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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 …|1 Inner join matches tables on keys, but outer join matches keys just for one side. For example when you use left outer join the query brings the whole left side table and matches &Im 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@Jan 2, 2009 · 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 …|If you are doing a LEFT JOIN, add any WHERE conditions to the ON clause for the table in the right side of the join. This is a must, because adding a WHERE clause that references t*Sep 17, 2012 · The result of join is always a string, but the object to be joined can be of many types (generators, list, tuples, etc). .join is faster because it allocates memory^This was an example, but the point is as Eric said in How can I do an UPDATE statement with JOIN in SQL Server?. You need to add an UPDATE statement at first with the full address