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03-037217 · 33 items · Una Loca Competencia DvdriplatinolQ:
How to set cookies on Dynamic Target in Google App Engine
I want to set a cookie on my app’s user object.
In GAE Cookbook I read that target should be dynamic. Here’s an example in the cookbook.
How can I do that?
A:
Setting a cookie is exactly the same as on any other servlet:
response.setHeader(“Set-Cookie”, “name=value;”);
You can also use an HttpServletResponseWrapper to pass the response as an argument to your next method:
Cookie cookie = new Cookie(“name”, “value”);
HttpServletResponse response = new HttpServletResponseWrapper(response) {
@Override
public void setStatus(int status) {
// do your cookie set here
}
};
Then you can do all the same stuff as in the cookbook.
In general, the closest way to a cookie in GAE is the Host-Only cookie. If you want to know more about cookies in GAE, see Cookies.
Background
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Since the introduction of the thoracoscopic approach to pectus excavatum repair (T-PE) in the 1990s, there has been increased recognition of the natural history of this disease. Although surgical resection may be required to relieve symptoms in these patients, the timing and necessity of surgical correction is controversial. A recent study demonstrated that T-PE repairs may be performed on an outpatient basis without increasing complications or recurrence rates. However, patients who remain symptomatic are still recommended to have surgical resection and recurrence is frequent in this group. The successful correction of pectus excavatum may depend on the amount of deformed sternum and the position of the thoracic cage \[[@b1-amjcaserep-19-20]–[@b3-amjcaserep-19-20]\]. We present a case of a patient who had T-PE repair after chemoradiotherapy for the treatment of lung cancer. The patient achieved complete healing and had no surgical complications. To our knowledge, this is the first reported case of a patient with lung cancer and T-PE repair
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https://colab.research.google.com/drive/1o0c8jh2LuLQDisn4gxZcbvjY5lXMZBjE
https://documenter.getpostman.com/view/21888352/UzdzSQ6c
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https://colab.research.google.com/drive/1dQP7YQyPSHgNC6oPJNUO2hcezEybM_RS
https://colab.research.google.com/drive/1OlKtm2GYmwwlHAQVT7wROTA1uI8uMJqd
https://ello.co/7specbizstagmi/post/k-5me8fuzb8m1wppg76c0a
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El área de la computadora y el ordenador.Q:
Anatomy of a read operation in Persistence layer
Does anyone know the general reading pattern of the persistence layer in a
object-relational mapping application when writing for a traditional database (e.g. Oracle) and how the same can be achieved for an alternative persistence layer (e.g. Cassandra)?
For a traditional database, it is the common practice to deal with the persistence layer as just a simple relationship between objects and the database via the use of JDBC.
For an alternative persistence layer, the persistence is implemented as objects that can be accessed by the application to read and write and it is more of a message passing pattern.
With this knowledge of the general reading pattern for a traditional database, how should this “message passing pattern” be accessed? Should a dedicated user-space read-only table be used so that access is one way (and fast) in order to ensure the application does not have to wait for the results from the persistence layer.
Or should a generic read access be used so that the application does not have to know or worry about the mechanics of how the results are to be interpreted?
A:
There is no one “general pattern” for relational database access. Each datastore has its own requirements and style of programming. Some allow only a single user, others allow a read-write model. Some are concerned with schema and consistency, others are concerned with flexibility, and the list goes on.
If you’re writing a small, embedded app, then what you’re describing is the way to go. You fetch the data, you work with it, and you shut it down. It’s a small program, so you don’t need to worry about so many things.
If you’re writing a service, your system should operate much like a web server. You’re going to be around for a while, so you don’t want to cut corners. You need to worry about the service lifetime, the consistency of the data, performance, etc.
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