Updating multiple databases dating loopylove

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Notice how the Field List on the right shows not just one but a collection of tables.Each of these tables contain fields you can combine in a single Pivot Table to slice your data in multiple ways.The code required to implement the above logic is sufficiently fiddly that we would probably not want to have to repeat it.So we could think in terms of creating a re-usable module which would implement that logic.The traditional advice for improving performance for multiple UPDATE statements is to “prepare” the required query once, and then “execute” the prepared query once for each row requiring an update.But in many cases this only provides a modest improvement as each UPDATE operation still requires a round-trip communication with the database server.Here's how you build a new Pivot Table or Pivot Chart using the Data Model in your workbook.A requirement arises in many systems to update multiple SQL database rows.

The dominant factor in the time taken to complete the overall operation tends to be the “admin” work in conveying the application’s intention to the database server rather than the actual updates to the database.This is in fact entirely possible in many database systems.In the case of Postgre SQL, it can be done using a FROM clause with UPDATE, like this: This does an INNER JOIN between the tables “staff” and “updates” where the column “name” matches.Pivot Tables are great for analyzing and reporting on your data.And when your data happens to be relational—meaning it's stored in separate tables you can bring together on common values—you can build a Pivot Table like this in minutes: What’s different about this Pivot Table?

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