Ankush Menat a2525e545a perf: Unbuffered cursors for large result sets (#24365) ... If you're reading 1000s of rows from MySQL, the default behaviour is to read all of them in memory at once. One of the use case for reading large rows is reporting where a lot of data is read and then processed in Python. The read row is hoever not used again but still consumes memory until entire function exits. SSCursor (Server Side Cursor) allows fetching one row at a time. Note: This is slower than fetching everything at once AND has risk of connection loss. So, don't use this as a crutch. If possible rewrite code so processing is done in SQL.		2024-01-16 11:00:12 +05:30
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mariadb	perf: Unbuffered cursors for large result sets (#24365)	2024-01-16 11:00:12 +05:30
postgres	chore: name current db handle properly	2024-01-14 17:14:21 +01:00
__init__.py	Merge pull request #23168 from blaggacao/refactor/centralize-python-shell-interface-for-database-binaries	2023-11-17 17:02:41 +05:30
database.py	perf: Unbuffered cursors for large result sets (#24365)	2024-01-16 11:00:12 +05:30
db_manager.py	refactor: set pipefail in shell before running piped backup/restore commands	2024-01-04 18:41:37 +05:30
operator_map.py	docs: consistency	2023-12-20 14:02:32 +05:30
query.py	feat: Skip locked rows while selecting (#24298)	2024-01-13 09:49:27 +05:30
schema.py	refactor(treewide): code cleanup	2023-11-23 13:57:51 +05:30
sequence.py	refactor!: remove implicit primary key from logs (#22209)	2023-08-26 16:01:47 +05:30
utils.py	feat: migrate columns to be non-nullable if required	2023-11-16 14:51:57 +05:30