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.
Related
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)
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
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 would like to know if it is possible in Power BI Web to retrieve data from an Oracle database hosted in Oracle Cloud. Or to any other database/cloud combo different that Azure SQL Server.
Thanks!
Yes you can definitely achieve this.
There are connectors available for connecting powerbi desktop to oracle database.
Link
Link 2
does anyone know how to set up default "seeing" of specific tables after connecting to the DB? E.g. we have tables A,B,C,D and after connecting to the DB I want to see TAB with table A and TAB with table B.
Thank you
Sorry, this isn't possible today in Oracle SQL Developer.
You could submit an enhancement request to My Oracle Support or put in an idea to sqldeveloper.oracle.com
We have two divisions in our company, one uses E1 on Oracle 11g the other uses SAP on Oracle 11g.
We also have a SQL Server system we use to data warehouse information once a night from both system to run our report server against.
The question I have is for pooled tables in SAP, such as A016, how would I get that information out of SAP?
Currently we have SSIS's setup with a linked server to the two Oracle servers which pull the data we need I just don't have the knowledge of SAP to find the Pooled tables.
if I can't pull the pooled tables because they don't physically exist is there a tool I can use in SAP to find out what tables the pooled table is getting it's information from? This way I can rebuild that table in SQL using a open query and some fun Joins.
Thanks
You have to access those tables using the application server. They can't be accessed directly from the database.
You'll probably want to write an ABAP program to extract the data you need go from there.
I have a WCF service that uses Microsoft Enterprise Library Logging to log some messages to the Event Log. That works just fine.
The problem is that i want to log some messages to a table in an Oracle database. I am using the Entity Framework to communicate with that Oracle database.
The next step is a right click on the 'web.config' and choose the option 'Edit Enterprise Configuration'. I get the 'Enterprise Library Configuration' editor. In there i am trying to set the Logging Settings so that it also logs to the database, but when i add a database trace listener it´s asking me to fill in a procedure name. Do i have to add a procedure name to fill the table in Oracle? The msdn tells me to run the script that create an MSSQL database 'Logging' and some tables. But i don't have an MSSQL server, i have an Oracle server. And i don't want to use a seperate logging database, but save the logs to a single table.
Can anybody help me with this?
Kind regards
The Enterprise Library Database Trace Listener uses 2 stored procedures to write to the database: Add Category Procedure and Write To Log Procedure.
There is a SQL Server script to create the tables and stored procedures. This would have to be ported to Oracle.
Unfortunately, it looks like this does not work as easily as you would hope. See the blog post, Enterprise Library Logging to Oracle Database (this is based on EntLib 3, I believe) and the work item Cannot log to oracle Database using logging blocks for a description of some of the issues as well as some downloads to help.