We recently migrated database from sybase → AWS postgres using SCT/DMS. However we are finding the Sybase datatype CLOB is converted by SCT to text and DMS has migrated the CLOB content in Sybase to plain xml text in postgres.
appreciate any advise/insight on how we move forward on this.
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 am using an Oracle database 11.2.0.4 with AL32UTF8 CHARACTER SET, I have data stored in urdu/arabic language in my database, I can query my data from the db server (linux) but I am not able to select/view the data from SQL Developer Version 4.0.0.13, is there any specific setting we need to perform in order to display data from SQL Developer?
Yes, pick a display font that supports your characters.
Open Tools > Preference > Environment and change Encoding to UTF-8
Like this picture:
UPDATE
as answer below shows that is error couse by JDBC so is there any
other suggestion to migrate access database to oracle database other
than using toad and the hard way to do it because trigger views
sequences wont be imported by that way so I have to create them by my
self??! :S
I am migrating database from access 2003 to oracle database 12c but Arabic characters are shown as question marks at the step where you connect to access database using SQL developers
I followed what you suggest at this answer and restart my pc but nothing changed
NOTE
when opening .mdb file from access Arabic characters shown right but when opening it from SQL developers I get question marks instead of arabic characters
is there anything else to do ?
I run that query as #krokodilko suggested and I get below result
select * from nls_database_parameters where parameter like '%CHAR%'
NLS_NCHAR_CONV_EXCP FALSE
NLS_NUMERIC_CHARACTERS .,
NLS_NCHAR_CHARACTERSET AL16UTF16
NLS_CHARACTERSET AR8MSWIN1256
select * from nls_session_parameters where parameter like '%LANG%';
NLS_LANGUAGE ENGLISH
NLS_DATE_LANGUAGE ENGLISH
by the way when I open another Oracle schema Arabic characters show correctly dose access has special encoding ?
Unfortunately, this looks like a problem with JDBC-ODBC Bridge. It does not work properly with the Access ODBC driver when text includes Unicode characters.
See other questions regarding MS Access over JDBC-ODBC Bridge like this:
Reading Unicode characters from an Access database via JDBC-ODBC.
There is also proposed solution which may work for general Java-to-MSAccess connection using pure Java JDBC driver (UCanAccess):
Manipulating an Access database from Java without ODBC
But, your question is about using SQL Developer for migration, so, it is not a solution for you, since SQL Developer supports only limited number of JDBC drivers. Not UCanAccess.
Hard-way is better than no-way.
I am getting error messages about being unable to convert between unicode and non-unicode character sets when trying to import a flat file via SSIS.
My flat file is UTf-8 encoded according to Notepad++. The file contains characters such as the "microgram" character (µg) for example.
My flat file connection manager is set up to use 65001 (UTF8) and all my columns are set up on my flat file connection manager to be DT_WSTR, and the data previews OK in the flat file connection manager.
My database is Oracle 11g, using Microsoft Oracle OLEDB driver for Oracle.
I have tried VARCHAR2 and NVARCHAR dta types in Oracle, but when I connect my DT_WSTR (65001) columns to my Oracle tables, I get the unicode conversion error.
I have tried conversion steps in my SSIS packaged, to convert to DT_WSTR and DT_STR. Had some success with DT_STR, but I got my microgram symbol scrambled.
How hard should this be? I set up a 65001 text file connection, with DT_WSTR column types and I cannot for the life of me connect it to Oracle using VARCHAR2, NVARCHAR.
Any advice appreciated.
Stephen
There is aan Oracle database with regional encoding for Kazakh language. There is also a client, but it uses UTF encoding.
When i update db field in Kazakh through pl/sql developer or call update proc in web application, these special characters becomes '?'.
But if i locate ora18n java file in oracle sql developer folder and update field in Kazakh, everithing works well.
How can solve my problem? If you need any db or clinet conf, u are welcome!