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 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?
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?
I'm quite new to T-SQL and is about to build a small reporting db using SQL. Most of the data I can move with normal INSERT INTO ... SELECT, but there are some tables that I want to produce using T-SQL. For example I want to build a Date table like..
Date Year Quarter Month WeekDay ...
With some precalculated values for each date.
I've searched the forum but have not found any information on how to produce table contents in a good manner. I would appreciate if someone would have the time to point me in the right direction. I do not want to do this by code in my application.
My first thought is to use some kind of Insert Cursor in a While loop...
Pseudo: --------------------- declare cursor ex for 'Insert table ... '
while begin
(produce data) insert data end
close cursor ---------------------
While browsing the net I've got the feeling that you use cursor less in SQL Server than in other db-engines...
I'm new to using a DB and have a few questions about what I'm trying to do. I have some historical options data and want to place it into a sql express database. (I understand I might need to use a none express version once the db gets to big.) A months worth of data is over 5.5 million rows of data. So six years worth is ~400 million rows. Is it possible to put this into a sql db and be able to search it very fast? I have a months worth in a db now and it is pretty slow. Should I use a new table for each month and then have 6 years * 12 month = 72 tables to increase the search speed? I search by date and stock_symbol and the data looks like this: Date, Stock_Symbol, Option_Symbol, Strike, BidPrice, AskPrice, Volume, OpenInterest, (and a few others) The select statement is simple: SELECT * FROM Options WHERE Date = @Date and StockSymbol = @Symbol Thanks
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.
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 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. Any help is deeply appreciated. Bill
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'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?
I have a C# app linked to a SQL db and I need to store it's version number in a table (could be something like 1.2.789) but I cannot find any datatype which allows me to do this.
I could create three fields in the table for each number but I don't want to.
I have one table Emp_MAster with two column ID-Sup_Id. I need to create a table where i can store data link this
Id-Hreid
Only difference is that I need to store data in an hierarchy view so Emp 1 is reporting to Emp2 and Emp2 is reportign to Emp3 so in new table I should get
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 am a starter of vb.net and trying to build a web application. Do anyone know how to create a temp table to store data from database? I need to extract data from 3 different tables (Profile,Family,Quali). Therefore, i need to use 3 different queries to extract from the 3 tables and then store it in the temp table. Then, i need to output the data from temp table to the screen. Do anyone can help me?
Sorry for the confusing subject. Here's what im doing:I have a table of products. Products have N categories andsubcategories. Right now its 4. But there could be more down theline so it needs to be extensible.So ive created a product table. Then a category table that has manycategories of products, of which a product can belong to N number ofthese categories. Finally a ProductCategory "match" table.This is pretty straigth forward. But im getting confused as to how towrite views/sprocs to pull out rows of products that list all theproducts categories as columns in a single query view.For example:lets say productId 1 is Cap'n Crunch cereal. It is in 3 categories:Cereal, Food for Kids, Crunchy food, and Boxed.So we have:Product----------------1 Capn CrunchCategories-----------------1 Cereal2 Food for Kids3 Crunchy food4 BoxedProductCategories------------------1 11 21 31 4How do I go about writing a query that returns a single result set fora view or data set (for use in a GridView control) where I would havethe following result:Product results---------------------------------ProductId ProductName Category 1 Category 2Category 3 Category N ...------------------------------------------------------------------------1 Capn Crunch Cereal Food for Kids Crunchy foodBoxedAm I just thinking about this all wrong? Sure seems like it.Cheers,Will
I am trying to create a sample table in the Azure SQL Data warehouse but its giving me a syntax error Incorrect syntax near the keyword 'CLUSTERED'.
CREATE TABLE [dbo].[FactInternetSales] ( [ProductKey] int NOT NULL , [OrderDateKey] int NOT NULL , [CustomerKey] int NOT NULL , [PromotionKey] int NOT NULL
CREATE TABLE [dbo].[DR_Test]( [source_item_id] [int] NOT NULL, [source_line_no] [int] NULL, [buyer_id] [int] NOT NULL, [seller_member_id] [int] NULL,
[code]...
the table contains more than 80 million records so when i fetch the data using buyer_id & timezone its taking lot of more than 1 hours or so....& where buyer_id is not unique.how to fetch the data fast or need to change the structure of the table
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 ....
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.
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?
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 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 ...
After the staging_temp data gets inserted into main table.my probelm is to handle such a file where number of columns are more than the actual table.
If you see the sample rows there are 4 column separated by "¯".but actual I am having only 3 columns in my main table.so how can I get only first 3 column from the satging_temp table.
I am trying to create a process that will take data source that has been output from a proprietary ISAM database to import into a SQL database. This particular ISAM system cannot be accessed via OleDB or ODBC. The thing is I want the process to be able to create the required tables based on data structure information that has been somehow encoded into the data source.
Currently the solution I am going with is to spit out a CSV file that has a header with table and data format information followed by rows of actual data that gets parsed by a SQL script however I am sure that Microsoft must have some kind of preferred solution to this kind of problem but I have not been able to find it. I have looked at the the tools that are available when creating a SQL Server DTS package as well as what seems to be available using the new Integration Services but nothing seems to be any better than the solution I just mentioned.
Anyone have any ideas, I am willing to bet there is a much better way of doing this.
Im doing a project using VS2k5 and sql server2k5. Its a mobile project and this is my first time working with SQL and Visual Basic. I need to know how to add data to my database from the windows form.I have however been able to use the tableadapters and some sql statements to read data from the database in my forms. Can anyone here help me?
