I'm pretty new to Python and am completely confused by .join() which I have read is the preferred method for concatenating strings. I tried: strid = repr(595) print array.array('c', random.sample(

1. For INNER JOIN any condition can be in a WHERE instead of an ON as long as there is no intervening OUTER JOIN. 2. When moving a LEFT JOIN condition from an ON to a WHERE the performance is irrelevant since (as you say) in general the result differs. 3. That difference does not in general "transform the OUTER JOIN into an INNER JOIN".

The fact that when it says INNER JOIN, you can be sure of what it does and that it's supposed to be just that, whereas a plain JOIN will leave you, or someone else, wondering what the standard said about the implementation and was the INNER/OUTER/LEFT left out by …

2013年11月1日 · Instead of one join with OR it turned into three joins. With each condition in a seprate join and a final join to get that one matching row from either first or second join.

2009年1月2日 · Here's a list of equivalent syntaxes: A LEFT JOIN B A LEFT OUTER JOIN B A RIGHT JOIN B A RIGHT OUTER JOIN B A FULL JOIN B A FULL OUTER JOIN B A INNER JOIN B A JOIN B Also take a look at the answer I left on this other SO question: SQL left join vs multiple tables on FROM line?.

Theta-join is analogous to a special case of inner join where the on is a theta comparison on of a column from each. Some decades after Codd defined them some textbook (s) misdefined theta join as a generalization that is the analogue of inner join.

2016年10月18日 · Is it possible to do the following: IF [a] = 1234 THEN JOIN ON TableA ELSE JOIN ON TableB If so, what is the correct syntax?

The first query employs some lesser-known ANSI SQL syntax which allows you to nest joins between the join and on clauses. This allows you to scope/tier your joins and probably opens up a host of other evil, arcane things.

2013年2月27日 · I'm using SQL Server and trying to use SQL to update multiple tables at once with one query: The following query: update table1 set A.ORG_NAME = @ORG_NAME, B.REF_NAME = @REF_NAME from table1 A, ...

204 TableA LEFT OUTER JOIN TableB is equivalent to TableB RIGHT OUTER JOIN Table A. In Oracle, (+) denotes the "optional" table in the JOIN. So in your first query, it's a P LEFT OUTER JOIN S. In your second query, it's S RIGHT OUTER JOIN P. They're functionally equivalent.