sequel.docx

# Even if youre doing the same left to right order

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operation on b and c and then combine the result with a. Even if you're doing the same left to right order. Associativity is also very common to cross product and the natural join and so on are associative . What's interesting is the outer join is not associative . And I'm going to demonstrate that, not with the college database but with a very simple set of tables, each with one tuple, that I'm going to set up specifically to make my point. So I'm going to create three tables, each with two attributes, and put just one tuple in each one. So we've got, table T1 with attributes A and B and tuple 1, 2. We've got T2 with attributes B and C and a tuple 2, 3 that matches the T1 tuple. And then table T3 has attributes A and C. So attribute A from table T1 are matching T1. And C from T2, but the values don't match at all. I would highly recommend you pull out a pencil and paper and actually write these tables and tuples down so

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you can see what's happening. Now let's look at this question of associativity. So we're going to do the natural full outer join of the three tables and we're going to start by putting the parenthesis on the left. So we're first going to do the outer join of T1 and T2. And then do the outer join of that result with T3. And let's run the re, query, and we see that we got two tuples 1, 2, 3, and 4 null 5. We got 1, 2, 3, because T1 and T2 had that nice pair of tuples that combine with each other.But then when we took that result and did the outer join with T3, that gave us an unmatching tuple in T3. So we got four and five with a null value in B. Now let's try the other associativity. Let's just change our parentheses so that T2 is outer joined with T3 first and then the result of that is outer joined with T1. We run the query, and we get a different result. And that's because we started with our unmatching tuples which then didn't match correctly with T1. Again, the best way to do this is to take your pencil and paper and look at what's happening or try running the queries yourself. To see that the outer jo, join is not associative. And by the way the left outer join and the right outer join are not associative either. So none of the outer joins are associative. The full outer join, however, is communicative while the others aren't.\ Ok, so why is this important? It's important because if you do queries that do have outer joins of more than one relation, then it is important to think about the order. It's not a performance thing, it's actually what result you get may be different with different orders and parentheses, parenthesizations of your outer joins. So, in conclusion the family of join operators is used in SQL to combine relations where we're explicitly doing operations like relation, relational algebra. The inner join is the relational algebra theta join, where we explicitly combine relations on a specific condition. We have a natural join operation which implicitly combine, equates column, the values in columns that have the same name and eliminates those duplicate columns. Both of those, can be expressed in fairly similar ways without the join operator. The outer join, however, is sort of significantly different because it does add the tuples that don't match the join condition. And pads them with null values and it, it's quite useful. People use join operators quite a lot. The one thing I mentioned is that join operators can be used to kind of tell the query processor how it should execute the query and that can sometimes be used to improve the performance of queries, of equivalent queries. Though in theory, again, database systems should always find the best way to execute their queries, but that's a tough thing to do. And so people do sometimes give hints in the way they formulate their queries sometimes using the join family of operators to do that. Example table:
Table 1:

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Table 2:
Table 3:

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Lets take a look at associativity

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• Fall '13
• Relational model, Join, Composition of relations, Outer Join

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