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The goal of Waterline is to provide the same query interface for any database that you would like to use.

Unfortunately, this means that the supported feature set is the least common denominator of every supported database.

It is a part of built-in expression engine, that simply allows you to just inject any value from JSON object or an expression directly into string input, without any concatenate functions or operators. In Oracle, tables and data were generated from EXMP/DEPT samples delivered with XE version.

In Postgre SQL – from dvd rental sample database: I simply chose three largest tables from each database.

It will work as a source too, BUT also as a parametrizable sink (destination). Sinking data needs one more extra parameter, which will store destination table name. Currently, the maximum number of rows, that can be returned by Lookup activity is 5000, and up to 2MB in size.

Also max duration for Lookup activity before timeout is one hour. It should look like this: All other things should just be set to defaults.

We use Postgres, and by default this means we can't get a lot of leverage out of it.

Of course, you can dynamically create them if you want, but it is a good practice to transfer data 1:1 – both structure and values from source to staging. This logic should copy rows from all Oracle tables defined in the configuration. This can be done with “Debug” or just by triggering pipeline run.

Imagine finding an issue like that every two weeks or so and that's the feeling I get using Sails and Waterline.

The project's maintainers are very nice, and considerate - we have our disagreements about the best way to build software, but they're generally responsive.

Just drop Copy activity to your pipeline, choose a source and sink table, configure some properties and that’s it – done with just a few clicks! All you need is and a few simple tricks 🙂 Also, this will give you the option of creating incremental feeds, so that – at next run – it will transfer only newly added data.

But what if you have dozens or hundreds of tables to copy? Before we start diving into details, let’s demystify some basic Bear in mind, that if your columns are different between source and destination, you will have to provide custom mappings.

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