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If there is always integration to the integration server, then the migration scripts must be applied incrementally and sequentially to the production server when the system is finally deployed. If a system undergoes 20 build cycles before an actual release, all 20 database integrations must be applied since the changes are made only once to the static database server. In the previous scenario, the migration scripts are formed against the currently released platform and are not incremental. The advantage is that only one set of migration scripts is required. The disadvantage is that the increments become larger, and therefore carry more risk since they are not in the spirit of CI. If you are going to implement database integration in a CI way, the final scenario is preferable in terms of the best process, although clearly there is some overhead to the actual deployment. With some cunning file manipulation, this could be made fairly seamless: if the deployment to the production server triggered the removal of the migration scripts rather than the build process, the correct scripts could be maintained together from release to release rather than build to build, though this will result in duplication of scripts in the code zip files (in the context of the current process). We could deal with this in a couple of ways, as we will see in a moment. With that in mind, publishing of database assets can be handled in the same way as the web assets: through the use of zip files and an HTTP-accessible folder for GETting prior to deployment.



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The query execution process is the implementation of the various relational theory operations. These operations include project, restrict, join, cross-product, union, and intersect. Few database systems implement union and intersect.

Note Union and intersect are not the same as the UNION operator in SQL. The union and intersect relational

The build process for the three solutions is the same for the most part. The main difference in terms of the defined process is that there are no unit tests in either of the user interface solutions. The only unit testing implemented is in the Etomic.Library.Transformer solution. Therefore, this activity is curtailed in the scripts for the other two solutions, though we can include the FxCop analysis as before.





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image If you do not have the CD-ROM that came with the Brother machine, you may also download and install PaperPort 12 for Windows XP, Vista, 7, 8 or 10 .

Figure 5-3. Using a single threshold to determine if an object is near leads to a flickering, unreliable measurement. The first graph shows the sensor distance readings; in the second graph, the value of the Boolean variable is true if the distance is lower than the threshold, and false otherwise. As you might have noticed, the distance readings that you get from your Ultrasonic Sensor are flickering. In fact, this sensor measures instant values of distance that change suddenly, moment by moment. Also, the Ultrasonic Sensor could measure a faraway distance even if the object is near, when the object that reflects the ultrasonic bursts has a corrugated surface. So, an object that was seen close a moment ago could not be seen by the sensor in the successive reading. The value of your Boolean variable would change constantly between true and false when the sensor reading is near the threshold value, as the preceding figure clearly shows. It would be desirable to filter all this flickering using two thresholds instead of one, thus getting a more stable Boolean result. Take a look at Figure 5-4, because a graph is better than a thousand words.

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operations are set operations whereas the UNION operator in SQL simply combines the results of two or more SELECT statements that have compatible result columns.

The deployment process is a different story. All three solutions have different specifics, although overall the process matches the use case described in the previous chapter. The differences relate to the delivery of different kinds of system: a web application, a Windows application, and an assembly. There are other possibilities, too, such as Windows services and web services, but these are probably the most common and therefore represent a good starting point. The main differences are as follows:

Writing algorithms to implement these operations is very straightforward and often omitted from relational theory and database systems texts. It is unfortunate that the algorithms are omitted because the join operation is nontrivial. The following sections describe the basic algorithms for the relational operations.

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