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In the real_write_row() method you can see another field iterator. This iterator is iterating through the binary large objects (BLOB) fields and writing those to disk using the compression method. If you need to support BLOB fields, this is an excellent example of how to do so just substitute your low-level IO call for the compression method. Go ahead and let the code continue; then return to your MySQL client and enter the following command: SELECT * FROM testarc; The next place the code halts is in the rnd_next() method. This is where the handler reads the data file and returns the data in the record buffer (byte *buf). Notice again that the code sets some statistics, does error checking, and then reads the data using the get_row() method. Step through this code a bit and then let it continue. What a surprise! The code halts again at the rnd_next() method. This is because the rnd_next() method is one of a series of calls for a table scan. The method is responsible not only for reading the data but also for detecting the end of the file. Thus, in the example you re working through there should be two calls to the method. The first retrieves the first row of data and the second detects the end of the file (you inserted only one row). The following lists the typical sequence of calls for a table scan using the example you ve been working through: ha_spartan::info ha_spartan::rnd_init ha_spartan::extra ha_spartan::rnd_next ha_spartan::rnd_next ha_spartan::extra +------+------+------+ | a | b | c | +------+------+------+ | 10 | test | -1 | +------+------+------+ 1 row in set (26.25 sec)



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Figure 1-3. Automated delivery process Later, we will also look at continuous integration (CI) as a potential process. As its name suggests, CI provides integration as required. Using CI can provide additional structure to the automatic delivery process because it includes a set of feedback and measures. Perhaps CI can be thought of as a goal for our processes.

Note The time returned from the query is actual elapsed time as recorded by the server and not execution

CHAPTER 8 JOHNNXT IS ALIVE!

Take some time and place breakpoints on other methods that may interest you. You can also spend some time reading the comments in this storage engine as they provide excellent clues to how some of the handler methods are used.





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CI itself has issues. We will look at these in 6 when we consider the principles, techniques, and tools in more detail. The primary issue is that it cannot necessarily go far enough to provide a full delivery process. This is simply because you would not want it to: automating production releases is dangerous and could lead to a great deal of trouble, perhaps even in nonproduction environments. It is best to have a human in the way as a final safeguard. Thus CI is a goal for building and integration only or so it seems. Perhaps the true point of CI is that you can build and integrate when you want. In that case, we want to be able to do the same thing with deployment, but just not continuously. The purpose of CI is to reduce integration problems through a reproducible build, and therefore this purpose is aligned with reducing deployment problems through a reproducible release.

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I chose for the tutorial on storage engines the concept of a basic storage engine that has all the features that a normal storage engine would have. This includes reading and writing data with index support. That is to say, it is a stage 5 engine. I call this sample storage engine the Spartan

CHAPTER 8 JOHNNXT IS ALIVE!

Apart from process problems, a variety of problems from other sources cause headaches for delivery. Once again, on the face of it each problem may not seem very significant, or at least a solution might be obvious. But in a real situation, these problems can be difficult to solve owing to the fluid nature of the business. As we have seen with the Etomic scenario, the situation has developed over time: small-scale decisions have led to situations that are difficult to clarify. We can explore the form these take here. The majority of these issues relate to serverbased projects representing the bread and butter of Etomic, although some are applicable to any piece of software.

storage engine because in many ways it implements only the basic necessities for a viable database storage mechanism. I ll guide you through the process of building the Spartan storage using the example (ha_example) MySQL storage engine. I ll refer you to the other storage engines for additional information as I progress through the tutorial. While you may find areas that you think could be improved upon (and indeed there are several), you should refrain from making any enhancements to the Spartan engine until you have it successfully implemented to the stage 5 level. Let s begin by examining the supporting class files for the Spartan storage engine.

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