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Problem with loading data from XML decimal point with german nls-settings
What are the recommended BIG-IP F5 settings for routing HTTP traffic to ORDS 24.4 without SSL in an Oracle EBS-integrated environment?
impdp commit size parameter
Performance Analysis of SQL over DB Link
Materialized view based on View expanded to underlying objects
Export Oracle Label Security info from one DB to be imported into another DB
APEX Error 572 autopsy
A couple of days ago I exported an application from APEX 24.1.5 and imported it into APEX 24.2.9 on my OCI free tier instance.
Whilst the application itself was working fine, I got a problem when I tried to edit page 4 in the App Builder: the spinner kept spinning for an unusual amount of time and eventually stopped showing an empty page, and in the error notification area APEX showed "Error: 572".
Now, according to other users this Error 572 was a symptom of an overloaded database, which seemed strange to me because the page is not particularly complex and I could open other pages in the editor without problems.
After various unsuccessful attempts to see if I could gather some meaningful information from the APEX Builder debug logs (see this interesting Steve Muench's blog posting on how to do that), I decided to have a closer look at the differences between the previous version of this page and the current, problematic one.
Here are some relevant facts:
- The current version of the page can be edited without problems in APEX 24.1.5.
- If I export this single page from 24.1.5 and import into 24.2.9 the problem persists, so if there is a problem, it's not caused by the import process of the whole application.
- The "new" version of the page works correctly when I run the application, so, APEX metadata must be good.
- The only difference between the old version and the new version is in the source of the query I am using to populate an Interactive Report.
- If I import the old version of the page, then the App Builder editor resumes working properly.
The difference between the old and the new query is the following CASE function, the old version did not contain the lines in yellow:
case
when json_value(e.value,'$.email[0]') is null
then apex_lang.message('NO_RECIPIENT')
when json_value(e.value,'$.email[1]') is null
then apex_lang.message('SINGLE_RECIPIENT')
else apex_lang.message('OTHER_RECIPIENTS')
end as RECIPIENTSIf I comment out the two lines in yellow in the page source, import the page and try to edit it, everything is back to normal.
The tricky part in this type of problems is in that if you receive this error upon entering the editor then you cannot delete the offending page because Error code 572 is breaking the delete page functionality, so your only option is to replace the page with an import of a working version.
If you receive this error while you are still inside the editor of the page, you may have a chance of reverting the page to its previous state.
In my case it was easy, I had an older working version of the page, but if you don't, then you must work around the problem in some other fashion, in the worst case I presume you must edit the import file and get rid of some components.
In conclusion, my wild guess is that something wrong is happening at parse time and in particular I strongly suspect that the absence of meaningful values for the bind variables used in the conditions of my query are breaking the logic of the JSON_VALUE function that relies on the content of the JSON array "email", which at parse time of course is empty, resulting in this weird error.
Moreover, the IR query handling must have changed in some way between the two APEX releases.
Now, it could be that Error 572 is also returned when there is a "database overload", but in this specific case I can't see any correlation.
Or may be there is something else going on that I can't fathom right now.
Tip of the day: hide (or show) multiple buttons or other page components with a single dynamic action
Need to hide or show multiple buttons or page items basing on a common client-side condition?
Instead of creating a single dynamic action for each button, define a common CSS class (i.e. mybuttons) on each of the buttons and then use a single DA with jQuery selector like ".mybuttons" for the Hide action and one for the Show action, thus reducing the page complexity.
And you can also extend this to other components like page items or regions, if they follow the same logic.
Design decision on database tables oracle DB
SQL developer hanging
Social Sign-In with Azure
Oracle returns default value for column on rows inserted before the column was added
XMLTYPE returning unknown special character
Sql Plan Baseline
Deleting duplicate records without using rowid and rownum
Table Design
ORA-04063 Errors During Datapatch Rollback of Oracle Patch 30763851
I am working on an Oracle 19c database running on a RHEL 7 VM. I have been trying to roll back this patch:
Patch 30763851 IMPDP 11.2 TO 18C OR HIGHER HITS ORA-904 WHEN TABLES HAVE EXTENDED STATISTICS
I have it sitting on top of 19.5
Database Release Update: 19.5.0.0.191015 (30125133)
The Opatch rollback command ran fine, but Datapatch threw these errors:
[2025-10-22 18:50:15] -> Error at line 11329: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_OPQTYPE_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11331: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_OPQTYPE_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11333: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_OPQTYPE_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11335: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_OPQTYPE_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11337: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_OPQTYPE_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11339: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_OPQTYPE_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11341: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_OPQTYPE_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11343: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_OPQTYPE_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11355: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_P2TPARTCOL_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11357: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_P2TPARTCOL_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11363: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_SP2TPARTCOL_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11365: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_SP2TPARTCOL_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11381: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_COLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11383: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_COLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11385: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_COLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11387: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_COLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11389: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_PCOLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11391: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_PCOLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11393: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_PCOLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11395: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_PCOLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11397: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_P2TCOLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11399: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_P2TCOLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11401: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_SP2TCOLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11403: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_SP2TCOLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11405: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_COLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11407: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_COLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11409: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_PCOLUMN_VIEW" has errors"
[2025-10-22 18:50:15] -> Error at line 11411: script rdbms/admin/dpload.sql
[2025-10-22 18:50:15] - ORA-04063: view "SYS.KU$_PCOLUMN_VIEW" has errors"
I checked DBA_OBJECTS, and all the SYS objects are VALID. I tried querying one of the views and it worked fine. So, I went to My Oracle Support, our Oracle database support site, and searched for ORA-04063 and one of the view names and found nothing. A Google search also came up empty. I tried just ignoring it but that didn’t work. My whole goal in doing this was to apply the October 2025 patches that just came out this week. But because the SQL patch registry indicated that patch 30763851 rolled back with errors, every time I applied a new patch it would try to roll 30763851 back first and error again. Here is what DBA_REGISTRY_SQLPATCH looked like after two failed rollback attempts:
INSTALL_ID PATCH_ID PATCH_TYPE ACTION STATUS
---------- ---------- ---------- --------------- --------------
1 30125133 RU APPLY SUCCESS
2 30763851 INTERIM APPLY SUCCESS
3 30763851 INTERIM ROLLBACK WITH ERRORS
3 30763851 INTERIM ROLLBACK WITH ERRORS
4 30763851 INTERIM ROLLBACK WITH ERRORS
4 30763851 INTERIM ROLLBACK WITH ERRORS
Each rollback attempt tried twice so I have four failures with two rollback attempts.
I opened a case with Oracle support just in case this was a known issue that wasn’t available for me to find on my own. Sometimes that happens. But while waiting on Oracle I kept trying to fix it myself.
The errors refer to $ORACLE_HOME/rdbms/admin/dpload.sql which I think reloads datapump after some change. It runs catmetviews.sql and catmetviews_mig.sql which have the CREATE VIEW statements for the views getting errors, like SYS.KU$_OPQTYPE_VIEW. But the code in catmetviews_mig.sql wasn’t straightforward. I imagined running some sort of trace to see why the script was throwing the ORA-04063 errors, but I never had to take it that far.
At first all this stressed me out. I thought, “I can’t back out this patch. I will never be able to patch this database to a current patch level.” Then I chilled out and realized that if it was a problem with Oracle’s code, they had to help me back out 30763851. But it might take some time to work through an SR with Oracle.
But what if it wasn’t an issue with Oracle’s code but something weird in our environment? I didn’t think it indicated a real problem, but there were some weird messages coming out that I am used to seeing. They were from triggers that come with an auditing tool called DB Protect. They were throwing messages like this:
[SYS.SENSOR_DDL_TRIGGER_A] Caught a standard exception: aliasId=100327, error=-29260, message="ORA-29260: network error: TNS:no listener"
We are used to seeing these errors when we do DDL but prior to this it didn’t cause any actual problems. We had already decommisioned the DB Protect tool but had not cleaned up the triggers. Dropping SYS.SENSOR_DDL_TRIGGER_A eliminated the ORA-04063 errors.
Probably no one will ever encounter this same issue, but I thought I would document it. If you have the same symptoms and you are not using DB Protect any more, do these commands:
DROP TRIGGER SYS.SENSOR_DDL_TRIGGER_A;
DROP TRIGGER SYS.SENSOR_DDL_TRIGGER_B;
I think the A trigger was the problem, but we don’t need either one.
Anyway, this post is just so someone who searches for ORA-04063 and one of the views will find this information and drop the triggers if they have them. It’s a long shot but might as well document it for posterity and for me.
Bobby
The "Retrieval" for RAG using Semantic Search
Reusing the sample code from my previous demo, I build a table with 130 sentences describing AI Tools and then use SQL to run the sort of queries that you'd expect RAG to use against an "internal knowledge source".
Here's a preview of the sentences loaded :
SQL> select count(*) from my_data_source;
COUNT(*)
----------
130
SQL> select my_sentence from my_data_source fetch first 5 rows only;
MY_SENTENCE
----------------------------------------------------------------------------------------------------------------------------------------------------
Adobe Firefly: A family of generative AI models integrated into Adobe's Creative Cloud suite. It is used for professional image editing and graphic
design
AIVA (Artificial Intelligence Virtual Artist): An AI composer that generates music in various styles for content creators and brands
Amazon CodeWhisperer: An AI coding assistant from Amazon Web Services that provides contextual code recommendations
Canva Magic Media: An AI image generator integrated into the user friendly design platform. It is used for creating visuals for social media and pr
esentations
ChatGPT: An AI chatbot from OpenAI. It can engage in human like conversations, write code, summarize text, and create content such as stories and e
ssays
SQL> select my_sentence from my_data_source where id > 126 ;
MY_SENTENCE
----------------------------------------------------------------------------------------------------------------------------------------------------
Zubtitle.com captions for video
Cohere.ai large language models
Grok.com personal AI assistant
Claude.ai advanced AI chatbot
SQL>
The embeddings are then computed and loaded into the target table using the same query (the HuggingFace model ALL_MINILM_L12_V2_AUGMENTED has already been loaded with the ONNX RunTime engine with the same code as in the previous blog post) :
insert into my_data_vectors
select ds.id as id, my_sentence, to_vector(et.embed_vector) sentence_vector
from
my_data_source ds,
dbms_vector_chain.utl_to_embeddings(
dbms_vector_chain.utl_to_chunks(dbms_vector_chain.utl_to_text(ds.my_sentence), json('{"normalize":"all"}')),
json('{"provider":"database", "model":"ALL_MINILM_L12_V2_AUGMENTED"}')) t,
JSON_TABLE(t.column_value, '$[*]' COLUMNS (embed_id NUMBER PATH '$.embed_id', embed_data VARCHAR2(4000) PATH '$.embed_data', embed_vector CLOB PATH '$.embed_vector')) et
/
I now test a few "Retrieval" queries thus : (Note how the queries return different results with smaller VECTORE_DISTANCE as I refine them)
SQL> ACCEPT text_input CHAR PROMPT 'Enter your query : '
Enter your query : Video
SQL> VARIABLE text_variable VARCHAR2(1000)
SQL> VARIABLE query_vector VECTOR
SQL> BEGIN
2 :text_variable := '&text_input';
3 SELECT vector_embedding(ALL_MINILM_L12_V2_AUGMENTED USING :text_variable as data) into :query_vector;
4 END;
5 /
old 2: :text_variable := '&text_input';
new 2: :text_variable := 'Video';
PL/SQL procedure successfully completed.
SQL>
SQL>
SQL> SELECT my_sentence, vector_distance(sentence_vector , :query_vector, COSINE) as Calc_Vector_Distance
2 FROM my_data_vectors
3 ORDER BY 2
4 FETCH FIRST 3 ROWS ONLY;
MY_SENTENCE
----------------------------------------------------------------------------------------------------------------------------------------------------
CALC_VECTOR_DISTANCE
--------------------
Clipchamp.com quick video creation
4.635E-001
Lumen5.com AI powered social video
5.277E-001
Synths.video convert blogs into videos
5.39E-001
SQL>
----------------------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------------------------------
SQL> ACCEPT text_input CHAR PROMPT 'Enter your query : '
Enter your query : What AI Tool can I use to edit Videos ?
SQL> VARIABLE text_variable VARCHAR2(1000)
SQL> VARIABLE query_vector VECTOR
SQL> BEGIN
2 :text_variable := '&text_input';
3 SELECT vector_embedding(ALL_MINILM_L12_V2_AUGMENTED USING :text_variable as data) into :query_vector;
4 END;
5 /
old 2: :text_variable := '&text_input';
new 2: :text_variable := 'What AI Tool can I use to edit Videos ?';
PL/SQL procedure successfully completed.
SQL>
SQL>
SQL> SELECT my_sentence, vector_distance(sentence_vector , :query_vector, COSINE) as Calc_Vector_Distance
2 FROM my_data_vectors
3 ORDER BY 2
4 FETCH FIRST 3 ROWS ONLY;
MY_SENTENCE
----------------------------------------------------------------------------------------------------------------------------------------------------
CALC_VECTOR_DISTANCE
--------------------
Wisecut.video auto edit with AI
2.62E-001
Runwayml.com AI video editing
2.777E-001
Gling.ai YouTube video editor
3.413E-001
SQL>
SQL>
----------------------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------------------------------
SQL> ACCEPT text_input CHAR PROMPT 'Enter your query : '
Enter your query : image
SQL> VARIABLE text_variable VARCHAR2(1000)
SQL> VARIABLE query_vector VECTOR
SQL> BEGIN
2 :text_variable := '&text_input';
3 SELECT vector_embedding(ALL_MINILM_L12_V2_AUGMENTED USING :text_variable as data) into :query_vector;
4 END;
5 /
old 2: :text_variable := '&text_input';
new 2: :text_variable := 'image';
PL/SQL procedure successfully completed.
SQL>
SQL>
SQL> SELECT my_sentence, vector_distance(sentence_vector , :query_vector, COSINE) as Calc_Vector_Distance
2 FROM my_data_vectors
3 ORDER BY 2
4 FETCH FIRST 3 ROWS ONLY;
MY_SENTENCE
----------------------------------------------------------------------------------------------------------------------------------------------------
CALC_VECTOR_DISTANCE
--------------------
VanceAI.com image enhancement
5.268E-001
Canva Magic Media: An AI image generator integrated into the user friendly design platform. It is used for creating visuals for social media and pr
esentations
5.459E-001
PicWish.com photo editing
5.696E-001
SQL>
SQL>
----------------------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------------------------------
SQL> ACCEPT text_input CHAR PROMPT 'Enter your query : '
Enter your query : How can I use AI to edit Images ?
SQL> VARIABLE text_variable VARCHAR2(1000)
SQL> VARIABLE query_vector VECTOR
SQL> BEGIN
2 :text_variable := '&text_input';
3 SELECT vector_embedding(ALL_MINILM_L12_V2_AUGMENTED USING :text_variable as data) into :query_vector;
4 END;
5 /
old 2: :text_variable := '&text_input';
new 2: :text_variable := 'How can I use AI to edit Images ?';
PL/SQL procedure successfully completed.
SQL>
SQL>
SQL> SELECT my_sentence, vector_distance(sentence_vector , :query_vector, COSINE) as Calc_Vector_Distance
2 FROM my_data_vectors
3 ORDER BY 2
4 FETCH FIRST 3 ROWS ONLY;
MY_SENTENCE
----------------------------------------------------------------------------------------------------------------------------------------------------
CALC_VECTOR_DISTANCE
--------------------
Hotpot.ai AI image editing
2.805E-001
Runwayml.com AI video editing
3.711E-001
Wisecut.video auto edit with AI
3.921E-001
SQL>
SQL>
----------------------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------------------------------
SQL> ACCEPT text_input CHAR PROMPT 'Enter your query : '
Enter your query : Can I chat with an AI ?
SQL> VARIABLE text_variable VARCHAR2(1000)
SQL> VARIABLE query_vector VECTOR
SQL> BEGIN
2 :text_variable := '&text_input';
3 SELECT vector_embedding(ALL_MINILM_L12_V2_AUGMENTED USING :text_variable as data) into :query_vector;
4 END;
5 /
old 2: :text_variable := '&text_input';
new 2: :text_variable := 'Can I chat with an AI ?';
PL/SQL procedure successfully completed.
SQL>
SQL>
SQL> SELECT my_sentence, vector_distance(sentence_vector , :query_vector, COSINE) as Calc_Vector_Distance
2 FROM my_data_vectors
3 ORDER BY 2
4 FETCH FIRST 3 ROWS ONLY;
MY_SENTENCE
----------------------------------------------------------------------------------------------------------------------------------------------------
CALC_VECTOR_DISTANCE
--------------------
Claude.ai advanced AI chatbot
2.989E-001
Claude.ai conversational assistant
3.828E-001
Grok.com personal AI assistant
4.025E-001
SQL>
SQL>
----------------------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------------------------------
SQL> ACCEPT text_input CHAR PROMPT 'Enter your query : '
Enter your query : coding
SQL> VARIABLE text_variable VARCHAR2(1000)
SQL> VARIABLE query_vector VECTOR
SQL> BEGIN
2 :text_variable := '&text_input';
3 SELECT vector_embedding(ALL_MINILM_L12_V2_AUGMENTED USING :text_variable as data) into :query_vector;
4 END;
5 /
old 2: :text_variable := '&text_input';
new 2: :text_variable := 'coding';
PL/SQL procedure successfully completed.
SQL>
SQL>
SQL> SELECT my_sentence, vector_distance(sentence_vector , :query_vector, COSINE) as Calc_Vector_Distance
2 FROM my_data_vectors
3 ORDER BY 2
4 FETCH FIRST 3 ROWS ONLY;
MY_SENTENCE
----------------------------------------------------------------------------------------------------------------------------------------------------
CALC_VECTOR_DISTANCE
--------------------
Amazon CodeWhisperer: An AI coding assistant from Amazon Web Services that provides contextual code recommendations
5.543E-001
Replit.com write and run code
5.548E-001
GitHub Copilot: An AI coding assistant that provides code suggestions and autocompletion within an IDE
5.677E-001
SQL>
SQL>
----------------------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------------------------------
SQL> ACCEPT text_input CHAR PROMPT 'Enter your query : '
Enter your query : Tell me of a Coding Assistant
SQL> VARIABLE text_variable VARCHAR2(1000)
SQL> VARIABLE query_vector VECTOR
SQL> BEGIN
2 :text_variable := '&text_input';
3 SELECT vector_embedding(ALL_MINILM_L12_V2_AUGMENTED USING :text_variable as data) into :query_vector;
4 END;
5 /
old 2: :text_variable := '&text_input';
new 2: :text_variable := 'Tell me of a Coding Assistant';
PL/SQL procedure successfully completed.
SQL>
SQL>
SQL> SELECT my_sentence, vector_distance(sentence_vector , :query_vector, COSINE) as Calc_Vector_Distance
2 FROM my_data_vectors
3 ORDER BY 2
4 FETCH FIRST 3 ROWS ONLY;
MY_SENTENCE
----------------------------------------------------------------------------------------------------------------------------------------------------
CALC_VECTOR_DISTANCE
--------------------
GitHub Copilot: An AI coding assistant that provides code suggestions and autocompletion within an IDE
4.306E-001
Amazon CodeWhisperer: An AI coding assistant from Amazon Web Services that provides contextual code recommendations
4.702E-001
Replit: An online IDE with an integrated AI assistant that helps with code generation, debugging, and project creation
4.734E-001
SQL>
SQL>
Reflections from Oracle AI World 2025: Innovation, Community, and the Road Ahead
Discover the major announcements from Oracle AI World 2025, including the transformation to Oracle Database 26ai, GoldenGate's AI-ready capabilities, and the game-changing OCI GoldenGate on Azure integration. Learn how Oracle is architecting AI into the core of data management and why these innovations position organizations for the AI revolution.
The post Reflections from Oracle AI World 2025: Innovation, Community, and the Road Ahead appeared first on DBASolved.
Oracle APEX, OCI, Ollama at work thanks to OllAPEX for the #JoelKallmanDay
Today is the day dedicated to the late Joel Kallman, a mentor and friend, so I thought it would be nice to show off my APEX application hosted on OCI working with LLMs run via the Ollama server located at home.
It's an interesting exercise because one learns a lot about how these "things" work, the strong and weak points of each model, which one works best for a certain task, which one has the best "vision" capability, which one creates the best embeddings.
So, here are a few short videos showing some "vibe" coding that I'll need to revise tomorrow, the analysis of two versions of the same procedure created by the same LLM, then a "live" comparison showing how other models answer the same question differently.
So far, so good.
#JoelKallmanDay #orclAPEX, #AI





