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  • Some date math fun

    - by drsql
    Note: This concept presented is pretty simple and I am not claiming that I am the first to do this… so if you were the one who came up with this, let me know and I will give you linkage Today I was needing to get the data for the current month for a query, and it hit me that I really didn’t have a good way to do this.  There were two common methods that people use: WHERE YEAR(MonthColumn) = YEAR(Getdate()) AND MONTH(MonthColumn) = MONTH(Getdate()) But this particular method is pretty horrible...(read more)

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  • The internal storage of a SMALLDATETIME value

    - by Peter Larsson
    SELECT  [Now],         BinaryFormat,         SUBSTRING(BinaryFormat, 1, 2) AS DayPart,         SUBSTRING(BinaryFormat, 3, 2) AS TimePart,         CAST(SUBSTRING(BinaryFormat, 1, 2) AS INT) AS [Days],         DATEADD(DAY, CAST(SUBSTRING(BinaryFormat, 1, 2) AS INT), 0) AS [Today],         SUBSTRING(BinaryFormat, 3, 2) AS [Ticks],         DATEADD(MINUTE, CAST(SUBSTRING(BinaryFormat, 3, 2) AS SMALLINT), 0) AS Peso FROM    (             SELECT  CAST(GETDATE() AS SMALLDATETIME) AS [Now],                     CAST(CAST(GETDATE() AS SMALLDATETIME) AS BINARY(4)) AS BinaryFormat         ) AS d

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  • The internal storage of a DATETIME value

    - by Peter Larsson
    SELECT  [Now],         BinaryFormat,         SUBSTRING(BinaryFormat, 1, 4) AS DayPart,         SUBSTRING(BinaryFormat, 5, 4) AS TimePart,         CAST(SUBSTRING(BinaryFormat, 1, 4) AS INT) AS [Days],         DATEADD(DAY, CAST(SUBSTRING(BinaryFormat, 1, 4) AS INT), 0) AS [Today],         CAST(SUBSTRING(BinaryFormat, 5, 4) AS INT) AS [Ticks],         DATEADD(MILLISECOND, 1000.E / 300.E * CAST(SUBSTRING(BinaryFormat, 5, 4) AS INT), 0) AS Peso FROM    (             SELECT  GETDATE() AS [Now],                     CAST(GETDATE() AS BINARY(8)) AS BinaryFormat         ) AS d

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  • Adding Column to a SQL Server Table

    - by Dinesh Asanka
    Adding a column to a table is  common task for  DBAs. You can add a column to a table which is a nullable column or which has default values. But are these two operations are similar internally and which method is optimal? Let us start this with an example. I created a database and a table using following script: USE master Go --Drop Database if exists IF EXISTS (SELECT 1 FROM SYS.databases WHERE name = 'AddColumn') DROP DATABASE AddColumn --Create the database CREATE DATABASE AddColumn GO USE AddColumn GO --Drop the table if exists IF EXISTS ( SELECT 1 FROM sys.tables WHERE Name = 'ExistingTable') DROP TABLE ExistingTable GO --Create the table CREATE TABLE ExistingTable (ID BIGINT IDENTITY(1,1) PRIMARY KEY CLUSTERED, DateTime1 DATETIME DEFAULT GETDATE(), DateTime2 DATETIME DEFAULT GETDATE(), DateTime3 DATETIME DEFAULT GETDATE(), DateTime4 DATETIME DEFAULT GETDATE(), Gendar CHAR(1) DEFAULT 'M', STATUS1 CHAR(1) DEFAULT 'Y' ) GO -- Insert 100,000 records with defaults records INSERT INTO ExistingTable DEFAULT VALUES GO 100000 Before adding a Column Before adding a column let us look at some of the details of the database. DBCC IND (AddColumn,ExistingTable,1) By running the above query, you will see 637 pages for the created table. Adding a Column You can add a column to the table with following statement. ALTER TABLE ExistingTable Add NewColumn INT NULL Above will add a column with a null value for the existing records. Alternatively you could add a column with default values. ALTER TABLE ExistingTable Add NewColumn INT NOT NULL DEFAULT 1 The above statement will add a column with a 1 value to the existing records. In the below table I measured the performance difference between above two statements. Parameter Nullable Column Default Value CPU 31 702 Duration 129 ms 6653 ms Reads 38 116,397 Writes 6 1329 Row Count 0 100000 If you look at the RowCount parameter, you can clearly see the difference. Though column is added in the first case, none of the rows are affected while in the second case all the rows are updated. That is the reason, why it has taken more duration and CPU to add column with Default value. We can verify this by several methods. Number of Pages The number of data pages can be obtained by using DBCC IND command. Though, this an undocumented dbcc command, many experts are ok to use this command in production. However, since there is no official word from Microsoft, use this “at your own risk”. DBCC IND (AddColumn,ExistingTable,1) Before Adding the Columns 637 Adding a Column with NULL 637 Adding a column with DEFAULT value 1270 This clearly shows that pages are physically modified. Please note, a high value indicated in the Adding a column with DEFAULT value  column is also a result of page splits. Continues…

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  • How can I resolve Hibernate 3's ConstraintViolationException when updating a Persistent Entity's Col

    - by Tim Visher
    I'm trying to discover why two nearly identical class sets are behaving different from Hibernate 3's perspective. I'm fairly new to Hibernate in general and I'm hoping I'm missing something fairly obvious about the mappings or timing issues or something along those lines but I spent the whole day yesterday staring at the two sets and any differences that would lead to one being able to be persisted and the other not completely escaped me. I appologize in advance for the length of this question but it all hinges around some pretty specific implementation details. I have the following class mapped with Annotations and managed by Hibernate 3.? (if the specific specific version turns out to be pertinent, I'll figure out what it is). Java version is 1.6. ... @Embeddable public class JobStateChange implements Comparable<JobStateChange> { @Temporal(TemporalType.TIMESTAMP) @Column(nullable = false) private Date date; @Enumerated(EnumType.STRING) @Column(nullable = false, length = JobState.FIELD_LENGTH) private JobState state; @ManyToOne(fetch = FetchType.LAZY) @JoinColumn(name = "acting_user_id", nullable = false) private User actingUser; public JobStateChange() { } @Override public int compareTo(final JobStateChange o) { return this.date.compareTo(o.date); } @Override public boolean equals(final Object obj) { if (this == obj) { return true; } else if (!(obj instanceof JobStateChange)) { return false; } JobStateChange candidate = (JobStateChange) obj; return this.state == candidate.state && this.actingUser.equals(candidate.getUser()) && this.date.equals(candidate.getDate()); } @Override public int hashCode() { return this.state.hashCode() + this.actingUser.hashCode() + this.date.hashCode(); } } It is mapped as a Hibernate CollectionOfElements in the class Job as follows: ... @Entity @Table( name = "job", uniqueConstraints = { @UniqueConstraint( columnNames = { "agency", //Job Name "payment_type", //Job Name "payment_file", //Job Name "date_of_payment", "payment_control_number", "truck_number" }) }) public class Job implements Serializable { private static final long serialVersionUID = -1131729422634638834L; ... @org.hibernate.annotations.CollectionOfElements @JoinTable(name = "job_state", joinColumns = @JoinColumn(name = "job_id")) @Sort(type = SortType.NATURAL) private final SortedSet<JobStateChange> stateChanges = new TreeSet<JobStateChange>(); ... public void advanceState( final User actor, final Date date) { JobState nextState; LOGGER.debug("Current state of {} is {}.", this, this.getCurrentState()); if (null == this.currentState) { nextState = JobState.BEGINNING; } else { if (!this.isAdvanceable()) { throw new IllegalAdvancementException(this.currentState.illegalAdvancementStateMessage); } if (this.currentState.isDivergent()) { nextState = this.currentState.getNextState(this); } else { nextState = this.currentState.getNextState(); } } JobStateChange stateChange = new JobStateChange(nextState, actor, date); this.setCurrentState(stateChange.getState()); this.stateChanges.add(stateChange); LOGGER.debug("Advanced {} to {}", this, this.getCurrentState()); } private void setCurrentState(final JobState jobState) { this.currentState = jobState; } boolean isAdvanceable() { return this.getCurrentState().isAdvanceable(this); } ... @Override public boolean equals(final Object obj) { if (obj == this) { return true; } else if (!(obj instanceof Job)) { return false; } Job otherJob = (Job) obj; return this.getName().equals(otherJob.getName()) && this.getDateOfPayment().equals(otherJob.getDateOfPayment()) && this.getPaymentControlNumber().equals(otherJob.getPaymentControlNumber()) && this.getTruckNumber().equals(otherJob.getTruckNumber()); } @Override public int hashCode() { return this.getName().hashCode() + this.getDateOfPayment().hashCode() + this.getPaymentControlNumber().hashCode() + this.getTruckNumber().hashCode(); } ... } The purpose of JobStateChange is to record when the Job moves through a series of State Changes that are outline in JobState as enums which know about advancement and decrement rules. The interface used to advance Jobs through a series of states is to call Job.advanceState() with a Date and a User. If the Job is advanceable according to rules coded in the enum, then a new StateChange is added to the SortedSet and everyone's happy. If not, an IllegalAdvancementException is thrown. The DDL this generates is as follows: ... drop table job; drop table job_state; ... create table job ( id bigint generated by default as identity, current_state varchar(25), date_of_payment date not null, beginningCheckNumber varchar(8) not null, item_count integer, agency varchar(10) not null, payment_file varchar(25) not null, payment_type varchar(25) not null, endingCheckNumber varchar(8) not null, payment_control_number varchar(4) not null, truck_number varchar(255) not null, wrapping_system_type varchar(15) not null, printer_id bigint, primary key (id), unique (agency, payment_type, payment_file, date_of_payment, payment_control_number, truck_number) ); create table job_state ( job_id bigint not null, acting_user_id bigint not null, date timestamp not null, state varchar(25) not null, primary key (job_id, acting_user_id, date, state) ); ... alter table job add constraint FK19BBD12FB9D70 foreign key (printer_id) references printer; alter table job_state add constraint FK57C2418FED1F0D21 foreign key (acting_user_id) references app_user; alter table job_state add constraint FK57C2418FABE090B3 foreign key (job_id) references job; ... The database is seeded with the following data prior to running tests ... insert into job (id, agency, payment_type, payment_file, payment_control_number, date_of_payment, beginningCheckNumber, endingCheckNumber, item_count, current_state, printer_id, wrapping_system_type, truck_number) values (-3, 'RRB', 'Monthly', 'Monthly','4501','1998-12-01 08:31:16' , '00000001','00040000', 40000, 'UNASSIGNED', null, 'KERN', '02'); insert into job_state (job_id, acting_user_id, date, state) values (-3, -1, '1998-11-30 08:31:17', 'UNASSIGNED'); ... After the database schema is automatically generated and rebuilt by the Hibernate tool. The following test runs fine up until the call to Session.flush() ... @ContextConfiguration(locations = { "/applicationContext-data.xml", "/applicationContext-service.xml" }) public class JobDaoIntegrationTest extends AbstractTransactionalJUnit4SpringContextTests { @Autowired private JobDao jobDao; @Autowired private SessionFactory sessionFactory; @Autowired private UserService userService; @Autowired private PrinterService printerService; ... @Test public void saveJob_JobAdvancedToAssigned_AllExpectedStateChanges() { //Get an unassigned Job Job job = this.jobDao.getJob(-3L); assertEquals(JobState.UNASSIGNED, job.getCurrentState()); Date advancedToUnassigned = new GregorianCalendar(1998, 10, 30, 8, 31, 17).getTime(); assertEquals(advancedToUnassigned, job.getStateChange(JobState.UNASSIGNED).getDate()); //Satisfy advancement constraints and advance job.setPrinter(this.printerService.getPrinter(-1L)); Date advancedToAssigned = new Date(); job.advanceState( this.userService.getUserByUsername("admin"), advancedToAssigned); assertEquals(JobState.ASSIGNED, job.getCurrentState()); assertEquals(advancedToUnassigned, job.getStateChange(JobState.UNASSIGNED).getDate()); assertEquals(advancedToAssigned, job.getStateChange(JobState.ASSIGNED).getDate()); //Persist to DB this.sessionFactory.getCurrentSession().flush(); ... } ... } The error thrown is SQLCODE=-803, SQLSTATE=23505: could not insert collection rows: [jaci.model.job.Job.stateChanges#-3] org.hibernate.exception.ConstraintViolationException: could not insert collection rows: [jaci.model.job.Job.stateChanges#-3] at org.hibernate.exception.SQLStateConverter.convert(SQLStateConverter.java:94) at org.hibernate.exception.JDBCExceptionHelper.convert(JDBCExceptionHelper.java:66) at org.hibernate.persister.collection.AbstractCollectionPersister.insertRows(AbstractCollectionPersister.java:1416) at org.hibernate.action.CollectionUpdateAction.execute(CollectionUpdateAction.java:86) at org.hibernate.engine.ActionQueue.execute(ActionQueue.java:279) at org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:263) at org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:170) at org.hibernate.event.def.AbstractFlushingEventListener.performExecutions(AbstractFlushingEventListener.java:321) at org.hibernate.event.def.DefaultFlushEventListener.onFlush(DefaultFlushEventListener.java:50) at org.hibernate.impl.SessionImpl.flush(SessionImpl.java:1027) at jaci.dao.JobDaoIntegrationTest.saveJob_JobAdvancedToAssigned_AllExpectedStateChanges(JobDaoIntegrationTest.java:98) at org.springframework.test.context.junit4.SpringTestMethod.invoke(SpringTestMethod.java:160) at org.springframework.test.context.junit4.SpringMethodRoadie.runTestMethod(SpringMethodRoadie.java:233) at org.springframework.test.context.junit4.SpringMethodRoadie$RunBeforesThenTestThenAfters.run(SpringMethodRoadie.java:333) at org.springframework.test.context.junit4.SpringMethodRoadie.runWithRepetitions(SpringMethodRoadie.java:217) at org.springframework.test.context.junit4.SpringMethodRoadie.runTest(SpringMethodRoadie.java:197) at org.springframework.test.context.junit4.SpringMethodRoadie.run(SpringMethodRoadie.java:143) at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.invokeTestMethod(SpringJUnit4ClassRunner.java:160) at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:97) Caused by: com.ibm.db2.jcc.b.lm: DB2 SQL Error: SQLCODE=-803, SQLSTATE=23505, SQLERRMC=1;ACI_APP.JOB_STATE, DRIVER=3.50.152 at com.ibm.db2.jcc.b.wc.a(wc.java:575) at com.ibm.db2.jcc.b.wc.a(wc.java:57) at com.ibm.db2.jcc.b.wc.a(wc.java:126) at com.ibm.db2.jcc.b.tk.b(tk.java:1593) at com.ibm.db2.jcc.b.tk.c(tk.java:1576) at com.ibm.db2.jcc.t4.db.k(db.java:353) at com.ibm.db2.jcc.t4.db.a(db.java:59) at com.ibm.db2.jcc.t4.t.a(t.java:50) at com.ibm.db2.jcc.t4.tb.b(tb.java:200) at com.ibm.db2.jcc.b.uk.Gb(uk.java:2355) at com.ibm.db2.jcc.b.uk.e(uk.java:3129) at com.ibm.db2.jcc.b.uk.zb(uk.java:568) at com.ibm.db2.jcc.b.uk.executeUpdate(uk.java:551) at org.hibernate.jdbc.NonBatchingBatcher.addToBatch(NonBatchingBatcher.java:46) at org.hibernate.persister.collection.AbstractCollectionPersister.insertRows(AbstractCollectionPersister.java:1389) Therein lies my problem… A nearly identical Class set (in fact, so identical that I've been chomping at the bit to make it a single class that serves both business entities) runs absolutely fine. It is identical except for name. Instead of Job it's Web. Instead of JobStateChange it's WebStateChange. Instead of JobState it's WebState. Both Job and Web's SortedSet of StateChanges are mapped as a Hibernate CollectionOfElements. Both are @Embeddable. Both are SortType.Natural. Both are backed by an Enumeration with some advancement rules in it. And yet when a nearly identical test is run for Web, no issue is discovered and the data flushes fine. For the sake of brevity I won't include all of the Web classes here, but I will include the test and if anyone wants to see the actual sources, I'll include them (just leave a comment). The data seed: insert into web (id, stock_type, pallet, pallet_id, date_received, first_icn, last_icn, shipment_id, current_state) values (-1, 'PF', '0011', 'A', '2008-12-31 08:30:02', '000000001', '000080000', -1, 'UNSTAGED'); insert into web_state (web_id, date, state, acting_user_id) values (-1, '2008-12-31 08:30:03', 'UNSTAGED', -1); The test: ... @ContextConfiguration(locations = { "/applicationContext-data.xml", "/applicationContext-service.xml" }) public class WebDaoIntegrationTest extends AbstractTransactionalJUnit4SpringContextTests { @Autowired private WebDao webDao; @Autowired private UserService userService; @Autowired private SessionFactory sessionFactory; ... @Test public void saveWeb_WebAdvancedToNewState_AllExpectedStateChanges() { Web web = this.webDao.getWeb(-1L); Date advancedToUnstaged = new GregorianCalendar(2008, 11, 31, 8, 30, 3).getTime(); assertEquals(WebState.UNSTAGED, web.getCurrentState()); assertEquals(advancedToUnstaged, web.getState(WebState.UNSTAGED).getDate()); Date advancedToStaged = new Date(); web.advanceState( this.userService.getUserByUsername("admin"), advancedToStaged); this.sessionFactory.getCurrentSession().flush(); web = this.webDao.getWeb(web.getId()); assertEquals( "Web should have moved to STAGED State.", WebState.STAGED, web.getCurrentState()); assertEquals(advancedToUnstaged, web.getState(WebState.UNSTAGED).getDate()); assertEquals(advancedToStaged, web.getState(WebState.STAGED).getDate()); assertNotNull(web.getState(WebState.UNSTAGED)); assertNotNull(web.getState(WebState.STAGED)); } ... } As you can see, I assert that the Web was reconstituted the way I expect, I advance it, flush it to the DB, and then re-get it and verify that the states are as I expect. Everything works perfectly. Not so with Job. A possibly pertinent detail: the reconstitution code works fine if I cease to map JobStateChange.data as a TIMESTAMP and instead as a DATE, and ensure that all of the StateChanges always occur on different Dates. The problem is that this particular business entity can go through many state changes in a single day and so it needs to be sorted by time stamp rather than by date. If I don't do this then I can't sort the StateChanges correctly. That being said, WebStateChange.date is also mapped as a TIMESTAMP and so I again remain absolutely befuddled as to where this error is arising from. I tried to do a fairly thorough job of giving all of the technical details of the implementation but as this particular question is very implementation specific, if I missed anything just let me know in the comments and I'll include it. Thanks so much for your help! UPDATE: Since it turns out to be important to the solution of my problem, I have to include the pertinent bits of the WebStateChange class as well. ... @Embeddable public class WebStateChange implements Comparable<WebStateChange> { @Temporal(TemporalType.TIMESTAMP) @Column(nullable = false) private Date date; @Enumerated(EnumType.STRING) @Column(nullable = false, length = WebState.FIELD_LENGTH) private WebState state; @ManyToOne(fetch = FetchType.LAZY) @JoinColumn(name = "acting_user_id", nullable = false) private User actingUser; ... WebStateChange( final WebState state, final User actingUser, final Date date) { ExceptionUtils.illegalNullArgs(state, actingUser, date); this.state = state; this.actingUser = actingUser; this.date = new Date(date.getTime()); } @Override public int compareTo(final WebStateChange otherStateChange) { return this.date.compareTo(otherStateChange.date); } @Override public boolean equals(final Object candidate) { if (this == candidate) { return true; } else if (!(candidate instanceof WebStateChange)) { return false; } WebStateChange candidateWebState = (WebStateChange) candidate; return this.getState() == candidateWebState.getState() && this.getUser().equals(candidateWebState.getUser()) && this.getDate().equals(candidateWebState.getDate()); } @Override public int hashCode() { return this.getState().hashCode() + this.getUser().hashCode() + this.getDate().hashCode(); } ... }

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  • SQL SERVER – SmallDateTime and Precision – A Continuous Confusion

    - by pinaldave
    Some kinds of confusion never go away. Here is one of the ancient confusing things in SQL. The precision of the SmallDateTime is one concept that confuses a lot of people, proven by the many messages I receive everyday relating to this subject. Let me start with the question: What is the precision of the SMALLDATETIME datatypes? What is your answer? Write it down on your notepad. Now if you do not want to continue reading the blog post, head to my previous blog post over here: SQL SERVER – Precision of SMALLDATETIME. A Social Media Question Since the increase of social media conversations, I noticed that the amount of the comments I receive on this blog is a bit staggering. I receive lots of questions on facebook, twitter or Google+. One of the very interesting questions yesterday was asked on Facebook by Raghavendra. I am re-organizing his script and asking all of the questions he has asked me. Let us see if we could help him with his question: CREATE TABLE #temp (name VARCHAR(100),registered smalldatetime) GO DECLARE @test smalldatetime SET @test=GETDATE() INSERT INTO #temp VALUES ('Value1',@test) INSERT INTO #temp VALUES ('Value2',@test) GO SELECT * FROM #temp ORDER BY registered DESC GO DROP TABLE #temp GO Now when the above script is ran, we will get the following result: Well, the expectation of the query was to have the following result. The row which was inserted last was expected to return as first row in result set as the ORDER BY descending. Side note: Because the requirement is to get the latest data, we can’t use any  column other than smalldatetime column in order by. If we use name column in the order by, we will get an incorrect result as it can be any name. My Initial Reaction My initial reaction was as follows: 1) DataType DateTime2: If file precision of the column is expected from the column which store date and time, it should not be smalldatetime. The precision of the column smalldatetime is One Minute (Read Here) for finer precision use DateTime or DateTime2 data type. Here is the code which includes above suggestion: CREATE TABLE #temp (name VARCHAR(100), registered datetime2) GO DECLARE @test datetime2 SET @test=GETDATE() INSERT INTO #temp VALUES ('Value1',@test) INSERT INTO #temp VALUES ('Value2',@test) GO SELECT * FROM #temp ORDER BY registered DESC GO DROP TABLE #temp GO 2) Tie Breaker Identity: There are always possibilities that two rows were inserted at the same time. In that case, you may need a tie breaker. If you have an increasing identity column, you can use that as a tie breaker as well. CREATE TABLE #temp (ID INT IDENTITY(1,1), name VARCHAR(100),registered datetime2) GO DECLARE @test datetime2 SET @test=GETDATE() INSERT INTO #temp VALUES ('Value1',@test) INSERT INTO #temp VALUES ('Value2',@test) GO SELECT * FROM #temp ORDER BY ID DESC GO DROP TABLE #temp GO Those two were the quick suggestions I provided. It is not necessary that you should use both advices. It is possible that one can use only DATETIME datatype or Identity column can have datatype of BIGINT or have another tie breaker. An Alternate NO Solution In the facebook thread this was also discussed as one of the solutions: CREATE TABLE #temp (name VARCHAR(100),registered smalldatetime) GO DECLARE @test smalldatetime SET @test=GETDATE() INSERT INTO #temp VALUES ('Value1',@test) INSERT INTO #temp VALUES ('Value2',@test) GO SELECT name, registered, ROW_NUMBER() OVER(ORDER BY registered DESC) AS "Row Number" FROM #temp ORDER BY 3 DESC GO DROP TABLE #temp GO However, I believe it is not the solution and can be further misleading if used in a production server. Here is the example of why it is not a good solution: CREATE TABLE #temp (name VARCHAR(100) NOT NULL,registered smalldatetime) GO DECLARE @test smalldatetime SET @test=GETDATE() INSERT INTO #temp VALUES ('Value1',@test) INSERT INTO #temp VALUES ('Value2',@test) GO -- Before Index SELECT name, registered, ROW_NUMBER() OVER(ORDER BY registered DESC) AS "Row Number" FROM #temp ORDER BY 3 DESC GO -- Create Index ALTER TABLE #temp ADD CONSTRAINT [PK_#temp] PRIMARY KEY CLUSTERED (name DESC) GO -- After Index SELECT name, registered, ROW_NUMBER() OVER(ORDER BY registered DESC) AS "Row Number" FROM #temp ORDER BY 3 DESC GO DROP TABLE #temp GO Now let us examine the resultset. You will notice that an index which is created on the base table which is (indeed) schema change the table but can affect the resultset. As you can see, an index can change the resultset, so this method is not yet perfect to get the latest inserted resultset. No Schema Change Requirement After giving these two suggestions, I was waiting for the feedback of the asker. However, the requirement of the asker was there can’t be any schema change because the application was used by many other applications. I validated again, and of course, the requirement is no schema change at all. No addition of the column of change of datatypes of any other columns. There is no further help as well. This is indeed an interesting question. I personally can’t think of any solution which I could provide him given the requirement of no schema change. Can you think of any other solution to this? Need of Database Designer This question once again brings up another ancient question:  “Do we need a database designer?” I often come across databases which are facing major performance problems or have redundant data. Normalization is often ignored when a database is built fast under a very tight deadline. Often I come across a database which has table with unnecessary columns and performance problems. While working as Developer Lead in my earlier jobs, I have seen developers adding columns to tables without anybody’s consent and retrieving them as SELECT *.  There is a lot to discuss on this subject in detail, but for now, let’s discuss the question first. Do you have any suggestions for the above question? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: CodeProject, Developer Training, PostADay, SQL, SQL Authority, SQL DateTime, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • SQL Select - adding field to Select is changing the results

    - by nycdan
    I'm stumped by this SQL problem that I suspect will be easy pickings for someone out there. I have a table that contains rows representing several daily lists of ranked items. The relevent fields are as follows: ID, ListID, ItemID, ItemName, ItemRank, Date. I have a query that returns the items that were on a list yesterday but not today (Items Off List) as follows: Select ItemID, ListID, ItemName, convert(varchar(10),MAX(date),101) as date, COUNT(ItemName) as days_on_list From Table Group By ItemID, ListID, ItemName Having Max(date) = DATEADD("d",-1,convert(varchar(10),getdate(),101)) and ListID = 1 Order By ListID, ItemName, COUNT(ItemName) Basically I'm looking for records where the max date is yesterday. It works fine and shows the number of days each item was previously on the list (although not necessarily consecutively, but that's fine for now). The problem is when I try to add ranking to see what yesterday's rank was. I tried the following: Select ItemID, ListID, ItemName, ranking, convert(varchar(10),MAX(date),101) as date, COUNT(ItemName) as days_on_list From Table Group By ItemID, ListID, ItemName, ranking Having Max(date) = DATEADD("d",-1,convert(varchar(10),getdate(),101)) and ListID = 1 Order By ListID, ItemName, ranking, COUNT(ItemName) This returns a great deal more records than the previous query so something isn't right with it. I want the same number of records, but with the ranking included. I can get the rank by doing a self-join with a subquery and getting records where the ItemID occurs yesterday but not today - but then I don't know how to get the Count any more. Appreciation in advance for any help with this. ======== SOLVED ============== Select ItemID, ListID, ItemName, ranking, convert(varchar(10),MAX(date),101) as date, COUNT(ItemName) as days_on_list from Table T Where date = DATEADD("d",-1,convert(varchar(10),getdate(),101)) and ListID = 1 and T.ItemID Not In (select T.ItemID from Table T join Table T2 on T.ItemID = T2.ItemID and T.ListID = T2.ListID where T.date = DATEADD("d",-1,convert(varchar(10),getdate(),101)) and T2.date = convert (varchar(10),getdate(),101) and T.ListID = 1) Group by ItemID, ListID, ItemName, ranking Basically, what I did was create a subquery that finds all items that appear in both days, and finds items that appeared yesterday but are not in the set of items that appeared both days. Then I was able to do the aggregate function and grouping correctly. I would NOT be surprised if this is more convoluted than necessary but I understand it and can modify it as needed and performance doesn't seem to be an issue. Thanks everyone for the assist.

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  • How to archive data from a table to a local or remote database in SQL 2005 and SQL 2008

    - by simonsabin
    Often you have the need to archive data from a table. This leads to a number of challenges 1. How can you do it without impacting users 2. How can I make it transactionally consistent, i.e. the data I put in the archive is the data I remove from the main table 3. How can I get it to perform well Points 1 is very much tied to point 3. If it doesn't perform well then the delete of data is going to cause lots of locks and thus potentially blocking. For points 1 and 3 refer to my previous posts DELETE-TOP-x-rows-avoiding-a-table-scan and UPDATE-and-DELETE-TOP-and-ORDER-BY---Part2. In essence you need to be removing small chunks of data from your table and you want to do that avoiding a table scan. So that deals with the delete approach but archiving is about inserting that data somewhere else. Well in SQL 2008 they introduced a new feature INSERT over DML (Data Manipulation Language, i.e. SQL statements that change data), or composable DML. The ability to nest DML statements within themselves, so you can past the results of an insert to an update to a merge. I've mentioned this before here SQL-Server-2008---MERGE-and-optimistic-concurrency. This feature is currently limited to being able to consume the results of a DML statement in an INSERT statement. There are many restrictions which you can find here http://msdn.microsoft.com/en-us/library/ms177564.aspx look for the section "Inserting Data Returned From an OUTPUT Clause Into a Table" Even with the restrictions what we can do is consume the OUTPUT from a DELETE and INSERT the results into a table in another database. Note that in BOL it refers to not being able to use a remote table, remote means a table on another SQL instance. To show this working use this SQL to setup two databases foo and fooArchive create database foo go --create the source table fred in database foo select * into foo..fred from sys.objects go create database fooArchive go if object_id('fredarchive',DB_ID('fooArchive')) is null begin     select getdate() ArchiveDate,* into fooArchive..FredArchive from sys.objects where 1=2       end go And then we can use this simple statement to archive the data insert into fooArchive..FredArchive select getdate(),d.* from (delete top (1)         from foo..Fred         output deleted.*) d         go In this statement the delete can be any delete statement you wish so if you are deleting by ids or a range of values then you can do that. Refer to the DELETE-TOP-x-rows-avoiding-a-table-scan post to ensure that your delete is going to perform. The last thing you want to do is to perform 100 deletes each with 5000 records for each of those deletes to do a table scan. For a solution that works for SQL2005 or if you want to archive to a different server then you can use linked servers or SSIS. This example shows how to do it with linked servers. [ONARC-LAP03] is the source server. begin transaction insert into fooArchive..FredArchive select getdate(),d.* from openquery ([ONARC-LAP03],'delete top (1)                     from foo..Fred                     output deleted.*') d commit transaction and to prove the transactions work try, you should get the same number of records before and after. select (select count(1) from foo..Fred) fred        ,(select COUNT(1) from fooArchive..FredArchive ) fredarchive   begin transaction insert into fooArchive..FredArchive select getdate(),d.* from openquery ([ONARC-LAP03],'delete top (1)                     from foo..Fred                     output deleted.*') d rollback transaction   select (select count(1) from foo..Fred) fred        ,(select COUNT(1) from fooArchive..FredArchive ) fredarchive The transactions are very important with this solution. Look what happens when you don't have transactions and an error occurs   select (select count(1) from foo..Fred) fred        ,(select COUNT(1) from fooArchive..FredArchive ) fredarchive   insert into fooArchive..FredArchive select getdate(),d.* from openquery ([ONARC-LAP03],'delete top (1)                     from foo..Fred                     output deleted.*                     raiserror (''Oh doo doo'',15,15)') d                     select (select count(1) from foo..Fred) fred        ,(select COUNT(1) from fooArchive..FredArchive ) fredarchive Before running this think what the result would be. I got it wrong. What seems to happen is that the remote query is executed as a transaction, the error causes that to rollback. However the results have already been sent to the client and so get inserted into the

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  • Getting segmentaion fault after destructor

    - by therealsquiggy
    I'm making a small file reading and data validation program as part of my TAFE (a tertiary college) course, This includes checking and validating dates. I decided that it would be best done with a seperate class, rather than integrating it into my main driver class. The problem is that I'm getting a segmentation fault(core dumped) after my test program runs. Near as I can tell, the error occurs when the program terminates, popping up after the destructor is called. So far I have had no luck finding the cause of this fault, and was hoping that some enlightened soul might show me the error of my ways. date.h #ifndef DATE_H #define DATE_H #include <string> using std::string; #include <sstream> using std::stringstream; #include <cstdlib> using std::exit; #include <iostream> using std::cout; using std::endl; class date { public: explicit date(); ~date(); bool before(string dateIn1, string dateIn2); int yearsBetween(string dateIn1, string dateIn2); bool isValid(string dateIn); bool getDate(int date[], string dateIn); bool isLeapYear(int year); private: int days[]; }; #endif date.cpp #include "date.h" date::date() { days[0] = 31; days[1] = 28; days[2] = 31; days[3] = 30; days[4] = 31; days[5] = 30; days[6] = 31; days[7] = 31; days[8] = 30; days[9] = 31; days[10] = 30; days[11] = 31; } bool date::before(string dateIn1, string dateIn2) { int date1[3]; int date2[3]; getDate(date1, dateIn1); getDate(date2, dateIn2); if (date1[2] < date2[2]) { return true; } else if (date1[1] < date2[1]) { return true; } else if (date1[0] < date2[0]) { return true; } return false; } date::~date() { cout << "this is for testing only, plox delete\n"; } int date::yearsBetween(string dateIn1, string dateIn2) { int date1[3]; int date2[3]; getDate(date1, dateIn1); getDate(date2, dateIn2); int years = date2[2] - date1[2]; if (date1[1] > date2[1]) { years--; } if ((date1[1] == date2[1]) && (date1[0] > date2[1])) { years--; } return years; } bool date::isValid(string dateIn) { int date[3]; if (getDate(date, dateIn)) { if (date[1] <= 12) { int extraDay = 0; if (isLeapYear(date[2])) { extraDay++; } if ((date[0] + extraDay) <= days[date[1] - 1]) { return true; } } } else { return false; } } bool date::getDate(int date[], string dateIn) { string part1, part2, part3; size_t whereIs, lastFound; whereIs = dateIn.find("/"); part1 = dateIn.substr(0, whereIs); lastFound = whereIs + 1; whereIs = dateIn.find("/", lastFound); part2 = dateIn.substr(lastFound, whereIs - lastFound); lastFound = whereIs + 1; part3 = dateIn.substr(lastFound, 4); stringstream p1(part1); stringstream p2(part2); stringstream p3(part3); if (p1 >> date[0]) { if (p2>>date[1]) { return (p3>>date[2]); } else { return false; } return false; } } bool date::isLeapYear(int year) { return ((year % 4) == 0); } and Finally, the test program #include <iostream> using std::cout; using std::endl; #include "date.h" int main() { date d; cout << "1/1/1988 before 3/5/1990 [" << d.before("1/1/1988", "3/5/1990") << "]\n1/1/1988 before 1/1/1970 [" << d.before("a/a/1988", "1/1/1970") <<"]\n"; cout << "years between 1/1/1988 and 1/1/1998 [" << d.yearsBetween("1/1/1988", "1/1/1998") << "]\n"; cout << "is 1/1/1988 valid [" << d.isValid("1/1/1988") << "]\n" << "is 2/13/1988 valid [" << d.isValid("2/13/1988") << "]\n" << "is 32/12/1988 valid [" << d.isValid("32/12/1988") << "]\n"; cout << "blerg\n"; } I've left in some extraneous cout statements, which I've been using to try and locate the error. I thank you in advance.

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  • Getting segmentation fault after destructor

    - by therealsquiggy
    I'm making a small file reading and data validation program as part of my TAFE (a tertiary college) course, This includes checking and validating dates. I decided that it would be best done with a seperate class, rather than integrating it into my main driver class. The problem is that I'm getting a segmentation fault(core dumped) after my test program runs. Near as I can tell, the error occurs when the program terminates, popping up after the destructor is called. So far I have had no luck finding the cause of this fault, and was hoping that some enlightened soul might show me the error of my ways. date.h #ifndef DATE_H #define DATE_H #include <string> using std::string; #include <sstream> using std::stringstream; #include <cstdlib> using std::exit; #include <iostream> using std::cout; using std::endl; class date { public: explicit date(); ~date(); bool before(string dateIn1, string dateIn2); int yearsBetween(string dateIn1, string dateIn2); bool isValid(string dateIn); bool getDate(int date[], string dateIn); bool isLeapYear(int year); private: int days[]; }; #endif date.cpp #include "date.h" date::date() { days[0] = 31; days[1] = 28; days[2] = 31; days[3] = 30; days[4] = 31; days[5] = 30; days[6] = 31; days[7] = 31; days[8] = 30; days[9] = 31; days[10] = 30; days[11] = 31; } bool date::before(string dateIn1, string dateIn2) { int date1[3]; int date2[3]; getDate(date1, dateIn1); getDate(date2, dateIn2); if (date1[2] < date2[2]) { return true; } else if (date1[1] < date2[1]) { return true; } else if (date1[0] < date2[0]) { return true; } return false; } date::~date() { cout << "this is for testing only, plox delete\n"; } int date::yearsBetween(string dateIn1, string dateIn2) { int date1[3]; int date2[3]; getDate(date1, dateIn1); getDate(date2, dateIn2); int years = date2[2] - date1[2]; if (date1[1] > date2[1]) { years--; } if ((date1[1] == date2[1]) && (date1[0] > date2[1])) { years--; } return years; } bool date::isValid(string dateIn) { int date[3]; if (getDate(date, dateIn)) { if (date[1] <= 12) { int extraDay = 0; if (isLeapYear(date[2])) { extraDay++; } if ((date[0] + extraDay) <= days[date[1] - 1]) { return true; } } } else { return false; } } bool date::getDate(int date[], string dateIn) { string part1, part2, part3; size_t whereIs, lastFound; whereIs = dateIn.find("/"); part1 = dateIn.substr(0, whereIs); lastFound = whereIs + 1; whereIs = dateIn.find("/", lastFound); part2 = dateIn.substr(lastFound, whereIs - lastFound); lastFound = whereIs + 1; part3 = dateIn.substr(lastFound, 4); stringstream p1(part1); stringstream p2(part2); stringstream p3(part3); if (p1 >> date[0]) { if (p2>>date[1]) { return (p3>>date[2]); } else { return false; } return false; } } bool date::isLeapYear(int year) { return ((year % 4) == 0); } and Finally, the test program #include <iostream> using std::cout; using std::endl; #include "date.h" int main() { date d; cout << "1/1/1988 before 3/5/1990 [" << d.before("1/1/1988", "3/5/1990") << "]\n1/1/1988 before 1/1/1970 [" << d.before("a/a/1988", "1/1/1970") <<"]\n"; cout << "years between 1/1/1988 and 1/1/1998 [" << d.yearsBetween("1/1/1988", "1/1/1998") << "]\n"; cout << "is 1/1/1988 valid [" << d.isValid("1/1/1988") << "]\n" << "is 2/13/1988 valid [" << d.isValid("2/13/1988") << "]\n" << "is 32/12/1988 valid [" << d.isValid("32/12/1988") << "]\n"; cout << "blerg\n"; } I've left in some extraneous cout statements, which I've been using to try and locate the error. I thank you in advance.

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  • Derived Column Editor

    - by Rob Bowman
    Hi I need to assign a formatted date to a column in a data flow. I have added a Derived Column editor and entered the following expression: "BBD" + SUBSTRING((DT_WSTR,4)DATEADD("Day",30,GETDATE()),1,4) + SUBSTRING((DT_WSTR,2)DATEADD("Day",30,GETDATE()),6,2) + SUBSTRING((DT_WSTR,2)DATEADD("Day",30,GETDATE()),9,2) The problem is that the "Derived Column Transformation Editor" automatically assigns a Data Type of "Unicode string[DT_WSTR]" and a length of "7". Howver, the length of a string is 11, therefore the following exception is thrown each time: [Best Before Date [112]] Error: The "component "Best Before Date" (112)" failed because truncation occurred, and the truncation row disposition on "output column "Comments" (132)" specifies failure on truncation. A truncation error occurred on the specified object of the specified component. Does anyone know why the edit is insisting on a length of 7? I don't seem to be able to change this. Many thanks, Rob.

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  • Issue with python string join.

    - by Pradyot
    I have some code in which I apply a join to a list. The list before the join looks like this: ["'DealerwebAgcy_NYK_GW_UAT'", "'DealerwebAgcy'", "'UAT'", '@ECNPhysicalMarketCo nfigId', "'GATEWAY'", "'DEALERWEB_MD_AGCY'", "'NU1MKVETC'", "'mkvetcu'", "'C:\te mp'", '0', "'NYK'", '0', '1', "'isqlw.exe'", 'GetDate()', '12345', "'NYK'", '350 ', '7'] After the join this is the resulting string 'DealerwebAgcy_NYK_GW_UAT','DealerwebAgcy','UAT',@ECNPhysicalMarketConfigId,'GAT EWAY','DEALERWEB_MD_AGCY','NU1MKVETC','mkvetcu','C: emp',0,'NYK',0,1,'isqlw. exe',GetDate(),12345,'NYK',350,7 Note the element "'C:\temp'" which ends up as ,'C: emp', I tried something similar on the python command prompt , but I wasn't able to 2 repeat this. the relevant code responsible for this magic is as follows. values_dict["ECNMarketInstance"] = [strVal(self.EcnInstance_),strVal (self.DisplayName_) ,strVal(self.environment_), '@ECNPhysicalMarketConfigId', strVal(self.EcnGatewaTypeId_),strVal(self.ConnectionComponent_) ,strVal(self.UserName_),strVal(self.Password_),strVal(self.WorkingDir_),"0",strVal(self.region_),"0","1", strVal(self.LUVersion_), "GetDate()" , self.LUUserId_ ,strVal(self.LUOwningSite_),self.QuoteColumnId_ , self.Capabilities_] delim = "," joined = delim.join(values) print values print joined

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  • xsd:datetime and XmlGregorianCalendar causes NullPointerException

    - by Draemon
    The following works: public Date getDate() { return date; } and produces something like: <date>2010-03-23T17:43:50.879Z</date> And I can use an XmlGregorianCalendar to return xsd:date or xsd:time types fine: @XmlSchemaType(name="date") public XmlGregorianCalendar getDate() { return date; } which produces something like: <date>2010-03-23</date> But trying to return xsd:datetime like so: @XmlSchemaType(name="datetime") public XmlGregorianCalendar getDate() { return date; } Causes this stack trace: java.lang.NullPointerException at com.sun.xml.bind.v2.model.impl.RuntimeBuiltinLeafInfoImpl.checkXmlGregorianCalendarFieldRef(RuntimeBuiltinLeafInfoImpl.java:864) at com.sun.xml.bind.v2.model.impl.RuntimeBuiltinLeafInfoImpl.access$200(RuntimeBuiltinLeafInfoImpl.java:111) at com.sun.xml.bind.v2.model.impl.RuntimeBuiltinLeafInfoImpl$13.print(RuntimeBuiltinLeafInfoImpl.java:536) ...snip... at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:852) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.process(Http11Protocol.java:588) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:489) at java.lang.Thread.run(Thread.java:619) Which doesn't mention my code at all. I'm using tomcat 6.0.24, java 1.6.0_16-b01

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  • Left Join Returning Extra Rows T-SQL?

    - by davemackey
    I have the following query: select * from ACADEMIC a left join RESIDENCY r on a.PEOPLE_CODE_ID = r.PEOPLE_CODE_ID where a.ACADEMIC_TERM='Fall' and r.ACADEMIC_TERM='Fall' and a.ACADEMIC_SESSION='' and a.ACADEMIC_YEAR = (Select Year(GetDate())) and r.ACADEMIC_YEAR = (Select Year(GetDate())) and (CLASS_LEVEL LIKE 'FR%' OR a.CLASS_LEVEL LIKE 'SO' OR a.CLASS_LEVEL LIKE 'JR' OR a.CLASS_LEVEL LIKE 'SR%') and r.RESIDENT_COMMUTER='R' For each person in the database it returns two rows with identical information. Yet, when I do the same query without the left join: select * from ACADEMIC a where a.ACADEMIC_TERM='Fall' and a.ACADEMIC_SESSION='' and a.ACADEMIC_YEAR = (Select Year(GetDate())) and (CLASS_LEVEL LIKE 'FR%' OR a.CLASS_LEVEL LIKE 'SO' OR a.CLASS_LEVEL LIKE 'JR' OR a.CLASS_LEVEL LIKE 'SR%') ORDER BY PEOPLE_ID It returns only one row for each person. I'm doing a left join - why is it adding an extra row? Shouldn't it only do that if I add a right join?

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  • datediff rounding

    - by derekcohen
    I have a db table in SQL Server which contains a start date for a project. On a web status page I want to show how many days/weeks/months the project has run, the units depending on the duration. So under 21 days I'd show days, under 7 weeks I'd show weeks, otherwise show completed months. So I get the days, weeks and months values and can then use some code to decide which one to display. Suppose the project starts on 30 Dec 2010 and I'm checking today (27 Feb 2011). select datediff(d,'30 Dec 2010',getdate()) as days, datediff(wk,'30 Dec 2010',getdate()) as weeks , datediff(m,'30 Dec 2010',getdate())as months produces days: 59 weeks: 9 months: 2 But in fact the difference is 8 whole weeks and some rounding takes place. I've tried doing it in ASP as well, getting the start date and then doing the datediff() but it's no better. Is there a better way? thanks

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  • Pre-Populated Date in Text Field

    - by user2537332
    I am trying to pre-populate a text box with today's date, but for some reason, it keeps showing today's date as 5/30/13, which is a month behind. This code should just be pulling the local time so why is it a month behind? Here is my code, can someone please tell me why the current date is off...Please help, :) var dateToday=new Date(); function loadDate(){ var today=dateToday.getMonth() + "/" +dateToday.getDate()+"/"+dateToday.getFullYear(); document.forms[0].curDate.value=today; } function orderReady(orderTime){ dateToday.setDate(dateToday.getDate()+orderTime); var ready=dateToday.getMonth()+"/" +dateToday.getDate()+"/"+dateToday.getFullYear(); document.forms[0].puDate.value=ready; } <body onload="loadDate();"> <p>Today's Date<br /> <input type="text" name="curDate" size="50" /><br />

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  • SQL SERVER – Saturday Fun Puzzle with SQL Server DATETIME2 and CAST

    - by pinaldave
    Note: I have used SQL Server 2012 for this small fun experiment. Here is what we are going to do. We will run the script one at time instead of running them all together and try to guess the answer. I am confident that many will get it correct but if you do not get correct, you learn something new. Let us create database and sample table. CREATE DATABASE DB2012 GO USE DB2012 GO CREATE TABLE TableDT (DT1 VARCHAR(100), DT2 DATETIME2, DT1C AS DT1, DT2C AS DT2); INSERT INTO TableDT (DT1, DT2) SELECT GETDATE(), GETDATE() GO There are four columns in the table. The first column DT1 is regular VARCHAR and second DT2 is DATETIME2. Both of the column are been populated with the same data as I have used the function GETDATE(). Now let us do the SELECT statement and get the result from both the columns. Before running the query please guess the answer and write it down on the paper or notepad. Question 1: Guess the resultset SELECT DT1, DT2 FROM TableDT GO Now once again run the select statement on the same table but this time retrieve the computed columns only. Once again I suggest you write down the result on the notepad. Question 2: Guess the resultset SELECT DT1C, DT2C FROM TableDT GO Now here is the best part. Let us use the CAST function over the computed columns. Here I do want you to stop and guess the answer for sure. If you have not done it so far, stop do it, believe me you will like it. Question 3: Guess the resultset SELECT CAST(DT1C AS DATETIME2) CDT1C, CAST(DT2C AS DATETIME2) CDT1C FROM TableDT GO Now let us inspect all the answers together and see how many of you got it correct. Answer 1: Answer 2: Answer 3:  If you have not tried to run the script so far, you can execute all the three of the above script together over here and see the result together. SELECT CAST(DT1C AS DATETIME2) CDT1C, CAST(DT2C AS DATETIME2) CDT1C FROM TableDT GO Here is the Saturday Fun question to you – why do we get same result from both of the expressions in Question 3, where as in question 2 both the expression have different answer. I will publish the valid answer with explanation in future blog posts. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL DateTime, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • quick look at: dm_db_index_physical_stats

    - by fatherjack
    A quick look at the key data from this dmv that can help a DBA keep databases performing well and systems online as the users need them. When the dynamic management views relating to index statistics became available in SQL Server 2005 there was much hype about how they can help a DBA keep their servers running in better health than ever before. This particular view gives an insight into the physical health of the indexes present in a database. Whether they are use or unused, complete or missing some columns is irrelevant, this is simply the physical stats of all indexes; disabled indexes are ignored however. In it’s simplest form this dmv can be executed as:   The results from executing this contain a record for every index in every database but some of the columns will be NULL. The first parameter is there so that you can specify which database you want to gather index details on, rather than scan every database. Simply specifying DB_ID() in place of the first NULL achieves this. In order to avoid the NULLS, or more accurately, in order to choose when to have the NULLS you need to specify a value for the last parameter. It takes one of 4 values – DEFAULT, ‘SAMPLED’, ‘LIMITED’ or ‘DETAILED’. If you execute the dmv with each of these values you can see some interesting details in the times taken to complete each step. DECLARE @Start DATETIME DECLARE @First DATETIME DECLARE @Second DATETIME DECLARE @Third DATETIME DECLARE @Finish DATETIME SET @Start = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, DEFAULT) AS ddips SET @First = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, 'SAMPLED') AS ddips SET @Second = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, 'LIMITED') AS ddips SET @Third = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, 'DETAILED') AS ddips SET @Finish = GETDATE() SELECT DATEDIFF(ms, @Start, @First) AS [DEFAULT] , DATEDIFF(ms, @First, @Second) AS [SAMPLED] , DATEDIFF(ms, @Second, @Third) AS [LIMITED] , DATEDIFF(ms, @Third, @Finish) AS [DETAILED] Running this code will give you 4 result sets; DEFAULT will have 12 columns full of data and then NULLS in the remainder. SAMPLED will have 21 columns full of data. LIMITED will have 12 columns of data and the NULLS in the remainder. DETAILED will have 21 columns full of data. So, from this we can deduce that the DEFAULT value (the same one that is also applied when you query the view using a NULL parameter) is the same as using LIMITED. Viewing the final result set has some details that are worth noting: Running queries against this view takes significantly longer when using the SAMPLED and DETAILED values in the last parameter. The duration of the query is directly related to the size of the database you are working in so be careful running this on big databases unless you have tried it on a test server first. Let’s look at the data we get back with the DEFAULT value first of all and then progress to the extra information later. We know that the first parameter that we supply has to be a database id and for the purposes of this blog we will be providing that value with the DB_ID function. We could just as easily put a fixed value in there or a function such as DB_ID (‘AnyDatabaseName’). The first columns we get back are database_id and object_id. These are pretty explanatory and we can wrap those in some code to make things a little easier to read: SELECT DB_NAME([ddips].[database_id]) AS [DatabaseName] , OBJECT_NAME([ddips].[object_id]) AS [TableName] … FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, NULL) AS ddips  gives us   SELECT DB_NAME([ddips].[database_id]) AS [DatabaseName] , OBJECT_NAME([ddips].[object_id]) AS [TableName], [i].[name] AS [IndexName] , ….. FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, NULL) AS ddips INNER JOIN [sys].[indexes] AS i ON [ddips].[index_id] = [i].[index_id] AND [ddips].[object_id] = [i].[object_id]     These handily tie in with the next parameters in the query on the dmv. If you specify an object_id and an index_id in these then you get results limited to either the table or the specific index. Once again we can place a  function in here to make it easier to work with a specific table. eg. SELECT * FROM [sys].[dm_db_index_physical_stats] (DB_ID(), OBJECT_ID(‘AdventureWorks2008.Person.Address’) , 1, NULL, NULL) AS ddips   Note: Despite me showing that functions can be placed directly in the parameters for this dmv, best practice recommends that functions are not used directly in the function as it is possible that they will fail to return a valid object ID. To be certain of not passing invalid values to this function, and therefore setting an automated process off on the wrong path, declare variables for the OBJECT_IDs and once they have been validated, use them in the function: DECLARE @db_id SMALLINT; DECLARE @object_id INT; SET @db_id = DB_ID(N’AdventureWorks_2008′); SET @object_id = OBJECT_ID(N’AdventureWorks_2008.Person.Address’); IF @db_id IS NULL BEGINPRINT N’Invalid database’; ENDELSE IF @object_id IS NULL BEGINPRINT N’Invalid object’; ENDELSE BEGINSELECT * FROM sys.dm_db_index_physical_stats (@db_id, @object_id, NULL, NULL , ‘LIMITED’); END; GO In cases where the results of querying this dmv don’t have any effect on other processes (i.e. simply viewing the results in the SSMS results area)  then it will be noticed when the results are not consistent with the expected results and in the case of this blog this is the method I have used. So, now we can relate the values in these columns to something that we recognise in the database lets see what those other values in the dmv are all about. The next columns are: We’ll skip partition_number, index_type_desc, alloc_unit_type_desc, index_depth and index_level  as this is a quick look at the dmv and they are pretty self explanatory. The final columns revealed by querying this view in the DEFAULT mode are avg_fragmentation_in_percent. This is the amount that the index is logically fragmented. It will show NULL when the dmv is queried in SAMPLED mode. fragment_count. The number of pieces that the index is broken into. It will show NULL when the dmv is queried in SAMPLED mode. avg_fragment_size_in_pages. The average size, in pages, of a single fragment in the leaf level of the IN_ROW_DATA allocation unit. It will show NULL when the dmv is queried in SAMPLED mode. page_count. Total number of index or data pages in use. OK, so what does this give us? Well, there is an obvious correlation between fragment_count, page_count and avg_fragment_size-in_pages. We see that an index that takes up 27 pages and is in 3 fragments has an average fragment size of 9 pages (27/3=9). This means that for this index there are 3 separate places on the hard disk that SQL Server needs to locate and access to gather the data when it is requested by a DML query. If this index was bigger than 72KB then having it’s data in 3 pieces might not be too big an issue as each piece would have a significant piece of data to read and the speed of access would not be too poor. If the number of fragments increases then obviously the amount of data in each piece decreases and that means the amount of work for the disks to do in order to retrieve the data to satisfy the query increases and this would start to decrease performance. This information can be useful to keep in mind when considering the value in the avg_fragmentation_in_percent column. This is arrived at by an internal algorithm that gives a value to the logical fragmentation of the index taking into account the multiple files, type of allocation unit and the previously mentioned characteristics if index size (page_count) and fragment_count. Seeing an index with a high avg_fragmentation_in_percent value will be a call to action for a DBA that is investigating performance issues. It is possible that tables will have indexes that suffer from rapid increases in fragmentation as part of normal daily business and that regular defragmentation work will be needed to keep it in good order. In other cases indexes will rarely become fragmented and therefore not need rebuilding from one end of the year to another. Keeping this in mind DBAs need to use an ‘intelligent’ process that assesses key characteristics of an index and decides on the best, if any, defragmentation method to apply should be used. There is a simple example of this in the sample code found in the Books OnLine content for this dmv, in example D. There are also a couple of very popular solutions created by SQL Server MVPs Michelle Ufford and Ola Hallengren which I would wholly recommend that you review for much further detail on how to care for your SQL Server indexes. Right, let’s get back on track then. Querying the dmv with the fifth parameter value as ‘DETAILED’ takes longer because it goes through the index and refreshes all data from every level of the index. As this blog is only a quick look a we are going to skate right past ghost_record_count and version_ghost_record_count and discuss avg_page_space_used_in_percent, record_count, min_record_size_in_bytes, max_record_size_in_bytes and avg_record_size_in_bytes. We can see from the details below that there is a correlation between the columns marked. Column 1 (Page_Count) is the number of 8KB pages used by the index, column 2 is how full each page is (how much of the 8KB has actual data written on it), column 3 is how many records are recorded in the index and column 4 is the average size of each record. This approximates to: ((Col1*8) * 1024*(Col2/100))/Col3 = Col4*. avg_page_space_used_in_percent is an important column to review as this indicates how much of the disk that has been given over to the storage of the index actually has data on it. This value is affected by the value given for the FILL_FACTOR parameter when creating an index. avg_record_size_in_bytes is important as you can use it to get an idea of how many records are in each page and therefore in each fragment, thus reinforcing how important it is to keep fragmentation under control. min_record_size_in_bytes and max_record_size_in_bytes are exactly as their names set them out to be. A detail of the smallest and largest records in the index. Purely offered as a guide to the DBA to better understand the storage practices taking place. So, keeping an eye on avg_fragmentation_in_percent will ensure that your indexes are helping data access processes take place as efficiently as possible. Where fragmentation recurs frequently then potentially the DBA should consider; the fill_factor of the index in order to leave space at the leaf level so that new records can be inserted without causing fragmentation so rapidly. the columns used in the index should be analysed to avoid new records needing to be inserted in the middle of the index but rather always be added to the end. * – it’s approximate as there are many factors associated with things like the type of data and other database settings that affect this slightly.  Another great resource for working with SQL Server DMVs is Performance Tuning with SQL Server Dynamic Management Views by Louis Davidson and Tim Ford – a free ebook or paperback from Simple Talk. Disclaimer – Jonathan is a Friend of Red Gate and as such, whenever they are discussed, will have a generally positive disposition towards Red Gate tools. Other tools are often available and you should always try others before you come back and buy the Red Gate ones. All code in this blog is provided “as is” and no guarantee, warranty or accuracy is applicable or inferred, run the code on a test server and be sure to understand it before you run it on a server that means a lot to you or your manager.

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  • Concurrency checking with Last Change Time

    - by Lijo
    I have a following three tables Email (emailNumber, Address) Recipients (reportNumber, emailNumber, lastChangeTime) Report (reportNumber, reportName) I have a C# application that uses inline queries for data selection. I have a select query that selects all reports and their Recipients. Recipients are selected as comma separacted string. During updating, I need to check concurrency. Currently I am using MAX(lastChangeTime) for each reportNumber. This is selected as maxTime. Before update, it checks that the lastChangeTime <= maxTime. --//It works fine One of my co-developers asked why not use GETDATE() as “maxTime” rather than using a MAX operation. That is also working. Here what we are checking is the records are not updated after the record selection time. Is there any pitfalls in using GETDATE() for this purpose?

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  • T-SQL: @@IDENTITY, SCOPE_IDENTITY(), OUTPUT and other methods of retrieving last identity

    - by Terrapin
    I have seen various methods used when retrieving the value of a primary key identity field after insert. declare @t table ( id int identity primary key, somecol datetime default getdate() ) insert into @t default values select SCOPE_IDENTITY() --returns 1 select @@IDENTITY --returns 1 Returning a table of identities following insert: Create Table #Testing ( id int identity, somedate datetime default getdate() ) insert into #Testing output inserted.* default values What method is proper or better? Is the OUTPUT method scope-safe? The second code snippet was borrowed from SQL in the Wild

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  • dynamiclly schedule a lead sales agent

    - by Josh
    I have a website that I'm trying to migrate from classic asp to asp.net. It had a lead schedule, where each sales agent would be featured for the current day, or part of the day.The next day a new agent would be scheduled. It was driven off a database table that had a row for each day in it. So to figure out if a sales agent would show on a day, it was easy, just find today's date in the table. Problem was it ran out rows, and you had to run a script to update the lead days 6 months at a time. Plus if there was ever any change to the schedule, you had to delete all the rows and re-run the script. So I'm trying to code it where sql server figures that out for me, and no script has to be ran. I have a table like so CREATE TABLE [dbo].[LeadSchedule]( [leadid] [int] IDENTITY(1,1) NOT NULL, [userid] [int] NOT NULL, [sunday] [bit] NOT NULL, [monday] [bit] NOT NULL, [tuesday] [bit] NOT NULL, [wednesday] [bit] NOT NULL, [thursday] [bit] NOT NULL, [friday] [bit] NOT NULL, [saturday] [bit] NOT NULL, [StartDate] [smalldatetime] NULL, [EndDate] [smalldatetime] NULL, [StartTime] [time](0) NULL, [EndTime] [time](0) NULL, [order] [int] NULL, So the user can schedule a sales agent depending on their work schedule. Also if they wanted to they could split certain days, or sales agents by time, So from Midnight to 4 it was one agent, from 4-midnight it was another. So far I've tried using a numbers table, row numbers, goofy date math, and I'm at a loss. Any suggestions on how to handle this purely from sql code? If it helps, the table should always be small, like less than 20 never over 100. update After a few hours all I've managed to come up with is the below. It doesn't handle filling in days not available or times, just rotates through all the sales agents with leadTable as ( select leadid,userid,[order],StartDate, case DATEPART(dw,getdate()) when 1 then sunday when 2 then monday when 3 then tuesday when 4 then wednesday when 5 then thursday when 6 then friday when 7 then saturday end as DayAvailable , ROW_NUMBER() OVER (ORDER BY [order] ASC) AS ROWID from LeadSchedule where GETDATE()>=StartDate and (CONVERT(time(0),GETDATE())>= StartTime or StartTime is null) and (CONVERT(time(0),GETDATE())<= EndTime or EndTime is null) ) select userid, DATEADD(d,(number+ROWID-2)*totalUsers,startdate ) leadday from (select *, (select COUNT(1) from leadTable) totalUsers from leadTable inner join Numbers on 1=1 where DayAvailable =1 ) tb1 order by leadday asc

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  • help optimize sql query

    - by msony
    I have tracking table tbl_track with id, session_id, created_date fields I need count unique session_id for one day here what i got: select count(0) from ( select distinct session_id from tbl_track where created_date between getdate()-1 and getdate() group by session_id )tbl im feeling that it could be better solution for it

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  • TSQL, How to get smalldatetime's time between two smalldatetime's times ?

    - by eugeneK
    I have Table with two smalldatetime columns, where one is startTime and other one is endTime. I need to select all values from table which between times of both columns compared to getdate()' time. I'm using SQL-Server 2005. example startDate endDate value1 2/2/01 16:00 2/2/01 18:00 1 2/2/01 21:00 2/2/01 22:00 2 2/2/01 05:00 2/2/01 22:00 3 getdate() gives 2/2/2000 21:40 so i need to get value1 2 and 3 thanks in advance

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  • SQL dynamic date but fixed time query

    - by Marko Lombardi
    I am trying to write a sql query like the example below, however, I need it to always choose the DateEntered field between the current day's date at 8:00am and the current day's date at 4:00pm. Not sure how to go about this. Can someone please help? SELECT OrderNumber , OrderRelease , HeatNumber , HeatSuffix , Operation , COUNT(Operation) AS [Pieces Out of Tolerance] FROM Alerts WHERE (Mill = 3) AND (DateEntered BETWEEN GetDate '08:00' AND GetDate '16:00') GROUP BY OrderNumber, OrderRelease, HeatNumber, HeatSuffix, Operation

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