I am having a query where I am connecting to eight different tables using joins. When I join one table to another the speed of the execution becomes less. Even on my local server it is taking nearly 2 to 3 minutes to execute the query. How can I increase the speed of execution of my query.
I have sql query to search for fields in a rather big view. If I execute the query in sql server enterprise manager, the results will be displayed in less than 6 seconds. However, if I execute it using asp.net, it will take very long (more than 2 minutes).
The query is a simple one like "SELECT * FROM myview WHERE name LIKE '%Microsoft%'". And the code I use to execute it in asp.net is
Dim dsRtn As DataSet Dim objConnection As OleDbConnection Try objConnection = GetOleDbConnection() objConnection.Open() Dim objDataAdapter As New OleDbDataAdapter(strSearch, objConnection) Dim objDataSet As New DataSet() objDataAdapter.Fill(objDataSet, strTableName) dsRtn = objDataSet Catch ex As Exception dsRtn = Nothing Finally If objConnection.State = ConnectionState.Open Then objConnection.Close() End If End Try
Where strSearch is the sql search string.
I don't have any problem using such code for other queries.
Could somebody suggest the cause of the problem and how to solve it? Thanks!
Hi All,I have a table that currently contains approx. 8 million records.I'm running a SELECT query against this table that in somecircumstances is either very quick (ie results returned in QueryAnalyzer almost instantaneously), or very slow (ie 30 to 40 seconds toreturn results), and I'm trying to work out how I improve performance.Essentially the query I'm running is nothing more complex than:SELECT TOP 1 * FROM Table1 WHERE tier=n ORDER BY member_id[tier] is a smallint column with a non-clustered, non-unique index onit. [member_id] is a numeric column with a clustered, unique index onit.When I supply a [tier] value of 1, it returns results instantaneously.I have no idea if this is meaningful, but the tier = 1 records wereloaded first into the table, and comprise approximately 5 millionrecords.When I supply a [tier] value of 2, the results take 30 to 40 seconds.tier =2 records were loaded second, and comprise approximately 3million records.I've tried running an execution plan, and while I'm no expert, itappears to me that the index on tier isn't being used, even if I use:tier = CAST(2 as SMALLINT)I'm wondering if anyone can give me ANY advice on how to get anybetter performance out of this SELECT statement?Also, out of curiosity, can a disk defragment have a positive impacton SELECT query performance?Any help very much appreciated!Much warmth,Murray
Scenario 1: Sproc executed on local server against local tables that took 40 seconds to run, now takes 30 minutes to run. - No blocking locks - Sometimes "NOP" in command when sp_who2 is run. - perfmon shows nothing out of the ordinary when looking at server resources. (memory, processors, etc.) there have been NO configuration changes. - Occaisional lost packets (every 10th) with ping -t - I flushed the procedure cache, and rebooted the server.Scenario 2: Sproc executed on another server accesses tables on Scenario 1 local server via server link, runs with no problems in 30 seconds.SQL Server 2000 SP3a.
We have a quick query regarding SQL performance.We have SQL Server 2000 (32 Bit) and SQL Server 2005 (64 Bit) as twoseparate instances on a DB Server.We were analysing the execution times for the same stored procedure onboth instances:1. Through Remote Desktop of the actual DB server2. Through Query Analyser of my local machine.The results were as follows:1. Through Remote Desktop of the actual DB serverIterationSP Execution Time (in secs)SQL 2000SQL 200512852273327344035383Average 3232. Through Query Analyser of my local machine.IterationSP Execution Time (in secs)SQL 2000 SQL 2005)1379623277335844277954391Average3585Could you please provide some light on why case 2 is slow and anysuggestions to improve the same?Thanks in Advance!
I have a SQL Server 2005 Std. Ed. 64-bit installation. There is one instance supporting a single production database. I have a CLR udf. This udf uses the XMLDocument object to retrieve XML from a URL. When the CLR udf is executed, there seems to be an initial slow response time. Subsequent response times are very fast. If the CLR udf is not called for a few minutes and then called, the slowdown appears again.
Is there something happening behind the scenes with compilation or something like that which could cause this slowdown?
We have been working with SSIS for a while and we have not found a solution or a reason for this. We have a master package that calls 10 packages in sequential order. (as shown below). If we execute each one of the package separately the run in less than 2 minutes, but when we call them through the master package the execution time start increasing as follows: Child 1 (2 min), Child 2 (3 min),, Child 3 (4 min), Child 4 (6 min), Child 1 (7 min), and so on. The execute package task has the ExecutionOutOfProcess = false (when we set it equal to True even takes longer to execute, it was creating a dtsHost.exe process for each child and always remain in memory after the package finished executing). Can someone please provide a solution or a workaround for this? Any help would be appreciated. Any help will be appreciated.
I have a big problem with slow execution of stored procedure in SQL Server 2005 but I really don't understand the reason. I have a database with large table (about 400 million rows) and simple stored procedure to get data from that table (one select statement to select time and value columns).
Strange thing is that if I call that stored procedure from .net application (native SqlDataProvider) it takes about 6 seconds to execute but if I call the same procedure with the same parameters from within SQL Server Management Studio it takes only 25 milliseconds to execute!
I've noticed that from .net, procedure is called with binary data and in Management Studio sql script is executed so I've copied/pasted the script from Management Studio to .net code and again the same thing happens (6 seconds from .net and 25ms from Management Studio). I traced executions with SQL Profiler and everything seems to be identical for both applications except it takes much longer time for .net application.
Both SQL Server Management Studio and .net application are on the same machine and SQL Server is on another.
This is the query that when executed in Management Studio takes 25ms:
At first I thought that Management Studio somehow caches results but if I change parameters of stored procedure it always takes less than 30ms to execute. I really don't understand this. Please, help!
I have some VB.NET code that starts a transaction and after that executes one by one a lot of queries. Somehow, when I take out the transaction part, my queries are getting executed in around 10 min. With the transaction in place it takes me more than 30 min on one query and then I get timeout. I have checked sp_lock myprocessid and I've noticed there are a lot of exclusive locks on different objects. Using sp_who I could not see any deadlocks. I even tried to set the isolation level to Read UNCOMMITED and still have the same problem. As I said, once I execute my queries without being in a transaction everything works great. Can you help me to find out the problem?
I have a parent package which executes 14 child packages in parallel, which on average take ~10 seconds each to complete when I execute the parent packege using BIDS or DTEXEC.
However, if I run the parent package using SQL Management Studio (Integration Services > Stored Packages > MSDB > Right Click > Run Package) each package takes in excess of 10 minutes to run, getting progressively slower as each package starts.
Surely the package is executing in exactly the same way as BIDS/DTEXEC, just a differenct UI?
Hey. I've a problem and I think I know the answer also but still want to confirm. We are using SQL 2000 and SSRS 2000. The problem is, we have custom reports which a customer can build and run. I wonder how one can write sp's for that. The way it's written right now is a dynamic select clause then a dynamic, from, a dynamic where, dynamic groupby all appended torgether and run by execute command. I know it'd dynamic SQL and execution plans and stuff will hurt me but someof these reports take forever. Is there anything that can be done to fasten these reports? And if the select will be dynamic and the where will be dynamic, does it make sense to even use a sp? Is it ever going to use the same execution plan? When I run DBCC memorystatus, procedure cache takes up most of this memory. Does the use of dynamic SQL explain that?
Dear friends,I have a problem with a simple select statement and I don't know why it is happening.I have 2 tables, Fees and FeesDataRoles. Fees presents all the fees and FeesDataRole is a middle table between Fees and Roles table. So each fee can have multiple Roles and a Role can have many Fees.Now I have a select statement:Select *From Fees Inner Join FeesDataRoles ON Fees.FeeID = FeesDataRoles.FeeIDWhere (FeesDataRoles.DataRoleID = @DataRoleID) AND (FeesDataRoles.RecordStatus = 1 ) AND (FeesDataRoles.ValidFrom >= getdate() ) AND ( FeesDataRoles.ValidTo <= getdate() OR FeesDataRoles.ValidTo is null)Now it shouldn't take that long to execute this procedure but surprisingly sometimes when I insert a value to the table and then execute this store procedure it does now show the data just added. Very strange.....!!!!I ran the procedure 5 times after inserting an item and nearly 1 out of 5 does not return the right result righ. ( It does not include the recently inserted rows)Anyone have any idea....?I used Tuning Advisor, no sugestion. I change the clustered index in FeesDataRoles from FeesDataRoleID(the primary key of the table) to DataRoleID to increase the performance, still it happens sometimes.Is my Where clause so costly that cause this problem.Please help. I really appreciate your help.Regards,Mehdi
2 SQL Execute Task, One Loop container, 2 Data Flow tasks, 1 Foreach loop container, 1 ftp task. The data flow tasks has 1 oledb source, 1 flat file source, 1 row count transformation, 1 recordset destination and 1 oledb destination.
When I load the package into BIDS it takes 125 MB of memory and then everything is slow, the properties panel slides in slowly and exists slowly. The object is the packages are not painted properly. to make changes and run takes lot of time.
Am I doing anything wrong here? Why is it consuming so much of memory?
Can I roll back certain query(insert/update) execution in one page if query (insert/update) in other page execution fails in asp.net.( I am using sqlserver 2000 as back end) scenario In a webpage1, I have insert query into master table and Page2 I have insert query to store data in sub table. I need to rollback the insert command execution for sub table ,if insert command to master table in web page1 is failed. (Query in webpage2 executes first, then only the query in webpage1) Can I use System. Transaction to solve this? Thanks in advance
I am able to run a query which runs FAst in QA but slow in theapplication.It takes about 16 m in QA but 1000 ms on theApplication.What I wanted to know is why would the query take a longtime in the application when it runs fast on SQL server?How should we try debugging it?Ajay
Hi all I'm using Sql server 2000 and sometimes i need to run my Queries in Query analizer before using them in my application just to test them...BUT most of the time when i run a query in query-analizer for second time ,query analizer populates the result (records) more quicker then the first time. Apparently it caches the query !!! i don't know but for some reasons i dont't want this , so how can i prevent Query-analizer from doing so? Thanks in advance. Regards.
I have an update query running which to just now has been running for 22 hours running on two tables 1 a lookuptable that has just been created within the batch the other a denormalised table for doing data analysis on
the query thats causing teh problem is
--//////////////////////////////////// this is the one thats running
Print 'Update Provider 04-05 EmAdmsCount12mths : ' + CAST(GETDATE() AS varchar) GO Update Provider_APC_2004_05 set EmAdmsCount12mths = (Select COUNT(*)-1 from Combined_Admissions where ((Combined_Admissions.NHSNumber = Provider_APC_2004_05.NHSNumber) or (Combined_Admissions.PASNUMBER = Provider_APC_2004_05.PDDISTNO)) and (Combined_Admissions.AdmDate BETWEEN DateAdd(yyyy,-1,Provider_APC_2004_05.AdmDate) AND Provider_APC_2004_05.AdmDate) AND Combined_Admissions.AdmMethod like 'Emergency%')-- and -- CA.NHSorPrivate = 'NHS')) FROM Provider_APC_2004_05, Combined_Admissions
any help in improving speed would be most welcome as there are 3 more of these updates to run right after this one and the analysis tables are almost double the size of this one
This sounds like a pretty easy one. I have a SQL 2000 database with 2-3.4GHZ CPUs and 1GB of RAM. I have one database on it. I go in Query Analyzer on another machine and run a simple query like 'SELECT * FROM USERS' which should return 15,000 rows.
IT takes 30 (thirty) seconds to finish this query. OMG
Where do I start to decipher why on Earth this takes more than .01 seconds?
Hi, I have a query which has suddenly started responding slow. CAn anyone tell me what could be the possibilities? I tried update stats(I am on sql 70-though it's done auto but i did it manually again) I used union all in place of union but had no big effect.any othe thought? Thanks!
I have a query that takes minutes to execute, even through there are about 300,000 records are being processed. I would appreciate any help with optimizing that query. I have two tables: User and Usage. Table user has two fields: User_Id and Date_Created and a non-clustered index on User_Id. Table usage has two fields also: User_Id and Date_Used and non-clustered index on both fields. The User table is populated when the user registers. The Usage table is populated every time the user opens a document.
Here is what I need to do: get the number of users from the Usage table who opened a document at least once after they have registered during the last 30 days for each day in the time frame, where the time frame varies. For example, if the time frame is 8/01/00 - 8/31/00, I need to get the following data:
date returns ---- ------- 8/01/00 10 (10 users returned to the document between 7/2/00 and 8/1/00) 8/02/00 15 (15 users returned between 7/3/00 and 8/02/00) . . . 8/31/00 20 (20 users returned between 8/1/00 and 8/31/00)
Here is my query:
SELECT [date], (SELECT count(distinct user_id) FROM usage u JOIN [user] ON u.[user_id] = [user].[user_id] WHERE u.[date] BETWEEN usage.[date]-30 AND usage.[date] AND u.[date]>[user].date_created GROUP BY usage.[date])returns FROM usage WHERE [date] BETWEEN @date1 AND @date2
This query works fine, but too slow. We use MS SQL server 7.0.
I have a query which responds immediately when run however if I add an order by clause it takes 40 seconds. Below is the query with the order by clause SELECT distinct Licenseplate, platetypecode.platetypecode, platetypecode.platetypecodeid FROM Ticket INNER JOIN PlateTypeCode ON PlateTypeCode.PlateTypeCodeID = Ticket.PlateTypeCodeID ORDER BY licenseplate
The Ticket table contains approx. 11,000 records. I have created a nonclustered index for the licenseplate field, a 7 char varchar field. Any suggestions for speeding up the query?
The following query is causing some problems because it's taking too long to complete. I looked at the estimated execturion plan and I am unsure why it appears to spend over 50% of its time doing a 'Bookmark Lookup' on on particular column (SRA_SR_ID in the S_EVT_ACT table). There is an index on the column - S_EVT_F14. I'm not sure if the query is using the index properly. What can be done to specifically improve this particular problem? In general, does anyone have some suggestions for optimizing the query as a whole?
Thanks in advance. Clive
SELECT T1.APPT_REPT_FLG, T18.X_ALIS_ID, CONVERT (VARCHAR (10),T1.APPT_START_TM, 101) + ' ' + CONVERT (VARCHAR (10),T1.APPT_START_TM, 8), T1.ASGN_USR_EXCLD_FLG, T2.NAME, T19.STAT_CD, T1.APPT_REPT_TYPE, T15.NAME, CONVERT (VARCHAR (10),T1.TODO_ACTL_END_DT, 101) + ' ' + CONVERT (VARCHAR (10),T1.TODO_ACTL_END_DT, 8), T1.TODO_CD, T1.X_DOC_CAT_ID, CONVERT (VARCHAR (10),T1.TODO_PLAN_START_DT, 101) + ' ' + CONVERT (VARCHAR (10),T1.TODO_PLAN_START_DT, 8), T1.TARGET_OU_ID, T7.ZIPCODE, T3.ZIPCODE, T9.EXP_RPT_NUM, T1.LAST_UPD_BY, T1.OWNER_PER_ID, T1.PART_RPR_ID, T1.RATE_LST_ID, CONVERT (VARCHAR (10),T1.APPT_REPT_END_DT, 101) + ' ' + CONVERT (VARCHAR (10),T1.APPT_REPT_END_DT, 8), T1.ACTIVITY_UID, T4.NAME, T1.PR_TMSHT_LINE_ID, T18.LAST_NAME, T7.ADDR, T18.SEX_MF, T1.BILLABLE_FLG, CONVERT (VARCHAR (10),T1.TODO_PLAN_END_DT, 101) + ' ' + CONVERT (VARCHAR (10),T1.TODO_PLAN_END_DT, 8), T1.SRA_SR_ID, T1.TARGET_PER_ADDR_ID, T18.X_FST_NAME, T1.EVT_STAT_CD, CONVERT (VARCHAR (10),T1.X_SCAN_DATE, 101) + ' ' + CONVERT (VARCHAR (10),T1.X_SCAN_DATE, 8), T1.ROW_STATUS, T1.ACD_CALL_DURATION, T5.NAME, T8.FAX_PH_NUM, T8.X_FST_NAME, T8.LAST_NAME, T1.MODIFICATION_NUM, T1.X_CAMP_ID, CONVERT (VARCHAR (10),T1.X_SCAN_TIME, 101) + ' ' + CONVERT (VARCHAR (10),T1.X_SCAN_TIME, 8), T1.ASSOCIATED_COST, T13.NAME, CONVERT (VARCHAR (10),T1.LAST_UPD, 101) + ' ' + CONVERT (VARCHAR (10),T1.LAST_UPD, 8), T17.TMSHT_NUM, T1.PR_SYMPTOM_CD, T1.OPTY_ID, CONVERT (VARCHAR (10),T18.BIRTH_DT, 101) + ' ' + CONVERT (VARCHAR (10),T18.BIRTH_DT, 8), T1.PR_EXP_RPT_ID, CONVERT (VARCHAR (10),T1.APPT_START_DT, 101) + ' ' + CONVERT (VARCHAR (10),T1.APPT_START_DT, 8), T8.FST_NAME, T16.SR_NUM, T1.SRA_DEFECT_ID, T1.CREATED_BY, T8.WORK_PH_NUM, CONVERT (VARCHAR (10),T1.COST_EXCH_DT, 101) + ' ' + CONVERT (VARCHAR (10),T1.COST_EXCH_DT, 8), T1.CALL_ID, T1.X_CLIENT_ID, T1.PROJ_ID, T12.DEFECT_NUM, T1.CREATOR_LOGIN, T1.CONFLICT_ID, T19.OUTCOME_CD, T1.TEMPLATE_FLG, T2.PR_ADDR_ID, T1.PREV_ACT_ID, T1.X_DOC_NAME, T1.EXP_RLTD_FLG, T1.X_BATCH_REF, T1.PRI_LST_ID, T1.SRC_ID, T1.X_POLICY_REF, CONVERT (VARCHAR (10),T1.CREATED, 101) + ' ' + CONVERT (VARCHAR (10),T1.CREATED, 8), T1.EMAIL_FORWARD_FLG, T11.DMT_NUM, T1.TMSHT_RLTD_FLG, T1.ROW_ID, T10.NAME, T18.CONSUMER_FLG, T1.TARGET_PER_ID, T18.FST_NAME, T1.PRIV_FLG, T3.PROVINCE, T8.X_ALIS_ID, T8.JOB_TITLE, T14.NAME, T1.NAME, T1.PCT_COMPLETE, T1.SRA_TYPE_CD, T1.ALARM_FLAG, T1.CAL_DISP_FLG, T1.EVT_PRIORITY_CD, T1.COST_CURCY_CD, T2.LOC, CONVERT (VARCHAR (10),T1.TODO_ACTL_START_DT, 101) + ' ' + CONVERT (VARCHAR (10),T1.TODO_ACTL_START_DT, 8), T20.FILE_NAME, T1.SRA_RESOLUTION_CD, T6.PRDINT_ID, T1.OWNER_LOGIN FROM dbo.S_EVT_ACT T1 LEFT OUTER JOIN dbo.S_ORG_EXT T2 ON T1.TARGET_OU_ID = T2.ROW_ID LEFT OUTER JOIN dbo.S_ADDR_ORG T3 ON T2.PR_ADDR_ID = T3.ROW_ID LEFT OUTER JOIN dbo.S_PRI_LST T4 ON T1.PRI_LST_ID = T4.ROW_ID LEFT OUTER JOIN dbo.S_PRI_LST T5 ON T1.RATE_LST_ID = T5.ROW_ID LEFT OUTER JOIN dbo.S_ACT_PRDINT T6 ON T1.ROW_ID = T6.ACTIVITY_ID LEFT OUTER JOIN dbo.S_ADDR_PER T7 ON T1.TARGET_PER_ADDR_ID = T7.ROW_ID LEFT OUTER JOIN dbo.S_CONTACT T8 ON T1.TARGET_PER_ID = T8.ROW_ID LEFT OUTER JOIN dbo.S_EXP_RPT T9 ON T1.PR_EXP_RPT_ID = T9.ROW_ID LEFT OUTER JOIN dbo.S_OPTY T10 ON T1.OPTY_ID = T10.ROW_ID LEFT OUTER JOIN dbo.S_PART_RPR T11 ON T1.PART_RPR_ID = T11.ROW_ID LEFT OUTER JOIN dbo.S_PROD_DEFECT T12 ON T1.SRA_DEFECT_ID = T12.ROW_ID LEFT OUTER JOIN dbo.S_PROD_INT T13 ON T6.PRDINT_ID = T13.ROW_ID LEFT OUTER JOIN dbo.S_PROJ T14 ON T1.PROJ_ID = T14.ROW_ID LEFT OUTER JOIN dbo.S_SRC T15 ON T1.SRC_ID = T15.ROW_ID LEFT OUTER JOIN dbo.S_SRV_REQ T16 ON T1.SRA_SR_ID = T16.ROW_ID LEFT OUTER JOIN dbo.S_TMSHT_LINE T17 ON T1.PR_TMSHT_LINE_ID = T17.ROW_ID LEFT OUTER JOIN dbo.S_CONTACT T18 ON T1.X_CLIENT_ID = T18.ROW_ID LEFT OUTER JOIN dbo.S_CAMP_CON T19 ON T1.X_CAMP_ID = T19.SRC_ID AND T1.TARGET_PER_ID = T19.CON_PER_ID LEFT OUTER JOIN dbo.S_ACTIVITY_ATT T20 ON T1.ROW_ID = T20.PAR_ROW_ID WHERE ((T1.APPT_REPT_FLG != 'Y' OR T1.APPT_REPT_FLG IS NULL) AND (T1.TEMPLATE_FLG != 'Y' AND T1.TEMPLATE_FLG != 'P' OR T1.TEMPLATE_FLG IS NULL)) AND (T1.SRA_SR_ID = '1-EQLOO')
I have a query that is taking too long to run. It take 14 seconds to return 6800 rows. However, if I move the query out of a stored proc, it takes 1 second. I want to understand this issue and ideally fix the stored proc case.
I've simplified my actual queries for readability.
-- @filter is value to filter against or NULL to return all records. CREATE PROCEDURE queryPlayerStations(@filter INTEGER) AS SELECT * FROM MyTable -- Other joins and query logic omitted for brevity WHERE ((@filter IS NULL) OR (MyTable.Column = @filter)) GO
When I run the query directly in Query Analyzer, it runs very fast.
DECLARE @filter INTEGER SET @filter = NULL
-- Takes ~1 second to return 6800 rows. That's great performance SELECT * FROM MyTable -- Other joins and query logic omitted for brevity WHERE ((@filter IS NULL) OR (MyTable.Column = @filter))
When I put the parameters in the stored proc it runs fast.
CREATE PROCEDURE queryPlayerStations AS DECLARE @filter INTEGER SET @filter = NULL
SELECT * FROM MyTable -- Other joins and query logic omitted for brevity WHERE ((@filter IS NULL) OR (MyTable.Column = @filter)) GO
-- Takes ~1 second to return 6800 rows. That's great performance EXEC dbo.queryPlayerStations
Anyone have any ideas what I can do to improve the stored proc case?
i want to have a like search in the following query.
SELECT DISTINCT TOP 200 a.AccountID, a.AccountNumber, c.CLI, con.SurName, addr.Address1 [Account Address], addr.Postcode as [Account Postcode], atp.Name AS Type, cs.Code AS Status FROM account_t a INNER JOIN customer_t cust on a.customerID = cust.CustomerID INNER JOIN AccountType_T atp on cust.AccountTypeID = atp.AccountTypeID INNER JOIN CustomerStatus_T cs ON a.CustomerStatusID = cs.CustomerStatusID INNER JOIN Contacts_T con on cust.MasterContactID = con.ContactID INNER JOIN Address_T addr ON cust.MasterAddressID = addr.AddressID LEFT OUTER JOINCLI_T c ON a.AccountID = c.AccountID WHERE (c.CLI LIKE @CLI + '%') AND (con.SurName LIKE @Surname + '%') AND (addr.Address1 LIKE @Address + '%') AND (REPLACE(addr.Postcode, ' ', '') LIKE @Postcode + '%') AND c.DateArchived IS NULL
here all fields @CLI, @Surname, @Address, @Postcode are varhcar types...which is making this query very slow...is there any suggestion to improve this query?
When I want to display the total records (#) in a webpage, it is very slow. When I try to remove the total records and show them per 20s, it responds very fast.
What might be going on here? The Query is against a single table withsome criteria. The database is active with upto 200 connected usersand at peak times there are 10 or more active sessions. Most of thetime, the query comes back in milliseconds. Occasionally though, it itcan take a whole minute. I've been watching CPU, Memory, Disk. Noneof these appear to be the bottlenecking. (CPU usually below 10% andalways below 50%, pages/sec is 0, and disk % is low and does notspikes during hangs) I also checked to see if hangs were synching withTlog backups or other scheduled jobs, but that is not the case. Thebox has good hardware 4GB RAM and 2 CPU at 3.4 GHz. What could beholding this query up?Thanks for any ideas.Dave
This UNION query is very slow. With only 3,000 records in the Parent tableand 7,000 records in the Child table, it takes about 60 seconds to run andreturns about 2200 records.Any ideas on speeding it up? Thanks.-- PART 1: HAS NO CHILD RECORDSSELECT P.PROJECT_ID, 'No Child Data' AS SUB_TYPEFROM PROJECTS P LEFT JOIN PROJECTS_CHILDREN CON P.PROJECT_ID = C.PROJECT_IDWHERE P.PROJECT_ID IS NULLUNION-- PART 2: HAS CHILD RECORDS, BUT NOT OF TYPE ZSELECT PROJECT_ID, 'Child Data, Not type Z' AS SUB_TYPEFROM PROJECTSWHERE PROJECT_ID NOT IN((SELECT PROJECT_IDFROM PROJECTS_CHILDRENWHERE CHILD_TYPE Like "Z*")ANDPROJECT_ID NOT IN (SELECT P.PROJECT_IDFROM PROJECTS P LEFT JOIN PROJECTS_CHILDREN CON P.PROJECT_ID = C.PROJECT_IDWHERE P.PROJECT_ID IS NULL));
Excuse me in advance fo my little English.I've got this stored procedure************************************************** ************************************declare @Azienda as varchar(3), @Utente as varchar(20),@DataDa as datetime, @DataA as datetime,@AreaDa as varchar(3), @AreaA as varchar(3),@LineaDa as varchar(3), @LineaA as varchar(3),@TipoDa as varchar(3), @TipoA as varchar(3),@FamigliaDa as varchar(3), @FamigliaA as varchar(3),@ProdottoDa as varchar(20), @ProdottoA as varchar(20),@AgenteDa as varchar(4), @AgenteA as varchar(4),@NazioneDa as varchar(50), @NazioneA as varchar(50),@ZonaDa as Varchar(3), @ZonaA as Varchar(3),@ProvinciaDa as varchar(2), @ProvinciaA as varchar(2),@ClienteDa as Varchar(12), @ClienteA as Varchar(12),@DestinDa as varchar (5), @DestinA as varchar (5),@TipoDestinDa as varchar(1), @TipoDestinA as varchar(1),@FlagProdNoTarget as varchar(5),@GrAcqDa as varchar(10), @GrAcqA as varchar(10),@TipoCliDa as varchar(3), @TipoCliA as varchar(3),@SettMercDa as varchar(3), @SettMercA as varchar(3)Set @Azienda = '900'Set @Utente = 'Eugenio'Set @DataDa = '2004-01-01'Set @DataA = '2004-01-10'Set @AreaDa = 'UNI'Set @AreaA = 'UNI'Set @LineaDa = ''Set @LineaA = 'ZZZ'Set @TipoDa = ''Set @TipoA = 'ZZZ'Set @FamigliaDa = ''Set @FamigliaA = 'ZZZ'Set @ProdottoDa = ''Set @ProdottoA = 'ZZZZZZZZZZZZZZZZZZZZ'Set @AgenteDa = ''Set @AgenteA = 'ZZZZ'Set @NazioneDa = ''Set @NazioneA = 'ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ ZZ'Set @ZonaDa = ''Set @ZonaA = 'ZZZ'Set @ProvinciaDa = ''Set @ProvinciaA = 'ZZ'Set @ClienteDa = ''Set @ClienteA = 'ZZZZZZZZZZZZ'Set @DestinDa = ''Set @DestinA = 'ZZZZZ'Set @TipoDestinDa = ''Set @TipoDestinA = 'Z'Set @FlagProdNoTarget = 'Vero'Set @GrAcqDa = ''Set @GrAcqA = 'ZZZZZZZZZZ'Set @TipoCliDa = ''Set @TipoCliA = 'ZZZ'Set @SettMercDa = ''Set @SettMercA = 'ZZZ'Select WSDFR.AreaCommerciale,WSDFR.Agente,WSDFR.NazDestin,WSDFR.ZonaDestin,WSDFR.ProvDestin,WSDFR.Cliente,WSDFR.DescrCliente,WSDFR.GruppoAcq,WSDFR.TipoCli,WSDFR.SettMerc,WSDFR.CDestin,WSDFR.DescrDestin,WSDFR.TipoDestin,WSDFR.EsclStatis,WSDFR.EsclTarget,WSDFR.ValoreNetto,WSDFR.TpDocum,WSDFR.VCambioITL,WSDFR.VCambioEUR,WSDFR.MeseFatt,WSDFR.PosizioneFrom W_St_DocFatt_Righe WSDFRinner join UniP_Prodotti UPP onWSDFR.prodotto=UPP.CodWhere WSDFR.Dtdocum between @DataDa and @DataA andWSDFR.AreaCommerciale between @AreaDa and @AreaA andWSDFR.LineaProdotto between @LineaDa and @LineaA andWSDFR.TipoProdotto between @TipoDa and @TipoA andWSDFR.FamigliaProdotto between @FamigliaDa and @FamigliaA andWSDFR.Prodotto between @ProdottoDa and @ProdottoA andWSDFR.Agente between @AgenteDa and @AgenteA************************************************** **************************************************"W_St_DocFatt_Righe" is a view.This query run on my SQL7 server and it takes about 10 seconds.This query exists on another SQL7 server and until last week it took about10 seconds.The configuration of both servers are same. Only the hardware is different.Now, on the second server this query takes about 30 minutes to extract the same details, but anybody has changed any details.If I execute this query without Where, it'll show me the details in 7seconds.This query still takes about same time if Where isWhere WSDFR.Dtdocum between @DataDa and @DataA andWSDFR.AreaCommerciale between @AreaDa and @AreaA andWSDFR.LineaProdotto between @LineaDa and @LineaA and--WSDFR.TipoProdotto between @TipoDa and @TipoA and--WSDFR.FamigliaProdotto between @FamigliaDa and @FamigliaA andWSDFR.Prodotto between @ProdottoDa and @ProdottoA andWSDFR.Agente between @AgenteDa and @AgenteAorWhere WSDFR.Dtdocum between @DataDa and @DataA andWSDFR.AreaCommerciale between @AreaDa and @AreaA and--WSDFR.LineaProdotto between @LineaDa and @LineaA and--WSDFR.TipoProdotto between @TipoDa and @TipoA andWSDFR.FamigliaProdotto between @FamigliaDa and @FamigliaA andWSDFR.Prodotto between @ProdottoDa and @ProdottoA andWSDFR.Agente between @AgenteDa and @AgenteAorWhere WSDFR.Dtdocum between @DataDa and @DataA andWSDFR.AreaCommerciale between @AreaDa and @AreaA and--WSDFR.LineaProdotto between @LineaDa and @LineaA and--WSDFR.TipoProdotto between @TipoDa and @TipoA and--WSDFR.FamigliaProdotto between @FamigliaDa and @FamigliaA and--WSDFR.Prodotto between @ProdottoDa and @ProdottoA andWSDFR.Agente between @AgenteDa and @AgenteAIt is a real puzzle!What happen?Is there someone that had such as problems and have the right solution?Thanks in advance.ByeEugenio
Hi all.I want to use the following query in a sp to enable paging using ObjectDataSource.The problem (being EXTREMELEY slow) arises when I add these joins and where statements. SELECT r.RID AS ReqID, r.Name AS ReqName, r.Family AS ReqFamily,t3.Name AS DistName, t4.Name AS RurName,t5.Name AS VilName, n.Name+' '+n.Family AS NazerName ,ROW_NUMBER() over (order by r.Family) AS RowRankFROM Requests rLEFT OUTER JOIN Nazeran n ON r.nazerID = n.ID LEFT OUTER JOIN t1States t1 ON t1.ID = r.StateID LEFT OUTER JOIN t2Provinces t2 ON t1.ID = t2.StateID AND r.ProvID = t2.ID LEFT OUTER JOIN t3Districts t3 ON t2.ID = t3.provID AND t1.ID = t3.stateID AND r.DistID = t3.ID LEFT OUTER JOIN t4RuralDistricts t4 ON t3.ID = t4.distID AND t2.ID = t4.provID AND t1.ID = t4.stateID AND r.RurID = t4.ID LEFT OUTER JOIN t5Villages t5 ON t4.ID = t5.rurID AND t3.ID = t5.distID AND t2.ID = t5.provID AND t1.ID = t5.stateID AND r.VilID = t5.IDWHERE r.stateid=(case when @StateID is null or @StateID='' then r.stateid else @StateID end) and r.provid=(case when @provID is null or @provID='' then r.provid else @provID end) and r.rID=(case when @ReqID is null or @ReqID='' then r.rID else @ReqID end) and isnull(r.nazerID,'')=(case when @nazerID is null or @nazerID='' then isnull(r.nazerID,'') else @nazerID end) and r.name+' '+r.family like (case when @ReqName is null or @ReqName='' then r.name+' '+r.family else '%'+@ReqName+'%' end) **there are 1million rows in [Requests] table ,200000 rows in [t5villages], and about total 5000 rows in other tables.As you can see, this is for a GridView showing list of people requesting a loan allowing users to make alternative searches based on Name, Familyname ,ID ,... would you please help me optimize and make fast this query.Many thanks..