How to get ROWID in SQLite?
To fetch the unique ROWID in SQLite, use the following query:
Just replace table_name
with the actual name of your table. This will return a list including the ROWID for each row. The aliases rowid
, oid
, and _rowid_
are interchangeable, except in the case of an INTEGER PRIMARY KEY
column.
Fetching rows based on conditions
You can extract rows meeting certain conditions with a WHERE
clause in your query:
Where column_name
is the name of your column and desired_value
is the condition value.
Important points to note
- The
rowid
won't appear when usingPRAGMA table_info
or.schema
. It's an invisible column, but it's always there. - Even with
AUTOINCREMENT
, SQLite still usesrowid
for maintaining uniqueness. - It's usually not advisable to change the
rowid
, as it could impact the relational data's integrity.
Understanding the magic of rowid
In SQLite, the ROWID
acts like the address of a record. It's a smart mechanism for quick data retrieval. The intended role here is similar to the unique ID of a book in a library system, which speeds up the access to any book.
Exploiting ROWID in SQL queries
Deletion of specific rows
Got an unwanted row? Make it disappear like a magic trick:
// Talk about cleaning out your bookshelf!
Updating specific rows
ROWID
makes updating specific rows as easy as swapping out old books for new ones:
// The "New Shelf, Who Dis?" maneuver 📚
Joining tables with ROWID
ROWID
is like a universal friend-maker you can use when joining tables:
// It's the "book club" of SQL, introducing books (tables) to each other 🤝
The "dos" and "don'ts" of using ROWID
Don'ts:
- Don't use
rowid
for tables declaredWITHOUT ROWID
. - Avoid modifying
rowid
to prevent the rise of unexpected side effects. - Never consider
rowid
as permanent. It may change, especially after aVACUUM
operation.
Dos:
- Leverage the fast accessibility property of
rowid
. - Use
ROWID
for debugging processes. It can serve as a stethoscope to examine low-level data issues. - Do remember:
rowid
can be your last resort for recovering corrupted or lost data.
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