chibenwa commented on PR #2514:
URL: https://github.com/apache/james-project/pull/2514#issuecomment-2490290568

   (Indeed)
   
   
![image](https://github.com/user-attachments/assets/615d50e0-8f12-463e-ab75-bb0a1b655a39)
   
   ChatGPT chat if relevant: this *might* be an actuall PG limitation we hit...
   
   ```
   Is a SQL connection usable to run other queries if I am paging results from 
the database on a select query?
   ```
   
   Whether a SQL connection can be used to run other queries while paging 
results from a database depends on the specifics of how the database and the 
connection are configured, as well as the SQL client library you're using. Here 
are the key considerations:
   
   ### 1. **Cursor Behavior**
      - **Forward-Only Cursors**: If you're using a forward-only cursor for 
paging (common in libraries such as JDBC or Python's `psycopg2`), the 
connection is typically locked for that query, and running another query might 
not be allowed until the current one completes or the cursor is closed.
      - **Scrollable Cursors**: Some databases support scrollable cursors, 
which might allow other queries on the same connection depending on the 
database's implementation.
   
   ### 2. **Database Locking and Transaction Scope**
      - If the paging query is running within a transaction, the database may 
hold locks that prevent concurrent queries on the same connection.
      - Running multiple queries simultaneously on a single connection could 
also violate transactional guarantees.
   
   ### 3. **Database Support for Concurrent Queries**
      - Some databases (e.g., PostgreSQL, MySQL) support only one active query 
per connection at a time. Running another query will result in an error unless 
the first query is completed or the results are fully fetched.
      - Databases like SQL Server and Oracle allow multiple active result sets 
(MARS) or similar mechanisms, enabling simultaneous queries under certain 
conditions.
   
   ### 4. **Library-Specific Considerations**
      - Some client libraries (like Python's `asyncpg` for PostgreSQL) allow 
multiple queries to be queued asynchronously on a single connection.
      - Libraries like `sqlalchemy` in Python often manage connection pooling, 
enabling multiple queries across multiple connections, even if one connection 
is busy.
   
   ### Best Practices for Paging
   - **Use Connection Pooling**: Tools like HikariCP (Java) or SQLAlchemy’s 
connection pool ensure each query can use its own connection, avoiding 
contention.
   - **Fetch Small Chunks**: Retrieve only the required number of rows for each 
page to minimize connection usage.
   - **Close Cursors**: Ensure cursors are closed promptly after fetching the 
results.
   
   ### Conclusion
   If you're paging results from a database on a select query, it's generally 
safer to assume that the connection is not available for other queries until 
the operation completes. Using connection pooling or multiple connections can 
mitigate this limitation effectively.
   
   ```
   Does postgresql support scrollable cursors?
   
   Are scrollable cursors implemented with R2DC library?
   ```
   
   ### PostgreSQL and Scrollable Cursors
   
   **1. PostgreSQL Native Support:**
   PostgreSQL does support scrollable cursors. A scrollable cursor allows you 
to fetch rows in any order (e.g., forward, backward, relative, absolute 
positioning). This is particularly useful for applications that need random 
access to query results.
   
   - To create a scrollable cursor in PostgreSQL, you use the SQL `DECLARE` 
statement with the `SCROLL` keyword:
   
   ```sql
   DECLARE my_cursor SCROLL CURSOR FOR SELECT * FROM my_table;
   ```
   
   - Once the cursor is declared, you can use `FETCH` commands like `FETCH 
NEXT`, `FETCH PRIOR`, or `FETCH ABSOLUTE` to navigate through the result set.
   
   - Scrollable cursors are limited to explicit transactions. That means you 
need to wrap them within a `BEGIN`/`COMMIT` or `BEGIN`/`ROLLBACK` block.
   
   ---
   
   **2. R2DBC and Scrollable Cursors:**
   [R2DBC](https://r2dbc.io/) (Reactive Relational Database Connectivity) is 
designed for reactive programming and focuses on streaming data asynchronously. 
   
   - R2DBC itself does not directly expose scrollable cursors in the way 
traditional JDBC does. Instead, it provides reactive streams for processing 
results row-by-row in a non-blocking manner.
     
   - While PostgreSQL supports scrollable cursors natively, the R2DBC 
PostgreSQL driver does not provide a direct interface for them. You would need 
to implement a workaround using PostgreSQL's native SQL commands for cursor 
operations.
   
   ---
   
   ### Summary
   
   - **PostgreSQL:** Fully supports scrollable cursors with SQL commands.
   - **R2DBC:** Does not natively implement scrollable cursors. However, its 
reactive streams can achieve similar functionality by processing and 
re-querying data as needed for reactive workflows.
   
   If scrollable cursors are a strict requirement for your application, 
traditional JDBC might be a better fit than R2DBC.


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