I have 2 Database in my VB.net application. I am using 1st database for daily operations. I would like to send one of the table records to online database. How Can I do that? First database is MSSQL Online database is MYSQL. I have created connections already using MYSQL .net connector.
Any Help will be appreciated.
Regards
Have a look at using a Linked Server instance on SQL Server to write the data to MySQL using the four name notation.
SQL SERVER – Explanation and Example Four Part Name
SQL Server Four-part naming
Ok here is a rough set of steps you need to follow
Query the MSSQL database and retrieve the data you want. Storing it in a DataTable may be the best option starting off.
Loop through the DataTable rows and build an INSERT statement that will be run against the MYSQL database.
Execute the command against the MYSQL db.
This is the basics of what you need to do to get a simple working system. Also take a look at Transactions as a way to manage the rollback of data when something goes wrong.
I'm assuming this is a research project If you are planning on using this code in a production system then i would look into a different alternative such as uploading data files to a service attached to the MYSQL database. This would allow you to batch and retry an import when something goes wrong.
Related
I have a fairly straight way to copy selective data using SQL like so:
# Courses
DROP TABLE db_node.courses;
CREATE TABLE db_node.courses LIKE db_prod.course_sis;
INSERT INTO db_node.courses SELECT
*
FROM
db_prod.course_sis
WHERE
db_prod.course_sis.enabled = 1
AND db_prod.course_sis.hidden <> 1;
This is easy when I am on the same server with the same db, however I want to run this SQL to get put the final data on the SQL Server.
This isn't just a once off thing, it would need to be handled every hour or so. I am unable to change db's, one will always be MySQL and SQL Server because the data is used in a sharepoint app.
Thanks
There are several third-party tools to make this transition easier.
Check out SSMA here and here.
I'd also look at SQL Studio scheduled tasks to automate the process.
I'm getting data from an MSSQL DB ("A") and inserting into a MySQL DB ("B") using the date created in the MSSQL DB. I'm doing it with simple logics, but there's got to be a faster and more efficient way of doing this. Below is the sequence of logics involved:
Create one connection for MSSQL DB and one connection for MySQL DB.
Grab all of data from A that meet the date range criterion provided.
Check to see which of the data obtained are not present in B.
Insert these new data into B.
As you can imagine, step 2 is basically a loop, which can easily max out the time limit on the server, and I feel like there must be a way of doing this must faster and during when the first query is made. Can anyone point me to right direction to achieve this? Can you make "one" connection to both of the DBs and do something like below?
SELECT * FROM A.some_table_in_A.some_column WHERE
"it doesn't exist in" B.some_table_in_B.some_column
A linked server might suit this
A linked server allows for access to distributed, heterogeneous
queries against OLE DB data sources. After a linked server is created,
distributed queries can be run against this server, and queries can
join tables from more than one data source. If the linked server is
defined as an instance of SQL Server, remote stored procedures can be
executed.
Check out this HOWTO as well
If I understand your question right, you're just trying to move things in the MSSQL DB into the MySQL DB. I'm also assuming there is some sort of filter criteria you're using to do the migration. If this is correct, you might try using a stored procedure in MSSQL that can do the querying of the MySQL database with a distributed query. You can then use that stored procedure to do the loops or checks on the database side and the front end server will only need to make one connection.
If the MySQL database has a primary key defined, you can at least skip step 3 ("Check to see which of the data obtained are not present in B"). Use INSERT IGNORE INTO... and it will attempt to insert all the records, silently skipping over ones where a record with the primary key already exists.
I am writing an SSIS package that has a conditional split from a SQL Server source that splits records to either be updated or inserted into a MYSQL database.
The SQL Server connection has provider .NET Provider for OldDB\SQL Server Native Client 10.0.
The MYSQL connection is a MYSQL ODBC 5.1 ADO.NET connection.
I was thinking about using the OLE DB Command branching off of the conditional split to update records but I connect use this and connect to the MYSQL database.
Does anyone know how to accomplish this task?
I would write to a staging table for updates including the PK and columns to be updated and then execute an UPDATE SQL statement using that table and the table to be updated. The alternative is to use the command for every row and that just doesn't seem to perform that well in my experience - at least compared to a nice fat batch insert and a single update command.
For that matter, I guess you could do without the conditional split altogether, write everything to a staging table and then use an UPDATE and INSERT in SQL back to back.
Probably, the following MSDN blog link might help you. I haven't tried this.
How do I UPDATE and DELETE if I don’t have an OLEDB provider?
The post suggests the following three options.
Script Component
Store the data in a Recordset
Use a custom component (like Merge destination component)
The author also had posted two other articles about MySQL prior to posting the above article.
Connecting to MySQL from SSIS
Writing to a MySQL database from SSIS
Hope that points you in the right direction.
I am trying to transfer bulk data on a constant and continuous based from a SQL Server database to a MYSQL database. I wanted to use SQL Server's SSMS's replication but this apparently is only for SQL Server to Oracle or IBM DB2 connection. Currently we are using SSIS to transform data and push it to a temporary location at the MYSQL database where it is copied over. I would like the fastest way to transfer data and am complication several methods.
I have a new way I plan on transforming the data which I am sure will solve most time issues but I want to make sure we do not run into time problems in the future. I have set up a linked server that uses a MYSQL ODBC driver to talk between SQL Server and MYSQL. This seems VERY slow. I have some code that also uses Microsoft's ODBC driver but is used so little that I cannot gauge the performance. Does anyone know of lightening fast ways to communicate between these two databases? I have been researching MYSQL's data providers that seem to communicate with a OleDB layer. Im not too sure what to believe and which way to steer towards, any ideas?
I used the jdbc-odbc bridge in Java to do just this in the past, but performance through ODBC is not great. I would suggest looking at something like http://jtds.sourceforge.net/ which is a pure Java driver that you can drop into a simple Groovy script like the following:
import groovy.sql.Sql
sql = Sql.newInstance( 'jdbc:jtds:sqlserver://serverName/dbName-CLASS;domain=domainName',
'username', 'password', 'net.sourceforge.jtds.jdbc.Driver' )
sql.eachRow( 'select * from tableName' ) {
println "$it.id -- ${it.firstName} --"
// probably write to mysql connection here or write to file, compress, transfer, load
}
The following performance numbers give you a feel for how it might perform:
http://jtds.sourceforge.net/benchTest.html
You may find some performance advantages to dumping data to a mysql dumpfile format and using mysql loaddata instead of writing row by row. MySQL has some significant performance improvements for large data sets if you load infile's and doing things like atomic table swaps.
We use something like this to quickly load large datafiles into mysql from one system to another e.g. This is the fastest mechanism to load data into mysql. But real time row by row might be a simple loop to do in groovy + some table to keep track of what row had been moved.
mysql> select * from table into outfile 'tablename.dat';
shell> myisamchk --keys-used=0 -rq '/data/mysql/schema_name/tablename'
mysql> load data infile 'tablename.dat' into table tablename;
shell> myisamchk -rq /data/mysql/schema_name/tablename
mysql> flush tables;
mysql> exit;
shell> rm tablename.dat
The best way I have found to transfer SQL data (if you have the space) is a SQL dump in one language and then to use a converting software tool (or perl script, both are prevalent) to convert the SQL dump from MSSQL to MySQL. See my answer to this question about what converter you may be interested in :) .
We've used the ado.net driver for mysql in ssis with quite a bit of success. Basically, install the driver on the machine with integration services installed, restart bids, and it should show up in the driver list when you create an ado.net connection manager.
As for replication, what exactly are you trying to accomplish?
If you are monitoring changes, treat it as a type 1 slowly changing dimension (data warehouse terminology, but same principal applies). Insert new records, update changed records.
If you are only interested in new records and have no plans to update previously loaded data, try an incremental load strategy. Insert records where source.id > max(destination.id).
After you've tested the package, schedule a job in the sql server agent to run the package every x minutes.
Cou can also try the following.
http://kofler.info/english/mssql2mysql/
I tried this a longer time before and it worked for me. But I woudn't recommend it to you.
What is the real problem, what you try to do?
Don´t you get a MSSQL DB Connection, for example from Linux?
I have a mysql database full of data which I need to keep but migrate to SQL Server 2008.
I know end to end where the data should go, table to table but I have no idea how to go about moving the data. I've looked around the web but it seems there are 'solutions' which you have to download and run. I'd rather if possible do something myself in terms of writing scripts or code.
Can anyone recommend the best way to do this please?
You have several options here:
On the sql server side, you can set up a connection to your old mysql db using something called a linked server. This will allow you to write sql code for sql server that returns data from the mysql tables. You can use this to build INSERT or SELECT INTO statements.
You can write queries for mysql to export your data as csv, and then use the BULK INSERT features of sql server to efficiently import the csv data.
You can use Sql Server integration services to set move the data over from mysql.
Regardless of which you choose, non-data artifacts like indexes, foreign keys, triggers, stored procedures, and security will have to be moved manually.
Have you tried tool from MSFT called SQL Server Migration Assistance for MySQL ???
https://www.microsoft.com/download/en/details.aspx?id=1495
Try this tutorial it is very easy to perform migration to SQL Server from Mysql and is straightforward as mentioned
http://www.codeproject.com/Articles/29106/Migrate-MySQL-to-Microsoft-SQL-Server
Thanks
You can use the Import/Export Wizard that comes with SQL Server Standard Edition.
Select your 'data source' from MySQL using the ODBC data source. Note: You will need to first install the from ODBC driver for MySQL (ODBC Connector). Then, select your SQL Server destination. Select all tables, and fire it up. You will need to add your primary and foreign keys, and indexes manually.
A bit more automated means would be by using the SQL Server Migration Assistant for MySQL, also free. It has the benefit of recreating the relationships and indexes automatically for you. Probably your best bet.
I did it once, some time ago. First you could couple your mssql server to the mysql server using the odbc mysql connector
http://dev.mysql.com/downloads/connector/
After the connection is made you can write you database procedure as you would if it were two mssql db's. Probably easiest to write some sql batch scripts including a cursor where you run through every every row of a table an decide on a field basis where you will need the field in the future.
example of a cursor: http://www.mssqltips.com/tip.asp?tip=1599
If you decide to go with the cursor, you can play with the parameter to increase performance. I especially remember the FORWARD_ONLY parameter giving a big boost.