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• SQL SERVER – Performance Comparison – INSERT TOP (N) INTO Table – Using Top with INSERT

  - by pinaldave

  Recently I wrote about SQL SERVER – INSERT TOP (N) INTO Table – Using Top with INSERT I mentioned about how TOP works with INSERT. I have mentioned that I will write about the performance in next article. Here is the performance comparison of the two options. It is clear that performance of the Insert TOP (N) [...]

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• How to get full query string parameters not UrlDecoded

  - by developerit

  Introduction While developing Developer IT’s website, we came across a problem when the user search keywords containing special character like the plus ‘+’ char. We found it while looking for C++ in our search engine. The request parameter output in ASP.NET was “c “. I found it strange that it removed the ‘++’ and replaced it with a space… Analysis After a bit of Googling and Reflection, it turns out that ASP.NET calls UrlDecode on each parameters retreived by the Request(“item”) method. The Request.Params property is affected by this two since it mashes all QueryString, Forms and other collections into a single one. Workaround Finally, I solve the puzzle usign the Request.RawUrl property and parsing it with the same RegEx I use in my url re-writter. The RawUrl not affected by anything. As its name say it, it’s raw. Published on http://www.developerit.com/

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• SQL SERVER – INSERT TOP (N) INTO Table – Using Top with INSERT

  - by pinaldave

  During my recent training at one of the clients, I was asked regarding the enhancement in TOP clause. When I demonstrated my script regarding how TOP works along with INSERT, one of the attendees suggested that I should also write about this script on my blog. Let me share this with all of you and [...]

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• Oracle pl\sql question for my homework in oracle 11G class [migrated]

  - by Bjolds

  I am new to oracle 11G programming and i have run into a tough situation with pl\sql funtions and automation. I ame unsure how to create the function for the automation of Registration system for a College registration system. Here is what i want to do. I want to automate the registrations system so that it automaticly registers students. Then I want a procedure to automate the grading system. I have included the code that i am written to make most of this assignment work which it does but unsure how to incorporate Pl\SQL automated fuctions for the registrations system, and the grading system. So Any help or Ideas I would greatly appreciate please. set Linesize 250 set pagesize 150 drop table student; drop table faculty; drop table Course; drop table Section; drop table location; DROP TABLE courseInstructor; DROP TABLE Registration; DROP TABLE grade; create table student( studentid number(10), Lastname varchar2(20), Firstname Varchar2(20), MI Char(1), address Varchar2(20), city Varchar2(20), state Char(2), zip Varchar2(10), HomePhone Varchar2(10), Workphone Varchar2(10), DOB Date, Pin VARCHAR2(10), Status Char(1)); ALTER TABLE Student Add Constraint Student_StudentID_pk Primary Key (studentID); Insert into student values (1,'xxxxxxxx','xxxxxxxxxx','x','xxxxxxxxxxxxxxx','Columbus','oh','44159','xxx-xxx-xxxx','xxx-xxx-xxxx','06-Mar-1957','1211','c'); create table faculty( FacultyID Number(10), FirstName Varchar2(20), Lastname Varchar2(20), MI Char(1), workphone Varchar2(10), CellPhone Varchar2(10), Rank Varchar2(20), Experience Varchar2(10), Status Char(1)); ALTER TABLE Faculty ADD Constraint Faculty_facultyId_PK PRIMARY KEY (FacultyID); insert into faculty values (1,'xxx','xxxxxxxxxxxx',xxx-xxx-xxxx','xxx-xxx-xxxx','professor','20','f'); create table Course( CourseId number(10), CourseNumber Varchar2(20), CourseName Varchar(20), Description Varchar(20), CreditHours Number(4), Status Char(1)); ALTER TABLE Course ADD Constraint Course_CourseID_pk PRIMARY KEY(CourseID); insert into course values (1,'cit 100','computer concepts','introduction to PCs','3.0','o'); insert into course values (2,'cit 101','Database Program','Database Programming','4.0','o'); insert into course values (3,'Math 101','Algebra I','Algebra I Concepts','5.0','o'); insert into course values (4,'cit 102a','Pc applications','Aplications 1','3.0','o'); insert into course values (5,'cit 102b','pc applications','applications 2','3.0','o'); insert into course values (6,'cit 102c','pc applications','applications 3','3.0','o'); insert into course values (7,'cit 103','computer concepts','introduction systems','3.0','c'); insert into course values (8,'cit 110','Unified language','UML design','3.0','o'); insert into course values (9,'cit 165','cobol','cobol programming','3.0','o'); insert into course values (10,'cit 167','C++ Programming 1','c++ programming','4.0','o'); insert into course values (11,'cit 231','Expert Excel','spreadsheet apps','3.0','o'); insert into course values (12,'cit 233','expert Access','database devel.','3.0','o'); insert into course values (13,'cit 169','Java Programming I','Java Programming I','3.0','o'); insert into course values (14,'cit 263','Visual Basic','Visual Basic Prog','3.0','o'); insert into course values (15,'cit 275','system analysis 2','System Analysis 2','3.0','o'); create table Section( SectionID Number(10), CourseId Number(10), SectionNumber VarChar2(10), Days Varchar2(10), StartTime Date, EndTime Date, LocationID Number(10), SeatAvailable Number(3), Status Char(1)); ALTER TABLE Section ADD Constraint Section_SectionID_PK PRIMARY KEY(SectionID); insert into section values (1,1,'18977','r','21-Sep-2011','10-Dec-2011','1','89','o'); create table Location( LocationId Number(10), Building Varchar2(20), Room Varchar2(5), Capacity Number(5), Satus Char(1)); ALTER TABLE Location ADD Constraint Location_LocationID_pk PRIMARY KEY (LocationID); insert into Location values (1,'Clevleand Hall','cl209','35','o'); insert into Location values (2,'Toledo Circle','tc211','45','o'); insert into Location values (3,'Akron Square','as154','65','o'); insert into Location values (4,'Cincy Hall','ch100','45','o'); insert into Location values (5,'Springfield Dome','SD','35','o'); insert into Location values (6,'Dayton Dorm','dd225','25','o'); insert into Location values (7,'Columbus Hall','CB354','15','o'); insert into Location values (8,'Cleveland Hall','cl204','85','o'); insert into Location values (9,'Toledo Circle','tc103','75','o'); insert into Location values (10,'Akron Square','as201','46','o'); insert into Location values (11,'Cincy Hall','ch301','73','o'); insert into Location values (12,'Dayton Dorm','dd245','57','o'); insert into Location values (13,'Springfield Dome','SD','65','o'); insert into Location values (14,'Cleveland Hall','cl241','10','o'); insert into Location values (15,'Toledo Circle','tc211','27','o'); insert into Location values (16,'Akron Square','as311','28','o'); insert into Location values (17,'Cincy Hall','ch415','73','o'); insert into Location values (18,'Toledo Circle','tc111','67','o'); insert into Location values (19,'Springfield Dome','SD','69','o'); insert into Location values (20,'Dayton Dorm','dd211','45','o'); Alter Table Student Add Constraint student_Zip_CK Check(Rtrim (Zip,'1234567890-') is null); Alter Table Student ADD Constraint Student_Status_CK Check(Status In('c','t')); Alter Table Student ADD Constraint Student_MI_CK2 Check(RTRIM(MI,'abcdefghijklmnopqrstuvwxyz')is Null); Alter Table Student Modify pin not Null; Alter table Faculty Add Constraint Faculty_Status_CK Check(Status In('f','a','i')); Alter table Faculty ADD Constraint Faculty_Rank_CK Check(Rank In ('professor','doctor','instructor','assistant','tenure')); Alter table Faculty ADD Constraint Faculty_MI_CK2 Check(RTRIM(MI,'abcdefghijklmnopqrstuvwxyz')is Null); Update Section Set Starttime = To_date('09-21-2011 6:00 PM', 'mm-dd-yyyy hh:mi pm'); Update Section Set Endtime = To_date('12-10-2011 9:50 PM', 'mm-dd-yyyy hh:mi pm'); alter table Section Add Constraint StartTime_Status_CK Check (starttime < Endtime); Alter Table Section Add Constraint Section_StartTime_ck check (StartTime < EndTime); Alter Table Section ADD Constraint Section_CourseId_FK FOREIGN KEY (CourseID) References Course(CourseId); Alter Table Section ADD Constraint Section_LocationID_FK FOREIGN KEY (LocationID) References Location (LocationId); Alter Table Section ADD Constraint Section_Days_CK Check(RTRIM(Days,'mtwrfsu')IS Null); update section set seatavailable = '99'; Alter Table Section ADD Constraint Section_SeatsAvailable_CK Check (SeatAvailable < 100); Alter Table Course Add Constraint Course_CreditHours_ck check(CreditHours < = 6.0); update location set capacity = '99'; Alter Table Location Add Constraint Location_Capacity_CK Check(Capacity < 100); Create Table Registration ( StudentID Number(10), SectionID Number(10), Constraint Registration_pk Primary key (studentId, Sectionid)); Insert into registration values (1, 2); Insert into Registration values (2, 3); Insert into registration values (3, 4); Insert into registration values (4, 5); Insert into registration values (5, 6); Insert into registration values (6, 7); Insert into registration values (7, 8); Insert into registration values (8, 9); insert into registration values (9, 10); insert into registration values (10, 11); insert into registration values (9, 12); insert into registration values (8, 13); insert into registration values (7, 14); insert into registration values (6, 15); insert into registration values (5, 17); insert into registration values (4, 18); insert into registration values (3, 19); insert into registration values (2, 20); insert into registration values (1, 21); insert into registration values (2, 22); insert into registration values (3, 23); insert into registration values (4, 24); insert into registration values (5, 25); Insert into registration values (6, 24); insert into registration values (7, 23); insert into registration values (8, 22); insert into registration values (9, 21); insert into registration values (10, 20); insert into registration values (9, 19); insert into registration values (8, 17); Create Table courseInstructor( FacultyID Number(10), SectionID Number(10), Constraint CourseInstructor_pk Primary key (FacultyId, SectionID)); insert into courseInstructor values (1, 1); insert into courseInstructor values (2, 2); insert into courseInstructor values (3, 3); insert into courseInstructor values (4, 4); insert into courseInstructor values (5, 5); insert into courseInstructor values (5, 6); insert into courseInstructor values (4, 7); insert into courseInstructor values (3, 8); insert into courseInstructor values (2, 9); insert into courseInstructor values (1, 10); insert into courseInstructor values (5, 11); insert into courseInstructor values (4, 12); insert into courseInstructor values (3, 13); insert into courseInstructor values (2, 14); insert into courseInstructor values (1, 15); Create table grade( StudentID Number(10), SectionID Number(10), Grade Varchar2(1), Constraint grade_pk Primary key (StudentID, SectionID)); CREATE OR REPLACE TRIGGER TR_CreateGrade AFTER INSERT ON Registration FOR EACH ROW BEGIN INSERT INTO grade (SectionID,StudentID,Grade) VALUES(:New.SectionID,:New.StudentID,NULL); END TR_createGrade; / CREATE OR REPLACE FORCE VIEW V_reg_student_course AS SELECT Registration.StudentID, student.LastName, student.FirstName, course.CourseName, Registration.SectionID, course.CreditHours, section.Days, TO_CHAR(StartTime, 'MM/DD/YYYY') AS StartDate, TO_CHAR(StartTime, 'HH:MI PM') AS StartTime, TO_CHAR(EndTime, 'MM/DD/YYYY') AS EndDate, TO_CHAR(EndTime, 'HH:MI PM') AS EndTime, location.Building, location.Room FROM registration, student, section, course, location WHERE registration.StudentID = student.StudentID AND registration.SectionID = section.SectionID AND section.LocationID = location.LocationID AND section.CourseID = course.CourseID; CREATE OR REPLACE FORCE VIEW V_teacher_to_course AS SELECT courseInstructor.FacultyID, faculty.FirstName, faculty.LastName, courseInstructor.SectionID, section.Days, TO_CHAR(StartTime, 'MM/DD/YYYY') AS StartDate, TO_CHAR(StartTime, 'HH:MI PM') AS StartTime, TO_CHAR(EndTime, 'MM/DD/YYYY') AS EndDate, TO_CHAR(EndTime, 'HH:MI PM') AS EndTime, location.Building, location.Room FROM courseInstructor, faculty, section, course, location WHERE courseInstructor.FacultyID = faculty.FacultyID AND courseInstructor.SectionID = section.SectionID AND section.LocationID = location.LocationID AND section.CourseID = course.CourseID; SELECT * FROM V_reg_student_course; SELECT * FROM V_teacher_to_course;

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• SQL SERVER – Three Methods to Insert Multiple Rows into Single Table – SQL in Sixty Seconds #024 – Video

  - by pinaldave

  One of the biggest ask I have always received from developers is that if there is any way to insert multiple rows into a single table in a single statement. Currently when developers have to insert any value into the table they have to write multiple insert statements. First of all this is not only boring it is also very much time consuming as well. Additionally, one has to repeat the same syntax so many times that the word boring becomes an understatement. In the following quick video we have demonstrated three different methods to insert multiple values into a single table. -- Insert Multiple Values into SQL Server CREATE TABLE #SQLAuthority (ID INT, Value VARCHAR(100)); Method 1: Traditional Method of INSERT…VALUE -- Method 1 - Traditional Insert INSERT INTO #SQLAuthority (ID, Value) VALUES (1, 'First'); INSERT INTO #SQLAuthority (ID, Value) VALUES (2, 'Second'); INSERT INTO #SQLAuthority (ID, Value) VALUES (3, 'Third'); Clean up -- Clean up TRUNCATE TABLE #SQLAuthority; Method 2: INSERT…SELECT -- Method 2 - Select Union Insert INSERT INTO #SQLAuthority (ID, Value) SELECT 1, 'First' UNION ALL SELECT 2, 'Second' UNION ALL SELECT 3, 'Third'; Clean up -- Clean up TRUNCATE TABLE #SQLAuthority; Method 3: SQL Server 2008+ Row Construction -- Method 3 - SQL Server 2008+ Row Construction INSERT INTO #SQLAuthority (ID, Value) VALUES (1, 'First'), (2, 'Second'), (3, 'Third'); Clean up -- Clean up DROP TABLE #SQLAuthority; Related Tips in SQL in Sixty Seconds: SQL SERVER – Insert Multiple Records Using One Insert Statement – Use of UNION ALL SQL SERVER – 2008 – Insert Multiple Records Using One Insert Statement – Use of Row Constructor I encourage you to submit your ideas for SQL in Sixty Seconds. We will try to accommodate as many as we can. If we like your idea we promise to share with you educational material. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video

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• I'm trying to populate a MySQL table with some data, but, mysqli won't let me insert every 10th stat

  - by Tunji Gbadamosi

  I want to initialise a 'ticket' table with some ticket IDs. To do this, I want to insert 120 ticket IDs into the table. However, at every 10th statement, MySQL tells me that the ID already exists and thus won't let me insert it. Here's my code: //make a query $insert_ticket_query = "INSERT INTO ticket (id) VALUES (?)"; $insert_ticket_stmt = $mysqli->stmt_init(); $insert_ticket_stmt->prepare($insert_ticket_query); $insert_ticket_stmt->bind_param('s', $ticket_id); $mysqli->autocommit(FALSE); //start transaction for($i=0;$i<NO_GUESTS;$i++){ $id = generate_id($i); $ticket_id = format_id($id, $prefix['ticket'], $suffix['ticket']); $t_id = $ticket_id; //echo '<p>'.$ticket_id.'</p>'; //$result = $mysqli->query("SELECT * FROM ticket WHERE id='".$ticket_id."'"); //$row_count = $result->num_rows; if(($result = $mysqli->query("SELECT * FROM ticket WHERE id='".$t_id."'")) == FALSE){ $result->close(); if($insert_ticket_stmt->execute()){ $mysqli->commit(); echo "<p>".$t_id."added to the ticket table!</p>"; } else{ $mysqli->rollback(); echo "problem inserting'".$t_id."' to the ticket table"; } } else{ echo "<p>".$t_id."already exists, so not adding it!</p>"; $result->close(); } } $mysqli->autocommit(TRUE); $insert_ticket_stmt->close(); ?>

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• SQL SERVER – Merge Operations – Insert, Update, Delete in Single Execution

  - by pinaldave

  This blog post is written in response to T-SQL Tuesday hosted by Jorge Segarra (aka SQLChicken). I have been very active using these Merge operations in my development. However, I have found out from my consultancy work and friends that these amazing operations are not utilized by them most of the time. Here is my attempt to bring the necessity of using the Merge Operation to surface one more time. MERGE is a new feature that provides an efficient way to do multiple DML operations. In earlier versions of SQL Server, we had to write separate statements to INSERT, UPDATE, or DELETE data based on certain conditions; however, at present, by using the MERGE statement, we can include the logic of such data changes in one statement that even checks when the data is matched and then just update it, and similarly, when the data is unmatched, it is inserted. One of the most important advantages of MERGE statement is that the entire data are read and processed only once. In earlier versions, three different statements had to be written to process three different activities (INSERT, UPDATE or DELETE); however, by using MERGE statement, all the update activities can be done in one pass of database table. I have written about these Merge Operations earlier in my blog post over here SQL SERVER – 2008 – Introduction to Merge Statement – One Statement for INSERT, UPDATE, DELETE. I was asked by one of the readers that how do we know that this operator was doing everything in single pass and was not calling this Merge Operator multiple times. Let us run the same example which I have used earlier; I am listing the same here again for convenience. --Let’s create Student Details and StudentTotalMarks and inserted some records. USE tempdb GO CREATE TABLE StudentDetails ( StudentID INTEGER PRIMARY KEY, StudentName VARCHAR(15) ) GO INSERT INTO StudentDetails VALUES(1,'SMITH') INSERT INTO StudentDetails VALUES(2,'ALLEN') INSERT INTO StudentDetails VALUES(3,'JONES') INSERT INTO StudentDetails VALUES(4,'MARTIN') INSERT INTO StudentDetails VALUES(5,'JAMES') GO CREATE TABLE StudentTotalMarks ( StudentID INTEGER REFERENCES StudentDetails, StudentMarks INTEGER ) GO INSERT INTO StudentTotalMarks VALUES(1,230) INSERT INTO StudentTotalMarks VALUES(2,255) INSERT INTO StudentTotalMarks VALUES(3,200) GO -- Select from Table SELECT * FROM StudentDetails GO SELECT * FROM StudentTotalMarks GO -- Merge Statement MERGE StudentTotalMarks AS stm USING (SELECT StudentID,StudentName FROM StudentDetails) AS sd ON stm.StudentID = sd.StudentID WHEN MATCHED AND stm.StudentMarks > 250 THEN DELETE WHEN MATCHED THEN UPDATE SET stm.StudentMarks = stm.StudentMarks + 25 WHEN NOT MATCHED THEN INSERT(StudentID,StudentMarks) VALUES(sd.StudentID,25); GO -- Select from Table SELECT * FROM StudentDetails GO SELECT * FROM StudentTotalMarks GO -- Clean up DROP TABLE StudentDetails GO DROP TABLE StudentTotalMarks GO The Merge Join performs very well and the following result is obtained. Let us check the execution plan for the merge operator. You can click on following image to enlarge it. Let us evaluate the execution plan for the Table Merge Operator only. We can clearly see that the Number of Executions property suggests value 1. Which is quite clear that in a single PASS, the Merge Operation completes the operations of Insert, Update and Delete. I strongly suggest you all to use this operation, if possible, in your development. I have seen this operation implemented in many data warehousing applications. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Joins, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Merge

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• Stored Procedure for Multi-Table Insert Error: Cannot Insert the Value Null into Column

  - by SidC

  Good Evening All, I've created the following stored procedure: CREATE PROCEDURE AddQuote -- Add the parameters for the stored procedure here AS BEGIN -- SET NOCOUNT ON added to prevent extra result sets from -- interfering with SELECT statements. SET NOCOUNT ON; Declare @CompanyName nvarchar(50), @Addr nvarchar(50), @City nvarchar(50), @State nvarchar(2), @Zip nvarchar(5), @NeedDate datetime, @PartNumber float, @Qty int -- Insert statements for procedure here Insert into dbo.Customers (CompanyName, Address, City, State, ZipCode) Values (@CompanyName, @Addr, @City, @State, @Zip) Insert into dbo.Orders (NeedbyDate) Values(@NeedDate) Insert into dbo.OrderDetail (fkPartNumber,Qty) Values (@PartNumber,@Qty) END GO When I execute AddQuote, I receive an error stating: Msg 515, Level 16, State 2, Procedure AddQuote, Line 31 Cannot insert the value NULL into column 'ID', table 'Diel_inventory.dbo.OrderDetail'; column does not allow nulls. INSERT fails. The statement has been terminated. I understand that I've set Qty field to not allow nulls and want to continue doing so. However, are there other syntax changes I should make to ensure that this sproc works correctly? Thanks, Sid

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• SQL University: Parallelism Week - Part 2, Query Processing

  - by Adam Machanic

  Welcome back for the second part of Parallelism Week here at SQL University . Get your pencils ready, and make sure to raise your hand if you have a question. Last time we covered the necessary background material to help you understand how the SQL Server Operating System schedules its many active threads, and the differences between its behavior and that of the Windows operating system's scheduler. We also discussed some of the variations on the theme of parallel processing. Today we'll take a look...(read more)

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• SQL Server giving a weird conversion error

  - by codingguy3000

  Hello Everyone I'm stuck and any help you can give me is greatly appreciated. create table stackoverflow_rules(myguid uniqueidentifier primary key, myvarchar50 varchar(50)) insert into stackoverflow_rules(myguid, myvarchar50) values('27C4CF31-2C4C-4C78-BBDC-2D0FDAA891CF','9985276') insert into stackoverflow_rules(myguid, myvarchar50) values('6F865BBD-1D79-4931-BCFE-71AD7A14B145','9985275') insert into stackoverflow_rules(myguid, myvarchar50) values('C91124D9-CE83-44C6-A979-427858BBCDCE','9985274') insert into stackoverflow_rules(myguid, myvarchar50) values('18D89F3C-D15D-4A27-9695-CE4417A9D752','9985273') insert into stackoverflow_rules(myguid, myvarchar50) values('40C9A127-D50D-440C-A6BF-A3C292B56121','9985272') insert into stackoverflow_rules(myguid, myvarchar50) values('3191CE74-6443-4DF0-ABFB-4083150E27A7','9985271') insert into stackoverflow_rules(myguid, myvarchar50) values('489606B3-8EE8-4308-BD3B-660FEC999B84','9985270') insert into stackoverflow_rules(myguid, myvarchar50) values('7FB986D6-7ACF-4453-B124-E688514D3A84','9985269') insert into stackoverflow_rules(myguid, myvarchar50) values('2E1662CB-FBC2-418A-9FFD-453895EE6FA4','9985268') insert into stackoverflow_rules(myguid, myvarchar50) values('6180E683-AA19-4B5D-9AA1-370B9AA8C156','9985267') insert into stackoverflow_rules(myguid, myvarchar50) values('39BDD429-4C49-4351-951F-016B89E700D0','9985267') insert into stackoverflow_rules(myguid, myvarchar50) values('9A09CF26-B168-48D2-9178-EBBD6C0BA5F4','9985267') insert into stackoverflow_rules(myguid, myvarchar50) values('56BA06A7-71F6-4AC2-817A-69A3E800BE54','9985266') insert into stackoverflow_rules(myguid, myvarchar50) values('35D8C2FE-4793-40BC-AECA-10AA722866AE','9985265') insert into stackoverflow_rules(myguid, myvarchar50) values('84162588-D2A2-4B67-869D-2D7A0CB3ABEC','9985264') insert into stackoverflow_rules(myguid, myvarchar50) values('05A8BE08-B0CF-4ADC-A901-2DB6B70713DA','9985263') insert into stackoverflow_rules(myguid, myvarchar50) values('11E1B3F5-5EC0-43BF-B868-B30BCC5F97B3','9985262') insert into stackoverflow_rules(myguid, myvarchar50) values('D48875E9-4A2B-4A5E-8C3A-6788ADD2E44E','9985261') insert into stackoverflow_rules(myguid, myvarchar50) values('5C29D799-5F86-4B5D-8B31-1AFB9E289417','9985260') insert into stackoverflow_rules(myguid, myvarchar50) values('3FAF4D60-F06A-4754-A26F-61DE6A121E9E','9985259') insert into stackoverflow_rules(myguid, myvarchar50) values('4F001BF6-BF60-4F40-AAE1-32CD707E87F8','9985258') insert into stackoverflow_rules(myguid, myvarchar50) values('56A91F39-F9D2-438C-A424-F26ED799F723','9985258') insert into stackoverflow_rules(myguid, myvarchar50) values('F55F72CA-0C2B-4DE7-B725-C9521CD57B23','9985257') insert into stackoverflow_rules(myguid, myvarchar50) values('364808A7-46E6-4639-A14D-6A350A56D2A0','9985256') insert into stackoverflow_rules(myguid, myvarchar50) values('68FA5B18-BBE3-4F1F-A9DE-D46853AD5D4A','9985255') insert into stackoverflow_rules(myguid, myvarchar50) values('B0118D37-807A-4D29-9B56-790F3D810C64','9985254') insert into stackoverflow_rules(myguid, myvarchar50) values('E998F33E-F05A-4C49-8CC2-B90BCFA9AE0E','9985253') insert into stackoverflow_rules(myguid, myvarchar50) values('A0531477-335C-4A7D-A1E7-1DAD54ECB7AD','9985252') insert into stackoverflow_rules(myguid, myvarchar50) values('96540D09-BA49-413B-9FD6-228DF524BE1A','9985251') insert into stackoverflow_rules(myguid, myvarchar50) values('23CD3C18-DAE2-463B-B27C-977488DF9C5F','9985251') insert into stackoverflow_rules(myguid, myvarchar50) values('8BF4AE7D-0AF0-47F9-9388-A2D4CA4C3160','9985250') insert into stackoverflow_rules(myguid, myvarchar50) values('E1892F4D-471C-4A49-8D68-F9F1E6E9C275','9985249') insert into stackoverflow_rules(myguid, myvarchar50) values('641A62CC-1DEE-4DFD-BC9A-DD47D7C45B18','9985248') insert into stackoverflow_rules(myguid, myvarchar50) values('3AF2F7CA-489D-4A79-A6F5-DB5578F381D0','9985247') insert into stackoverflow_rules(myguid, myvarchar50) values('939B3773-BE13-483C-A27F-5594A23AB6F2','9985247') insert into stackoverflow_rules(myguid, myvarchar50) values('81A5FD90-1E2D-4DB5-A10F-5624A576D566','9985247') insert into stackoverflow_rules(myguid, myvarchar50) values('E87109DD-7283-4B60-AB7F-F9A3DD384E52','9985247') insert into stackoverflow_rules(myguid, myvarchar50) values('689A789F-0FFC-45AE-87DF-66C5130338E2','9985246') insert into stackoverflow_rules(myguid, myvarchar50) values('4A9D3A2D-940B-4D45-8234-A1C98FF8A2FB','9985246') insert into stackoverflow_rules(myguid, myvarchar50) values('75073565-E623-40FC-AEF3-81620F2514A8','9985245') insert into stackoverflow_rules(myguid, myvarchar50) values('DB583FF8-1635-47C1-8241-D37C015C7642','9985244') insert into stackoverflow_rules(myguid, myvarchar50) values('39EA148B-55D1-4878-925A-39FA8592F451','9985243') insert into stackoverflow_rules(myguid, myvarchar50) values('BF1CE2D7-ABD3-460B-A7DC-BD0E2B2A5388','9985242') insert into stackoverflow_rules(myguid, myvarchar50) values('B6431717-26F0-436E-9DCC-C0C5240AC329','9985242') insert into stackoverflow_rules(myguid, myvarchar50) values('4F22E672-6F3D-454C-ABA7-D9B84D12DDE0','9985241') insert into stackoverflow_rules(myguid, myvarchar50) values('0436E893-DC43-4FF7-8BDC-BD0BF9E9A55D','9985240') insert into stackoverflow_rules(myguid, myvarchar50) values('60B2FE73-3575-4047-B324-63620FEACD6B','9985239') insert into stackoverflow_rules(myguid, myvarchar50) values('2041E1E5-F60F-4494-A000-F349F49662EC','9985238') insert into stackoverflow_rules(myguid, myvarchar50) values('B89636C8-4648-4058-8DC6-95DCE468CA63','9985237') insert into stackoverflow_rules(myguid, myvarchar50) values('4EC1B486-1E9C-4B41-94C1-5B24471BAD3D','9985236') insert into stackoverflow_rules(myguid, myvarchar50) values('4C86120E-1A27-4F59-948B-F11D8ACD498E','9985234') insert into stackoverflow_rules(myguid, myvarchar50) values('E8A1EA7A-5337-4769-9D23-25F7BFB589AF','9985217') insert into stackoverflow_rules(myguid, myvarchar50) values('6E7982F0-5899-4214-A05A-262E05A540CB','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C55B838F-FD63-40E9-97AF-25E02A37ABB7','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('95296596-ED86-4A88-8C46-27CF79D4AFB9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('149BC6CC-857C-4CD7-B374-29EE6382CFCF','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5D3E88FC-1DB5-4BAF-A16B-29F2A2C7D997','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1FDB6AD4-3860-411E-A247-22B9D00C9053','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('83BD156B-C5ED-460E-95F0-21E8B4254BF8','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2FD09C37-E224-414D-8C41-220B6528EB9C','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A46D0B0D-70E2-4AEF-BF30-2244FFA8EF9E','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('824B7F04-51B4-48F6-920A-1FDE8571E32F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('79DD6034-A9DC-4AC1-9CD3-338F0521AC99','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BFD35E07-C5DE-4C8B-ADC4-36069655F450','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('D655AD53-8107-481B-A1C9-340A7B31EFB6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7E6FF0E9-E1F4-4522-AB91-1A64C2AC0E3A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('3A977BFE-17F6-46FA-8568-1A8ED2F48483','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('D95A941D-DEB3-46B5-8B2B-1AC9741824ED','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('55528060-12AE-4C2E-A4A1-11E40881DEAE','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('E99B4179-DE6E-4FCB-B7B9-165C05A94424','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('20D2D92B-E45A-4883-A114-109C41E2F278','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7161CC4A-0B3E-4B97-A973-0C5A7F26CC0D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5E267539-8412-4423-A82C-0C74C995D561','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('AE173244-38CD-4B8D-A1CB-0DC112AC6F54','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('3ED8BF74-D0D1-4D11-92B3-008F11E34308','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('6F77EAF9-0520-495A-ADB5-027F611E418D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('34DAFFBC-0733-4EC0-8607-0287DA5929D6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5266FB2F-2829-4C60-91E7-00D9A0832B8E','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A1EC9933-92F0-4805-93C2-071F503BE816','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('EC19E064-940A-4EEA-9A12-07D2A0680C03','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7CA5F400-0E57-4A86-B4E1-094720E98B56','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('3A7F95B9-79B6-4323-B390-5B30AE23F66C','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('CCA677CB-8889-40E6-8FDC-54C33DCBAD93','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('345FACAF-90B2-4B2D-B6CF-577F242F28C9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('20531AFD-21EB-4B75-B50C-5FEABDAE29DB','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A8FF5B5F-7976-43FE-B013-67CEE5F07710','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('AEF6E39A-6CC2-48E8-9999-65D7CD103A45','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('8AB565EE-4A53-40B9-9D95-66034FD72B6D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B0DAC1F6-B7E0-476F-8543-6282203A72C7','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('DACE56ED-5964-44FD-9E35-68E3B409B2D7','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C64F5A8A-1930-4824-9F0E-68EF848F2F86','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('38817195-BDB0-44AC-988D-690BE9E50FD0','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BF4202D8-A23A-48DB-8799-694578EED45A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('D26A3E39-EEA2-4928-82F9-676B3F901021','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('0D3F16C2-237A-4461-9851-6B0555EDADCE','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('F8CCEE52-A31D-4B6D-9F9F-6D53BE7EB919','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BCE3146A-AACE-4CF5-ADF1-3D5E57827D96','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5D6E4347-ABC8-4892-89EC-3FE666A8523B','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('8BD465A9-DC91-4960-BCC7-42EAEE51024A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('54FCE80F-F551-4548-BCE2-4499AB66D93F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('843C8651-A95D-458F-A6E7-488F5978FB56','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('4BE7BC8D-BC97-4F8F-85BB-48CC970B9465','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('6C611A14-11CC-454D-A9C8-48CF0B2776A9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('50819781-F028-4976-A406-45D88804C566','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1EE5DBE0-0EA3-4F9B-8C78-469D00888892','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('33B87A5D-CB69-4BD2-BEC8-4D90D6A21232','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C31D7CD1-E9BA-4B03-BB11-4DE7022A45AD','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2E1FC057-4C57-4C27-86E4-4EC887B77ABE','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7811CF7B-2935-47A6-92CB-520C4E0AEC4A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2DAB5B2D-3D94-4F47-B7F5-536FAF08BCC6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2F405742-CF20-4995-84D3-976B108DBB99','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2852C9C8-325D-4C82-837E-9D6E751B794F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('40E87A07-DA9B-4277-90BB-8FA994470CB1','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('732DF392-C8D6-4EEF-B046-8FC6C0DB4DEC','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('AA55681E-FE4A-46E9-8809-928941C165AD','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C146FDD8-EF42-48B4-A357-90CEE93FE902','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A0FEAAAD-8B44-4797-BD1F-A34AC872EC39','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A45F22EE-8740-4A3B-ABB5-A8F7EE32B107','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1A073622-C5D6-41B0-BCC2-8220ED1978BA','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C7CFCCDC-5ADF-4BCF-BBE4-7E6D611B96CC','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A618A9A7-5DAC-4658-9B6F-7FC091C49122','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('0F698448-929F-4E3B-A6B1-810BF66DC9AD','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2FD04ED9-AC24-4E80-8902-7AF2351DAB7B','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2DA5D721-DFDD-4E96-9A5C-7DF7B0FA9ABB','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('76816CF3-FB2E-440D-91E7-7FF179CE2702','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('228A8BC4-D136-4FDA-B006-84FD69D583A0','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('838DCC6F-0C37-4144-9461-892F1DE2A0D4','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('E65DF83F-FDA5-4883-9E29-8CAB66297328','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('621547A3-613E-4CB7-9537-8D1FF987ADC7','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2ABB681F-5258-4DF3-A0B8-89962ADDBCB8','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('F54E5C88-17FA-407C-B457-8B69077748E9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('63D66460-3834-4873-9BD4-74148EC300F4','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('14A19194-457F-40D3-B08E-715EF830FD75','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('75CF2565-D36A-46F6-935E-BFD82144B8A2','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('EDA93745-2009-41F6-B01F-C3F9930C0F67','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('20CFC7EE-7188-49F0-BDEB-C0CAF3610F2C','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('ED6EDD00-2151-4CA7-9F22-BF6DE74B0622','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('EC8DAC77-E516-4B8E-9FB8-C5A4C963563A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C6FDECC9-24BE-4AA0-B33C-C9195DC630B0','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BD9890BA-8F8A-4596-B0F0-BA2F3467E5B4','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2F496F30-1E08-4174-ABE4-BBE3977268EF','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2CD7D3D2-77D4-43DE-A44F-B248AAF8891F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('FFC7E6E7-00E9-41E8-BD11-B0EFD4BA3971','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B8348F9C-D57F-4561-9981-B14DAEE7257B','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2CAE1761-8DB0-4D18-8FF6-AD79D44EF699','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('9A241CB7-1FAE-4767-8E13-AF3A66123DC0','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B836DB33-FB5A-4FF7-A293-D7A29488A6F6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('23207756-F6E1-406C-AEAC-DFC1710E3E41','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('64ED1587-8791-414F-B2EA-E265584BECE9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('07442948-0FE7-4EDD-8779-E4808B20852C','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('ACAE3351-3EDF-43E3-8021-E4CBAF20BA55','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1E96680B-1E92-40F2-AAAE-E4D524206982','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('57A0F1D0-8029-4110-9C2A-D3A2F13E6776','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('D0A76745-1930-4755-90EA-D3CA0240BA6D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5379B540-4DCC-4A71-BE19-D1DA4B808A4D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B41B60EB-5C83-4CA6-8768-D2226A164FB6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('31CA2727-7227-4377-B127-D261AA0CD304','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BD7102BB-FA67-4A33-82C4-D3616ED7CB3F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7090FCA6-144A-430B-A609-CDDFB39C4D25','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('382BE0D2-A92A-4D73-B2CE-D640A2BBA523','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1A4011C0-40C8-4ABD-8ACF-D6D3A220B940','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('53A62E1F-5926-4DEA-A7FB-C99B14A2120D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('24C84EE0-70DF-4602-B133-F1CB765F2B29','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B40C80C7-26C0-43F9-9B8A-F2C46A6FD79F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('8F9FE478-6961-4042-A62D-F464F21BFC46','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('6E9B27D8-C963-4413-ABB5-F31F307F2AE1','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1CCAB652-042A-4C6F-B89B-ECBFFCA468C6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('FDA7C815-F4ED-4E6D-AE95-ED18005651EB','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('6D48A842-B5F9-45AA-BC3C-EF74C911E2FC','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('571A48F3-10E2-419C-8E72-EB4B833FA2A2','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('27C54188-4CD7-447D-9C47-E7C7F4A87A47','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('0F8E94BC-1612-4086-A6C1-E883C83758E4','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('24315A1A-CFD9-4984-AF64-F9A79E960D45','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('38602998-8149-4B6A-91EA-F9D4B93810A6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1FDB6A11-E422-4EA1-B4AC-FDD1197BB7F3','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('FDDCB1EA-37C9-4833-BDD8-FEFDEEF0A749','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5241815C-CE10-4C08-BE01-CB2D1012CCF0','9980066') insert into stackoverflow_rules(myguid, myvarchar50) values('D0E5E79E-4502-42F8-B8C6-EDE3D20526B4','9970234') insert into stackoverflow_rules(myguid, myvarchar50) values('B173FC5D-BAB3-4942-A904-D9D3BA66A1ED','9960234') insert into stackoverflow_rules(myguid, myvarchar50) values('D5C2A2D9-2BA6-4059-896C-B464C8C8CB5F','9960234') insert into stackoverflow_rules(myguid, myvarchar50) values('32B865C7-1D67-457A-9550-DFDBCBFB12C6','9951166') insert into stackoverflow_rules(myguid, myvarchar50) values('82F0A99B-0C88-44EB-BE50-265C6C4C1B86','9400000') insert into stackoverflow_rules(myguid, myvarchar50) values('BDE9DC0D-B9A7-4AC9-83D5-8F9ED5F25FDA','9299199') insert into stackoverflow_rules(myguid, myvarchar50) values('2FE2415A-9D51-4AD4-9679-74BDA93DC6A6','9299166') insert into stackoverflow_rules(myguid, myvarchar50) values('4BC3D4FF-5FBB-484E-8BC6-CFE90706E3D2','9299111') insert into stackoverflow_rules(myguid, myvarchar50) values('0FC22F14-A499-4C8C-9E6B-0CF613ACF505','9281266') insert into stackoverflow_rules(myguid, myvarchar50) values('AC6B2795-A9A0-40DF-9BAF-04D4A74F4B9B','9281166') insert into stackoverflow_rules(myguid, myvarchar50) values('DAA73B60-65B9-46B2-B1AC-76A74B621700','9281166') insert into stackoverflow_rules(myguid, myvarchar50) values('D419DCBB-A76E-47DF-A59D-803AFAB770C5','9281166') insert into stackoverflow_rules(myguid, myvarchar50) values('405847E0-4764-4409-81E8-8ECCCAAE94BB','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('76D59559-F986-45EF-9F74-7870D97A377D','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('3F6F78A9-7930-4F76-839F-77304396CBC3','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('2C1A62F2-B783-432B-B83A-6BD8B29EE2DE','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('D371D319-6E88-4286-A46E-6C1905ADD6AC','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('10C42C2E-DC1A-43C4-959C-98D3A798D631','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('215F0003-188D-45C9-85BE-9B3811760CCB','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('4DD2BA43-BA1C-44BE-8C10-996454D63205','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('26D863E7-6F96-42BC-A2BA-99B30D94F6D9','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('625A2793-A60F-4FE7-9BD4-A953877B258D','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('5B5A2538-74E0-4A6F-9929-AA29BA3BDCCE','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('B8597353-0254-42AB-BAF7-AA4DAF195CC8','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('22F392BC-B42C-434F-9E32-AB8DFFC6EA76','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('E703EEE4-82B1-43C0-914F-ABCF3EF53E91','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('09BD6548-7395-4450-A7CA-D0AB0631F222','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('71D737EB-59CA-4685-827D-E17A0B4FA44D','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('F09ACB1E-64B0-4F29-86BF-E323C5347883','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('8A39E85B-8E49-44C1-8B4A-B9D79CC3F97F','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('E3BE436C-0BEC-45CE-9680-AFCE70D59B84','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('915D4F2A-8430-479F-84ED-064A3D6889DA','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('FF6DEFF5-072D-4E14-A6C2-0EF4862CCF28','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('2E7944D1-5A85-4D85-9660-138F30BED95C','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('E449E8A8-1CE4-49DE-898F-1C357777B674','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('65E89A21-5908-4913-840A-28E625F4C003','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('E23175FD-B60E-4FD4-A99A-2DB232BCB6B1','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('A521CC05-21C1-4759-AA00-384014F9C4CB','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('218CE896-8D3F-447B-A504-33428F797CE2','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('D4A3A407-20BF-481D-95DE-2C2BED13FD60','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('B5FCEB1B-3F0D-4DFE-B47D-4D44E88879A1','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('519BB489-1606-4A64-BA49-456DE79FC471','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('837D5167-CE68-4840-9592-432D371EE3AF','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('F140182F-844E-4CA7-BAA1-6A96FA726A93','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('8FB3AE45-3BFF-4DBF-ABAE-61A97EE73F36','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('33D59F0B-DAD6-4608-BF70-F2C49805FF54','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('5BFB5CEC-1322-49B0-A626-EC94092998A3','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('8AB2E1F8-A4F6-48AC-B789-FB1F46A89617','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('CD559FD0-552F-4F54-A638-F86878413D7B','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('D23AC171-E7E8-4310-B3B5-1253CCA33E5C','9251166') insert into stackoverflow_rules(myguid, myvarchar50) values('0E777743-0C70-4D76-9293-076F9DBC02EB','9251166') insert into stackoverflow_rules(myguid, myvarchar50) values('B0CDE199-9BDF-4CDD-8E32-1384CB8512B4','9200166') insert into stackoverflow_rules(myguid, myvarchar50) values('1F48F171-5179-4EC9-9554-2DA6EF60B9E8','9002266') insert into stackoverflow_rules(myguid, myvarchar50) values('A9168993-F6AF-4F81-A166-441411E72691','9001166') insert into stackoverflow_rules(myguid, myvarchar50) values('25FB4906-2AC8-4A29-B077-C4BC681D3227','9000001') insert into stackoverflow_rules(myguid, myvarchar50) values('02E14983-49E2-4867-B0C2-0BCF9BC3BAB6','8860235') insert into stackoverflow_rules(myguid, myvarchar50) values('53F915DE-1A8A-4A75-A661-0CAB56F39B11','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('834F1EB8-AEA0-435F-81AF-0C212BD54A17','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('797AFF3A-8CB0-4AE8-8430-0ED04A72394B','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('56B83693-3F46-4D8F-93A8-098517C96E94','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('1559018C-71F3-45FC-9642-09DFCC06EA78','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('04A86146-97FC-46C4-B1FE-07E916509908','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('1A3367B3-CB36-40CA-8D7D-02206840089A','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('33626BD1-AED2-4AEF-9289-199F641FDFE0','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('8468E795-71A8-4417-8179-1778FD7E915E','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('9EE6FF40-AAFB-46A8-8655-186515189AB8','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('D314A6A4-BBB5-4499-9EF4-1B37EA9131B6','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('788898AF-48E6-4DA0-BDBB-12871FE81D35','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('34D55FA5-FF82-49B5-A4EF-144999BB1B4F','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('C8FF93B1-EB7C-4711-85BA-14C78B7A27C1','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('54199346-624C-4B1E-8293-14EE9C6EF23B','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('5105C133-9120-4075-9EB6-151569E0719D','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('D03366DB-BC4A-44CC-ABC8-151F627E2A95','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('40EF76A3-2250-4840-90C1-1577AE855EEE','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('8E229744-7528-4727-880A-168331E72ED0','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('10F66C0C-C97B-4A8B-9FAC-160F3AA09A62','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('8173CB1C-A65D-4B89-9BD3-2DC4BA2F4C72','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('1CEAE246-6323-402D-95DB-2AC25DF1FD83','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('BB859D4A-3B1C-40FC-8C74-2BD44902894C','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('A31C45AF-D149-4789-A22D-2FB3E6A17627','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('52F98EEC-D3AC-429C-948F-306FA865EDE7','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('06E84032-C102-49F4-B544-3169FC1C62F4','8860234') insert into stackoverflo

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• Importing data from text file to specific columns using BULK INSERT

  - by Dinesh Asanka

  Bulk insert is much faster than using other techniques such as  SSIS. However, when you are using bulk insert you can’t insert to specific columns. If, for example, there are five columns in a table you should have five values for each record in the text file you are importing from. This is an issue when you are expecting default values to be inserted into tables. Let us say you have table as below: In this table, you are expecting ID, Status and CreatedDate to be updated automatically, so your text file may only have   FirstName  LastName  values as below: Dinesh,Asanka Saman,Liyanage Ruwan,Silva Susantha,Bathige Jude,Peires Sanjeewa,Jayawickrama If you use bulk insert to this table like follows, You will be returned an error: Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 1, column 1 (ID). To avoid this you will need to create a view with the columns you are expecting to fill and use bulk insert against it. If you check the table now, you will see table with values in the text file and the default values.

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• Complex query making site extremely slow

  - by Basit

  select SQL_CALC_FOUND_ROWS DISTINCT media.*, username from album as album, album_permission as permission, user as user, media as media , word_tag as word_tag, tag as tag where ((media.album_id = album.album_id and album.private = 'yes' and album.album_id = permission.album_id and (permission.email = '' or permission.user_id = '') ) or (media.album_id = album.album_id and album.private = 'no' ) or media.album_id = '0' ) and media.status = '1' and media.user_id = user.user_id and word_tag.media_id = media.media_id and word_tag.tag_id = tag.tag_id and tag.name in ('justin','bieber','malfunction','katherine','heigl','wardrobe','cinetube') and media.media_type = 'video' and media.media_id not in ('YHL6a5z8MV4') group by media.media_id order by RAND() #there is limit too, by 20 rows.. i dont know where to begin explaining about this query, but please forgive me and ask me if you have any question. following is the explanation. SQL_CALC_FOUND_ROWS is calculating how many rows are there and will be using for pagination, so it counts total records, even tho only 20 is showing. DISTINCT will stop the repeated row to display. username is from user table. album, album_permission. its checking if album is private and if it is, then check if user has permission, by user_id. i think rest is easy to understand, but if you need to know more about it, then please ask. im really frustrated by this query and site is very slow or not opening sometimes cause of this query. please help

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• Insert array to mysql database php

  - by ganjan

  Hi. I want to add an array to my db. I have set up a function that checks if a value in the db (ex. health and money) has changed. If the value is diffrent from the original I add the new value to the $db array. Like this $db['money'] = $money_input + $money_db;. function modify_user_info($conn, $money_input, $health_input){ (...) if ($result = $conn->query($query)) { while ($user = $result->fetch_assoc()) { $money_db = $user["money"]; $health_db = $user["health"]; } $result->close(); //lag array til db med kolonnene som skal fylles ut som keys i array if ($user["money"] != $money_input){ $db['money'] = $money_input + $money_db; //0 - 20 if (!preg_match("/^[[0-9]{0,20}$/i", $db['money'])){ echo "error"; return false; } } if ($user["health"] != $health_input){ $db['health'] = $health_input + $health_db; //0 - 4 if (!preg_match("/^[[0-9]{0,4}$/i", $db['health'])){ echo "error"; return false; } if (($db['health'] < 1) or ($db['health'] > 1000)) { echo "error"; return false; } } The keys in $db represent colums in my database. Now I want to make a function that takes the keys in the array $db and insert them in the db. Something like this ? $query = "INSERT INTO `main_log` ( `id` , "; foreach(range(0, x) as $num) { $query .= array_key.", "; } $query = substr($query, 0, -3); $query .= " VALUES ('', "; foreach(range(0, x) as $num) { $query .= array_value.", "; } $query = substr($query, 0, -3); $query .= ")";

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• SQL SERVER – SSMS Automatically Generates TOP (100) PERCENT in Query Designer

  - by pinaldave

  Earlier this week, I was surfing various SQL forums to see what kind of help developer need in the SQL Server world. One of the question indeed caught my attention. I am here regenerating complete question as well scenario to illustrate the point in a precise manner. Additionally, I have added added second part of the question to give completeness. Question: I am trying to create a view in Query Designer (not in the New Query Window). Every time I am trying to create a view it always adds  TOP (100) PERCENT automatically on the T-SQL script. No matter what I do, it always automatically adds the TOP (100) PERCENT to the script. I have attempted to copy paste from notepad, build a query and a few other things – there is no success. I am really not sure what I am doing wrong with Query Designer. Here is my query script: (I use AdventureWorks as a sample database) SELECT Person.Address.AddressID FROM Person.Address INNER JOIN Person.AddressType ON Person.Address.AddressID = Person.AddressType.AddressTypeID ORDER BY Person.Address.AddressID This script automatically replaces by following query: SELECT TOP (100) PERCENT Person.Address.AddressID FROM Person.Address INNER JOIN Person.AddressType ON Person.Address.AddressID = Person.AddressType.AddressTypeID ORDER BY Person.Address.AddressID However, when I try to do the same from New Query Window it works totally fine. However, when I attempt to create a view of the same query it gives following error. Msg 1033, Level 15, State 1, Procedure myView, Line 6 The ORDER BY clause is invalid in views, inline functions, derived tables, subqueries, and common table expressions, unless TOP, OFFSET or FOR XML is also specified. It is pretty clear to me now that the script which I have written seems to need TOP (100) PERCENT, so Query . Why do I need it? Is there any work around to this issue. I particularly find this question pretty interesting as it really touches the fundamentals of the T-SQL query writing. Please note that the query which is automatically changed is not in New Query Editor but opened from SSMS using following way. Database >> Views >> Right Click >> New View (see the image below) Answer: The answer to the above question can be very long but I will keep it simple and to the point. There are three things to discuss in above script 1) Reason for Error 2) Reason for Auto generates TOP (100) PERCENT and 3) Potential solutions to the above error. Let us quickly see them in detail. 1) Reason for Error The reason for error is already given in the error. ORDER BY is invalid in the views and a few other objects. One has to use TOP or other keywords along with it. The way semantics of the query works where optimizer only follows(honors) the ORDER BY in the same scope or the same SELECT/UPDATE/DELETE statement. There is a possibility that one can order after the scope of the view again the efforts spend to order view will be wasted. The final resultset of the query always follows the final ORDER BY or outer query’s order and due to the same reason optimizer follows the final order of the query and not of the views (as view will be used in another query for further processing e.g. in SELECT statement). Due to same reason ORDER BY is now allowed in the view. For further accuracy and clear guidance I suggest you read this blog post by Query Optimizer Team. They have explained it very clear manner the same subject. 2) Reason for Auto Generated TOP (100) PERCENT One of the most popular workaround to above error is to use TOP (100) PERCENT in the view. Now TOP (100) PERCENT allows user to use ORDER BY in the query and allows user to overcome above error which we discussed. This gives the impression to the user that they have resolved the error and successfully able to use ORDER BY in the View. Well, this is incorrect as well. The way this works is when TOP (100) PERCENT is used the result is not guaranteed as well it is ignored in our the query where the view is used. Here is the blog post on this subject: Interesting Observation – TOP 100 PERCENT and ORDER BY. Now when you create a new view in the SSMS and build a query with ORDER BY to avoid the error automatically it adds the TOP 100 PERCENT. Here is the connect item for the same issue. I am sure there will be more connect items as well but I could not find them. 3) Potential Solutions If you are reading this post from the beginning in that case, it is clear by now that ORDER BY should not be used in the View as it does not serve any purpose unless there is a specific need of it. If you are going to use TOP 100 PERCENT with ORDER BY there is absolutely no need of using ORDER BY rather avoid using it all together. Here is another blog post of mine which describes the same subject ORDER BY Does Not Work – Limitation of the Views Part 1. It is valid to use ORDER BY in a view if there is a clear business need of using TOP with any other percentage lower than 100 (for example TOP 10 PERCENT or TOP 50 PERCENT etc). In most of the cases ORDER BY is not needed in the view and it should be used in the most outer query for present result in desired order. User can remove TOP 100 PERCENT and ORDER BY from the view before using the view in any query or procedure. In the most outer query there should be ORDER BY as per the business need. I think this sums up the concept in a few words. This is a very long topic and not easy to illustrate in one single blog post. I welcome your comments and suggestions. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, SQL View, T SQL, Technology

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• Please help me debug my SQL query.

  - by bob09

  I have a query: Select n_portions, dish_name from food_order, dish where n_portions= (select max (n_portions) FROM food_order); It's meant to return: fish pie 3 steak and chips 1 pasta bake 2 stuffed peppers 1 But i get: Pasta bake 35 Fish pie 35 Steak and chips 35 Stuffed peppers 35 Ham and rice 35 Lamb curry 35 Why is this happing? table data table data Insert into customer_order values ('00001', '03-Apr-09', '07-apr-09','St. Andrew St'); Insert into customer_order values ('00002', '05-Apr-09', '01-May-09', 'St. Andrew St'); Insert into customer_order values ('00003', '12-Apr-09', '27-Apr-09', 'Union St'); Insert into customer_order values ('00004', '12-Apr-09', '17-Apr-09', 'St. Andrew St'); Insert into Dish values ('D0001', 'Pasta bake', 'yes', '6.00'); Insert into Dish values ('D0002', 'Fish pie', 'no', '9.00'); Insert into Dish values ('D0003', 'Steak and chips', 'no', '14.00'); Insert into Dish values ('D0004', 'Stuffed peppers', 'yes', '11.50'); Insert into Dish values ('D0005', 'Ham and rice' , 'no', '7.25'); Insert into Dish values ('D0006', 'Lamb curry' , 'no', '8.50'); Insert into Drink values ('DR0001', 'Water', 'soft', '1.0'); Insert into Drink values ('DR0002', 'Coffee', 'hot', '1.70'); Insert into Drink values ('DR0003', 'Wine' , 'alcoholic', '3.00'); Insert into Drink values ('DR0004', 'Beer' , 'alcoholic', '2.30'); Insert into Drink values ('DR0005', 'Tea' , 'hot' , '1.50'); Insert into food_order values ('F000001', '000001', 'D0003', '6'); Insert into food_order values ('F000002', '000001', 'D0001', '4'); Insert into food_order values ('F000003', '000001', 'D0004', '3'); Insert into food_order values ('F000004', '000002', 'D0001', '10'); Insert into food_order values ('F000005', '000002', 'D0002', '10'); Insert into food_order values ('F000006', '000003', 'D0002', '35'); Insert into food_order values ('F000007', '000004', 'D0002', '23'); Insert into drink_order values ('D000001', '000001', 'DR0001', '13'); Insert into drink_order values ('D000002', '000001', 'DR0002', '13'); Insert into drink_order values ('D000003', '000001', 'DR0004', '13'); Insert into drink_order values ('D000004', '000002', 'DROOO1', '20'); Insert into drink_order values ('D000005', '000002', 'DR0003', '20'); Insert into drink_order values ('D000006', '000002', 'DR0004', '15'); Insert into drink_order values ('D000007', '000003', 'DR0002', '35'); Insert into drink_order values ('D000008', '000004', 'DR0001', '23'); Insert into drink_order values ('D000009', '000004', 'DR0003', '15'); Insert into drink_order values ('D0000010', '000004', 'DR0004', '15');

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• How to optimize this MySQL query

  - by James Simpson

  This query was working fine when the database was small, but now that there are millions of rows in the database, I am realizing I should have looked at optimizing this earlier. It is looking at over 600,000 rows and is Using where; Using temporary; Using filesort (which leads to an execution time of 5-10 seconds). It is using an index on the field 'battle_type.' SELECT username, SUM( outcome ) AS wins, COUNT( * ) - SUM( outcome ) AS losses FROM tblBattleHistory WHERE battle_type = '0' && outcome < '2' GROUP BY username ORDER BY wins DESC , losses ASC , username ASC LIMIT 0 , 50

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• SQL SERVER – Disable Clustered Index and Data Insert

  - by pinaldave

  Earlier today I received following email. “Dear Pinal, [Removed unrelated content] We looked at your script and found out that in your script of disabling indexes, you have only included non-clustered index during the bulk insert and missed to disabled all the clustered index. Our DBA[name removed] has changed your script a bit and included all the clustered indexes. Since our application is not working. When DBA [name removed] tried to enable clustered indexes again he is facing error incorrect syntax error. We are in deep problem [word replaced] [Removed Identity of organization and few unrelated stuff ]“ I have replied to my client and helped them fixed the problem. What really came to my attention is the concept of disabling clustered index. Let us try to learn a lesson from this experience. In this case, there was no need to disable clustered index at all. I had done necessary work when I was called in to work on tuning project. I had removed unused indexes, created few optimal indexes and wrote a script to disable few selected high cost indexes when bulk insert (and similar) operations are performed. There was another script which rebuild all the indexes as well. The solution worked till they included clustered index in disabling the script. Clustered indexes are in fact original table (or heap) physically ordered (any more things – not scope of this article) according to one or more keys(columns). When clustered index is disabled data rows of the disabled clustered index cannot be accessed. This means there will be no insert possible. When non clustered indexes are disabled all the data related to physically deleted but the definition of the index is kept in the system. Due to the same reason even reorganization of the index is not possible till the clustered index (which was disabled) is rebuild. Now let us come to the second part of the question, regarding receiving the error when clustered index is ‘enabled’. This is very common question I receive on the blog. (The following statement is written keeping the syntax of T-SQL in mind) Clustered indexes can be disabled but can not be enabled, they have to rebuild. It is intuitive to think that something which we have ‘disabled’ can be ‘enabled’ but the syntax for the same is ‘rebuild’. This issue has been explained here: SQL SERVER – How to Enable Index – How to Disable Index – Incorrect syntax near ‘ENABLE’. Let us go over this example where inserting the data is not possible when clustered index is disabled. USE AdventureWorks GO -- Create Table CREATE TABLE [dbo].[TableName]( [ID] [int] NOT NULL, [FirstCol] [varchar](50) NULL, CONSTRAINT [PK_TableName] PRIMARY KEY CLUSTERED ([ID] ASC) ) GO -- Create Nonclustered Index CREATE UNIQUE NONCLUSTERED INDEX [IX_NonClustered_TableName] ON [dbo].[TableName] ([FirstCol] ASC) GO -- Populate Table INSERT INTO [dbo].[TableName] SELECT 1, 'First' UNION ALL SELECT 2, 'Second' UNION ALL SELECT 3, 'Third' GO -- Disable Nonclustered Index ALTER INDEX [IX_NonClustered_TableName] ON [dbo].[TableName] DISABLE GO -- Insert Data should work fine INSERT INTO [dbo].[TableName] SELECT 4, 'Fourth' UNION ALL SELECT 5, 'Fifth' GO -- Disable Clustered Index ALTER INDEX [PK_TableName] ON [dbo].[TableName] DISABLE GO -- Insert Data will fail INSERT INTO [dbo].[TableName] SELECT 6, 'Sixth' UNION ALL SELECT 7, 'Seventh' GO /* Error: Msg 8655, Level 16, State 1, Line 1 The query processor is unable to produce a plan because the index 'PK_TableName' on table or view 'TableName' is disabled. */ -- Reorganizing Index will also throw an error ALTER INDEX [PK_TableName] ON [dbo].[TableName] REORGANIZE GO /* Error: Msg 1973, Level 16, State 1, Line 1 Cannot perform the specified operation on disabled index 'PK_TableName' on table 'dbo.TableName'. */ -- Rebuliding should work fine ALTER INDEX [PK_TableName] ON [dbo].[TableName] REBUILD GO -- Insert Data should work fine INSERT INTO [dbo].[TableName] SELECT 6, 'Sixth' UNION ALL SELECT 7, 'Seventh' GO -- Clean Up DROP TABLE [dbo].[TableName] GO I hope this example is clear enough. There were few additional posts I had written years ago, I am listing them here. SQL SERVER – Enable and Disable Index Non Clustered Indexes Using T-SQL SQL SERVER – Enabling Clustered and Non-Clustered Indexes – Interesting Fact Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Constraint and Keys, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Run MySQL INSERT Query multiple times (insert values into multiple tables)

  - by Derek

  Hi, basically, I have 3 tables; users and projects (which is a many-to-many relationship), then I have 'usersprojects' to allow the one-to-many formation. When a user adds a project, I need the project information stored and then the 'userid' and 'projectid' stored in the usersprojects table. It sounds like its really straight forward but I'm having problems with the syntax I think!? As it stands, I have this as my INSERT queries (values going into 2 different tables): $project_id = $_POST['project_id']; $projectname = $_POST['projectname']; $projectdeadline = $_POST['projectdeadline']; $projectdetails = $_POST['projectdetails']; $user_id = $_POST['user_id']; $sql = "INSERT INTO projects (projectid, projectname, projectdeadline, projectdetails) VALUES ('{$projectid}','{$projectname}','{$projectdeadline}','{$projectdetails}')"; $sql = "INSERT INTO usersprojects (userid, projectid) VALUES ('{$userid}','{$projectid}')"; None of the information is being stored in the projects table, but the user ID is being stored in the usersprojects table (but not project ID!?)... I did have it working where the project information is stored correctly with a project ID, before I added this bit: $sql = "INSERT INTO usersprojects (userid, projectid) VALUES ('{$userid}','{$projectid}')"; But before the code above was put in, obviously no info is being stored in usersprojects table. The source code that links the script: <form id="addform" name="addform" method="POST" action="addproject-run.php"> <label>Project Name:</label> <input name="projectname" size="40" id="projectname" value="<?php if (isset($_POST['projectname'])); ?>"/><br /> <input name="user_id" input type="hidden" size="40" id="user_id" value="<?php echo $_SESSION['SESS_USERID']; ?>"/> <label>Project Deadline:</label> <input name="projectdeadline" size="40" id="projectdeadline" value="In the format of 'YYYY-MM-DD'<?php if (isset($_POST['projectdeadline'])); ?>"/><br /> <label>Project Details:</label> <textarea rows="5" cols="20" name="projectdetails" id="projectdetails"><?php if (isset($_POST['projectdetails'])); ?></textarea> <br /> <br /> <input value="Create Project" class="addbtn" type="submit" /> </form></div> So I think I'm right in saying I have the syntax for the SQL statement to be run an insert query of values into 2 tables? Any help is much appreciated! Thanks.

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• Trouble with a query

  - by Mark Allison

  Hi there, I'm having trouble with a query in SQL Server 2008 on some forex trading data. I have a trades table and an orders table. A trade needs to comprise of 2 or more orders. DDL schema and sample data below. What I want to do is write a query that shows the profit/loss in pips for each trade. A pip is 1/1000th of a currency. So the difference between USD 1.3441 and 1.3442 is 1 pip in forex-speak. A trade usually has one entry order and multiple exit orders. So for example if I buy 3 lots of the currency pair GBP/USD at the exchange rate of 1.6100 and then sell 1 lot at 1.6150, 1 lot at 1.6200 and 1 lot at 1.6250 then the profit is (1.6150 - 1.6100) + (1.6200 - 1.6100) + (1.6250 - 1.6100), or 50 + 100 + 150 = 300 pips profit. The trade could also go the other way (Shorting). For example the currency pair can be sold first before it's bought back later at a cheaper price. I would like a query that returns the following: tradeId, currencyPair, profitInPips It seems like a pretty straightforward query, but it's eluding me right now. Here's my DDL and sample data: CREATE TABLE [dbo].[trades]( [tradeId] [int] IDENTITY(1,1) NOT NULL, [currencyPair] [char](6) NOT NULL, CONSTRAINT [PK_trades] PRIMARY KEY CLUSTERED ( [tradeId] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO SET ANSI_PADDING OFF GO SET IDENTITY_INSERT [dbo].[trades] ON INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (1, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (2, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (3, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (4, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (5, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (6, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (7, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (8, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (9, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (10, N'GBPUSD') SET IDENTITY_INSERT [dbo].[trades] OFF GO CREATE TABLE [dbo].[orders]( [orderId] [int] IDENTITY(1,1) NOT NULL, [tradeId] [int] NOT NULL, [amount] [decimal](18, 1) NOT NULL, [buySell] [char](1) NOT NULL, [rate] [decimal](18, 6) NOT NULL, [orderDateTime] [datetime] NOT NULL, CONSTRAINT [PK_orders] PRIMARY KEY CLUSTERED ( [orderId] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO SET ANSI_PADDING OFF GO SET IDENTITY_INSERT [dbo].[orders] ON INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (1, 1, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.606500 AS Decimal(18, 6)), CAST(0x00009CF40083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (2, 1, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.615500 AS Decimal(18, 6)), CAST(0x00009CF400A4CB80 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (3, 2, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.608000 AS Decimal(18, 6)), CAST(0x00009CF500000000 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (4, 2, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.603000 AS Decimal(18, 6)), CAST(0x00009CF50083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (5, 2, CAST(2.0 AS Decimal(18, 1)), N'B', CAST(1.605500 AS Decimal(18, 6)), CAST(0x00009CF50107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (6, 3, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.595500 AS Decimal(18, 6)), CAST(0x00009CF70083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (7, 3, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.590500 AS Decimal(18, 6)), CAST(0x00009CF700C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (8, 3, CAST(2.0 AS Decimal(18, 1)), N'B', CAST(1.594500 AS Decimal(18, 6)), CAST(0x00009CF701499700 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (9, 4, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.611000 AS Decimal(18, 6)), CAST(0x00009CFB0083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (10, 4, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.616000 AS Decimal(18, 6)), CAST(0x00009CFB00A4CB80 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (11, 4, CAST(2.0 AS Decimal(18, 1)), N'S', CAST(1.611500 AS Decimal(18, 6)), CAST(0x00009CFB0107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (12, 5, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.613000 AS Decimal(18, 6)), CAST(0x00009CFC0083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (13, 5, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.618000 AS Decimal(18, 6)), CAST(0x00009CFC0107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (14, 5, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.623000 AS Decimal(18, 6)), CAST(0x00009CFC0083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (15, 5, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.628000 AS Decimal(18, 6)), CAST(0x00009CFD00C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (16, 6, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.632000 AS Decimal(18, 6)), CAST(0x00009D020083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (17, 6, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.637000 AS Decimal(18, 6)), CAST(0x00009D0200A4CB80 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (18, 6, CAST(2.0 AS Decimal(18, 1)), N'S', CAST(1.630000 AS Decimal(18, 6)), CAST(0x00009D0200C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (19, 7, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.634500 AS Decimal(18, 6)), CAST(0x00009D0201499700 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (20, 7, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.639500 AS Decimal(18, 6)), CAST(0x00009D0300000000 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (21, 7, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.644500 AS Decimal(18, 6)), CAST(0x00009D030083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (22, 7, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.637500 AS Decimal(18, 6)), CAST(0x00009D0300C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (23, 8, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.625000 AS Decimal(18, 6)), CAST(0x00009D0400C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (24, 8, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.620000 AS Decimal(18, 6)), CAST(0x00009D050083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (25, 8, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.615000 AS Decimal(18, 6)), CAST(0x00009D0500A4CB80 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (26, 8, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.623000 AS Decimal(18, 6)), CAST(0x00009D050107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (27, 9, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.618000 AS Decimal(18, 6)), CAST(0x00009D0600C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (28, 9, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.613000 AS Decimal(18, 6)), CAST(0x00009D0600D63BC0 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (29, 9, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.608000 AS Decimal(18, 6)), CAST(0x00009D0600E6B680 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (30, 9, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.613300 AS Decimal(18, 6)), CAST(0x00009D0601391C40 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (31, 10, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.614500 AS Decimal(18, 6)), CAST(0x00009D090083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (32, 10, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.619500 AS Decimal(18, 6)), CAST(0x00009D090107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (33, 10, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.624500 AS Decimal(18, 6)), CAST(0x00009D0901499700 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (34, 10, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.619000 AS Decimal(18, 6)), CAST(0x00009D0A0083D600 AS DateTime)) SET IDENTITY_INSERT [dbo].[orders] OFF /****** Object: ForeignKey [FK_orders_trades] Script Date: 04/02/2010 15:05:31 ******/ ALTER TABLE [dbo].[orders] WITH CHECK ADD CONSTRAINT [FK_orders_trades] FOREIGN KEY([tradeId]) REFERENCES [dbo].[trades] ([tradeId]) GO ALTER TABLE [dbo].[orders] CHECK CONSTRAINT [FK_orders_trades] GO Thanks in advance for any help!

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• sqlite3 no insert is done after --> insert into --> SQLITE_DONE

  - by Fra

  Hi all, I'm trying to insert some data in a table using sqlite3 on an iphone... All the error codes I get from the various steps indicate that the operation should have been successful, but in fact, the table remains empty...I think I'm missing something... here the code: sqlite3 *database = nil; NSString *dbPath = [[[ NSBundle mainBundle ] resourcePath ] stringByAppendingPathComponent:@"placemarks.sql"]; if(sqlite3_open([dbPath UTF8String], &database) == SQLITE_OK){ sqlite3_stmt *insert_statement = nil; //where int pk, varchar name,varchar description, blob picture static char *sql = "INSERT INTO placemarks (pk, name, description, picture) VALUES(99,'nnnooooo','dddooooo', '');"; if (sqlite3_prepare_v2(database, sql, -1, &insert_statement, NULL) != SQLITE_OK) { NSAssert1(0, @"Error: failed to prepare statement with message '%s'.", sqlite3_errmsg(database)); } int success = sqlite3_step(insert_statement); int finalized = sqlite3_finalize(insert_statement); NSLog(@"success: %i finalized: %i",success, finalized); NSAssert1(101, @"Error: failed to insert into the database with message '%s'.", sqlite3_errmsg(database)); sqlit3_step returns 101, so SQLITE_DONE, which should be ok.. If I execute the sql statement in the command line it works properly... anyone has an idea? could it be that there's a problem in writing the placemarks.sql because it's in the resources folder? rgds Fra

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• SQL SERVER – Quiz and Video – Introduction to Basics of a Query Hint

  - by pinaldave

  This blog post is inspired from SQL Architecture Basics Joes 2 Pros: Core Architecture concepts – SQL Exam Prep Series 70-433 – Volume 3. [Amazon] | [Flipkart] | [Kindle] | [IndiaPlaza] This is follow up blog post of my earlier blog post on the same subject - SQL SERVER – Introduction to Basics of a Query Hint – A Primer. In the article we discussed various basics terminology of the query hints. The article further covers following important concepts of query hints. Expecting Seek and getting a Scan Creating an index for improved optimization Implementing the query hint Above three are the most important concepts related to query hint and SQL Server.  There are many more things one has to learn but without beginners fundamentals one can’t learn the advanced  concepts. Let us have small quiz and check how many of you get the fundamentals right. Quiz 1) You have the following query: DECLARE @UlaChoice TinyInt SET @Type = 1 SELECT * FROM LegalActivity WHERE UlaChoice = @UlaChoice You have a nonclustered index named IX_Legal_Ula on the UlaChoice field. The Primary key is on the ID field and called PK_Legal_ID 99% of the time the value of the @UlaChoice is set to ‘YP101′. What query will achieve the best optimization for this query? SELECT * FROM LegalActivity WHERE UlaChoice = @UlaChoice WITH(INDEX(X_Legal_Ula)) SELECT * FROM LegalActivity WHERE UlaChoice = @UlaChoice WITH(INDEX(PK_Legal_ID)) SELECT * FROM LegalActivity WHERE UlaChoice = @UlaChoice OPTION (Optimize FOR(@UlaChoice = ‘YP101′)) 2) You have the following query: SELECT * FROM CurrentProducts WHERE ShortName = ‘Yoga Trip’ You have a nonclustered index on the ShortName field and the query runs an efficient index seek. You change your query to use a variable for ShortName and now you are using a slow index scan. What query hint can you use to get the same execution time as before? WITH LOCK FAST OPTIMIZE FOR MAXDOP READONLY Now make sure that you write down all the answers on the piece of paper. Watch following video and read earlier article over here. If you want to change the answer you still have chance. Solution 1) 3 2) 4 Now compare let us check the answers and compare your answers to following answers. I am very confident you will get them correct. Available at USA: Amazon India: Flipkart | IndiaPlaza Volume: 1, 2, 3, 4, 5 Please leave your feedback in the comment area for the quiz and video. Did you know all the answers of the quiz? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Joes 2 Pros, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Different ways to query this search in SQL?

  - by Bart Terrell

  I am teaching myself MS-SQL and I am trying to find different ways to find the Count of Paid and Unpaid Claims for 2012 grouped by Region from these 3 tables. If there is a returned date, the claim is unpaid if the returned date is null then the claim is paid. I will attach the code I have ran, but I am not sure if there are better ways to do it. Thanks. Here is the code: SET dateformat ymd; CREATE TABLE Claims ( ClaimID INT, SubID INT, [Claim Date] DATETIME ); CREATE TABLE Phoneship ( ClaimID INT, [Shipping Number] INT, [Claim Date] DATETIME, [Ship Date] DATETIME, [Returned Date] DATETIME ); CREATE TABLE Enrollment ( SubID INT, Enrollment_Date DATETIME, Channel NVARCHAR(255), Region NVARCHAR(255), Status FLOAT, Drop_Date DATETIME ); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (102, 201, '2011-10-13 00:00:00', '2011-10-14 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (103, 202, '2011-11-02 00:00:00', '2011-11-03 00:00:00', '2011-11-20 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (103, 203, '2011-11-02 00:00:00', '2011-11-22 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (105, 204, '2012-01-16 00:00:00', '2012-01-17 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (106, 205, '2012-02-15 00:00:00', '2012-02-16 00:00:00', '2012-02-26 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (106, 206, '2012-02-15 00:00:00', '2012-02-27 00:00:00', '2012-03-06 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (107, 207, '2012-03-12 00:00:00', '2012-03-13 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (108, 208, '2012-05-11 00:00:00', '2012-05-12 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (109, 209, '2012-05-13 00:00:00', '2012-05-14 00:00:00', '2012-05-28 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (109, 210, '2012-05-13 00:00:00', '2012-05-30 00:00:00', NULL); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (101, 12345678, '2011-03-06 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (102, 12347190, '2011-10-13 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (103, 12348723, '2011-11-02 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (104, 12349745, '2011-11-09 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (105, 12347190, '2012-01-16 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (106, 12349234, '2012-02-15 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (107, 12350767, '2012-03-12 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (108, 12350256, '2012-05-11 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (109, 12347701, '2012-05-13 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (110, 12350256, '2012-05-15 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (111, 12350767, '2012-06-30 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12345678, '2011-01-05 00:00:00', 'Retail', 'Southeast', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12346178, '2011-03-13 00:00:00', 'Indirect Dealers', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12346679, '2011-05-19 00:00:00', 'Indirect Dealers', 'Southeast', 0, '2012-03-15 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12347190, '2011-07-25 00:00:00', 'Retail', 'Northeast', 0, '2012-05-21 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12347701, '2011-08-14 00:00:00', 'Indirect Dealers', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12348212, '2011-09-30 00:00:00', 'Retail', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12348723, '2011-10-20 00:00:00', 'Retail', 'Southeast', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12349234, '2012-01-06 00:00:00', 'Indirect Dealers', 'West', 0, '2012-02-14 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12349745, '2012-01-26 00:00:00', 'Retail', 'Northeast', 0, '2012-04-15 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12350256, '2012-02-11 00:00:00', 'Retail', 'Southeast', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12350767, '2012-03-02 00:00:00', 'Indirect Dealers', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12351278, '2012-04-18 00:00:00', 'Retail', 'Midwest', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12351789, '2012-05-08 00:00:00', 'Indirect Dealers', 'West', 0, '2012-07-04 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12352300, '2012-06-24 00:00:00', 'Retail', 'Midwest', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12352811, '2012-06-25 00:00:00', 'Retail', 'Southeast', 1, NULL); And Query1 SELECT Count(ClaimID) AS 'Paid Claim', (SELECT Count(ClaimID) FROM dbo.phoneship WHERE [returned date] IS NOT NULL) AS 'Unpaid Claim' FROM dbo.Phoneship WHERE [Returned Date] IS NULL GROUP BY claimid Query2 SELECT Count(*) AS 'Paid Claims', (SELECT Count(*) FROM dbo.Phoneship WHERE [Returned Date] IS NOT NULL) AS 'Unpaid Claims' FROM dbo.Phoneship WHERE [Returned Date] IS NULL; Query3 Select Distinct(C.[Shipping Number]), Count(C.ClaimID) AS 'COUNT ClaimID', A.Region, A.SubID From dbo.HSEnrollment A Inner Join dbo.Claims B On A.SubId = B.SubId Inner Join dbo.Phoneship C On B.ClaimID = C.ClaimID Where C.[Returned Date] IS NULL Group By A.Region, A.Subid, C.ClaimID, C.[Shipping Number] Order By A.Region

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• SQL SERVER – Discard Results After Query Execution – SSMS

  - by pinaldave

  The first thing I do any day is to turn on the computer. Today I woke up and as soon as I turned on the computer I saw a chat message from a friend. He was a bit confused and wanted me to help him. Just as usual I am keeping the relevant conversation in focus and documenting our conversation as chat. Let us call him Ajit. Ajit: Pinal, every time I run a query there is no result displayed in the SSMS but when I run the query in my application it works and returns an appropriate result. Pinal:  Have you tried with different parameters? Ajit: Same thing. However, it works from another computer when I connect to the same server with the same query parameters? Pinal: What? That is new and I believe it is something to do with SSMS and not with the server. Send me screenshot please. Ajit: I believe so, let me send you a screenshot, Pinal: (looking at the screenshot) Oh man, there is no result-tab at all. Ajit: That is what the problem is. It does not have the tab which displays the result. This works just fine from another computer. Pinal: Have you referred Nakul’s blog post – SSMS – Query result options – Discard result after query executes, that talks about setting which can discard the query results after execution. (After a while) Ajit: I think it seems like on the computer where I am running the query my SSMS seems to have the option enabled related to discarding results. I fixed it by following Nakul’s blog post. Pinal: Great! Quite often I get the question what is the importance of the feature. Let us first see how to turn on or turn off this feature in SQL Server Management Studio 2012. In SSMS 2012 go to Tools >> Options >> Query Results > SQL Server >> Results to Grid >> Discard Results After Query Execution. When enabled this option will discard results after the execution. The advantage of disabling the option is that it will improve the performance by using less memory. However the real question is why would someone enable or disable the option. What are the cases when someone wants to run the query but do not care about the result? Matter of the fact, it does not make sense at all to run query and not care about the result. The matter of the fact, I can see quite a few reasons for using this option. I often enable this option when I am doing performance tuning exercise. During performance tuning exercise when I am working with execution plans and do not need results to verify every time or when I am tuning Indexes and its effect on execution plan I do not need the results. In this kind of situations I do keep this option on and discard the results. It always helps me big time as in most of the performance tuning exercise I am dealing with huge amount of the data and dealing with this data can be expensive. Nakul’s has done the experiment here already but I am going to repeat the same again using AdventureWorks Database. Run following T-SQL Script with and without enabling the option to discard the results. USE AdventureWorks2012 GO SELECT * FROM Sales.SalesOrderDetail GO 10 After enabling Discard Results After Query Execution After disabling Discard Results After Query Execution Well, this is indeed a good option when someone is debugging the execution plan or does not want the result to be displayed. Please note that this option does not reduce IO or CPU usage for SQL Server. It just discards the results after execution and a good help for debugging on the development server. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology

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• Can't get SubSonic insert to work

  - by Darkwater23

  I'm trying to insert a record into a table without using the SubSonic object in a VB.Net Windows app. (It will take too long to explain why.) Dim q As New SubSonic.Query("tablename") q.QueryType = SubSonic.QueryType.Insert q.AddUpdateSetting("Description", txtDescription.Text) q.Execute() This just updates all the rows in the table. I read in one post that instead of AddUpdateSetting, I should use AddWhere, but that didn't make any sense to me. I don't need a where clause at all. Searching for all:QueryType.Insert at subsonicproject.com didn't return anything (which I thought was weird). Can anyone tell me how to fix this query? Thanks!

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• MySQL INSERT with table alias

  - by Max Kielland

  Hello, I happen to have two columns having the same name as two SQL reserved words, Key and Value. When using the SELECT statement I can create a table alias and solve it that way. Now I'm trying to INSERT data and it seems like you can't create table alias in the INSERT statement. INSERT INTO attributeStrings ats (ats.ItemID,ats.Key,ats.Value) VALUES (3,'Categories','TechGUI') I get error at 'ats (ats.ItemID,ats.Key,ats.Value) VALUES (3,'Categories','TechGUI')' indicating that alias can't be created. Are there any ways to solve this without renaming the columns Key and Value?

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