SSRS报表-级联筛选参数刷新后不能默认全选 -问题解决方案

好久没有写博客了,最近更新完善修复了SSRS报表的一些问题,和大家分享。

问题描述:

报表中,区域->专区->省份->地级市 此四个筛选参数是联动的,在DataSet中前一父级参数作为where条件带入。

现在发现问题是:开始打开报表时,所有都是全选,OK!然后都选一个区域,比如华南,专区也自动筛选啊全选,OK!但是再次重新勾选两个区域,如'华南,京津冀蒙',专区虽然下拉选框中正确显示了所属级联的专区字段,但是却没有全部勾选上!

Step1:如图1中父级参数:区域。在第一次打开报表后默认全选,子节点专区全部正常,且全部默认全选。

Step2: 区域中选择,华南后,子级节点默认全选华南所属专区,正常。

Step3: 当再次复选或者重新全选父节点只有,子节点数据也全部刷新,但是并没有默认全选如图2,导致用户查询数据结果仍是上一次查询结果。

如下图:

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alt="" width="220" height="336" />SSRS报表-级联筛选参数刷新后不能默认全选 -问题解决方案SSRS报表-级联筛选参数刷新后不能默认全选 -问题解决方案

网上看了很多,google也找了很多,大家都一认为这是微软产品的一个BUG,,我也确实这么认为。

http://www.bigresource.com/MS_SQL--Select-All-in-multi-select-enabled-drop-down-parameters-doesn-039-t-work-X2yNAQAW.html

解决方案:

之前有网友提供了两种解决方案:

1.返回的数据集添加了一个all选项,排在第一行,然后存储过程中去判断传入的是否含有all,有的话就不加筛选条件,否则就用in来处理。

<这个我最开始也是这样做的,但是后来我们添加了对于参数的权限管理,根据每个人的AD账号给予对应区域权限显示,所以添加ALL字段反而对于procedure里的参数分支判断更为复杂,所以摒弃!>

2.开发是通过reportview控件的话直接用C#开发的网页,当父项参数选定后,C#会获取其所对应的所有子项参数,然后刷新报表,把子项参数传过去。

<因为我是用VS中直接新建的'报表服务器项目'解决方案,然后直接部署到sharepoint上,所以不好集成,此方案摒弃!>

3.重点:

参考了一篇twitter上某大神分享的文章,是一种workaround的方案,可以说是迂回方案吧,完美解决!所以接下来我讲一下重点步骤。

注:英文原版,请直接移步文章:http://www.bp-msbi.com/2011/04/ssrs-cascading-parameters-refresh-solved/

原理也没看很明白,大致是说,微软认为应该保留上一次未更改的筛选数据,所以我们的解决思路就是:

STEP1:让每一次DataSet集合返回的key值字段都是不同的(label字段不变),所以用newid()函数拼接一个新字段,作为参数取用的时候在截取所需字段即可。

STEP2:改设原参数为internal(内部参数),增加一个新参数获取原参数的值<value>和标签<label>,并修改对于获取事实表即显示在table中的dataset的存储过程中,参数传值改为新的参数。

STEP3:设置完后正常应该已经OK了,但是如果你在级联参数之前还有其他的,则需要设置默认值,这样才会自动加载,否则必须前面所有参数值选定之后,才会显现效果!

以下是修改后存储过程:

区域字段:REGIONLIST_procedure

 USE [DM_ACCN_T1]
GO /****** Object: StoredProcedure [dbo].[SSRS_PARAM_CONREGION_LIST] Script Date: 2016/8/5 11:38:39 ******/
SET ANSI_NULLS ON
GO SET QUOTED_IDENTIFIER ON
GO -- =============================================
-- Author: Ammy Guo
-- Create date: 2016/06/24
-- Description: SSRS_RAW_DISTBO
-- =============================================
CREATE PROCEDURE [dbo].[SSRS_PARAM_CONREGION_LIST] @UserName VARCHAR(20)
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
DECLARE @ConRegion_Code NVARCHAR(500)
DECLARE @Aera_Code NVARCHAR(10) SELECT DISTINCT @ConRegion_Code=REGION_EN, @Aera_Code=AREA_CODE FROM [DM_ACCN_T1].[dbo].[CB_UI_MS_DIMENSION_SECURITY]
WHERE USERID=@UserName AND [SOURCE]='ACCN_T1 Raw Data' IF(charindex('*',@ConRegion_Code)>0)
BEGIN
IF @Aera_Code='CHINA'
BEGIN
--SELECT 'ALL'AS CON_REGION_CODE,'ALL'AS CON_REGION_EN,'ALL'AS CON_REGION_CN
--UNION ALL
SELECT DISTINCT CON_REGION_CODE, CON_REGION_EN, CON_REGION_CN
FROM CB_GEOGRAPHY WHERE AREA_CODE='CHINA'
END
ELSE IF @Aera_Code='HONGKONG'
BEGIN
--SELECT 'ALL'AS CON_REGION_CODE,'ALL'AS CON_REGION_EN,'ALL'AS CON_REGION_CN
--UNION ALL
SELECT DISTINCT CON_REGION_CODE, CON_REGION_EN, CON_REGION_CN
FROM CB_GEOGRAPHY WHERE AREA_CODE='HONGKONG'
END
ELSE
BEGIN
SELECT DISTINCT CON_REGION_CODE, CON_REGION_EN, CON_REGION_CN FROM CB_GEOGRAPHY
END
END
ELSE
BEGIN
--SELECT 'ALL'AS CON_REGION_CODE,'ALL'AS CON_REGION_EN,'ALL'AS CON_REGION_CN
--UNION ALL
SELECT DISTINCT B.CON_REGION_CODE as CON_REGION_CODE,REGION_EN as CON_REGION_EN,B.CON_REGION_CN as CON_REGION_CN FROM [DM_ACCN_T1].[dbo].[CB_UI_MS_DIMENSION_SECURITY] A
LEFT OUTER JOIN CB_GEOGRAPHY B ON A.REGION_EN=B.CON_REGION_EN
WHERE USERID=@UserName AND [SOURCE]='ACCN_T1 Raw Data'
END END GO

专区字段:SUBREGION_procedure

CREATE PROCEDURE [dbo].[SSRS_PARAM_CONSUBREGION_LIST] 

    @UserName VARCHAR(20),
@CON_REGION VARCHAR(MAX)
AS
BEGIN SET NOCOUNT ON; DECLARE @GID VARCHAR(36)=CONVERT(varchar(36),NEWID()); SELECT DISTINCT
CONVERT(VARCHAR(10),CON_SUBREIGON_CODE)+@GID AS CON_SUBREIGON_CODE,
CON_SUBREGION_EN, CON_SUBREION_CN
FROM CB_GEOGRAPHY
WHERE (CON_REGION_EN IN (SELECT value from [dbo].[fnSplitStr](@CON_REGION,','))) END

省份字段:PROVINCE_procedure

CREATE PROCEDURE [dbo].[SSRS_PARAM_PROVINCE_LIST] 

    @UserName VARCHAR(20),
@CON_REGION VARCHAR(MAX),
@CON_SUBREGION VARCHAR(MAX)
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON; DECLARE @GID VARCHAR(36)=CONVERT(varchar(36),NEWID()); SELECT DISTINCT CONVERT(VARCHAR(10),PROVINCE_CODE) + @GID AS PROVINCE_CODE,
PROVINCE_CN FROM CB_GEOGRAPHY
WHERE CON_REGION_EN IN (SELECT value from [dbo].[fnSplitStr](@CON_REGION,','))
AND CON_SUBREIGON_CODE IN (SELECT REPLACE(value,RIGHT(value,36),'') from [dbo].[fnSplitStr](@CON_SUBREGION,','))
ORDER BY PROVINCE_CN ASC END

地级市字段:DIJISHI_procedure

CREATE PROCEDURE [dbo].[SSRS_PARAM_DIJICITY_LIST] 

    @UserName VARCHAR(20),
@CON_REGION VARCHAR(MAX),
@CON_SUBREGION VARCHAR(MAX),
@PROVINCE VARCHAR(MAX)
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON; DECLARE @GID VARCHAR(36)=CONVERT(varchar(36),NEWID());
SELECT DISTINCT CONVERT(VARCHAR(10),DIJI_CITY_CODE) + @GID AS DIJI_CITY_CODE,
DIJI_CITY_NAME_CN FROM CB_GEOGRAPHY
WHERE CON_REGION_EN IN (SELECT value from [dbo].[fnSplitStr](@CON_REGION,','))
AND CON_SUBREIGON_CODE IN (SELECT REPLACE(value,RIGHT(value,36),'') from [dbo].[fnSplitStr](@CON_SUBREGION,','))
AND PROVINCE_CODE IN (SELECT REPLACE(value,RIGHT(value,36),'') from [dbo].[fnSplitStr](@PROVINCE,','))
order by DIJI_CITY_CODE desc END

接下来是报表DEALERSTOCK.rdl的改动(如DealerStock):

aaarticlea/png;base64,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" 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" 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接下来给开始日期和结束日期增加了一个默认值,做法是:添加了一个共用数据集,已文本形式编写的一句简单sql获取当天时间为开始时间和结束时间作为默认值,注意是:date类型。

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*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" 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获取时间:sql juery text

SELECT CAST(CONVERT(VARCHAR(10),GETDATE(),111)AS DATE) AS STARTDATE,CAST(CONVERT(VARCHAR(10),GETDATE(),111)AS DATE) AS ENDDATE

最后注意别忘了,事实集dataset的procedure要修改传入的参数,并且注意where条件中参数的截取:

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" 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" alt="" width="832" height="200" />

完成效果(这个workaround方案会导致第一次打开报表时,就会加载报表数据-因为所有参数已经默认完成。):

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" alt="" 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" 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" 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