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OK, that’s great, we have some theoretical approaches for reducing the number of queries, now what?
In the case where the application server and database server are on different hosts, the round-trip will involve network latency as well.So if the caller has a Postgre SQL database, and calls with data to represent our third example (where the target values are all unique), then the Postgre SQL-specific subclass will effect the updates using the table / UPDATE … To match on names we now need to match on two columns.So whereas previously we specified the matching column using a scalar, when there is more than one column to match, we use an Array Ref.“value_columns” specifies the columns which will be updated (using SET). The second element provides the value to be SET in the column specified by “value_columns”.In this case, will spot that the target values are all 1200, and will effect the desired changes using a single UPDATE statement as described above.
Search for updating multiple databases:
A requirement arises in many systems to update multiple SQL database rows.