Reputation: 9692
In my table view i have 4 scalar functions to be called. eg:
CREATE view [SUMMARY]
AS
SELECT [Code] ,
...
dbo.[udf_REPORTTYPE](ts.LegTankSystemId,ReportingDate,analysis.[AnalysisTypeName]) as ReportingType ,
dbo.[udf_WATER](ts.SystemId,LastObsDate) as WaterReading,
case when analysis.LastObsDate is null then NULL else dbo.[udf_BJs_GENERAL](ts.LegTankSystemId,ISNULL(analysis.LastObsDate, ssd.ReportingDate)) end as [1Plus130_Reslut],
(CASE WHEN State ='NY' THEN dbo.[udf_NY](ts.SystemId,LastObsDate)
WHEN State ='CT' THEN dbo.[udf_CT] (ts.SystemId,LastObsDate)
END) AS State_SIR_Result
FROM LOBDW.SITE dimsite
LEFT JOIN [bjs].[udv_TANK] ts on dimsite.SiteId = ts.SiteId
...
In those scalar function I read same parameter and doing different calculations.
To return 400 rows My view takes more than 1 minute. It is really bad. How Can I improve the performance of those scalar functions? Is there a way to define global variable from one function and use that in another function if both functions requires same data?
eg function;
CREATE FUNCTION [dbo].[udf_REPORTTYPE]
(
@TankSystemId int,
@TimeStamp datetime2(7),
@AnalysisTypeName varchar(10)
)
RETURNS varchar(10)
AS
BEGIN
DECLARE @ReportType varchar(10);
DECLARE @TimePeriod datetime2(7)
DECLARE @LatestAnalysisDate datetime2(7)
SELECT TOP 1 @TimePeriod = Date FROM udv_DailySiraData where TankSystemId=@TankSystemId ORDER BY Date DESC
SELECT TOP 1 @LatestAnalysisDate = LastObsDate FROM [udv_ANALYSES] where TankSystemId =@TankSystemId ORDER BY LastObsDate DESC
SET @ReportType=@AnalysisTypeName
IF ((@TimePeriod>=@TimeStamp) AND (@LatestAnalysisDate < @TimeStamp) AND @AnalysisTypeName IS NULL)
SET @ReportType = 'No Analysis Result';
IF ((@TimePeriod>=@TimeStamp) AND @AnalysisTypeName IS NULL)
SET @ReportType = 'Latest';
RETURN @ReportType;
END;
Upvotes: 2
Views: 695
Reputation: 12938
Here's a CTE alternative to the OUTER APPLY, although I'm sure that works just fine...
WITH TimePeriods AS (
SELECT
TankSystemId,
TimePeriod = MAX(Date)
FROM
udv_DailySiraData
GROUP BY
TankSystemId
), AnalysisDates AS (
SELECT
TankSystemId,
LatestAnalysisDate = MAX(LastObsDate)
FROM
udv_ANALYSES
GROUP BY
TankSystemId
)
SELECT
...
ReportingType =
CASE
WHEN tp.TimePeriod >= ReportingDate AND ad.LatestAnalysisDate < ReportingDate AND analysis.AnalysisTypeName IS NULL THEN 'No Analysis Result'
WHEN tp.TimePeriod >= ReportingDate AND analysis.AnalysisTypeName IS NULL THEN 'Latest'
ELSE analysis.AnalysisTypeName
END,
...
FROM
LOBDW.SITE dimsite
LEFT JOIN
bjs.udv_TANK ts
ON dimsite.SiteId = ts.SiteId
LEFT JOIN
TimePeriods tp
ON ts.LegTankSystemId = tp.TankSystemId
LEFT JOIN
AnalysisDates ad
ON ts.LegTankSystemId = tp.TankSystemId
Upvotes: 1
Reputation: 24763
you can convert your UDF to OUTER APPLY , something like this
SELECT [Code] ,
...
--dbo.[udf_REPORTTYPE](ts.LegTankSystemId,ReportingDate,analysis.[AnalysisTypeName]) as ReportingType , -- change from UDF to Outer Apply
RT.ReportingType,
dbo.[udf_WATER](ts.SystemId,LastObsDate) as WaterReading,
case when analysis.LastObsDate is null then NULL else dbo.[udf_BJs_GENERAL](ts.LegTankSystemId,ISNULL(analysis.LastObsDate, ssd.ReportingDate)) end as [1Plus130_Reslut],
(CASE WHEN State ='NY' THEN dbo.[udf_NY](ts.SystemId,LastObsDate)
WHEN State ='CT' THEN dbo.[udf_CT] (ts.SystemId,LastObsDate)
END) AS State_SIR_Result
FROM LOBDW.SITE dimsite
LEFT JOIN [bjs].[udv_TANK] ts on dimsite.SiteId = ts.SiteId
OUTER APPLY -- convert from udf_REPORTTYPE
(
SELECT ReportingType =
CASE WHEN MAX(x.DATE) >= ssd.ReportingDate
AND MAX(y.LastObsDate) < ssd.ReportingDate
AND analysis.[AnalysisTypeName] iS NULL
THEN 'No Analysis Result'
WHEN MAX(x.DATE) >= ssd.ReportingDate
AND analysis.[AnalysisTypeName] iS NULL
THEN 'Latest'
ELSE analysis.[AnalysisTypeName]
END
FROM udv_DailySiraData x
INNER JOIN udv_ANALYSES y ON x.TankSystemId = y.TankSystemId
WHERE x.TankSystemId = ts.LegTankSystemId
) RT
Upvotes: 3