7/9/2023 0 Comments Sqlite insert or update![]() ![]() First, let's learn SELECT and WHERE clauses which will be covered in subsequent chapters. INSERT INTO first_table_name įor now, you can skip the above statement. You can populate data into a table through select statement over another table provided another table has a set of fields, which are required to populate the first table. In the next chapter, you will learn how to display all these records from a table. INSERT INTO COMPANY VALUES (7, 'James', 24, 'Houston', 10000.00 ) Īll the above statements would create the following records in COMPANY table. You can create a record in COMPANY table using the second syntax as follows − INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) Now, the following statements would create six records in COMPANY table. INSERT INTO TABLE_NAME VALUES (value1,value2,value3.valueN) Ĭonsider you already have created COMPANY table in your testDB.db as follows − The SQLite INSERT INTO syntax would be as follows − However, make sure the order of the values is in the same order as the columns in the table. You may not need to specify the column(s) name in the SQLite query if you are adding values for all the columns of the table. Here, column1, lumnN are the names of the columns in the table into which you want to insert data. Syntaxįollowing are the two basic syntaxes of INSERT INTO statement. While update is an option It's not an option it's the (SQLite) law. However, if you do, it returns all of the results in a single flattened result set: > c = conn.SQLite INSERT INTO Statement is used to add new rows of data into a table in the database. As the trigger syntax diagram clearly shows, the only things that can follow BEGIN are a series of SELECT/INSERT/UPDATE/DELETE statements. It seems that executemany fails loop through all of the parameter sets unless you fetch from the returned cursor. Note that the set of values for names a,b,c and e are wrong. > c = conn.executemany("insert into t2 values('e', ?) returning n", ) > c = conn.executemany("insert into t2 values('d', ?) returning n", ) > c = conn.executemany("update t2 set n=n+1 where name=? returning n", ) ![]() > c = conn.executemany("insert into t2 values('c', ?) returning n", ) > c = conn.executemany("insert into t2 values('b', ?) returning n", ) For now, I land on the conservative side I prefer to keep the existing behaviour.ĭefinitely, it will be hard to get this right.įor what it’s worth, I looked at what apsw does: > c = conn.executemany("insert into t2 values('a', ?) returning n", ) There is also the possibility of changing the semantics of executemany() to not discard resulting rows, however changing semantics includes the risk of breaking existing code the more subtle the semantic change, the more difficult it is to discover the bug. Possible Solutionsįor now, I’ve updated the docs (see gh-103939) to make it clearer that executemany discards any resulting rows, including DML statements with RETURNING clauses. The new RETURNING clause seems to be a very popular addition to SQLite, and for many users it is confusing that executemany("INSERT INTO t VALUES(?) RETURNING t", data) does not return the expected resulting rows. When Gerhard Häring implemented the sqlite3 extension module almost 20 years ago, executemany() was deliberately implemented to only execute DML statements, and to discard any resulting rows. The DB API 2.0 ( PEP-249) defines the executemany cursor method pretty vague there are no restrictions on which types of statements it can execute the return value is not defined. With the RETURNING clause, resulting rows are now a thing for DML statements. Traditionally, an SQL DML statement would not return any values. In 2021, SQLite 3.35.0 added support for the RETURNING clause in DML statements. Should it be possible to return resulting rows from Should () not discard resulting rows? Background
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