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I'm pretty new to python and am completely confused by.join() which i have read is the preferred method for concatenating strings You need to add an update statement at first with the full address of all tables to join with, and then add the set statement. Strid = repr(595) print array.array('c', random.sample(

If a filter enters in a join condition functionally (i.e This was an example, but the point is as eric said in how can i do an update statement with join in sql server? 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 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 accident or by purpose. Inner join gets all records that are common between both tables based on the supplied on clause Left join gets all records from the left linked and the related record from the right table ,but if you have selected some columns from the right table, if there is no related records, these columns will contain null.

Left join and left outer join are one and the same The former is the shorthand for the latter The same can be said about the right join and right outer join relationship The demonstration will illustrate the equality

Working examples of each query have been provided via sql fiddle

This tool will allow for hands on manipulation of the query Given left join and left outer join results 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 the right side of the join will convert the join to an inner join

The exception is when you are looking for the records that are not in a particular table. 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 only once Better than classical concatenation (see, extended explanation)

Once you learn it, it's very comfortable and you can do tricks like this to add parentheses.

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.

This join combines left outer join and right outer join It returns rows from either table when the conditions are met and returns null value when there is no match In other words, outer join is based on the fact that Only the matching entries in one of the tables (right or left) or both of the tables (full) should be listed.

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