Last Update Date using SQL Trigger in SQL Server Database Tabledownload SQL Server 2. SQL Server 2. 01. SQL Server 2. 01. Here Mudassar Ahmed Khan has explained with simple examples, how to write Insert, Update and Delete Triggers in SQL Server. This tutorial is applicable for all. The 1 SQL Server community and education site, with articles, news, forums, scripts and FAQs. Foreign key constraints are an integral part of SQL Server database design. These are used to maintain integrity among related data in different tables. While. It is important to keep last update date on a database table row to see the last time when the current record is updated. Database administrators and SQL developers generally put Insert. Date and Update. Date columns in table definitions during their CREATE TABLE scripts. I use SQL Serve Update Trigger or SQL Server Instead Of Update Trigger to keep last update date field up to date. Either for audit purposes or for database application requirements, last updated date is a valuable information for database professionals. But it is not always easy to maintain last update date for each row if your application is huge and complex containing many stored procedures which update target database tables. Here in this SQL tutorial, Ill demonstrate a solution which is common among SQL developers and SQL Server administrators to kepp Last Updated Date field up to date. The solution of this sql problem benefits from use of SQL trigger like SQL Update trigger and SQL Server Instead of Triggers Instead of Update trigger. Order. Items table is our sample database table in this SQL tutorial. Assume that it is important for sql developers or database application users to keep and see the last update date field up to date. First use DEFAULT for the Last. Update. Date column with defining the default value GETDATE. This default value will be assigned to each new row when they are inserted to the sample sql table Order. Items. It is important to be aware that DEFAULT option will only work for a new record in database table. So when an INSERT statement is executed, Last. The auto update statistics feature of SQL Server relies on number of rows changed or updated to determine if statistics update is needed. The statistics of. Update. Date column values will be set to GETDATE function value. Create Table Order. Items Order. Id int,Item. Id int,Product. Id int,Quantity int,Last. Update. Date datetime default GETDATEIf you add new rows to our database table, you will see that the Last. Update. Date is populated with the transaction date value correctly. Order. Items Order. Id, Item. Id, Product. Id, Quantity select 1,1,1,1insert into Order. Items Order. Id, Item. Id, Product. Id, Quantity select 1,2,2,2insert into Order. Items Order. Id, Item. Id, Product. Id, Quantity select 2,1,3,3. But this is half of the solution we are looking for. To fullfill the requirement, after an update statement the Last. Update. Date field should keep the UPDATE date. But if you execute an sql UPDATE command on one of the table rows for quantity for example, you will see that the Order. Items Last. Update. Date column value is unchanged. SQL developers can solve the remaining problem only with using a SQL Server trigger. In fact a SQL Server Update Trigger can help us for solution. SQL Update triggers are executed when an UPDATE command is called on the database table. For SQL Server UPDATE trigger, we have two options two use SQL Server AFTER UPDATE trigger or SQL Server INSTEAD OF UPDATE trigger. Lets start with SQL After UPDATE trigger codes. Create the sql trigger using the following t sql create script. CREATE TRIGGER trOrder. ItemsLast. Update. Date ON Order. Items AFTER UPDATEASUPDATE Order. Items. SET Last. Update. Date Get. DateFROM Order. Items o. INNER JOIN Inserted i. ON o. Order. Id i. Order. Id. AND o. Item. Id i. Item. Id. GONow you can run sample UPDATE commands to trace the results if the Last. Update. Date column value is up to date. Order. Items set Quantity 5 where Order. Id 1 and Item. Id 2. If you run SELECT command on Order. Items table in our sql tutorial, you will see that Last. Update. Date field value is populated with transaction datetime value as required. Now lets build an INSTEAD OF UPDATE SQL Server trigger solution. Before you continue with new SQL trigger, lets drop the current database trigger trOrder. ItemsLast. Update. Date. DROP TRIGGER trOrder. ItemsLast. Update. Date. Create SQL Server INSTEAD OF UPDATE trigger executing the following t sql command. CREATE TRIGGER trOrder. ItemsLast. Update. Date ON Order. Items INSTEAD OF UPDATEASUPDATE Order. Items. SETOrder. Id i. Order. Id,Item. Id i. Item. Id,Product. Id i. Product. Id,Quantity i. Quantity,Last. Update. Date Get. DateFROM Inserted i. INNER JOIN Order. Items o. ON o. Order. Id i. Order. Id. AND o. Item. Id i. Item. Id. GO. Now you can run example UPDATE commands over sample sql database table to see if the last updated date column is storing the latest update date and time value in it. Tweet. Related SQL Resources. SQL Server Articles. SQL Server 2. 01. SQL Server Tools. SQL Blog. SQL Server 2. Blog. Certification Exams Blog. Reporting Services Blog. Analysis Services Blog. MS SQL Server Forums.
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In order to make this data available for. ETL scratch table. Hash files are wonderful mechanisms for staging data if it is needed. The best choice for data that is not needed for. Hash files have the overhead of. Using a SQL interface to a hash file UVODBC stage. UVSQL commands. A hash file has no secondary indexes to support any. While the underlying engine has the. ETL tool This. defeats the entire purpose of exposing data transformation to the simple. The only exception would be using the UVODBC. Cramming obscene volumes into a hash file. If. you are creating distributed hash files or 6. BIT hash files, you should. These. file options are meant for significant files exceeding 2. The knowledge required to create and maintain is not. ETL and therefore very unique. There are alternatives, such. You are storing persistent, production data. ETL tool. Hash files should be used as throw away or. Anything else requires archival and. Preloading to memory when each row will only be. If all rows are going to be referenced once, then. The. preloading activity reads the row and then puts it into memory. During. processing the row is again referenced from memory. Without preloading. The accessing of the hash file will move a. Preloading to memory when the majority of rows. If the number of input processing rows does. This is especially true when the. This is because the maximum number of reads on the reference lookup will. Preloading the rest of the. Many parallel jobs writing to the same hash. There has to be very careful consideration and recognition as to. Data. Stage handles parallel writes to a hash file. A job writing to a hash file will. Instantiated jobs. There is a point of diminishing return when N1 instantiations. N instantiations. This is unique to. In. some cases 4 instances may have better overall runtime than 8 instances. Using locking mechanisms for rows in the hash. In order to help use Data. Stage in a more transactional mode. These features should NEVER be used. ETL. The overhead involved is tremendously degrading to. Data. Stage uses dirty reads and writes to the hash files. It is time tested and true to run processes in serial and allow. In Data. Stage Designer, make sure that all of. The system of record for any metadata should come from the job. Using the correct. If you are twiddling the primary. Data. Stage can be deceiving in that you can. This is a relational perspective. Data. Stage will read the entire contents. You should. not alter definitions from one job to another expecting results to meet. There are a few tricks to making your hash files more efficient. The. best option is to try to stay with dynamic hash files and use initial. Using a simple job that reads a. Start with a hash file with initial modulus kind of like initial extent. Run your job limiting your rows. Take a look at the contents of the subdirectory of your hash file name. Code ls al varoptworkhashtmp. Example. drwxr xr x 2 radnet radnet 9. May 1. 4 0. 1 0. May 1. 4 0. 1 5. May 1. 4 0. 1 0. Type. 30. rw r r 1 radnet radnet 4. May 1. 4 0. 1 0. DATA. 3. 0. rw r r 1 radnet radnet 2. May 1. 4 0. 1 0. OVER. 3. 0 You can see that the DATA. OVER. 3. 0 file has a size of 2. Now run your job again, this time for. Code ls al varoptworkhashtmp. Example. drwxr xr x 2 radnet radnet 9. May 1. 4 0. 1 0. May 1. 4 0. 1 5. May 1. 4 0. 1 0. Type. 30. rw r r 1 radnet radnet 7. May 1. 4 0. 1 1. DATA. 3. 0. rw r r 1 radnet radnet 2. May 1. 4 0. 1 1. OVER. 3. 0 The data file has now grown by doubling in size again and again to meet. The job ended with data in the over flow file. This hash file is not tuned as an optimal reference lookup, as a. At this point we could do some research and compute a modulus for this. However, through a few rounds of experimentation we can. In your Designer client set the. Since modulus is computed using average bytes. Experiment re running the. Watch the file as the job runs, you should see it created at the initial. Code ls al varoptworkhashtmp. Example. drwxr xr x 2 radnet radnet 9. May 1. 4 0. 1 0. May 1. 4 0. 1 5. May 1. 4 0. 1 0. Type. 30. rw r r 1 radnet radnet 1. May 1. 4 0. 1 2. DATA. 3. 0. rw r r 1 radnet radnet 2. May 1. 4 0. 1 2. OVER. 3. 0Keep in mind that the minimum modulus means that this hash file will. The only way to. reclaim this disk space is to remove the hash file, clearing it will. Were Data. Stage to always require a directory path for hash files, many. Data. Stage by default will put hash files into the project. When it. does this, it puts something similar to a database synonym into an. VOC. If you erased the hash file in at the OS level using the rm command. This is because that synonym is still in the VOC. Using the DELETE. FILE command in the DSEngine shell will fail because. VOC entry. You have to manually remove the VOC entry by typing DELETE. VOC hashfilename. The way to avoid this is to use externally pathed hash files. The. DSEngine will not create a VOC entry for your hash file. By directly. qualifying the location of the hash file, you can put hash files. Having work files created, modified, and deleted in. Not. only does this separate the critical pieces of the ETL tool from the. A hash file has no internal form other than the key structure. Since. the key is the address to where a row of data resides, it has the only. For example, a hash file for holding. However. there are different types of customer records with different columns. For each record type, you could have a distinct hash. Or, you could add record type as part of the primary key and have. You could create many different column definitions for. I dont however recommend this type of data model. One and only one row can exist in a hash file with a given key. When. writing to a hash file, Data. Stage will not check to see if a row is. It will write or overwrite new. 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