The sql syntax for cartesian products is cross join It's the left or right keyword that makes the join an outer join Combines the results of both left and right outer joins
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The joined table will contain all records from both the tables and fill in nulls for missing matches on either side
Joins a table to itself as if the table were two tables, temporarily renaming at least one table in the sql statement.
I need to update this table in sql server with data from its 'parent' table, see below Sale id (int) udid (int) assid (int) table Ud id (int) assid (int) sale.assid contains the correct If a filter enters in a join condition functionally (i.e
It is an actual join condition, not just a filter), it must appear in the on clause of that join If you place it in the where clause instead, the performances are the same if the join is inner, otherwise it differs As mentioned in the comments it does not really matter since anyway the outcome is different The question and solutions pertain specifically to inner joins
If the join is a left/right/full outer join, then it is not a matter of preference or performance, but one of correct results
The sql cookbook (§ 11.3 Incorporating or logic when using outer joins) demonstrates the difference between the join and where conditions. Select weddingtable, tableseat, tableseatid, name, two.meal from table1 as one inner join table2 as two on one.weddingtable = two.weddingtable and one.tableseat = two.tableseat i only get one of the criteria 1/criteria 2 combinations even when i know for a fact that there are 3 or 4 How do i get all combinations
Take the situation where there is a wedding where table1 is basically a seating. Returns all rows from both tables, and joins records from the left which have matching keys in the right table A left outer join (or simply left join) of df1 and df2 The optimizer chooses the join order of tables only in simple from clauses
Most joins using the join keyword are flattened into simple joins, so the optimizer chooses their join order
The optimizer does not choose the join order for outer joins It uses the order specified in the statement. 61 similarly with outer joins, the word outer is optional
