Updating multiple records sql dating while in therapy
And then we'll make use of SQL Server's ability to update Table1 via a derived table definition: update T1 set T1. Date from (select row_number() over(partition by id order by Date) as rowid, id, Date from Table1 where Date is NULL) T1 join (select row_number() over(partition by id order by Date) as rowid, id, Date from Table2) T2 on T1= T2and T1.rowid = T2.rowid; You stated that the order of the matching matters but it seems like you don't have anything to ORDER BY in table 1 to create a guaranteed order to match the other table and there is no way in SQL Server to order the rows after insertion date, because information about that is not stored.
With this in mind it’s not possible to do a matching with the result you want.
UPDATE [table] SET DATA="FOO" WHERE ID=23; UPDATE [table] SET DATA="ASD" WHERE ID=47; UPDATE [table] SET DATA="FGH" WHERE ID=83; UPDATE [table] SET DATA="JKL" WHERE ID=88; UPDATE [table] SET DATA="QWE" WHERE ID=92; UPDATE [table] SET DATA="BAR" WHERE ID=97; clause allows to specify a derived table using a table value constructor (See example under point D on that page).
The SET clause then takes the “salary” field from the “updates” table and uses it to update the “salary” field of the “staff” table.A requirement arises in many systems to update multiple SQL database rows.For small numbers of rows requiring updates, it can be adequate to use an UPDATE statement for each row that requires an update.This seems to better fit the scenario you describe, is much easier to read, and avoids those difficult-to-untangle multiple conditions.
INSERT INTO table_users (cod_user, date, user_rol, cod_office) VALUES ('622057', '12082014', 'student', '17389551'), ('2913659', '12082014', 'assistant','17389551'), ('6160230', '12082014', 'admin', '17389551') ON DUPLICATE KEY UPDATE cod_user=VALUES(cod_user), date=VALUES(date) combination is a primary key.In this case there are two distinct values, so we can do it in two UPDATE statements: So we can reduce the number of queries from five to two. But the extent to which this helps us reduces as the proportion of distinct SET values goes up.