I have a very large table stored in SQL Server and I now want to transfer this table to the Netezza system. Do I need to use SSIS in order to accomplish this task?
Before this, I've only had to use Aginity to load tables that were stored on the network and not in a server to Netezza, so loading from another server is new to me. Can someone guide me in the right direction please?
I would unload to a file in UNIcode format and load to Netezza with an external table. Just remember to change all string datatypes to nvarchar unless you are 100% English in your data (not likely these days)
I know it sounds 1980 but it’s (still) the most performant and reliable method
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I'm copying about 200 tables from Oracle to SQL Server using SSIS. Right now, the basic package template follows this logic:
Get time
Truncate table
Load data and get row count
Record table name, row count, and time to log table.
Currently, I copy and paste the package and change the data flow. Is there a better way to do this? I know SSIS is metadata driven, but doing 200 tables like this is a little ridiculous. And if my boss wants me to change something in the template then I get to do it all over again. Is there a way to loop through tables? I would just use linked servers in SQL Server but since we have SQL Server Enterprise I'm able to use the Attunity connectors and they are much faster.
Any help would be appreciated. It seems like there must be a better way but I'm not familiar enough with SSIS to really know what to ask for.
I am working on a project which migrates databases from Oracle 10g to SQL Server 2008 using SSMA(SQL SERVER MIGRATION ASSISTANT). I want to know if there is a way to actually compare the data in tables that resides on a table space say 'A' on ORACLE with the corresponding migrated database 'A' on SQL SERVER.
I am not bothered about the data types of various columns right now.If there is a way to map it then it will be great. I am just concerned with the data difference if any that exists.
Let me know if you are aware of any such free tool which does so, or any of you have written a tool which can help me out to do the same.
Thanks !!
You will have to map the PK from the source to the destination and if the colu,ns are the same, fetch a bulk and compare...
Lots of hard work.
Maybe it will be better if you could count rows and verify a statistic group of records.
I'm not a good SQL programmer, I've got only the basics, but I've heard of some BCP thing for fast data loading. I've searched the internet and it seems to be a command-line only utility, and not something you can use in code.
The thing is, I want to be able to make very fast inserts and updates in a SQL Server 2008 database. I would like to have a function in the database that would accept:
The name of the table I want to execute an insert/update operation against
The names of the columns I'll be feeding data to
The data in a CSV format or something that SQL can read stupid-fast
A flag indicating weather the function should perform an insert or update operation
This function would then read this CSV string and genarate the necessary code for inserting/updating the table.
I would then write code in C# to call that function passing it the table name, column names, a list of objects serialized as a CSV string and the insert/update flag.
As you can see, this is intended to be both fast and generic, suitable for any project dealing with large amounts of data, and thus a candidate to my company's framework.
Am I thinking right? Is this a good idea? Can I use that BCP thing, and is it suitable to every case?
As you can see, I need some directions on this... thanks in advance for any help!
In C#, look at SQLBulkCopy. It's what SSIS uses in the background.
For true bcp/BULK INSERT, you'd need bulkadmin rights which may not be allowed
Have you considered using SQL Server Integrated Services (SSIS). It's designed to do exactly what you describe. It is very fast. You can insert data on a transactional basis. And you can set it up to run on a schedule. And much more.
I'm faced with needing access for reporting to some data that lives in Oracle and other data that lives in a SQL Server 2000 database. For various reasons these live on different sides of a firewall. Now we're looking at doing an export/import from sql server to oracle and I'd like some advice on the best way to go about it... The procedure will need to be fully automated and run nightly, so that excludes using the SQL developer tools. I also can't make a live link between databases from our (oracle) side as the firewall is in the way. The data needs to be transformed in the process from a star schema to a de-normalised table ready for reporting.
What I'm thinking about is writing a monster query for SQL Server (which I mostly have already) that will denormalise and read out the data from SQL Server into a flat file using the sql server equivalent of sqlplus as a scheduled task, dump into a Well Known Location, then on the oracle side have a cron job that copies down the file and loads it with sql loader and rebuilds indexes etc.
This is all doable, but very manual. Is there one or a combination of FOSS or standard oracle/SQL Server tools that could automate this for me? the Irreducible complexity is the query on one side and building indexes on the other, but I would love to not have to write the CSV dumping detail or the SQL loader script, just say dump this view out to CSV on one side, and on the other truncate and insert into this table from CSV and not worry about mapping column names and all other arcane sqlldr voodoo...
best practices? thoughts? comments?
edit: I have about 50+ columns all of varying types and lengths in my dataset, which is why I'd prefer to not have to write out how to generate and map each single column...
"The data needs to be transformed in the process from a star schema to a de-normalised table ready for reporting."
You are really looking for an ETL tool. If you have no money in the till, I suggest you check out the Open Source Talend and Pentaho offerings.
I am tasked with exporting the data contained inside a MaxDB database to SQL Server 200x. I was wondering if anyone has gone through this before and what your process was.
Here is my idea but its not automated.
1) Export data from MaxDB for each table as a CSV.
2) Clean the CSV to remove ? (which it uses for nulls) and fix the date strings.
3) Use SSIS to import the data into tables in SQL Server.
I was wondering if anyone has tried linking MaxDB to SQL Server or what other suggestions or ideas you have for automating this.
Thanks.
AboutDev.
I managed to find a solution to this. There is an open source MaxDB library that will allow you to connect to it through .Net much like the SQL provider. You can use that to get schema information and data, then write a little code to generate scripts to run in SQL Server to create tables and insert the data.
MaxDb Data Provider for ADO.NET
If this is a one time thing, you don't have to have it all automated.
I'd pull the CSVs into SQL Server tables, and keep them forever, will help with any questions a year from now. You can prefix them all the same, "Conversion_" or whatever. There are no constraints or FKs on these tables. You might consider using varchar for every column (or the ones that cause problems, or not at all if the data is clean), just to be sure there are no data type conversion issues.
pull the data from these conversion tables into the proper final tables. I'd use a single conversion stored procedure to do everything (but I like tsql). If the data isn't that large millions and millions of rows or less, just loop through and build out all the tables, printing log info as necessary, or inserting into exception/bad data tables as necessary.