【问题标题】:Cardinality Estimation Issue? Datetime parameters vs cast?基数估计问题?日期时间参数与演员表?
【发布时间】:2011-05-04 23:54:41
【问题描述】:

我无法解决我在下面发布的查询的性能不佳问题。

这是我的问题:

如果我在 sql server managment studio 或使用 .NET sqlclient 中运行下面的确切查询,则查询平均需要 14 秒才能运行。

但是,如果在 .NET 中我取出这部分查询:

DECLARE @time_diff INT
DECLARE @start_date DATETIME
DECLARE @end_date DATETIME

SET @time_diff = 2
SET @start_date = '05/04/11 00:00:00 AM'
SET @end_date = '5/4/2011 11:59:59 PM'

并在代码中像这样使用参数:

sqlParameter = sqlCmd.Parameters.Add(New SqlParameter("@start_date", System.Data.SqlDbType.DateTime))
sqlParameter.Value = parameters.StartDate
sqlParameter = sqlCmd.Parameters.Add(New SqlParameter("@end_date", System.Data.SqlDbType.DateTime))
sqlParameter.Value = parameters.EndDate

那么查询运行大约需要 2 到 3 分钟。


另外,我注意到如果我用字符串日期常量替换参数值并在 .NET 或 SSMS 中运行,运行大约需要 2 - 3 分钟

--AND v.call_start_time BETWEEN @start_date AND @end_date
AND v.call_start_time BETWEEN '05/04/11' AND '5/4/2011 11:59:59 PM'

我发现这篇关于基数和查询优化器的文章http://msdn.microsoft.com/en-us/library/ms175933%28SQL.90%29.aspx,我认为这与我的问题有关,但在我的情况下似乎没有意义。 根据文章,在确定基数时应该执行强制转换。就我而言,这似乎没有发生。该文章还说使用参数代替局部变量 - 这也不适用于 .NET 参数。

关于使用存储过程: 我有可变数量的参数,我不知道效果如何。即使这是唯一的选择,我还是想知道到底是什么问题。

查询:

DBCC DROPCLEANBUFFERS
DBCC FREEPROCCACHE

SET STATISTICS IO ON

DECLARE @time_diff INT
DECLARE @start_date DATETIME
DECLARE @end_date DATETIME

SET @time_diff = 2
SET @start_date = '05/04/11 00:00:00 AM'
SET @end_date = '5/4/2011 11:59:59 PM'

--INSERT QUERY
SELECT * INTO ##tmp_15 FROM (-- PRI CALL RECORDINGS SEARCH QUERY:
    SELECT DISTINCT
    v.call_recording_id,
    v.call_start_time,
    v.call_source,
    v.call_type,
    IsNull(v.phone, '') AS phone,
    d.call_duration_seconds AS pri_call_duration_seconds,
    IsNull(cdr.extension, 'N/A') AS pri_extension,
    IsNull(users.last_name, 'N/A') AS pri_last_name,
    IsNull(users.first_name, 'N/A') AS pri_first_name,
    NULL AS debtor_no,
    NULL AS d_extension,
    NULL AS d_last_name,
    NULL AS d_first_name
    FROM tbl_call_recordings AS v
    JOIN tbl_pri_call_details AS d ON v.call_recording_id = d.call_recording_id
    LEFT JOIN (
        SELECT extension, phone, call_start_time
        FROM tbl_pri_cdr_records
        WHERE is_discard = 0
    ) AS cdr ON v.phone = cdr.phone AND
        ABS(DATEDIFF(mi, v.call_start_time, cdr.call_start_time)) <= @time_diff

    -- MATCH RECORDS TO USER INFO VIA EXTENSION
     LEFT JOIN (
        SELECT extension,
               start_date,
               IsNull(end_date, GETDATE()) AS end_date,
               usr.user_id,
               last_name,
               first_name,
              cr_user_id
        FROM tbl_extensions AS ext
        JOIN tbl_extension_users AS ext_usr ON ext.id = ext_usr.extension_id
        JOIN tbl_users AS usr ON ext_usr.user_id = usr.user_id
    ) AS users ON cdr.extension = users.extension
    AND v.call_start_time BETWEEN users.start_date AND users.end_date
    WHERE 1 = 1

    -- INSERT PRI SEARCH CONSTRAINTS HERE:
    AND v.call_start_time BETWEEN @start_date AND @end_date
    --AND v.call_start_time BETWEEN '05/04/11' AND '5/4/2011 11:59:59 PM'

UNION

-- DIALER RECORDINGS SEARCH QUERY:
      SELECT
        v.call_recording_id,
        v.call_start_time,
        v.call_source,
        v.call_type,
        IsNull(v.phone, '') AS phone,
        NULL AS pri_call_duration_seconds,
        NULL AS pri_extension,
        NULL AS pri_last_name,
        NULL AS pri_first_name,
       d.debtor_no,
        IsNull(users.extension, 'N/A') AS extension,
        IsNull(users.last_name, 'N/A') AS last_name,
        IsNull(users.first_name, 'N/A') AS first_name
      FROM tbl_call_recordings AS v
      JOIN tbl_dialer_call_details AS d ON v.call_recording_id = d.call_recording_id

      -- MATCH RECORDS TO USER INFO VIA EXTENSION
      LEFT JOIN (
                SELECT extension,
                       start_date,
                       IsNull(end_date, GETDATE()) AS end_date,
                       last_name,
                       first_name,
                       cr_user_id
                FROM tbl_extensions AS ext
                JOIN tbl_extension_users AS ext_usr ON ext.id = ext_usr.extension_id
                JOIN tbl_users AS usr ON ext_usr.user_id = usr.user_id

      ) as users ON d.agent = users.cr_user_id
        AND v.call_start_time BETWEEN users.start_date AND users.end_date
      WHERE 1 = 1
      -- INSERT DIALER SEARCH CONSTRAINTS HERE:
    AND v.call_start_time BETWEEN @start_date AND @end_date
    --AND v.call_start_time BETWEEN '05/04/11' AND '5/5/2011'
)t

【问题讨论】:

  • 因此,与有机会查看实际值相比,使用变量获得的性能更好?也许您需要更新该表的统计信息。
  • 是的,我使用变量获得了更好的性能 - 但只有在 sql 中声明和设置时。在 .NET 中使用参数时,性能为 2-3 分钟而不是 15 秒。如果 .NET 参数没有执行,更新统计数据仍然有意义吗?
  • 是的,我想是的。我认为这些的参数值仍然被嗅探。
  • @Martin - 效果很好,谢谢。现在一切平均为 15 秒。提交它作为答案,我会给你信用。

标签: .net vb.net sql-server-2005


【解决方案1】:

似乎自上次更新统计信息以来对数据的更改可能对当前考虑的范围产生了不成比例的影响,这意味着目前统计信息具有误导性,需要手动更新。

A good article discussing this issue is here.

【讨论】:

  • 文章非常适合我的场景。每天有 2500 万条记录 + 60K 条记录,并在日期时间使用聚集索引。我正在运行的查询也希望获得最后的记录。看来我必须制定一个时间表来更新统计数据。
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