哪种方法更适合这种情况?

发布于 2024-09-16 04:09:20 字数 1305 浏览 10 评论 0原文

我们有下表:

CREATE TABLE [dbo].[CampaignCustomer](
    [ID] [int] IDENTITY(1,1) NOT NULL,
    [CampaignID] [int] NOT NULL,
    [CustomerID] [int] NULL,
    [CouponCode] [nvarchar](20) NOT NULL,
    [CreatedDate] [datetime] NOT NULL,
    [ModifiedDate] [datetime] NULL,
    [Active] [bit] NOT NULL,
 CONSTRAINT [PK_CampaignCustomer] PRIMARY KEY CLUSTERED 
(
    [ID] ASC
)WITH (PAD_INDEX  = OFF, STATISTICS_NORECOMPUTE  = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS  = ON, ALLOW_PAGE_LOCKS  = ON) ON [PRIMARY]
) ON [PRIMARY]

和以下唯一索引:

CREATE UNIQUE NONCLUSTERED INDEX [IX_CampaignCustomer_CouponCode] ON [dbo].[CampaignCustomer] 
(
    [CouponCode] ASC
)WITH (PAD_INDEX  = OFF, STATISTICS_NORECOMPUTE  = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS  = ON, ALLOW_PAGE_LOCKS  = ON, FILLFACTOR = 20) ON [PRIMARY]
GO

我们使用 CouponCode 和其他外键(为简单起见,上面未显示)进行相当恒定的查询。 CampaignCustomer 表有近 400 万条记录,并且还在不断增加。我们还开展不需要优惠券代码的活动,因此我们不会插入这些记录。现在我们还需要开始跟踪这些活动以及出于另一个目的。因此,我们有两个选择:

  1. 我们更改 CouponCode 列以允许空值,并创建一个唯一的过滤索引以不包含空值,并允许表增长得更大更快。
  2. 创建一个单独的表来跟踪用于此特定目的的所有活动。

请记住,CampaignCustomer 表经常用于兑换优惠券和插入新优惠券。最重要的是,我们不希望客户兑换优惠券并等待,直到他们放弃或其他流程失败。那么,从效率的角度来看,您认为哪种选择最好,为什么?

We have the following table:

CREATE TABLE [dbo].[CampaignCustomer](
    [ID] [int] IDENTITY(1,1) NOT NULL,
    [CampaignID] [int] NOT NULL,
    [CustomerID] [int] NULL,
    [CouponCode] [nvarchar](20) NOT NULL,
    [CreatedDate] [datetime] NOT NULL,
    [ModifiedDate] [datetime] NULL,
    [Active] [bit] NOT NULL,
 CONSTRAINT [PK_CampaignCustomer] PRIMARY KEY CLUSTERED 
(
    [ID] ASC
)WITH (PAD_INDEX  = OFF, STATISTICS_NORECOMPUTE  = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS  = ON, ALLOW_PAGE_LOCKS  = ON) ON [PRIMARY]
) ON [PRIMARY]

and the following Unique Index:

CREATE UNIQUE NONCLUSTERED INDEX [IX_CampaignCustomer_CouponCode] ON [dbo].[CampaignCustomer] 
(
    [CouponCode] ASC
)WITH (PAD_INDEX  = OFF, STATISTICS_NORECOMPUTE  = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS  = ON, ALLOW_PAGE_LOCKS  = ON, FILLFACTOR = 20) ON [PRIMARY]
GO

We do pretty constant queries using the CouponCode and other foreign keys (not shown above for simplicity). The CampaignCustomer table has almost 4 million records and growing. We also do campaigns that don't require Coupon Codes and therefore we don't insert those records. Now we need to also start tracking those campaigns as well for another purpose. So we have 2 options:

  1. We change the CouponCode column ot allow nulls and create a unique filetered index to not include nulls and allow the table to grow even bigger and faster.
  2. Create a separate table for tracking all campaigns for this specific purpose.

Keep in mind that the CampaignCustomer table is used very often for redeeming coupons and inserting new ones. Bottom line is we don't want our customer to redeem a coupon and stay waiting until they give up or for other processes to fail. So, from an efficiency perspective, which option do you think is best and why?

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评论(2

っ左 2024-09-23 04:09:20

我会选择过滤索引...您存储相同的数据,因此将其保留在同一个表中。

当您可能不需要它并增加复杂性时,拆分表就是重构。

400 万行有问题吗?对于这么窄的桌子来说,这并不算多

I'd go for the filtered index... you're storing the same data so keep it in the same table.

Splitting the table is refactoring when you probably don't need it and adds complexity.

Do you have problems with 4 million rows? It's not that much especially for such a narrow table

生生漫 2024-09-23 04:09:20
  1. 我反对为了单列而使用重复表
  2. 允许优惠券代码为空意味着有人可能会意外创建一条值为 NULL 的记录,而它应该是

我要创建的 有效优惠券代码一个 couponcode ,指示为非优惠券,而不是求助于指示符列“isCoupon”或“isNonCouponCampaign”,并使用过滤索引来忽略“nocoupon”值。

这引出了我的下一点——我没有看到外键引用,但这对于了解存在哪些优惠券以及实际使用了哪些优惠券至关重要。现有表中的某些列可以移至父优惠券代码表...

  1. I'm against a duplicate table for the sake of a single column
  2. Allowing the couponcode to be null means that someone could accidentally create a record where the value is NULL when it should be a valid couponcode

I would create a couponcode that indicates as being a non-coupon rather than resorting to indicator columns "isCoupon" or "isNonCouponCampaign", and use a filtered index to ignore the "nocoupon" value.

Which leads to my next point - I don't see a foreign key reference, but it would be key to knowing what coupons existed and which ones were actually used. Some of the columns in the existing table could be moved up to the parent couponcode table...

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