I'm populating a table (B) in SQL Server from a Staging table (A) using a stored procedure.At any point of time, the Staging table holds 60 months' old data.In the first load of the destination table B, I get 13 months of old data whereas for every subsequent load,I need to load the data for the most recent month and delete data for the 1st(oldest) month. For example, if the load procedure runs on December 02,2006, it should pick data for the month of November,2006 from the Staging table and delete data for the 1st month.
I have a column DATA_MONTH_KEY in table B which maps to the column DATA_MONTH in my staging table A. I get the data for the first 13 months using:
(B.DATA_MONTH_KEY BETWEEN ( DATEADD(month,-13,@startdate)) AND @startdate) where startdate is the current date on which the procedure for populating table B is run. I get the value of startdate from a function.
How do i get data for the most recent months and delete the oldest month in subsequent loads?
Hello, Maybe anyone have done that before? I have table where i store SOURCE_TABLE_NAME and DESTINATION_TABLE_NAME, there is about 120+ tables. i need make SSIS package which selects SOURCE_TABLE_NAME from source ole db, and loads it to DESTINATION_TABLE_NAME in destination ole db.
I made such SSIS package. set ole db source data access mode to table or view name variable. set ole db destination data access mode to table or view name variable. set to variables defoult values (names of existing tables) but when i loop table names is changed, it reports error, that can map columns, becouse in new tables is different columns.
Scenario: We want to stage all data coming into our database from various applications. We have a generic control where all data goes through to get to the database.
We want have the data staged in a 'staging database'. My question is, what would be the best way to store the staging database in the database.
I'm thinking storing it as XML in a SQL column. The reason for this is because the data could change from application to application. It would be impossible to create a relational table because maintenance would be a nightmare.
Has anyone ever done something like this. Would you save the node names in another table in SQL?
I am extracting source data which is in txt fille to OLE DB destination. But data of each day I want to save in different staging table. For Eg; tblProduct20081206, tblProduct20081207. How can it be done. I have seen lots of posting and script when destination is Txt. I want to use same table for staging but want to create different table for each day with adding date extension.
I have a question about staging design using SSIS. Has anyone come up with an ETL design that would read table names from a generic table and dynamically create the ETL to stage the table.
1. Have a generic table which would have table name and description and whatever else that was required.
2. Have a master ETL that would enumerate through the table and stage all the table names found in the generic table.
This way I wouldn't have to create an ETL which would hardcode the names of 300-500 tables and have the appropriate 300-500 data sources and targets listed.
Not sure if I am making sense but I hope someone understands the attempt.
I'm trying to use Excel in SSIS to import the data from spreadsheet to a staging table. The package runs well from the web server using SSMS. But when I deploy and try to execute the package, I'm getting the below error. I've a question, whether I've to install the AccessDatabaseEngine driver in SQL database server or the web server where I'm executing the SSIS?
Error: The requested OLE DB provider Microsoft.Jet.OLEDB.4.0 is not registered. If the 64-bit driver is not installed, run the package in 32-bit mode.
I apologize if this has been asked, but I can't find a complete answer.
We have a situation with parent/child tables which have an identity column as their PK. We need to be able to insert into the live tables from staging tables. The data in the staging tables are related via a surrogate key.
I have found the OUTPUT clause, but that can only refer to columns of the actual table (since there is no FROM clause in an INSERT). Our current best solution to this problem involves adding bogus "staging" columns to the destination tables, and removing them after we've inserted everything from staging. This is an unattractive solution to say the least.
I'll give an example that mirrors our actual solution, and ask if anyone has a better solution? ----------
Code Snippet CREATE TABLE [dbo].[TABLE_A]( [ID] [int] IDENTITY(1,1) NOT NULL, [DATA] [nchar](10) NOT NULL, [STAGING_COLUMN] [bigint] NULL, CONSTRAINT [PK_TABLE_A] PRIMARY KEY ([ID] ASC) ) GO CREATE TABLE [dbo].[TABLE_B]( [ID] [int] IDENTITY(1,1) NOT NULL, [A_ID] [int] NOT NULL, [DATA] [nchar](10) NOT NULL, [STAGING_COLUMN] [bigint] NULL, CONSTRAINT [PK_TABLE_B] PRIMARY KEY ([ID] ASC) ) GO ALTER TABLE [dbo].[TABLE_B] ADD CONSTRAINT [FK_TABLE_A_TABLE_B] FOREIGN KEY([A_ID]) REFERENCES [dbo].[TABLE_A] ([ID]) GO CREATE TABLE [dbo].[STAGE_TABLE_A]( [A_Key] [bigint] NOT NULL, [DATA] [nchar](10) NOT NULL ) GO CREATE TABLE [dbo].[STAGE_TABLE_B]( [B_Key] [bigint] NOT NULL, [DATA] [nchar](10) NOT NULL, [A_Key] [bigint] NOT NULL ) GO
The STAGING_COLUMN columns are the ones that will be added before, and dropped after.
Code Snippet DECLARE @TABLE_A_MAP TABLE ( A_ID INT, A_Key BIGINT ) INSERT INTO TABLE_A (DATA, STAGING_COLUMN) OUTPUT INSERTED.ID, INSERTED.STAGING_COLUMN INTO @TABLE_A_MAP SELECT DATA, A_Key FROM STAGE_TABLE_A INSERT INTO TABLE_B (A_ID, DATA) SELECT TAM.A_ID, STB.DATA FROM STAGE_TABLE_B STB INNER JOIN @TABLE_A_MAP TAM ON TAM.A_Key = STB.A_Key
This seems to work, but I'd really like another alternative. Even though this is happening when nobody else is using the database, I cringe at the thought of adding and removing columns just to make this work.
Here are a few of my constraints:
The above is a simplification of the actual problem. The actual problem goes about five levels deep (hence the B_Key in STAGE_TABLE_B). At the top level, our larger customer will have 100,000 rows to insert. Each level will average 3 times as many rows as the next higher level, so we're talking about real volumes here.
This has to finish over the course of a weekend.
This has to be delivered to QA this Friday Thanks for any help or insight.
I am working on an HR project and I have one final component that I am stuck on.
I have an Excel File that is loaded into a folder every month.
I have built a package that captures the data from the excel file and loads it into a staging table (transforming a few bits of data).
I then combine it with another table in a view.
I have another package that loads that view into a Master table and I have added a Slowly Changing Dimension so that it only updates what has been changed. (it’s a table of all employees, positions, hire dates, term dates etc).
Our HR wants to have this data in a report (with charts and tables) and they wanted it to be in a familiar format. So I made a data connection with Excel loading the data into a series of pivot tables.
I have one final component that i cant seem to figure out. At the end of every year I need to capture a count of all Active Employees and all Termed employees for that year. Just a count.
The data is in one table labeled [EEMaster]. To test the count I have the following.
SELECT COUNT([PersNo]) AS HistoricalHC FROM [dbo].[EEMaster] WHERE [ChangeStatus] = 'Current' AND [EmpStatusName] = 'Active'
this returns the HistoricalHC for 2013 as 418.
SELECT COUNT([PersNo]) AS NumbOfTermEE FROM [dbo].[EEMaster] WHERE [ChangeStatus] = 'Current' AND [EmpStatusName] = 'Withdrawn' AND [TermYear] = '2013'
This returns the Number of Termed employees for 2013 as 42.
I have created a table to report from called [dbo.TORateFY] that I have manually entered previous years data into.
I need to copy data from warehouse tables to master tables of different SQL instances. Refresh need to done once in an hour. What is the best way to do this? SQL agent jobs or SSIS packages?
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.
What is the best way to transfer data from the staging table into the main table.
Example: Staging Table Name: TableA_satge (# of rows - millions) Main Table Name: TableA_main (# of rows - billions)
Note: Staging table may have some data same as the main table.
Currently I am doing: - Load data into staging table (TableA_stage) - Remove any duplication of rows from the staging table (TableA_stage) - Disable all indexes on main table (TableA_main) - Insert into main table (TableA_main) from staging table (TableA_stage) - Remove any duplication of rows from the main table using CTE (TableA_main) - Rebuild indexes on main_table (TableA_main)
The problem with the above method is that, it takes a lot of time and log file size grows very big.
I am trying to insert bulk data into main table from staging table in sql server 2012. If any error comes, this total activity is rollbacked. I don't want that to happen. I want to know the records where ever the problem persists, and the rest has to be inserted.
I'm using Script Component to load data into Oracle DB due to the poor performance issue. Now, I found it will missing some data during the transmission. Please see the screenshot below:Â
I am getting ErrorCode 8 while loading the data from stage to model. I have checked my error view it states that "Member Code is Inactive".
Initially I have loaded same set of data in Model from MDS Stage table but then deleted with ImportType = 5 which removed all the data from the MDM model.
Now i want to load it back but its giving the Error Code 8 .. Before loading the same data i have changed the stage table Importtype to 2 and Importstatusid to 0.
Hi, all experts here, Do we always have to use SCD component for the loading of data into data warehouse to handle changes of rows? I am looking forward to hearing from you and thank you very much in advance for your help. With best regards,
Hi i am trying to do a straight forward load from a Flatfile source , i have defined the columns according to the lenghts defined in the Data Dictionary Provided but when i am trying to run the Task i am encounterring this error
The column data for column "Column 20" overflowed the disk I/O buffer.
I tried to add another column 21 at the end and truncate or leave that column unmapped to destination but the same problem occurs for column 21 what should i do to over come this .
In case of Bad Data how to clean up the source.. Please help me with this
Hello!! searching information about how to migrate some date from an old data base (any tipe) from SQL I´v found this: LOAD DATA [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name.txt' [REPLACE | IGNORE] INTO TABLE tbl_name [FIELDS [TERMINATED BY 'string'] [[OPTIONALLY] ENCLOSED BY 'char'] [ESCAPED BY 'char' ] ] [LINES [STARTING BY 'string'] [TERMINATED BY 'string'] ] [IGNORE number LINES] [(col_name_or_user_var,...)] [SET col_name = expr,...)] Does anybody know how does it works and how to use it????I´d like to know because I have to load data from a text file to a SQL Data Base and this seems to be te fastest an easiest way to do it...Thanks!!!!bye!
The project is a C/S data analysis system built with .Net 2.0 in windows environment, OS: Microsoft Windows 2003 R2 standard Edition Service Pack2, Database used in this project is: Sql server 2005. As a data analysis system, we need to load large amount of data from file to database, we do it by create a dts package and then do data loading by execute "m_Package.Execute(null, variables, m_PackageEvents, null, null)".
The problem is, we fount that DTS miss some data randomly sometimes, we can't find the rule till now. for example we've data as follows in data file, all data field splited by '|' 11234|26341|2007-09-03 00:00|0|0|0.0|0|0.011470833793282509|1|0.045497223734855652|0|0|1|0|3|2929|13130|43|0|2|0|0|40|1|0|0|0|0|0|1||0|0|3|0|0|0|0|0||0|3|0|0|43|43|0|41270|0|3|0|0|10|3|0|0|0|0|0||0|1912|0|0|3|0|0|0|0|0|0|0|3|0|0|5|0|40|0|9|0|0|0|0|0|0|0|0|29|1|1|24|24.0|16|16.0|0|0|0.0|0|0|24|23.980693817138672|0|0.0|0|0.0|0|0.0|0|0.0|11|2.0764460563659668|43|2|0|0|30|11|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|3|3|0|0|0|0|0|0|0|0|0|6|0|0|0|0|0|6|0|0|45|1|0|0|0|2|42|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2|0|0|0|2|0|0|0|0|0|0|51|47|85|0|0|||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|||||||||||||0|0|0|0|0|97.117401123046875|0|0|83|57|||0.011738888919353485|0|1|0.065955556929111481|0|4|||0.00026658669230528176|1|0.00014440112863667309|1|68|53|12|2|1|2.0562667846679688|10|94|2|0|0|30|11|47|4|13902|7024|6878|18|85|4.9072666168212891|5|0.0|0|0.0|0|0.0|0|0.0|0|358|6448|6324|0|0|0|0||0||462|967|0|41|39|2|0|0|0|1|0|0|0|0|0|0|0|0|3|0|0|3|0|0|0|0|0|0|0|0|0|3|0|3|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|46|0|1|0|1|37|0|0|46|0|1|0|1|37|0|0|0|0|0|0|0|0|0.0|0|0|6|4|2|0|0|2|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|1|0.012290795333683491|0|44|44.0|0|0.0|0|0|0|30|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2|0|2|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|27|0|0|2112|411|411|45|437|2|0|2|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|4|0|4|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|6|6|0|3|2|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|5|5.0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|600|600|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|6|0|0|0|0|0|0|6|0|9|1|2|2|3|0|1|0|0|0|0|0|0|0|0|0|0|0|13|3|2|5|1|1|1|0|0|0|102|0|1|1|0|0|0|3|3|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||0|0|0|0|0|0|0|0|0|0|0||0|0|0|0|0|0|0|0|0||||||||||0|0|0|0|0|0|0||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|46.0|46|0.0|0|0.0|0|0.011469460092484951|1|0.0|0|0.0|0|3|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|0.0|0|0|0|0|0|0|0|0|0|0|0|0|0|||0|100.0|100.0|0|1|0|1|0|0|0.02481505274772644|1|0.014951236546039581|1|0|0|0|0|0|0|0|0|0|0|0|0|0|||||||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|||0|||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|4695.5556640625|42260|7126.66650390625|62040|||||||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||||||0|0||||||||||
We found that some of the data field become 'null' after the load action finished, if we load the same data again, problem disappeared, we can't 100% reproduce this issue each time, we don't know why, Anybody here can help us to solve this issue or give us some clue?
I have a package which loads data from a flat file (csv) to 4 tables in a database. Now, the load is incremental.
I want to clear the data of all 4 tables(in the database) before loading the data from flat file everytime.How can i do this? Iam using 4 Oledb Destinations, 1 multicast, 1 source component to do this. Also can it happen like a transaction? because if it deletes the existing data and couldnt load new data there will be a problem!.how to avoid this?
Hi, I am loading Data from Mainframe to SqlServer on WinNt. Normally it was taking 35 mts do the dts job. on last two days it runs for more then six hours still the job doesnt get over. I am at a loss to know what to do and how to fix this problem. THe main frame ppl said sqlServer is fetching the data very slowly. If anyone knows the solution pl post a solution
What is the best way to load large amounts of data? I am working on a project where I will need to load data into approx. 20 tables. Into several of the tables I will need to load around 400,000 records. I am familiar with the concepts involved in using BCP but was hoping I could avoid the step of going to text files. I am pulling data from Access (either 97 or 2000). Any suggestions would be welcome.
I have an xml file I want to use as the source. It's not overly complicated, but not simple either. It has one hierachy, and one optional field and looks like this
a
1 'text'
2 'text'
b
1 'text'
2 'text' 'optional field'
Ok, now I want the data to load like this:
a,1,text
a,2,text
b,1,text
b,2,text, optional field
but when I try to use the xml source it won't create the xsd...anything I can do?
I am trying to enhance an existing package that actually does the xml to table load, this packge is using a script component to parse and load the xml file into multiple tables (3 tables) using VB.net code, I want to add a component to it where if there are any xml rows that are erroring out , they get redirected to a different table, this log table is having only one column and the xml records are supposed to be loaded into this column in XML format. this is the existing design and I have to live with it and at the same time I am not a big .net coder, any help is appreciated.
I have been developing a genealogy application using a SQL Server 2000 database and ASP .NET 2.0. In this application a process, Ged.Parse, converts data from the GEDCOM standard format (a heirachical file format that looks as if it was designed for 80-column cards) into my SQL Server database. As we started to load reasonable quantities of data into the system we found that the on-line response became abysmal. This problem was fixed by defining a number of secondary indexes (response times dropped to under a second, from previously exceeding 2 minutes and often timing out). Unfortunately however the processing time of Ged.Parse then tripled, and it may now take up to an hour to process a GEDCOM. I believe that this is a byproduct of defining several indexes that are not needed by Ged.Parse itself, but which are of course maintained as Ged.Parse inserts new records into the database. I am wondering what my best strategy is, apart from putting Ged.Parse into a background task and just letting it trickle away. (I will probably do this anyway). What I'd like to be able to do is to have Ged.Parse load records without creating the secondary indexes, and then create the indexes for the newly-added records as a penultimate step just before it makes them available for general use. Of course there is no way that you can do this: records in a table are either indexed or they are not. Proposed change: recode Ged.Parse to load data into temporary tables, say NewPeople, NewFacts, etc., with these tables having only the indexes required by Ged.Parse. Then, as the last process in Ged.Parse run a SQL procedure with code like: - Insert into People Select * From NewPeople Delete from NewPeople etc This is a reasonable amount of programming, so before I make this change could somebody tell me: will this be significantly faster overall, or is this likely to make little or no improvement compared to the present process in which Ged.Parse loads data directly into People, Facts, etc? Two facts that may influence the answer. First, all record relationships are through GUIDs, so records in NewPeople, NewFacts, etc would already have their final key values. Second: although Ged.Parse needs to form relationships between records, these relationships are only within the new records (created from the same GEDCOM), and Ged.Parse does not need to relate any of these new records to earlier records. Thank you, Robert Barnes.
Hi! I need to load text data into SQL7. The tricky part (at least for me) is that this data may be duplicated. How can I load this data discarding the duplicated rows? AFAIK, the sql job (or DTS) will fail if a primary key is violated. TIA, Fabio Aneas
Using SQL Server 7.0, I need to watch for a file to be placed in a directory and then load it automatically. What is the best way to do this? I have the Bulk Insert process set up in DTS and would like to just add another process if possible.
I am new at SQL and I have been asked to load some data into a database. I was given a file that has an extention .sql. shown below are the first few lines
This looks to me like it was built to be scripted in or use some function of SQL to create and populate the table... does that make sense? Anyway, is there an easy way to insert this data into a table?
Hi, I created a package to load a fact table which loads more than 7 million records. When loading the table it took nearly 15 minutes. Then indexes were created for the table at the DB level after which the time to load same number of records has increased. How to resolve this time delay?
