dim_performance_score.section
) as since_modified
WHERE
(((since_modified.days_since_update)<90))
GROUP BY
since_modified.section
) as less_than_90
ON
l_section.section = less_than_90.section
LEFT JOIN
(
SELECT
since_modified.section,
Count(since_modified.section) AS [>=90 & <180Days]
FROM
(
SELECT
l_section.section,
IIf(dim_performance_score.[Modified] Is Null,0,DateDiff("d",dim_performance_score.[Modified],[compare date])) AS days_since_update
FROM
l_section
LEFT JOIN
dim_performance_score
ON
l_section.section = dim_performance_score.section
) as since_modified
WHERE
(((since_modified.days_since_update)>=90
And
(since_modified.days_since_update)<180))
GROUP BY
since_modified.section
) as greater_than_90
ON
l_section.section = greater_than_90.section
LEFT JOIN
(
SELECT
l_section.section,
Count(IIf([section] Is Null,0,[section])) AS [Total Records]
FROM
l_section
LEFT JOIN
dim_performance_score
ON
l_section.section = dim_performance_score.section
GROUP BY l_section.section
) as total_count
ON
l_section.section = total_count.section
ORDER BY l_section.section;
答案 1 :(得分：0)
嗯，我想出了一个不同的方式来获得我想要的东西，它更简单。我发布作为我自己的答案，以显示之前和之后。
SELECT
section_last_modified.section,
Count(section_last_modified.section) AS [Total Records],
Sum(IIf([days_since_modified]<90,1,0)) AS [< 90 days],
Sum(IIf([days_since_modified] Between 90 And 180,1,0)) AS [>=90 and <180 days],
Sum(IIf([days_since_modified]>=180,1,0)) AS [>=180 days]
FROM section_last_modified
GROUP BY section_last_modified.section;
-----section_last_modified-------
PARAMETERS [Compare Date] DateTime;
SELECT
dim_performance_score.section,
DateDiff("d",dim_performance_score.[Modified],[Compare Date]) AS days_since_modified
FROM
dim_performance_score
WHERE
(((dim_performance_score.[Content Type])="stacker maintenance"))
ORDER BY
dim_performance_score.section;