我有两张桌子.表 A 有日期、ISBN(书籍)、需求(该日期的需求).表 B 包含日期、ISBN(用于图书)和 SalesRank.
I have 2 tables. Table A has Date, ISBN (for Book), Demand(demand for that date). Table B has Date, ISBN (for Book), and SalesRank.
样本数据如下:DailyBookFile 的每个日期都有 150k 条记录,从 2010 年开始(即 150k * 365 天 * 8 年)行.每个日期大约有 50 万条记录的 SalesRank 表也是如此
The sample data is as follows: The DailyBookFile has 150k records for each date, from year 2010 (i.e. 150k * 365 days * 8 years) rows. Same goes with SalesRank Table having about 500k records for each date
DailyBookFile
Date Isbn13 CurrentModifiedDemandTotal
20180122 9780955153075 13
20180122 9780805863567 9
20180122 9781138779396 1
20180122 9780029001516 9
20180122 9780470614150 42
SalesRank
importdate ISBN13 SalesRank
20180122 9780029001516 69499
20180122 9780470614150 52879
20180122 9780805863567 832429
20180122 9780955153075 44528
20180122 9781138779396 926435
Required Output
Date Avg_Rank Book_Group
20180122 385154 Elite
20180121 351545 Elite
20180120 201545 Elite
我想获取每天的 Top 200 CurrentModifiedDemand,并取平均排名.
I want to get the Top 200 CurrentModifiedDemand for each day, and take the average Rank.
我无法找到解决方案,因为我是 SQL 新手.
I am unable to work out a solution as I am new to SQL.
我从昨天获得了前 200 名 CurrentModifiedDemand 开始,然后获得了去年的平均排名.
I started with getting the Top 200 CurrentModifiedDemand for yesterday and get the Avg Rank over last year.
SELECT DBF.Filedate AS [Date],
AVG(AMA.SalesRank) AS Avg_Rank,
'Elite' AS Book_Group
FROM [ODS].[wholesale].[DailyBookFile] AS DBF
INNER JOIN [ODS].[MarketplaceMonitor].[SalesRank] AS AMA ON (DBF.Isbn13 = AMA.ISBN13
AND DBF.FileDate = AMA.importdate)
WHERE DBF.Isbn13 IN (SELECT TOP 200 Isbn13
FROM [ODS].[wholesale].[DailyBookFile]
WHERE FileDate = 20180122
AND CAST(CurrentModifiedDemandTotal AS int) > 200)
AND DBF.Filedate > 20170101
GROUP BY DBF.Filedate;
但结果不是我想要的.所以,现在我想要每天前 200 名 CurrentModifiedDemand 的 ISBN 及其平均排名.我试过了.
But the result is not what I want. So, now I want the ISBN for the Top 200 CurrentModifiedDemand for each day and their avg rank. I tried with this.
DECLARE @i int;
SET @i = 20180122;
WHILE (SELECT DISTINCT(DBF.Filedate)
FROM [ODS].[wholesale].[DailyBookFile] AS DBF
WHERE DBF.Filedate = @i) IS NOT NULL
BEGIN
SELECT DBF.Filedate AS [Date],
AVG(AMA.SalesRank) AS Avg_Rank,
'Elite' AS Book_Group
FROM [ODS].[wholesale].[DailyBookFile] AS DBF
INNER JOIN [ODS].[MarketplaceMonitor].[SalesRank] as AMA ON DBF.Isbn13 = AMA.ISBN13
AND DBF.FileDate = AMA.importdate
WHERE DBF.Isbn13 in (SELECT TOP 200 Isbn13
FROM [ODS].[wholesale].[DailyBookFile]
WHERE FileDate = @i
AND CAST (CurrentModifiedDemandTotal AS int) > 500)
AND DBF.Filedate = @i
GROUP BY DBF.Filedate;
SET @i = @i+1;
END
在这里,我在每个窗口中得到一个选择查询结果.有没有办法把结果放在一个表中?
In this I am getting one select query result in each window. Is there any way to have the result in a single table?
附言每天前 200 本书的列表会根据 CurrentModifiedDemand 变化.我想取他们的平均值.当天的销售排名.
P.S. The list of top 200 books every day will change according to the CurrentModifiedDemand. I want to take their avg. sales rank for that day.
您可以将行插入临时表(或表类型变量)并在循环完成后选择所有内容,而不是在循环的每次迭代中立即选择:
Instead of immediately selecting in each iteration of the loop, you can insert rows to temp table (or table-type variable) and select everything after the loop finishes:
IF OBJECT_ID('tempdb..#books') IS NOT NULL
BEGIN
DROP TABLE #books
END
CREATE TABLE #books (
[Date] INT,
[Avg_Rank] FLOAT,
[Book_Group] VARCHAR(512)
);
DECLARE @i int;
SET @i = 20180122;
BEGIN TRY
WHILE (SELECT DISTINCT(DBF.Filedate)
FROM [ODS].[wholesale].[DailyBookFile] AS DBF
WHERE DBF.Filedate = @i) IS NOT NULL
BEGIN
INSERT INTO #books (
[Date],
[Avg_Rank],
[Book_Group]
)
SELECT DBF.Filedate AS [Date],
AVG(AMA.SalesRank) AS Avg_Rank,
'Elite' AS Book_Group
FROM [ODS].[wholesale].[DailyBookFile] AS DBF
INNER JOIN [ODS].[MarketplaceMonitor].[SalesRank] as AMA ON DBF.Isbn13 = AMA.ISBN13
AND DBF.FileDate = AMA.importdate
WHERE DBF.Isbn13 in (SELECT TOP 200 Isbn13
FROM [ODS].[wholesale].[DailyBookFile]
WHERE FileDate = @i
AND CAST (CurrentModifiedDemandTotal AS int) > 500)
AND DBF.Filedate = @i
GROUP BY DBF.Filedate;
SET @i = @i+1;
END
END TRY
BEGIN CATCH
IF OBJECT_ID('tempdb..#books') IS NOT NULL
BEGIN
DROP TABLE #books
END
END CATCH
SELECT *
FROM #books
DROP TABLE #books
使用表类型变量会产生更简单的代码,但是当存储大量数据时,表类型变量开始失去对临时表的性能.我不确定有多少行是截止的,但根据我的经验,我看到在 10000+ 行计数时将 table-type var 更改为 temp table 显着提高了性能.对于小行数,可能适用相反的情况.
Using table-type variable would yield simpler code, but when storing large amounts of data table-type variables start losing in performance against temp tables. I'm not sure how many rows is a cut-off, but in my experience I've seen significant performance gains from changing table-type var to temp table at 10000+ row counts. For small row counts an opposite might apply.
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