I am using the Microsoft Connector for Oracle by Attunity with SQL Server 2010 Integration Services. Install the Microsoft Connector for Oracle by Attunity.SSIS Package connected succeed oracle connection manager editor.
First of all create one database on sqlserver. Example (ordb Database).
Start->All Program->Click SQL Server Data Tools and then click New Project & Select the Integration Project click Ok Button.
Drag the Data flow Task from SSIS ToolBox in Control Flow. Select the data flow task and right click edit , open data flow.
In dataflow under Oracle Source drag the ssis toolbox and create new for connection manager: xx and choose the Data Access Code :Table Name& name of the table or view : Dar.xx.
Select Table od table on Oracle Source and od table totally three columns there (Id,Name,Xml). Once dataflow path connect with oledb destination xml column hidden and remaining two columns only there in preview.
Another xy Table one column there (Xml Column). In the oracle source created connection manager and selected xx table.
I will connect Dataflow path editor to another oledb destination in ssis toolbox. Once connect dataflow path editor and open oledb destination but (This Component has no available input columns) aler box shows.
How to fix the issue from ssis package
Related
I have to get data from a Oracle database through ADF into ADLS. I have a linked service which connects to the Oracle database(type : Oracle).
I am actually not able to create the dataset for this linked service as there is no option for a Oracle dataset creation in the ADF.
Can anyone help me out with this ?
When you click Dataset > New Dataset, you should see this below. If you do not, you should open an Azure ticket to see if there is something wrong with your browser.
If you click on Dataset | New from your ADF UI, you can then type in "Oracle" in the dataset search bar to find the Oracle connector.
Scenario:
I am trying to copy data from source ORACLE database to sink AZURE SQL using ADF.
I have created Oracle 11gR2 database in my local system (Windows 10) and installed Self Hosted Run time. On adding "data set" in ADF, I can "preview" tables from my local Oracle database.
Now target is Azure SQL and copy activity is like-to-like. So I have created table in AZURE SQL, keeping all column attributes same, barring one RAW column in source.
Problem:
In source table, there is a column of type RAW(2000) and it contains zlib compressed data in HEX format.
For this, as per the mapping spec detailed in https://learn.microsoft.com/en-us/sql/relational-databases/replication/non-sql/data-type-mapping-for-oracle-publishers?view=sql-server-ver15,
I have changed the type for the same field in Azure SQL to varbinary(2000) (also tried with binary(2000)
Source column data in Oracle is as below:
COMPRESS_DATA
--------------------------------------------------------------------------------
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
Now when I am creating the copy step in ADF and in Mapping tab, I opt for "Import Schema", it shows:
for Source, COMPRESS DATA field type is BYTE[ ].
Naturally when I run the pipeline, the above column value comes in Azure SQL, in a different format:
data preview in ADF
Data as in ADF preview and in Azure SQL (post copy)
B2x4nO1dW2/buLYG91sL9D/o5QApkHhE3RUcHGxZF9uJJTuS7MR5GWhspTHGkTOy05n8+7MoybrQkuOkzm6SXTVtY5FcXOvjx8VFSqR9rcPChf7FsazKqjyLMCfKqKN7HvJMx/hdc/Vub9xzOr933MFo+LvX7Q1t0/ERXC78dVD7vEM+YLHFom/T1eokiKe38+/z6Bv18V8+VIahsmvjqqvq3oU5MvsaFB2Q4mgQz8KY6QbRbEHKckgPomm4WIQz5o9HRn9YrZd3YYx4knEeBfEj48dBtLpfxmsmKYvABuWElU84nsG4hZUWL7Z4QVAlEU1XMcsKVA6OheSWjDGP+f1zYGR7/YPUhSbE7vZy+ScYzOjL6GYe3wXr+TJC2fV0LcXVw0hMGw4jfZL+kwBr3gXzRUlWUgizKIFvtpwyvej7cj4loCOi0w7FUdLiJJPJC6U2HHlGST7DAhfY9CdhF6gmw7+mj2zNHEH5y3D+7XYNoiYpKUCb4aVKkaKAxg6i4Ft4F0brXYjsB9jTOUAblUXmPwWzClZmWdzwMVwdM/rtfL1kPCSrWER2EMarP5n+PApJ/uUcobHT1RxgC06t5Fika7pbtdL3r53yHcSWDHce7v4AYiMkQr/hsKTyB7Gw2ngJGzDybuf3BOJUV/AEnDC06RbBMsp7YnptijHDIF4/MtpsFs4OomR60XR80pxMfYx4naPUZ5PuwYw0n9E1r8vcBivmjzCMmIAozcAnbbFYTpMeyAz+jsK4dQhLckAly3CqGnHvCdAz8dx5LqDg1NZxMF0/BIvchR8W1L7QH1a14t8TqLg9Gj4XVOId4Lf242GR1AecS/d3QUDDOB8b4CKfQkYPFtOHRdpRjGAdMvMV83A/g9/eBqpWX3FpVBs0n94G0TdA8yZe3n35/L/tRRD9+X9fPn/5/ET+9fLL50I9UsB4COEus/Hd0zgsipH0w/qS8aSnm8RCK28suG0spw+E5+UoogiTZllqwalEye1GU1uYa6kSK0lSg2o1ORoarSZnfaN5ikiZBDHKbcjcLMEr/00gXT9tyemXz/4QUGCi5WnjoPkS83LkDfbqbAt5Hpl/PWQuBgKFMAOjuEnCghVo+z0sdeY3AbvTk892w/6EFYT061vwAKvMyZ4StueFThmB/c1wJ8cMBEAsy4w8pt/2fmXYO8NB2dsz5O4WewWYa8XflmXmFjdWRR+7W35/I6Ttnem1vmKaq11oHYcL4hkITVPX4CxbTO4bDoyvozrnVcW4Hfj2K4q+HZ/gt8fnu31Co/713iDJfsqsw9X6mIF6BRYfM/7yESZR34I7MpfC7HGWDC2TzBzzDnDgJrpW+0M+MW5yaW66AIQHy9nDdJ1B54bTcA5kZ+LlAxn0l7NwuwaYF2cTXMO0tFHf3ydLY9NsZ61vG7c/otRnkZtrecrAZPsgmuZ4TbrXFmtW40JORcVcaRNj3wcQMMXhKoy/p5HPTTBf1DEa6hIUiVWa4p6aHLtgq+asR83stztVI9hGhQnj6D92sJ7eEuKnLnEZQZwRB7OQ6QcRAd3xTZcxR+5gaGoOcwS//QZ/v3757IFwCCRPmYHXHzCe6Y7BcTFHPcuExHG4WoWL38bLx+AbZNGgvKsxR/hy/PU3Fqz68rk0I4U+FS3XoC8MGDFQ88gyra+twyiXJv5maZBP83xGM2XmSFLYbR1N29YYWzNd75w5kiWJKMqqXz47y/LsOfHAN8uHaHYgBS2W31Il08IdePrAspgjlfWINiJ+Qpv0z9Efi6zP62lIb34Hb/X1EGzNu06H1YaXVNehXU32CQbX2fxm/ka6izMxKMXTAWC4IF1mecMkDvI+jb/TKVEygzpNsX0q63oJGfXlfRjdQktGW0WMcAHeN37cR3xd3kT+OFiE0XQe5CUyoIt8s0JoU4ZE0kE5YVxr3rvkhGXoHs2JrH8yNgw9VVA/Mb8xBNjaHIDqJ30COfR91Nkf27bB6tfvEdt2W6YUz/rbizlrnOvDrm8zRS87Zqx4DnO3KIw+wdDxCUaZbMT59IkMNp+gkNl2x1DIgTn2LeOFAeOH8d08ChZMOw7vwphM/aJP9tj7BK6/PBYQEawKIkxP67sgQlt8C6fzGNQ6Yex+LgdqHnwCR005b1JcxEnxsd7zdcYO4vl6fhcwm14cBZ8+HZQrysWZS3Plx5e7fgp7rrhzl2bPXstd1QWs56x4CaUVL9M3YMxekeYi8yx/fpc55vsgXj/E4df6EP4H2k4zTK3fIQaPrP1mscUsBaKAbPFoq/Ve9kCwvvXqcjasexk+ZczWXPZvUB76H5l+Jy2XT2R3zGNfZEyO8Kgz8s8phKXskWxm8ZsAzxWvKD1hNhTehDE4jZDM9E8ZSRp4eZYvnyEcmd/Pk/WWykL7MaN3e/6Acc2J6R0Xi+zHTPIA9ZTRPRf0+HfquFr6wD4w5B47HnqJng6Xk7p+Sdf2+kzdc2PGgDjoqBNGYRwsvmaT9EE8/5a48Pt4OSURdA3tBY4oparNam/laGy5rZz1LTcYi5S5ha2FAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=
Expected outcome:
The content should be copied to Azure SQL as is from source (HEX).
Please help/advice on how this can be achieved as we are planning to move 10TB of Oracle data into Azure SQL but this is the base issue blocking it.
Please try create the table with nvarchar(max) data type in Azure SQL database.
I'm glad to hear that "Changing it to NVARCHAR(MAX) while creating the Azure SQL table solved the problem".
It's my pleasure to help you!
I tried these options first
download JDBC driver for Postgres from http://jdbc.postgresql.org/download.html
in SQL Developer go to Tools → Preferences, Database → Third Party JDBC Drivers and add the jar file. (see
http://www.oracle.com/technetwork/products/migration/jdbc-migration-1923524.html for step by step example)
now just make a new Database Connection and instead of Oracle, select PostgreSQL tab
And this is all fine. I can see tables and views etc in Oracle SQL developer, but when I select any of the tables from PostgreSQL and right click on table name and select "Copy to Oracle", nothing happens
According to this https://docs.oracle.com/cd/E39885_01/appdev.40/e38414/migration.htm#RPTUG45388 I should get a prompt to choose database.
Please let me know what I am doing wrong or is it even possible to copy PostgreSQL tables to Oracle using SQL developer?
I Create Package in SSIS with sql source Oracle Destination. So I create a table in Oracle that is my Target .
In the Insert Destination How Can I find my table in oracle?
Once you create and test your DNS, go to SSIS Data Flow Task and in the Other Destinations double click ADO Net Destination.From the Connection Manager create a new Connection pointing to the DNS you created above. You can see your Oracle tables from the Use a table or View.
Afternoon Folks,
We are using Visual Studio 2013 and have an SSIS package that we are creating. We have a simple Data Flow Task that essentially takes some data from SQL and Pushes through to an Access Database. It has three DFD flow items:
I have a OLE DB Source (obtains the SQL via a select statement) --> Data Conversion (Convert SQL Data Types to Access) --> OLE DB Destination (Access Database)
The steps selecting the SQL and converting it works fine.
The issue we have is the SQL command that we are using to update the Access 2010 database.
We have tried to run and create a simple UPDATE statement to update a couple of fields with hardcoded data, but this doesn't update. We have also tried creating a stored procedure and then executing this within the SQL Command line in the OLE Destination Editor.
We can see from posts on the net that we can create a procedure in access 2010 and use this. We are also using Native OLE DB\Microsoft Office 12.0 access Database Engine OLE DB Provider. This connection tests successfully.
We can write a SELECT statement within the SQL Command line and this does pull back data. We just seem to have a problem with the UPDATE and or Create Procedure. In turn we are unable to populate the Mappings. the mappings display the destination box but no fields are displayed within here.
We have had a good look around on the internet but we are struggling to find a solution.
Here is a sample of the code in the form of the update statement we are trying to get working.
UPDATE ReferenceFields
INNER JOIN Addresses
ON ReferenceFields.ID = Addresses.ID
SET ReferenceFields.Reference2 =CustomerName,
ReferenceFields.Reference3 = telephone
WHERE Addresses.UPRN = 12345678910
If I Parse the query it is successful but when I select Mappings a warning is displayed....
Error at Data Flow Task [OLE DB Destination [136]]: No column
information was returned by the SQL command
https://msdn.microsoft.com/EN-US/library/office/ff845861.aspx
https://msdn.microsoft.com/en-us/library/ms141044.aspx
SSIS OLEDB destination with SQL command (Insert if not exists)
After some time I have managed to answer this question myself.
I have added unique parameters to each field I need to update and used the # char to set this.
UPDATE ReferenceFields
INNER JOIN Addresses
ON ReferenceFields.ID = Addresses.ID
SET ReferenceFields.Reference2 = #CustomerName,
ReferenceFields.Reference3 = #telephone
WHERE UPRN = #UPRN
This runs through the code and updates the MS Access database.