I have a SqlServer 2000 running 7 databases. One in particular is slower
than the rest specificaly on certain tables. It seems the problem comes
from the volume of data, but I don't think 3000 lines can be considered a
big table. I have indexes on the principal keys, but it did not help.
thank you
We are using the Import/Export wizard to create some simple packages to transfer tables. When doing a lrge number of tables, the 'Optimize for many tables' option is automatically selected (as noted in BOL). What we've found is that the package creates a bunch of temp files in the creator's Documents and Settings....Temp folder. Needless to say this package cannot be re-run later, nor scheduled, since the path referenced doesn't necessarily exist on the server. Is there a way to specify where these files should be created so thatthe package is re-usable and still be optimized?
Steve
Hi.I have a sql: 1 SELECT ForumID, Title, Description,2 (SELECT PostID3 FROM (SELECT TOP (1) PostID4 FROM Forum_Posts5 WHERE (ForumID = Forum_Forums.ForumID)6 ORDER BY PostedDate DESC) AS derivedtbl_1) AS LastPostID,7
8
9 (SELECT Title10 FROM (SELECT TOP (1) Title11 FROM Forum_Posts12 WHERE (ForumID = Forum_Forums.ForumID)13 ORDER BY PostedDate DESC) AS derivedtbl_2) AS LastPostTitle,14
15 (SELECT PostedBy16 FROM (SELECT TOP (1) PostedBy17 FROM Forum_Posts18 WHERE (ForumID = Forum_Forums.ForumID)19 ORDER BY PostedDate DESC) AS derivedtbl_3) AS PostedBy20 FROM Forum_Forums21 WHERE (BoardID = @BoardID)I must use this code 3 times: SELECT TOP (1) PostID / Title / PostedBy FROM Forum_Posts WHERE (ForumID = Forum_Forums.ForumID)ORDER BY PostedDate DESCPlease help me optimize this.
A table fin_cutoff contains following type of data.
fin_beg_dt | fin_end_dt
------------------------------------------------
2005-12-01 00:00:00.000 | 2005-12-31 00:00:00.000
2005-10-29 00:00:00.000 | 2005-12-01 00:00:00.000
2005-10-01 00:00:00.000 | 2005-10-29 00:00:00.000
I want to extract a row where the fin_beg_dt & fin_end_dt columns entries belong to current month
Following query is written for the same:
select fin_beg_dt,
fin_end_dt
from ecr_fin_cutoff
where month(fin_beg_dt_id) = month(getdate())
andyear(fin_dt_id)= year(getdate())
and month(fin_end_dt) = month(getdate())
and year(fin_end_dt)= year(getdate())
It is giving the appropriate results.
Please help me to optimize it.
Thanks in advance.
Shrirang
I have a sql such sa below:
select
coalesce(T1.LocalNetID, T2.LocalNetID)as LocalNetID,coalesce(T1.BSCID, T2.BSCID)as BSCID,coalesce(T1.SiteID, T2.SiteID)as SiteID, coalesce(T1.CellID, T2.CellID)as CellID,
coalesce(T1.StrTime, T2.StrTime) as StrTime,
C10701 as '10701',C11601 as '11601'from
(
--Start for Opt_Cell_pBasicM of inner table--
(
select
LocalNetID,BSCID,SiteID, CellID,
StrTime,RecordDataTime,
C11601
from
Opt_Cell_pBasicM
where
((LocalNetID = 13 and BSCID = 2))
and
((RecordDataTime between '2006-01-01 00:01:00' and '2006-01-01 12:00:00'))
and
(GranularityPeriod <= 12)
)
--End for Opt_Cell_pBasicM of inner table--
as T1
full outer join
--Start for Opt_Cell_pCellRadioM of inner table--
(
select
LocalNetID,BSCID, SiteID, CellID,
StrTime,RecordDataTime,
C10701
from
Opt_Cell_pCellRadioM
where
(
((LocalNetID = 13 and BSCID = 2))
and
((RecordDataTime between '2006-01-01 00:01:00' and '2006-01-01 12:00:00'))
and
(GranularityPeriod <= 12)
)
)
--End for Opt_Cell_pCellRadioM of inner table--
as T2
on coalesce(T1.LocalNetID,NULL) = T2.LocalNetID and coalesce(T1.BSCID,NULL) = T2.BSCID and coalesce(T1.SiteID,NULL) = T2.SiteID and coalesce(T1.CellID,NULL) = T2.CellID
and coalesce(T1.RecordDataTime,NULL) = T2.RecordDataTime
--End for first join--
)
when num of the records of Opt_Cell_pBasicM and Opt_Cell_pCellRadioM
is greater than 1000000, the speed is very slow , how to optimize it ?
thks
the sql of create table is below:
CREATE TABLE [dbo].[Examp] (
[LocalNetID] [int] NOT NULL ,
[BSCID] [int] NOT NULL ,
[SiteID] [int] NOT NULL ,
[CellID] [int] NOT NULL ,
[StrTime] [varchar] (30) COLLATE Chinese_PRC_CI_AS NOT NULL ,
[M1] [int] NULL ,
[M2] [int] NULL ,
[M3] [int] NULL ,
[M4] [int] NULL ,
[M5] [int] NULL ,
[M6] [int] NULL ,
[M7] [int] NULL ,
[M8] [int] NULL ,
[M9] [int] NULL ,
[M10] [int] NULL ,
[M11] [int] NULL ,
[M12] [int] NULL ,
[M13] [int] NULL ,
[M14] [int] NULL ,
[M15] [int] NULL ,
[M16] [int] NULL ,
[M17] [int] NULL ,
[M18] [int] NULL ,
[M19] [int] NULL ,
[M20] [int] NULL ,
[M21] [int] NULL ,
[M22] [int] NULL ,
[M23] [int] NULL ,
[M24] [int] NULL ,
[M25] [int] NULL ,
[M26] [int] NULL ,
[M27] [int] NULL ,
[M28] [int] NULL ,
[M29] [int] NULL ,
[M30] [int] NULL ,
[M31] [int] NULL ,
[M32] [int] NULL ,
[M33] [int] NULL ,
[M34] [int] NULL ,
[M35] [int] NULL ,
[M36] [int] NULL ,
[M37] [int] NULL ,
[M38] [int] NULL ,
[M39] [int] NULL ,
[M40] [int] NULL ,
[M41] [int] NULL ,
[M42] [int] NULL ,
[M43] [int] NULL ,
[M44] [int] NULL ,
[M45] [int] NULL ,
[M46] [int] NULL ,
[M47] [int] NULL ,
[M48] [int] NULL ,
[M49] [int] NULL ,
[M50] [int] NULL ,
[M51] [int] NULL ,
[M52] [int] NULL ,
[M53] [int] NULL ,
[M54] [int] NULL ,
[M55] [int] NULL ,
[M56] [int] NULL ,
[M57] [int] NULL ,
[M58] [int] NULL ,
[M59] [int] NULL ,
[M60] [int] NULL ,
[M61] [int] NULL ,
[M62] [int] NULL ,
[M63] [int] NULL ,
[M64] [int] NULL ,
[M65] [int] NULL ,
[M66] [int] NULL ,
[M67] [int] NULL ,
[M68] [int] NULL ,
[M69] [int] NULL ,
[M70] [int] NULL ,
[M71] [int] NULL ,
[M72] [int] NULL ,
[M73] [int] NULL ,
[M74] [int] NULL ,
[M75] [int] NULL ,
[M76] [int] NULL ,
[M77] [int] NULL ,
[M78] [int] NULL ,
[M79] [int] NULL ,
[M80] [int] NULL ,
[M81] [int] NULL ,
[M82] [int] NULL ,
[M83] [int] NULL ,
[M84] [int] NULL ,
[M85] [int] NULL ,
[M86] [int] NULL ,
[M87] [int] NULL ,
[M88] [int] NULL ,
[M89] [int] NULL ,
[M90] [int] NULL ,
[M91] [int] NULL ,
[M92] [int] NULL ,
[M93] [int] NULL ,
[M94] [int] NULL ,
[M95] [int] NULL ,
[M96] [int] NULL ,
[M97] [int] NULL ,
[M98] [int] NULL ,
[M99] [int] NULL ,
[M100] [int] NULL
)
and LocalNetID, BSCID, SiteID, CellID, StrTime are set index,
the sql i want to query is :
select
LocalNetID, BSCID, SiteID, CellID, StrTime,
Sum(M1) as M1,Sum(M2) as M2,Sum(M3) as M3,Sum(M4) as M4,Sum(M5) as M5,Sum(M6) as M6,Sum(M7) as M7,Sum(M8) as M8,Sum(M9) as M9,Sum(M10) as M10,Sum(M11) as M11,Sum(M12) as M12,Sum(M13) as M13,Sum(M14) as M14,Sum(M15) as M15,Sum(M16) as M16,Sum(M17) as M17,Sum(M18) as M18,Sum(M19) as M19,Sum(M20) as M20,Sum(M21) as M21,Sum(M22) as M22,Sum(M23) as M23,Sum(M24) as M24,Sum(M25) as M25,Sum(M26) as M26,Sum(M27) as M27,Sum(M28) as M28,Sum(M29) as M29,Sum(M30) as M30,Sum(M31) as M31,Sum(M32) as M32,Sum(M33) as M33,Sum(M34) as M34,Sum(M35) as M35,Sum(M36) as M36,Sum(M37) as M37,Sum(M38) as M38,Sum(M39) as M39,Sum(M40) as M40,Sum(M41) as M41,Sum(M42) as M42,Sum(M43) as M43,Sum(M44) as M44,Sum(M45) as M45,Sum(M46) as M46,Sum(M47) as M47,Sum(M48) as M48,Sum(M49) as M49,Sum(M50) as M50,Sum(M51) as M51,Sum(M52) as M52,Sum(M53) as M53,Sum(M54) as M54,Sum(M55) as M55,Sum(M56) as M56,Sum(M57) as M57,Sum(M58) as M58,Sum(M59) as M59,Sum(M60) as M60,Sum(M61) as M61,Sum(M62) as M62,Sum(M63) as M63,Sum(M64) as M64,Sum(M65) as M65,Sum(M66) as M66,Sum(M67) as M67,Sum(M68) as M68,Sum(M69) as M69,Sum(M70) as M70,Sum(M71) as M71,Sum(M72) as M72,Sum(M73) as M73,Sum(M74) as M74,Sum(M75) as M75,Sum(M76) as M76,Sum(M77) as M77,Sum(M78) as M78,Sum(M79) as M79,Sum(M80) as M80,Sum(M81) as M81,Sum(M82) as M82,Sum(M83) as M83,Sum(M84) as M84,Sum(M85) as M85,Sum(M86) as M86,Sum(M87) as M87,Sum(M88) as M88,Sum(M89) as M89,Sum(M90) as M90,Sum(M91) as M91,Sum(M92) as M92,Sum(M93) as M93,Sum(M94) as M94,Sum(M95) as M95,Sum(M96) as M96,Sum(M97) as M97,Sum(M98) as M98,Sum(M99) as M99,Sum(M100) as M100
from
(
select
LocalNetID, BSCID, SiteID, CellID, StrTime,
Sum(M1) as M1,Sum(M2) as M2,Sum(M3) as M3,Sum(M4) as M4,Sum(M5) as M5,Sum(M6) as M6,Sum(M7) as M7,Sum(M8) as M8,Sum(M9) as M9,Sum(M10) as M10,Sum(M11) as M11,Sum(M12) as M12,Sum(M13) as M13,Sum(M14) as M14,Sum(M15) as M15,Sum(M16) as M16,Sum(M17) as M17,Sum(M18) as M18,Sum(M19) as M19,Sum(M20) as M20,Sum(M21) as M21,Sum(M22) as M22,Sum(M23) as M23,Sum(M24) as M24,Sum(M25) as M25,Sum(M26) as M26,Sum(M27) as M27,Sum(M28) as M28,Sum(M29) as M29,Sum(M30) as M30,Sum(M31) as M31,Sum(M32) as M32,Sum(M33) as M33,Sum(M34) as M34,Sum(M35) as M35,Sum(M36) as M36,Sum(M37) as M37,Sum(M38) as M38,Sum(M39) as M39,Sum(M40) as M40,Sum(M41) as M41,Sum(M42) as M42,Sum(M43) as M43,Sum(M44) as M44,Sum(M45) as M45,Sum(M46) as M46,Sum(M47) as M47,Sum(M48) as M48,Sum(M49) as M49,Sum(M50) as M50,Sum(M51) as M51,Sum(M52) as M52,Sum(M53) as M53,Sum(M54) as M54,Sum(M55) as M55,Sum(M56) as M56,Sum(M57) as M57,Sum(M58) as M58,Sum(M59) as M59,Sum(M60) as M60,Sum(M61) as M61,Sum(M62) as M62,Sum(M63) as M63,Sum(M64) as M64,Sum(M65) as M65,Sum(M66) as M66,Sum(M67) as M67,Sum(M68) as M68,Sum(M69) as M69,Sum(M70) as M70,Sum(M71) as M71,Sum(M72) as M72,Sum(M73) as M73,Sum(M74) as M74,Sum(M75) as M75,Sum(M76) as M76,Sum(M77) as M77,Sum(M78) as M78,Sum(M79) as M79,Sum(M80) as M80,Sum(M81) as M81,Sum(M82) as M82,Sum(M83) as M83,Sum(M84) as M84,Sum(M85) as M85,Sum(M86) as M86,Sum(M87) as M87,Sum(M88) as M88,Sum(M89) as M89,Sum(M90) as M90,Sum(M91) as M91,Sum(M92) as M92,Sum(M93) as M93,Sum(M94) as M94,Sum(M95) as M95,Sum(M96) as M96,Sum(M97) as M97,Sum(M98) as M98,Sum(M99) as M99,Sum(M100) as M100
from
(
select
LocalNetID, BSCID, SiteID, CellID, StrTime,
Sum(M1) as M1,Sum(M2) as M2,Sum(M3) as M3,Sum(M4) as M4,Sum(M5) as M5,Sum(M6) as M6,Sum(M7) as M7,Sum(M8) as M8,Sum(M9) as M9,Sum(M10) as M10,Sum(M11) as M11,Sum(M12) as M12,Sum(M13) as M13,Sum(M14) as M14,Sum(M15) as M15,Sum(M16) as M16,Sum(M17) as M17,Sum(M18) as M18,Sum(M19) as M19,Sum(M20) as M20,Sum(M21) as M21,Sum(M22) as M22,Sum(M23) as M23,Sum(M24) as M24,Sum(M25) as M25,Sum(M26) as M26,Sum(M27) as M27,Sum(M28) as M28,Sum(M29) as M29,Sum(M30) as M30,Sum(M31) as M31,Sum(M32) as M32,Sum(M33) as M33,Sum(M34) as M34,Sum(M35) as M35,Sum(M36) as M36,Sum(M37) as M37,Sum(M38) as M38,Sum(M39) as M39,Sum(M40) as M40,Sum(M41) as M41,Sum(M42) as M42,Sum(M43) as M43,Sum(M44) as M44,Sum(M45) as M45,Sum(M46) as M46,Sum(M47) as M47,Sum(M48) as M48,Sum(M49) as M49,Sum(M50) as M50,Sum(M51) as M51,Sum(M52) as M52,Sum(M53) as M53,Sum(M54) as M54,Sum(M55) as M55,Sum(M56) as M56,Sum(M57) as M57,Sum(M58) as M58,Sum(M59) as M59,Sum(M60) as M60,Sum(M61) as M61,Sum(M62) as M62,Sum(M63) as M63,Sum(M64) as M64,Sum(M65) as M65,Sum(M66) as M66,Sum(M67) as M67,Sum(M68) as M68,Sum(M69) as M69,Sum(M70) as M70,Sum(M71) as M71,Sum(M72) as M72,Sum(M73) as M73,Sum(M74) as M74,Sum(M75) as M75,Sum(M76) as M76,Sum(M77) as M77,Sum(M78) as M78,Sum(M79) as M79,Sum(M80) as M80,Sum(M81) as M81,Sum(M82) as M82,Sum(M83) as M83,Sum(M84) as M84,Sum(M85) as M85,Sum(M86) as M86,Sum(M87) as M87,Sum(M88) as M88,Sum(M89) as M89,Sum(M90) as M90,Sum(M91) as M91,Sum(M92) as M92,Sum(M93) as M93,Sum(M94) as M94,Sum(M95) as M95,Sum(M96) as M96,Sum(M97) as M97,Sum(M98) as M98,Sum(M99) as M99,Sum(M100) as M100
from
(
select
LocalNetID, BSCID, SiteID, CellID, StrTime,
Sum(M1) as M1,Sum(M2) as M2,Sum(M3) as M3,Sum(M4) as M4,Sum(M5) as M5,Sum(M6) as M6,Sum(M7) as M7,Sum(M8) as M8,Sum(M9) as M9,Sum(M10) as M10,Sum(M11) as M11,Sum(M12) as M12,Sum(M13) as M13,Sum(M14) as M14,Sum(M15) as M15,Sum(M16) as M16,Sum(M17) as M17,Sum(M18) as M18,Sum(M19) as M19,Sum(M20) as M20,Sum(M21) as M21,Sum(M22) as M22,Sum(M23) as M23,Sum(M24) as M24,Sum(M25) as M25,Sum(M26) as M26,Sum(M27) as M27,Sum(M28) as M28,Sum(M29) as M29,Sum(M30) as M30,Sum(M31) as M31,Sum(M32) as M32,Sum(M33) as M33,Sum(M34) as M34,Sum(M35) as M35,Sum(M36) as M36,Sum(M37) as M37,Sum(M38) as M38,Sum(M39) as M39,Sum(M40) as M40,Sum(M41) as M41,Sum(M42) as M42,Sum(M43) as M43,Sum(M44) as M44,Sum(M45) as M45,Sum(M46) as M46,Sum(M47) as M47,Sum(M48) as M48,Sum(M49) as M49,Sum(M50) as M50,Sum(M51) as M51,Sum(M52) as M52,Sum(M53) as M53,Sum(M54) as M54,Sum(M55) as M55,Sum(M56) as M56,Sum(M57) as M57,Sum(M58) as M58,Sum(M59) as M59,Sum(M60) as M60,Sum(M61) as M61,Sum(M62) as M62,Sum(M63) as M63,Sum(M64) as M64,Sum(M65) as M65,Sum(M66) as M66,Sum(M67) as M67,Sum(M68) as M68,Sum(M69) as M69,Sum(M70) as M70,Sum(M71) as M71,Sum(M72) as M72,Sum(M73) as M73,Sum(M74) as M74,Sum(M75) as M75,Sum(M76) as M76,Sum(M77) as M77,Sum(M78) as M78,Sum(M79) as M79,Sum(M80) as M80,Sum(M81) as M81,Sum(M82) as M82,Sum(M83) as M83,Sum(M84) as M84,Sum(M85) as M85,Sum(M86) as M86,Sum(M87) as M87,Sum(M88) as M88,Sum(M89) as M89,Sum(M90) as M90,Sum(M91) as M91,Sum(M92) as M92,Sum(M93) as M93,Sum(M94) as M94,Sum(M95) as M95,Sum(M96) as M96,Sum(M97) as M97,Sum(M98) as M98,Sum(M99) as M99,Sum(M100) as M100
from
(
select
LocalNetID, BSCID, SiteID, CellID, StrTime,
M1 , M2 , M3 , M4 , M5 , M6 , M7 , M8 , M9 , M10 ,M11 , M12 , M13 , M14 , M15 , M16 , M17 , M18 , M19 , M20 ,M21 , M22 , M23 , M24 , M25 , M26 , M27 , M28 , M29 , M30 ,M31 , M32 , M33 , M34 , M35 , M36 , M37 , M38 , M39 , M40 ,M41 , M42 , M43 , M44 , M45 , M46 , M47 , M48 , M49 , M50 ,M51 , M52 , M53 , M54 , M55 , M56 , M57 , M58 , M59 , M60 ,M61 , M62 , M63 , M64 , M65 , M66 , M67 , M68 , M69 , M70 ,M71 , M72 , M73 , M74 , M75 , M76 , M77 , M78 , M79 , M80 ,M81 , M82 , M83 , M84 , M85 , M86 , M87 , M88 , M89 , M90 ,M91 , M92 , M93 , M94 , M95 , M96 , M97 , M98 , M99 , M100
from examp
) as T1
group by
LocalNetID, BSCID, SiteID, CellID, StrTime
) as T2
group by
LocalNetID, BSCID, SiteID, CellID, StrTime
) as T3
group by
LocalNetID, BSCID, SiteID, CellID, StrTime
) as T4
group by
LocalNetID, BSCID, SiteID, CellID, StrTime
when there is no data in table, it will take more than 3 minutes on my computer!
how can i optimize the sql to speed it?
thks
It's bad enough that SQL CE 2.0 doesn't support views, when I use "LIKE" in a SELECT statement (eg., SELECT ... WHERE fldname LIKE '%word%'), the response is terrible to the point that it doesn't come back. In my case, the 'word' can be anywhere in 'fldname'.
How do you optimize the LIKE operator? I created an index on the field but it didn't make a bit of difference.
Thank you.
Hello friends,
I’m facing performance related problem while running following query on SQL Server 2000.
This query is basically used to find last location of each unit that are passed. Here I am passing data like “‘26','27','28','29','30','31','32','33','34','35','36','37','38','39','40','41','42','43','44','45','46','47','48','49','50'" in @Units variable. But it takes too much time and I don’t get output. Table is having around 5 Million records.
Query:
SELECT Alias, tblUnit.UnitID, Location, Latitude, Longitude,Convert(varchar(10),UnitHistoryDate,1) + ' ' + substring(Convert(varchar(40),UnitHistoryDate,109),12,9) + ' ' + substring(Convert(varchar(40),UnitHistoryDate,109),25,2) as [Date/Time], unithistoryid
FROM tblUnit INNER JOIN
tblUnitHistory ON tblUnit.UnitID = tblUnitHistory.UnitID
WHERE tblUnitHistory.UnitHistoryDate
IN (SELECT MAX(UnitHistoryDate) FROM tblUnitHistory WHERE tblUnitHistory.UnitID in (' + @Units + ') GROUP BY tblUnitHistory.UnitID)
AND tblUnit.UnitID in (' + @Units + ')
ORDER BY tblUnit.UnitID
Table Structure:
UnitHistoryID int Primary Key
UnitID int
Location varchar(200)
Latitude decimal 9
Longitude decimal 9
Speed decimal 5
BatteryVoltage decimal 5
ReasonCode int
DistanceFromLastLocation decimal 9
UnitHistoryDate datetime
Indexes:
1. Clustered Index on Column UnitID
2. Non-clustered Index on Column UnitHistoryDate
3. Non-clustered Index on Column UnitHistoryID
Please help me to write optimize query and suggest me the steps to require making this query faster. Any help is appreciated. Thanks in advance.
Regards,
Sandeep
I have a nightly job that aggregates data into a summary table. Each night, an additional item may or may not be added, so the table is cleared and repopulated. I've got this working fine. Now, I am being asked to track when an item first appears in the summary table. Here is the code I am using to do this. I realize it is very poor performance, but I don't know how to make it better.
MyTable Columns: id INT PK ,v1 VARCHAR(4) ,v2 VARCHAR(10 ,v3 DECIMAL ,item1 BIT ,item2 BIT ,item3 BIT
MyTable2 Columns: v1 VARCHAR(4) ,v2 VARCHAR(10 ,v3 DECIMAL ,item INT ,FirstKnownDate DATETIME
All columns are NOT NULL.1 DECLARE @iNextRowID INT
2 ,@iCurrentRowID INT
3 ,@iLoopControl INT
4 ,@v1 VARCHAR(4)
5 ,@v2 VARCHAR(10)
6 ,@v3 DECIMAL
7
8 /* This is a loop that executes for a dynamic number of items, eg item1=1, then item2=1, etc */
9 SET @iLoopControl=1
10 SELECT @iNextRowID=MIN(id) FROM MyTable WHERE item1=1
11
12 IF ISNULL(@iNextRowID,0) <> 0 BEGIN
13 SELECT @iCurrentRowID = id
14 ,@v1 = v1
15 ,@v2 = v2
16 ,@v3 = v3
17 FROM MyTable
18 WHERE id=@iNextRowID
19
20 WHILE @iLoopControl = 1 BEGIN
21 IF NOT EXISTS(SELECT * FROM MyTable2 WHERE v1=@v2 AND v2=@v2 AND v3=@v3 AND item=1) BEGIN
22 INSERT INTO MyTable2
23 /* COLUMN */ (v1,v2,v3,item,firstknowndate)
24 SELECT @v1, @v2, @v3, 1, GETDATE()
25 END
26
27 SELECT @iNextRowID = NULL
28 SELECT @iNextRowID = MIN(id) FROM MyTable WHERE id>@iCurrentRowID AND item1=1
29
30 IF ISNULL(@iNextRowID,0) = 0 BEGIN
31 BREAK
32 END
33
34 SELECT @iCurrentRowID = id
35 ,@v1 = v1
36 ,@v2 = v2
37 ,@v3 = v3
38 FROM MyTable
39 WHERE id=@iNextRowID
40 END
41 END42 /* This is the end of the items loop */
This query takes 5 minutes to do straight inserts without the test for exists in the loop for 3 items. MyTable has just under 96,000 rows in it. MyTable2 has 121,857 rows in it. It is not about 55 minutes and it is still running with the exists so that a row isn't inserted twice. Is there anything I can do to optimize this? EDIT: The query just finished running again with the test for exists on each row. It shouldn't have inserted any new rows, but it took 57 minutes and inserted another 114,115 rows. Not good. Anyone see what is wrong with the query?
Hello, I have three sql select statments I would like to combine into one. I have created a statment that works but I am not sure if it is a good solution performance wise. Is there a better way to run this query?
Thanks Very Much!!
if exists (Select Top 1 snapsht_id, snpsht_flname, site_url, iWidth, iHeight, isFullPage, fp_flname, fp_iWidth, fp_iHeight
From SiteIndex Where update_freq = 0 and nextupdate < GetDate() Order By nextupdate)
Begin
Select Top 1 snapsht_id, snpsht_flname, site_url, iWidth, iHeight, isFullPage, fp_flname, fp_iWidth, fp_iHeight
From SiteIndex Where update_freq = 0 and nextupdate < GetDate() Order By nextupdate
End
else
if exists (Select Top 1 snapsht_id, snpsht_flname, site_url, iWidth, iHeight, isFullPage, fp_flname, fp_iWidth, fp_iHeight
From SiteIndex Where nextupdate < GetDate() Order By importance desc)
begin
Select Top 1 snapsht_id, snpsht_flname, site_url, iWidth, iHeight, isFullPage, fp_flname, fp_iWidth, fp_iHeight
From SiteIndex Where nextupdate < GetDate() Order By importance desc
end
else
Select Top 1 snapsht_id, snpsht_flname, site_url, iWidth, iHeight, isFullPage, fp_flname, fp_iWidth, fp_iHeight
From SiteIndex Order By nextupdate
Hi, We have surveys that gather data and we're trying to find the best way to query this data for reporting. It is not too late to change everything so we're open to any suggestions. Here is my current setup:
Results table from which each row represents a user that filled in the survey so it contains a unique identifier, a survey identifier and some other data which we use elsewhere.
Result_Answers table which holds the answers for each result. So it contains the result ID, the question ID and the answer ID
Questions and Answers table which hold the actual text for each identifier used in result_answers.
What we're trying to do is retrieve the count for each answers (thats easy) based on a set of conditional answers. For exemple:
Q1 - Are you male or female
Q2 - What is your age group
Q3 - What type of music do you listen to.
So lets say I want the count of each answers for each question but limited to the results that answered male on Q1 and 18-25 OR 25-35 on Q2. The only way I found to do this is create a cursor to loop trough each questions, select the result IDs that answered Q1 correctly and then remove from that temp table each result ID that didn't answer the subsequent questions correctly. This gives me a page long query with a cursor and multiple IN commands (for when there's more than one answer valid for a single question)
I'm not saying the results are abysmal, I'm still getting my results inside 2s with a bit over 1 million rows in those tables. But unfortunatly, this is basically only one survey... I can only imagine that it will get longer and longer as we add more surveys.
So my question is: Is there a better way to query this data or worst case, is my table schema not efficient enough? In both cases, how can I fix/optimize it?
I'm really hoping you guys can help me out!
Hi all,
I need help to optimize this query:
Code:
SELECT s.konto, s.sifra_partnera, s.temeljnica, s.rbr, s.duguje, s.potrazuje, s.saldo
FROM saldakonti s
WHERE
s.datum<'2005-01-01' AND
s.uplata='R' AND
EXISTIS (SELECT t.temeljnica, t.rbr FROM saldakonti t WHERE
t.konto=s.konto AND
t.sifra_partnera=s.sifra_partnera AND
t.vezni_broj=s.vezni_broj and
t.datum<'2005-01-01' AND
(t.uplata='S' or t.uplata='U')
GROUP BY t.temeljnica, t.rbr
HAVING
abs(sum(t.duguje-t.potrazuje))<>abs(s.saldo))
ORDER BY
s.konto, s.sifra_partnera, s.temeljnica, s.rbr, s.duguje, s.potrazuje, s.saldo
Currently this query takes forever to execute. Any suggestions appreciated.
Thanks in advance.
What are the best pactices to optimize performance accsiing an SQLServer DB ?
commands, mantenance plan...
Thanks
is there any command to optimize a database for eg: after 1 month if DB is full of mess then with one command every thing will be in sorted order or something like that to increase the efficiency and speed, is there any thing like that in MSSQL 2005?
View 2 Replies View RelatedCan someone look at this sql statement and tell me if it can be sped up? Also I have to add to it by joining it with another table. How do I do that? Just by nesting another join?
Thanks!
Set rs=Server.CreateObject("ADODB.Recordset")
sql = "SELECT td.TeamID, td.TeamName, rt.PartID, rt.Effort, rt.UnitMeas, pd.MinMilesConv "
sql = sql & "FROM TeamData td INNER JOIN PartData pd ON td.TeamID = pd.TeamID "
sql = sql & "JOIN RunTrng rt ON pd.PartID = rt.PartID "
sql = sql & "WHERE rt.TrngDate >= '" & Session("beg_date") & "' AND rt.TrngDate < '" & Session("end_date")
sql = sql & "' AND pd.Archive = 'N' AND pd.Gender = '" & sGender & "' AND pd.Grade >= " & iMinGrade
sql = sql & " AND pd.Grade <= " & iMaxGrade & " ORDER BY td.TeamID"
rs.Open sql, conn, 1, 2
Hi all,
Table 'A' is having 105 fields & 233000 records.
One Clusterd Primary Key & 10 nonclusterd key.
If I joined with table 'A' or 'Select * from 'A' , Query takes more time so please let me know best way to structure query or table, Indexes etc.
Reply to me asap positivaly ....
Regards,
M. G.
Hi All,
please look into below query.
SELECT TOP 101 Cert_WarehouseDetails.CertID, Cert_WarehouseDetails.UnderwriterID,
Cert_WarehouseDetails.WarehouseEntriesID, Cert_WarehouseDetails.DivisionWarehouseLocID,
Cert_WarehouseDetails.TypeID, Cert_WarehouseDetails.ReportingType, Cert_WarehouseDetails.CertWHID,
Cert_WarehouseDetails.ClientPolicyDivisionID, Cert_WarehouseDetails.RecordNO, Cert_WarehouseDetails.InsuredValueX,
Cert_WarehouseDetails.PremiumTotalX, Cert_WarehouseDetails.StatusX, Cert_WarehouseDetails.StatusID,
Cert_WarehouseDetails.AuthorizeDateX, Cert_WarehouseDetails.CodeX, Cert_WarehouseDetails.IssuedDateX, Cert_WarehouseDetails.BillofLadingDateX,
DOGX, Cert_WarehouseDetails.ConveyanceNameX, Cert_WarehouseDetails.LogonNameX , Cert_WarehouseDetails.ClientNameX,
(CASE WHEN UnderwriterID = 0 THEN ' ' ELSE tblClientUsers.FirstName + ' ' + tblClientUsers.LastName END) AS OwnedBy,
(CASE WHEN UnderwriterID = 0 THEN CAST(' ' AS NVARCHAR) ELSE CAST(TakeOwnershipDate as nvarchar) END) AS OwnedDate
FROM
( SELECT tblCertificates.[CertID] AS CertID, tblCertificates.[UnderwriterID] AS UnderwriterID, tblReportingType.[TypeID] AS TypeID, tblReportingType.[ReportingType] AS ReportingType, NULL AS WarehouseEntriesID, NULL AS DivisionWarehouseLocID , tblCertificates.CertID AS CertWHID, tblCertificates.ClientPolicyDivisionsID AS ClientPolicyDivisionID, tblCertificates.CertificateNo AS RecordNO, tblCertificates.TotalInsured AS InsuredValueX, (CASE WHEN tblCertificates.Status=101 or tblCertificates.Status=104 or tblCertificates.DivReferral=1 THEN 0 ELSE PremiumTotal-tblCertificates.Discount END) AS PremiumTotalX, tblStatus.Description AS StatusX, tblStatus.StatusID AS StatusID, (CASE WHEN tblCertificates.Status < '105' and tblCertificates.Status <> '103' THEN null ELSE AuthorizeDate END) AS AuthorizeDateX, tblCurrency.Code AS CodeX, tblCertificates.IssuedDate AS IssuedDateX, tblCertificates.BillofLadingDate AS BillofLadingDateX, tblCertificates.DescriptionofGoods AS DOGX, tblCertificates.ConveyanceName AS ConveyanceNameX, tblClientUsers.LogonName AS LogonNameX , tblClient.ClientName AS ClientNameX, tblCertificates.TakeOwnershipDate AS TakeOwnershipDate, tblCertificates.ClientID AS ClientID, tblCertificates.Producer AS BrokerID, tblCertificates.SBU AS SBU, tblCertificates.AssociationID AS AssociationID, tblCertificates.AssuredName AS AssuredName, tblCertificates.UserID AS UserID, tblCertificates.Demoflag AS Demoflag FROM tblCertificates, tblReportingType,tblcurrency,tblClientUsers,tblCli ent,tblStatus WHERE tblCertificates.reportType = tblReportingType.TypeID AND tblCertificates.PremiumCurrencyType = tblCurrency.ID AND tblclientUsers.UserID = tblCertificates.UserID AND tblcertificates.ClientId = tblclient.ClientID AND tblStatus.StatusID = tblCertificates.Status
UNION
SELECT NULL AS CertID, NULL AS UnderwriterID, tblReportingType.[TypeID] AS TypeID, tblReportingType.[ReportingType] AS ReportingType, tblWarehouseEntries.[WarehouseEntriesID] AS WarehouseEntriesID, tblWarehouseEntries.[DivisionWarehouseLocID] AS DivisionWarehouseLocID , tblWarehouseEntries.WarehouseEntriesID AS CertWHID, tblWarehouseEntries.ClientPolicyDivisionID AS ClientPolicyDivisionID, tblWarehouseEntries.WarehouseEntriesID AS RecordNO, (CASE WHEN ValueCurrencyType=0 THEN 0 ELSE UnitValue END) AS InsuredValueX, (CASE WHEN tblWarehouseEntries.StatusID=101 THEN 0 ELSE PremiumSum END) AS PremiumTotalX, tblStatus.Description AS StatusX, tblStatus.StatusID AS StatusID, (CASE WHEN tblWarehouseEntries.StatusID < '105' THEN null ELSE ApprovalDate END) AS AuthorizeDateX, tblCurrency.Code AS CodeX, tblWarehouseEntries.IssuedDate AS IssuedDateX, tblWarehouseEntries.PeriodEndDate AS BillofLadingDateX, LocName AS DOGX, '' AS ConveyanceNameX, tblClientUsers.LogonName AS LogonNameX , tblClient.ClientName AS ClientNameX, tblWarehouseEntries.TakeOwnershipDate AS TakeOwnershipDate, tblWarehouseEntries.ClientID AS ClientID, tblWarehouseEntries.BrokerID AS BrokerID, tblWarehouseEntries.SBU AS SBU, tblWarehouseEntries.AssociationID AS AssociationID, tblWarehouseEntries.AssuredName AS AssuredName, tblWarehouseEntries.UserID AS UserID, tblWarehouseEntries.Demoflag AS Demoflag FROM tblWarehouseLoc, tblWarehouseEntries, tblReportingType,tblCurrency ,tblClientUsers,tblClient, tblDivisionWarehouseLoc,tblStatus WHERE tblWarehouseEntries.reportTypeID = tblReportingType.TypeID and tblWarehouseLoc.WarehouseLocationID = tblDivisionWarehouseLoc.WarehouseLocID and tblDivisionWarehouseLoc.DivisionWarehouseLocID = tblWarehouseEntries.DivisionWarehouseLocID and tblWarehouseEntries.PremiumCurrencyType = tblCurrency.ID and tblWarehouseEntries.UserID = tblClientUsers.UserID and tblClient.ClientID = tblWarehouseEntries.ClientID AND tblStatus.StatusID = tblWarehouseEntries.StatusID
) AS Cert_WarehouseDetails LEFT JOIN tblClientUsers ON Cert_WarehouseDetails.UnderwriterID = tblClientUsers.UserID
WHERE 1 = 1 AND Cert_WarehouseDetails.Demoflag = 0 and
(convert(datetime,convert(nvarchar,Cert_WarehouseD etails.IssuedDateX,101)) >= '1/1/2003') and
(Cert_WarehouseDetails.IssuedDateX is not null and
convert(datetime,convert(nvarchar,Cert_WarehouseDe tails.IssuedDateX,101)) <= '3/31/2004')
ORDER BY Cert_WarehouseDetails.RecordNO
In above query,as
1. Union (INNER) query returns me 200000 records.
2. If I run above query it takes 18 sec because no index on Cert_WarehouseDetails.RecordNO and i'm ordering on that.
3. When I avoid to 'ORDER BY Cert_WarehouseDetails.RecordNO' then query takes 2 sec.
4. In this case Do I have to use 'nvarchar'
convert(datetime,convert(nvarchar,Cert_WarehouseDe tails.IssuedDateX,101)) <= '3/31/2004')
5. Why do we have to use 'nvarchar' can you explain to me in above statement..
Can you provide me alternate solution so I can make it fast.
Please reply to me asap. Thanks in advance.
Regards,
M. Jain
I have a very simple T-SQL statement which takes hours to run. The statement is something like:
update table1 set column1 = coalesce(table2.column1, ''),
column2 = table2.column2, column3 = table2.column3
from table1, table2
where table1.column4 = table2.column4
The machine is a P3 800 512 ram and 80G HD with 8M cache. I'm running Windows 2000 Server and SQL Server 2000. Table1 has about 500,000 records and Table2 has about 2 millions records. I have added non-clustered indexes for table1.column4 and table2.column4.
When I check Execution Plan, it has Hash Match/Aggregate which costs about 50%.
Thank you for any help.
Hello,
Can any one suggest me in optimizing the SP.
To execute single SP it takes nearly 50 seconds.
Can i know what are ways to optimize the SP.
Thanks
Ganesh
Solutions are easy. Understanding the problem, now, that's the hard part
Hi,
View 5 Replies View RelatedHi,I have these two tables in a DatabaseITEMSIDnumeric (Primary key)ZDIDnvarchar 3 (not null)IDF_Familynumeric(not null)Descriptionnvarchar40 (not null)DATASIDnumeric(Primary Key)IDF_Itemnumeric(Foreign key)IDF_Referencenumeric(Foreign Key)[Date]smalldatetime(not null)Containernchar10(not null)Averagedecimal(not null)[%Compliance]decimal(not null)[%OutOfRange<MinTg]decimal(not null)[%OutOfRange>MaxTg]decimal(not null)Targetdecimal(not null)[Min]decimal(not null)[Max]decimal(not null)The table DATAS has 4000000+ recordsI'm running this query:SELECT DISTINCT I.ID, I.ZDID, I.IDF_Family, I.DescriptionFROM Items as I, Datas as DWHERE D.IDF_Item = I.ID AND I.IDF_Family = 84AND D.Date BETWEEN '5/18/2004' AND '5/18/2004'it's taking 4-5 minutes to run.The result is correct, there is no thing on that date.I've done a reindex, but still the same thing.What can I do?Thanks
View 4 Replies View RelatedThis code is attempting to find records that have a RegJrnID that doesnot occur more than one time in the table.The reason that I want to find records with non-duplicated RegJrnIDvalues is to create "reversal" records for these such that the reversalrecord has identical values for every column except the TaxableAmountwhich will contain a negative amount. (see: example data below)./* Set up */CREATE TABLE t1(RegJrnID INTEGER, InvoiceDate VARCHAR(8), InvoiceNumberVARCHAR(20), TaxableAmount DECIMAL(32,8))/* Example data */INSERT INTO t1 VALUES (1, '20060101', '2321323', 100.00)INSERT INTO t1 VALUES (9, '20060213', '2130009', 40.01)INSERT INTO t1 VALUES (3, '20060101', '9402293', 512.44)INSERT INTO t1 VALUES (1, '20060104', '2321323', -100.00)INSERT INTO t1 VALUES (4, '20060105', '9302221', 612.12)INSERT INTO t1 VALUES (5, '20060105', '0003235', 18.11)INSERT INTO t1 VALUES (6, '20060111', '5953432', 2101.21)INSERT INTO t1 VALUES (3, '20060111', '9402293', -512.44)INSERT INTO t1 VALUES (7, '20060115', '4234444', 44.52)INSERT INTO t1 VALUES (8, '20060115', '0342222', 95.21)INSERT INTO t1 VALUES (6, '20060119', '5953432', -2101.21)INSERT INTO t1 VALUES (2, '20060101', '5440033', 231.01)/* Show what's in the table - just because */SELECT * FROM t1 ORDER BY RegJrnID, InvoiceDate/* Query for records to reverse */SELECT *FROM t1 a/* Ignore records that have already been reversed */WHERE a.RegJrnID != ALL/* This subselect finds reversed records (i.e. those that have aduplicate RegJrnID) */(SELECT b.RegJrnIDFROM t1 bGROUP BY b.RegJrnIDHAVING COUNT(*) > 1)/* User selection criteria are appended here *//* AND InvoiceNumber >= '5000000' AND InvoiceNumber <= '7500000' *//* Make the results look pretty (optional) */ORDER BY RegJrnID/* Housekeeping */DROP TABLE t1
View 19 Replies View RelatedHello,I am trying to find all records that have matching detail_1 or detail_2columns. This is what I have now:select t1.id, t1.detail_1, t1.detail_2, t2.id from user_details t1,user_details t2where t1.detail_1 = t2.detail_1 or t1.detail_2 = t2.detail_2;Using smaller tables of around 1000 records, I have verified that thisindeed does the job. However, when I apply it to the real table thathas around 40,000 records, it takes so long that I have to stop thequery.The table in question is quite simple and is created as follows. Thereare no indexes on the table:create table user_details (id integer, detail_1 varchar(50), detail_2varchar(50)Is there a way to make it go faster?
View 4 Replies View RelatedHi! I have an optimisation problem. I've currently got a query that retrieve about 10K records according the mode that user difined earlier.
At the very beginning I've wrote the same code through the user-defined functions, but I found in publications that it's a wrong way to develop with MSSQL, but it worked more and more faster (3 sec). Now I rewrite my query with inline table functions...CREATE FUNCTION ans_app_name1()
RETURNS TABLE AS RETURN
(SELECT CASE WHEN OBJECT_ID('app_name') > 0 THEN
(SELECT TOP(1) app_name FROM app_name WHERE spid = @@spid)
ELSE NULL END AS app_name )
GO
CREATE FUNCTION ans_get_user_property1(
@property_name VARCHAR(255))
RETURNS TABLE AS RETURN
(SELECT u.value AS user_property FROM user_property u
JOIN ans_app_name1() a ON a.app_name = u.app_name
WHERE property = @property_name AND
username = system_user)
GO
CREATE FUNCTION ans_get_mode()
RETURNS TABLE AS RETURN
(SELECT CAST(user_property AS INT) AS mode FROM ans_get_user_property1('mode'))
GO
CREATE FUNCTION ans_get_state_date()
RETURNS TABLE AS RETURN
SELECT
CASE
WHEN ((SELECT mode FROM ans_get_mode()) IN (3,6)) THEN
CAST(user_property AS DATETIME) END AS state_date
FROM ans_get_user_property1('state_date')
GO
ALTER FUNCTION is_real1(
@mode INT,
@state_date DATETIME)
RETURNS TABLE AS
RETURN (
SELECT uid,
CASE
WHEN (begin_date = 0) or (end_date = 0) THEN 0
WHEN
((@mode IN (1,5)) AND (begin_date <= CURRENT_TIMESTAMP) AND ((end_date IS NULL) OR (end_date > CURRENT_TIMESTAMP)))
OR ((@mode IN (2,5,6)) AND (begin_date IS NULL) AND (end_date IS NULL) AND ISNULL(is_committed, 0) = 0)
OR ((@mode IN (3,6)) AND (begin_date <= @state_date) AND ((end_date IS NULL) OR (end_date > @state_date)))
OR ((@mode = 4) AND (begin_date <= CURRENT_TIMESTAMP) AND ((end_date IS NULL) OR (end_date > CURRENT_TIMESTAMP)))
THEN 1
ELSE 0
END AS is_real
FROM host
)
GO
ALTER view v_host as
SELECT
h.uid,
h.id_histland,
h.id_group,
h.numporyadok,
h.numgroup,
h.objidentnum,
h.egrokn_reg_num,
h.kad_num,
h.ansname,
h.objname,
h.id_objprotstatus,
h.id_kategory,
h.id_objkind,
h.id_histcultvalue,
h.uid_objautor,
h.createdate,
h.id_scientifictype,
h.obj_description,
h.id_admdistrict,
h.cityblock,
h.id_settlement,
h.id_admdistrict2,
h.p_index,
h.id_street,
h.housenum,
h.housenumpart,
h.houseliteranum,
h.buildingnum,
h.corneradress,
h.appartmentnum,
h.id_urbanblock,
h.id_microdistrict,
h.kadblock,
h.end_date,
h.objlocation,
h.parent_uid,
h.kaddistrict,
h.mundistrict,
h.is_committed,
h.order_uid,
h.begin_date,
h.cr_date,
h.order_uid_end,
h.uid_parent_host,
h.is_host_object,
h.id_funcassign,
h.id_immovobjtype,
h.hist_data,
CASE WHEN h.obj_code is NULL THEN
'<object registered>'
ELSE h.obj_code
END AS obj_code,
s.sname AS sname_objprotstatus,
k.sname AS sname_kategory,
ok.sname AS sname_objkind,
p.sname AS name_property,
ISNULL(h.ansname + ' ', '') + h.objname as fullname,
h.pre_material,
h.hist_view_change,
h.adr_id,
h.street_id,
h.cod_mun,
h.hist_object_id,
h.scientifictype
FROM
host h
LEFT JOIN sl_objprotstatus s ON h.id_objprotstatus = s.id
LEFT JOIN sl_kategory k ON h.id_kategory = k.id
LEFT JOIN sl_objkind ok ON h.id_objkind = ok.id
LEFT JOIN sl_property p ON h.id_property = p.id
--JOIN is_real1((SELECT mode FROM ans_get_mode()), (SELECT state_date FROM ans_get_state_date())) r ON r.uid = h.uid
WHERE
(CASE
WHEN (begin_date = 0) or (end_date = 0) THEN 0
WHEN
(((SELECT mode FROM ans_get_mode()) IN (1,5)) AND (begin_date <= CURRENT_TIMESTAMP) AND ((end_date IS NULL) OR (end_date > CURRENT_TIMESTAMP)))
OR (((SELECT mode FROM ans_get_mode()) IN (2,5,6)) AND (begin_date IS NULL) AND (end_date IS NULL) AND ISNULL(is_committed, 0) = 0)
OR (((SELECT mode FROM ans_get_mode()) IN (3,6)) AND (begin_date <= (SELECT state_date FROM ans_get_state_date())) AND ((end_date IS NULL) OR (end_date > (SELECT state_date FROM ans_get_state_date()))))
OR (((SELECT mode FROM ans_get_mode()) = 4) AND (begin_date <= CURRENT_TIMESTAMP) AND ((end_date IS NULL) OR (end_date > CURRENT_TIMESTAMP)))
THEN 1
ELSE 0
END) = 1
GO
set statistics time on
-- cleaning cache
dbcc dropcleanbuffers
dbcc freeproccache
SELECT * FROM v_host
/*
(9777 row(s) affected)
SQL Server Execution Times:
CPU time = 9718 ms, elapsed time = 10834 ms.
*/
Hello all!
I've currently got a query that takes two tables with the same structure, and spits out the differences in the second table - this is done to help me see what new records have been added in the second table that don't exist in the first. The only catch is that I have to compare two columns in sort of a pseudo-composite-key. Here's the gist of the table structure:
Table A:
ID (Autonumber),
Firstname,
Lastname,
OS,
PC Manufacturer
Table B (The new one):
Firstname,
Lastname,
OS,
PC Manufacturer
The two columns I have to compare are firstname and lastname, as there aren't any other unique identifiers that match between the two tables. Right now, I'm using some really convoluted WHERE statements, and I suspect that it could be done more cleanly. Does anyone have any suggestions?
Thanks in advance...
What are the best practices to avoid CPU load in SQL Server?
We have 4 phases(scenarios), the no of attributes in each scenario is unknown(dynamic)
ex: Scenario1 & case1 = 10,Scenario1 & case2 = 50,Scenario2 & case1 = 70,Scenario1 & case6 = 100
We want to give preference in this sequence...
1. Performace
2. More customization
3. HDD Space
1) For more customization, we need to maintain all the phases' details in same table like id,name,description,textfield. In case of more fields, copy all the values to text fields by seperating with delemeters(,) like: 10,'Name1','Description1','110,abc,xyz,nmo,pqz'. In this approach we can save n number of values. Out of 10 lakh records, 600-900 records will be filtered by id and name in average. Will it cause any performance problem while make the text and extract the individual values? What about searching?
2) For performace, we will have a big table with fixed no of tables say 300(no exendability beyond this & most of the columns will be NULL if values are less).
3) Create seperate tables dynamically for each schenario and case, save the values in curresponding tables.(can be a chance of getting 300-700 tables)
Please suggest me best among all these. Thanks in advance...
Loka
Below you see a query I run.
The result of this query is shown below...
The result shows fields such as Bid_Price_Best_Latest and Ask_Price_Best_Latest may or may not have null values.
At present, I use a cursor to get the values of these two fields if any of them is null from the table tblPricesSourcesImportHistory for the latest Import_Date on each record.
These two fields are referred to as Bid_Price, Ask_Price in tblPricesSourcesImportHistory.
Now I would like to find out how to do this without the use of a cursor, so that I can speed up this query.
Thanks
select
fp.Security_ID,
fp.Security_Name,
fp.Bid_Price_Best_Latest,
fp.Bid_Size_Best_Latest,
fp.Bid_Source,
fp.Ask_Price_Best_Latest,
fp.Ask_Size_Best_Latest,
fp.Ask_Source
from
tblTEST fp
left join tblSources s on fp.Security_ID = s.Security_ID
inner join tblPricesSourcesImportHistory h on
h.Source_ID = s.Source_ID
where
(fp.Bid_Price_Best_Latest is null) or (fp.Ask_Price_Best_Latest is null)
group by
fp.Security_ID,
fp.Security_Name,
fp.Bid_Price_Best_Latest,
fp.Bid_Size_Best_Latest,
fp.Bid_Source,
fp.Ask_Price_Best_Latest,
fp.Ask_Size_Best_Latest,
fp.Ask_Source
order by
fp.Security_ID
fp.Security_ID Security_Name Bid_Price_Best_Latest Bid_Size_Best_Lates Bid_Source Ask_Price_Best_Latest Ask_Size_Best_Latest Ask_Source
1 Alli 84.0000 0.50 G NULL NULL NULL
2 bow 82.5000 0.50 G NULL NULL NULL
4 xte NULL NULL NULL 90.0000 0.50 G
6 Wqu 84.5000 0.50 I NULL NULL NULL
...
...
...
Not sure if it helps but here are the structures of the tables you may need...
CREATE TABLE [dbo].[tblSources](
[Source_ID] [int] IDENTITY(1,1) NOT NULL,
[Security_ID] [smallint] NOT NULL,
[Source_Parent] [varchar](50) NOT NULL,
[Source_Code] [varchar](20) NOT NULL,
[Source_Security_Name] [varchar](50) NOT NULL)
CREATE TABLE [dbo].[tblPricesSourcesImportHistory](
[Price_Source_Import_History_ID] [int] IDENTITY(1,1) NOT NULL,
[Source_ID] [smallint] NULL,
[Source_Parent] [varchar](255) NULL,
[Source_Code] [varchar](255) NULL,
[Security_Name] [varchar](255) NULL,
[Source_Security_Name] [varchar](255) NULL,
[Bid_Price] [varchar](255) NULL,
[Bid_Size] [varchar](255) NULL,
[Ask_Price] [varchar](255) NULL,
[Ask_Size] [varchar](255) NULL,
[Import_Date] [smalldatetime] NOT NULL)
Hi,
I'm kind of rusty when it comes stored procedures and I was wondering if someone could help me with the following SP. What I need to do is to query the database with a certain parameter (ex. Culture='fr-FR' and MsgKey='NoUpdateFound') and when that returns no rows I want it to default back to Culture 'en-US' with the same MsgKey='NoUpdateFound'). This way our users will always get an error message back in English if their own language is not defined. Currently I'm doing the following,
- Check row count on the parameter passed to sql and if found again do a select returning the values- else do a select on the SQL with the default parameters.
I'm guessing there is a way to run a SQL and return it if it contains rows otherwise issue another query to return the default.
How can I improve this query. Your help is greatly appreciated. Also, if I do any assignment since 'Message' is defined as text I get the following error message
Server: Msg 279, Level 16, State 3, Line 1 The text, ntext, and image data types are invalid in this subquery or aggregate expression.
CREATE PROCEDURE GetMessageByCulture( @Culture varchar(25), @MsgKey varchar(50) )AS SET NOCOUNT ON;
IF ( (SELECT COUNT(1) FROM ProductUpdateMsg WHERE Culture=@Culture AND MsgKey='NoUpdateFound') > 0) SELECT Message FROM ProductUpdateMsg WHERE Culture=@Culture AND MsgKey=@MsgKey ELSE SELECT Message FROM ProductUpdateMsg WHERE Culture='en-US' AND MsgKey=@MsgKeyGO
Thank youM.
Hi ,I have this complex stored procedure, that I was happy with but unfortunately the perfoermance fo this SP are very poor.Do you have any idea of how I can optimize it?ThanksWattierSELECT DISTINCT dateend,active,Tparts.idpart,TParts.Namepart, COALESCE( (SELECT SUM(nb) FROM TEChart WHERE TEChart.part = TParts.idpart and qc=0 and DateInsp>=@start and DateInsp<=@end),0) AS review ,COALESCE((SELECT SUM(nb) FROM TEChart WHERE TEChart.part = TParts.idpart and TEchart.qc = @concern and DateInsp>=@start and DateInsp<=@end),0) AS reject, COALESCE ((SELECT - DATEDIFF(day, GETDATE(), MAX(DateInsp)) FROM TEchart WHERE TEchart.QC <> 0 AND TEchart.part = TParts.idPart GROUP BY TEchart.part), (SELECT - DATEDIFF(day, GETDATE(), (SELECT datestart FROM Tproject WHERE idproject= @project)))) AS jourFROM Tparts,TPartQCWHERE Tparts.project=@project and TPartQC.qc=@concern and TPartQC.part=Tparts.idpart order by reject DESC,active DESC,review DESC
View 2 Replies View RelatedI’m trying to optimize the following view so that it runs faster and to trim the code where possible. It runs for 1:57mins. Is that good or it can run much faster than that? Where do l start? It’s a view for a report. Please help l’m running on SQL 2000
CREATE View SalesTest AS
SELECT dbo.Loan.loan_No AS [Loan No], dbo.Customer.customer_No AS [Customer No], dbo.Customer.first_Name + ' ' + dbo.Customer.surname AS Customer,
dbo.Employer.employer_Name AS [Employer Name], dbo.Loan.store AS [Store No], dbo.Store.store_Name AS Store,
dbo.Region.region_Description AS Region, dbo.Financier.financier_Short + dbo.Term.term_Description AS Product,
dbo.Loan.date_Issued AS [Transaction Date], dbo.Loan.capital_Amount AS [Capital Amount], dbo.Loan.interest_Amount AS [Interest Amount],
dbo.Loan.interim_Interest_Amount AS [Interim Interest Amount], dbo.Loan.interest_Amount + dbo.Loan.interim_Interest_Amount AS [Interest2 Amount],
dbo.Loan.insurance_Amount AS [Insurance Amount], dbo.Loan.admin_Fee AS [Admin Fee], dbo.Loan.total_Amount AS [Total Amount],
dbo.Loan_Type.loan_Type_Description AS [Loan Type Description], dbo.Loan.user_Changed AS [User], dbo.Loan.first_Payment AS [First Payment],
dbo.Loan.monthly_Payment AS [Monthly Payment], dbo.Loan.repayment_Period AS [Repayment Period],
dbo.Loan.outstanding_Amount AS [Outstanding Amount], dbo.Loan.last_Payment_Date AS [Last Payment Date],
dbo.Status.status_Description AS Status, CONVERT(Char(3), dbo.Loan.loan_No, 1) AS Company, dbo.Customer.physical_Address1 AS Mine1,
dbo.Customer.physical_Address2 AS Mine2, dbo.Customer.physical_Address3 AS Mine3, dbo.Loan.maturity_Date AS [Maturity Date],
dbo.Agent.agent_Short AS Agent, dbo.Financier.financier_Short AS Financier, dbo.Loan.product AS [Loan Product],
dbo.Deduction_Detail.teba_Account_No AS [Teba Account No]
FROM dbo.Loan INNER JOIN
dbo.Customer ON dbo.Customer.customer_No = dbo.Loan.customer_No INNER JOIN
dbo.Status ON dbo.Status.status = dbo.Loan.status INNER JOIN
dbo.Store ON dbo.Store.store = dbo.Loan.store INNER JOIN
dbo.Product ON dbo.Product.product = dbo.Loan.product INNER JOIN
dbo.Product_Type ON dbo.Product_Type.product_Type = dbo.Product.product_Type INNER JOIN
dbo.Financier ON dbo.Financier.financier = dbo.Product_Type.financier INNER JOIN
dbo.Term ON dbo.Term.term = dbo.Product.term INNER JOIN
dbo.Employer ON dbo.Employer.employer = dbo.Customer.employer INNER JOIN
dbo.Region ON dbo.Region.region = dbo.Store.region INNER JOIN
dbo.Loan_Type ON dbo.Loan_Type.loan_Type = dbo.Product_Type.loan_Type INNER JOIN
dbo.Agent ON dbo.Agent.agent = dbo.Product_Type.agent INNER JOIN
dbo.Deduction_Detail ON dbo.Loan.customer_No = dbo.Deduction_Detail.customer_No AND
dbo.Loan.deduction_No = dbo.Deduction_Detail.deduction_No
WHERE (dbo.Loan.outstanding_Amount <> 0)
CREATE PROCEDURE emp_summary
@emp_id int ,@start_date datetime=0,@end_date datetime=0
AS
SET NOCOUNT ON
IF @start_date=0 AND @end_date=0
BEGIN
SET @end_date=getdate()
SELECT *
FROM emp WHERE emp_id_id=@emp_id AND a.join_date>@start_date AND a.joindate<=@end_date
END
ELSE
SELECT *
FROM emp WHERE emp_id_id=@emp_id AND a.join_date>@start_date AND a.joindate<=@end_date+1
GO
This is the Stored procedure i wrote to get the emp summary with date range and with no date ranges.If i pass start_date and end_Date Sp executes 'else' part if dont pass the parameters it execultes 'IF' part.Can i optimize this SP further?
Hi,I am looking for websites/forum threads/replies about SQL Server Optimization. Does anyone have any good links that can help me?I am Googling the net but thought I might as well ask someone on this forum since I am sure I am not the first one looking for this information.Thanks in advance
View 14 Replies View Related