I don't work much with the back end of software development so there is a lot about SQL Server I do not know.
We are building a database. The database will have about 10 tables in it. 3 of these tables will probably have a huge amount of data in them. Specifically each one of the 3 tables will each have about a half a million database records in it. Each record is about 100 characters max in length.(Im am including numbers as characters and summing the individual columns/fields to come up with 100).
Will a SQL server database table with A half a million records in it be possible? We have tried to normalize the database to cut down on the size of the table but it all comes out to about a half a million records per table.
I have a table that I need to do some computations on all the data but first I need to remove the duplicate records and insert the results into a destination table. Here's the example below. My table has 3.1 million rows. I have tried using the DISTINCT and the GROUP BY but both ways to select the data takes about half a minute to run. I'm wondering if there is a way to increase performance. Users are ok with this time since the process runs overnight but improving it won't hurt. I do have a clustered index on these fields but that doesn't seem to improve any.
Hello,We maintain a 175 million record database table for our customer.This is an extract of some data collected for them by a third partyvendor, who sends us regular updates to that data (monthly).The original data for the table came in the form of a single, largetext file, which we imported.This table contains name and address information on potentialcustomers.It is a maintenance nightmare for us, as prior to this the largesttable we maintained was about 10 million records, with lesscomplicated updates required.Here is the problem:* In order to do the searching we need to do on the table it has 8 ofits 20 columns indexed.* It takes hours and hours to do anything to the table.* I'd like to cut down as much as possible the time required to updatethe file.We receive monthly one file containing 10 million records that arenew, and can just be appended to the table (no problem, simple importinto SQL Server).We also receive monthly one file containing 10 million records thatare updates of information in the table. This is the tricky one. Theonly way to uniquely pair up a record in the update file with a recordin the full database table is by a combination of individual_id, zip,and zip_plus4.There can be multiple records in the database for any givenindividual, because that individual could have a history that includesmultiple addresses.How would you recommend handling this update? So far I have mostlytried a number of execution plans involving deleting out the recordsin the table that match those in the text file, so I can then importthe text file, but the best of those plans takes well over 6 hours torun.My latest thought: Would it help in any way to partition the tableinto a number of smaller tables, with a view used to reference them?We have no performance issues querying the table, but I need somethoughts on how to better maintain it.One more thing, we do have 2 copies of the table on the server at alltimes so that one can be actively used in production while we runupdates on the other one, so I can certainly try out some suggestionsover the next week.Regards,Warren WrightDallas
I have a requirement to delete 1 Million records from a table having 10 Million data and it's being queried on 24/7 basis (don't have a downtime). how can I achieve that?
Hi all, I am trying to create a table of counts but it is running too long and would be a waste of paper so in essence I want the table to wrap at the 50% mark. As far as I understand theres no way to do that with just one table in RS so Im planning on using two tables and filtering them somehow.
I have been looking at the top % and bottom % filters but they dont seem to work for my purposes.
Heres what I got:
Program Count
Program 1 40
Program 2 25
Program 3 23
Program 4 18
Program 5 10
Program 6 5
Program 7 1 Heres what I want to do:
Program Count
Program 1 40
Program 2 25
Program 3 23
Program 4 18
Program Count
Program 5 10
Program 6 5
Program 7 1
gte 50% lt 50% Does anyone know an easy way to split a data set by group at the 50% mark?
How to backup half of dbs from a server on C drive and the other half on D drive and vice versa, first half on D drive and other half On C drive using only one job and one stored procedure??
Using scheduling from job add 2 schedules to the job so first schedule backup first half to C and second half to D , the second schedule backup first half to D and second half to D.
Hi guys, may I know is it possible to create an update trigger like this ? Assuming there are two database, database A and database B and both are having same tables called 'Payments' table. I would like to update the Payments records on database A automatically after Payments records on database B had been updated. I can't use replication because both tables might having different records and some records are the same. Hope can get any assistance here, thank you.
i have a directory database with approx. 80 million records. i am feeding the database with bulk_insert. Indexing one of the fields took about 8 hrs. After indexing when i run queries with the indexed field the response time is under 1 sec. However if i run select queries with like on non-indexed fields it takes more than 2 mins. So i decided to index 4 other fields in the database and it looks like the indexing process is going to run for 2 days. i am a novice in SQL database design and i am not sure if this is the best way to index the table. i am just using create index. Any suggestions / advice welcome.
I come from a web based world were loading 1.5 million records into a temp table is suicide. I’m doing more data warehouse stuff now and I was looking into optimizing a buddies proc and noticed he was loading 1.5 million records into a temp table. We had a discussion about it because being from a web world I was drastically against it. He on the other hand didn’t feel it was an issue being it gets called once maybe twice a day. The tempdb is set to autogrow and it is on a different drive than all the other databases on the box. It has one ldf and mdf. He’s creating an index on the table after load. Why we shouldn’t be loading 1.5 million recs into temp table?
i need to design a database table which will store supplier's demand information. 1 supplier will probably have 10000 records and there are posibility that there are 10,000 suppliers. So, in total, the number of records will be 10000 * 10000 = XXXXA LOT XXXX which will be very large number of record to be inserted into a table. So, how can i design an table and structure to cater this scenario? Thanks.
I'm looking for some performance assistance on updating a column value in a table that contains approximately 50 million rows. I have a permanent table in another database that has the key column and value to be set. My query is listed below, but I'm afraid it will run quite awhile. Any suggestions would be appreciated.
update mytable set column2 = b.column2 from mytable as a join mytable1 as b on a.column1 = b.column1
There is a one to one relationship between the two tables.
I am trying to update a large table which consists of 45 million records , it is taking more than 2 days to the update , below is my approach
1. The table has only one clustered index and no other indexes on the table. 2. I am updating in batches say 20000 record-wise. 3. Changed the recovery mode to bulk logged and auto-growth size is set to 300MB and there is enough space in my disk for transaction log .
My environment is SQL 2000. I have a table with 500 million rows. The table is consistently getting updated and inserted. I can not take the table offline. My clustered index needs to be rebuilt due to decreased performance. How do I accomplish this?
DELETING 100 million from a table weekly SQl SERVER 2000Hi AllWe have a table in SQL SERVER 2000 which has about 250 million recordsand this will be growing by 100 million every week. At a time the tableshould contain just 13 weeks of data. when the 14th week data needs tobe loaded the first week's data has to be deleted.And this deletes 100 million every week, since the delete is taking lotof transaction log space the job is not successful.Can you please help with what are the approaches we can take to fixthis problem?Performance and transaction log are the issues we are facing. We trieddeletion in steps too but that also is taking time. What are thedifferent ways we can address this quickly.Please reply at the earliest.ThanksHarish
I intend to develop a web based application, which uses SQL server 2005 at back end and Visual studio 2.0 as front end.
Application serves two functionalities
Requirement1: It carryout a search (In SQL server) for a particular name entered from front end .net application against a huge DataBase of size about 1 million records.
Scenario: The above requirement can be complemented by following example
Consider we have a bank database which has its existing customer DataBase having containing attributes like Name, Age, and Profession e.t.c.
Now if some new customer want to open a new account in bank, then bank officials want to know whether the
new customer is one of the existing customer or not(without asking to customer itself).
System should be able to detect the combination of name also i.e if we enter "Jhon" from front end .net interface
then application should be able generate all list of all customer having "Jhon" as part of their name at any location(firstname, middlename, lastname).
Requirement 2: If some time change is detected in bank's extisting customer's DataBase then each record of this DataBase is searched against a external dataBase(having almost 2 -3 million records).
Scenario: The above requirement can be complemented by following example
If new user is added to bank's existing customer database(database change) then this new updated database's every record is serarched against another bank's database.
I would like to hear experts voice for database design of such application for optimal performance,and types of searches I should look for application.
I am doing a performance testing for In-memory option is sql server 2014. As a part I want to insert 500 million rows of records into a in-memory enabled test table I have created.
I need a sample script to insert 500 million records into a table ....
Can anyone help me on this... when i select data from table using select statement it takes huge amount of time....The table contains 7 million entries and when i select by mentioning a criteria it takes around 45 secs..The system has 4GB RAM and Dual Processing CPU. The select statement does not contain any grouping and all..
Will it take this much time to retrieve data.?. The table does include an indexed field, So can anyone help me on the different things i can do to make the retrieval faster?
Got a question here and as I am no expert programmer, this should be easy for you gurus. I have this fairly generic code I've created where I return data from an SQL table in a DataList control. I want to take it to the next level and return only the last record in the table, but I am unsure of how to do that. Perhaps I shouldn't even be using a DataList control, I'm not sure.
I have a row that is being used log track plays on our website.
Here's the table:
CREATE TABLE [dbo].[Music_BandTrackPlays]( [ListenDate] [datetime] NOT NULL DEFAULT (getdate()), [TrackId] [int] NOT NULL, [IPAddress] [varchar](20) ) ON [PRIMARY]
There's a CLUSTERED INDEX on ListenDate ASC and a NON CLUSTERED INDEX on the TrackId.
I have a TRIGGER on the Music_BandTrackPlays table that looks like the following:
CREATE TRIGGER [trig_Increment_Music_BandTrackPlays_PlayCount] ON [dbo].[Music_BandTrackPlays] AFTER INSERT AS UPDATE Music_BandTracks SET Music_BandTracks.PlayCount = Music_BandTracks.PlayCount + TP.PlayCount FROM (SELECT TrackId, COUNT(*) AS PlayCount FROM inserted GROUP BY TrackId) AS TP WHERE Music_BandTracks.TrackId = TP.TrackId
When a simple INSERT statement is done on the Music_BandTrackPlays table, it can take quite a long time. When I remove the TRIGGER the INSERTs are immediate. The Execution plan for the TRIGGER shows that a 'Inserted Scan' is taking up most of the resources.
How exactly is the pseudo 'inserted' table formed?
For now, I think the easiest thing to do is update my logging page so it performs 2 queries. One to UPDATE the Music_BandTracks table and increment the counter, and perform the INSERT into the Music_BandTrackPlays table seperately.
I'm ok with that solution but I would really like to understand why the TRIGGER is taking so long. The 'inserted' pseudo table will be 1 row 99% of the time. Does SQL Server perform a table scan on all 20 million rows in order to determine what's new and put it in the inserted pseudo table?
I have two tables in my database: order_id with fields order (text) and comp_ID (int) and another table called customers with comp_ID (int) and company name (text) and other company information fields. The link between the two tables is the comp_ID. With every order that's made the company that made the order is stored with it in the order_id table. If I type in the order id (text), I want to be able to use the order id to search the order_id table and find out what the comp_ID of the company that made that order is. Then use that comp_ID to pull up the record of company information from the customers table with the same comp_ID. Is there some way to do this in one query? Or how do I accomplish this?
In my main database table I have many fields but the two following fields are my main concern.
1) email_address
2) unsubscribe
In my secondary database table I have one record only.
1) email_address
What I want to accomplish... I want to compare the email_address of the secondary database table to the email_address of the main database table and if it exist, change the value of the unsubscribe field. (or if I can't do that, then delete the record within the main database table completely.)
,I am creating a database where each record is required to have a twin record in the database.These is a type a value and a type b value and both must be present for the record to be valid.
Customer_ID, Order_Type, Product_Code 54, a, 00345 54, b, 00356
Is this something that would have to be done programmatically, or is it possible to create a constraint of some sort to ensure this?
IF NOT EXISTS (SELECT TOP 1 1 FROM dbo.syscolumns WHERE id = OBJECT_ID(N'dbo.Employee) and name = 'DoNotCall') BEGIN ALTER TABLE [dbo].[Employee] ADD [DoNotCall] bit not null Constraint DoNot_Call_Default DEFAULT 0 IF ( @@ERROR <> 0 ) GOTO QuitWithRollback END
It just takes a LOT of time in SQL Server Management studio. I have to cancel the query and cancelling takes a whole lot time. I am using SQL Server 2008.
I am creating a simple application form using visual studio 2015. I can create database.mdf successfully and create dbo.table successfully. but when i tried to view table by expanding the table icon on the server explorer, the table should be able to show list of table but it didn't show any record and why is it like that.
I need to use Bulk insert statement for copying a table with 200 million rows to another table on the same server...the table has no primary key or identity column.... script for BULK INSERT ...
Hi I have a table with a user column and other columns. User column id the primary key.
I want to create a copy of the record where the user="user1" and insert that copy in the same table in a new created record. But I want the new record to have a value of "user2" in the user column instead of "user1" since it's a primary key
