Use a powerful librarian to easily manage all your media and cursor files. This is an integrated window (which can be hidden) where you can store, move, copy and extract all the files you're using in your work (images, cursors, libraries).
Java, PL/SQL, or SQL cursors may sometimes make allocations out of the shared pool that are larger than 5 KB. To enable these allocations to occur more efficiently, Oracle Database segregates a small amount of the shared pool. The segregated memory, called the reserved pool, is used if the shared pool runs out of space.
If the shared pool is too small, then extra resources are used to manage the limited amount of available space. This consumes CPU and latching resources, and causes contention. Ideally, the shared pool should be just large enough to cache frequently-accessed objects. Having a significant amount of free memory in the shared pool is a waste of memory. When examining the statistics after the database has been running, ensure that none of these mistakes are present in the workload.
Library cache misses indicate that the shared pool is not large enough to hold the shared SQL areas of all concurrently open cursors. If the shared pool does not have enough space for a new SQL statement and the value for this parameter is set to TRUE, then the statement cannot be parsed and Oracle Database returns an error indicating that there is not enough shared memory.
After an entry is loaded into the shared pool, it cannot be moved. Sometimes, as entries are loaded and aged out, the free memory may become fragmented. Shared SQL and PL/SQL areas age out of the shared pool according to an LRU algorithm that is similar to database buffers. To improve performance and avoid reparsing, prevent large SQL or PL/SQL areas from aging out of the shared pool.
To avoid this, Oracle Database internally reserves a small memory area in the shared pool by default that the database can use if the shared pool does not have enough space. This reserved pool makes allocation of large chunks more efficient. The database can use this memory for operations such as PL/SQL and trigger compilation, or for temporary space while loading Java objects. After the memory allocated from the reserved pool is freed, it is returned to the reserved pool.
SQL Server cursors and any other type of cursors date back to before procedural programming languages could handle sets of data and required to be split into rows (E.g. COBOL, FORTRAN, old style C etc.) So in that regard they are just plain old-fashioned. However, other than for backwards compatibility they can still serve us well in the right situations. One such time would be when you want to write a script to restore a bunch of databases from backup files on a disk. In this case you can write a cursor to collect the database names and run a RESTORE DATABASE command for each database in a one-by-one fashion. Another time this may be useful is when you need to update an entire column of a large table that is constantly being queried in a production environment. Doing this on a row-by-row basis would avoid locks and waits for other users and your UPDATE query while concurrent operations are happening on the same pages of data. However, even in this case it is usually preferable to write a WHILE loop to update sets of data (i.e. on a 1000 by 1000 row basis). This would also avoid too many locks and would do the job quicker.
Mouse settings on Windows 10Use the Scheme drop-down to select the size you want, including: system scheme (small), large, and extra large.
I had the same issue. I found that the mouse cursor size must stay at 1. Then, I went into the additional mouse setting and selected the default Windows (large) or (extra large) scheme. Then Snagit properly grabbed the larger cursor. Unfortunately, this gets rid of the custom color, though, and returns it to white. 2b1af7f3a8