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1. Igetter more threads how to#
2. Igetter more threads software#
3. Igetter more threads code#
4. Igetter more threads download#

In contrast to volatile-mutable, the unsynchronized-mutable value might be stored in the CPU cache. The field marked with unsynchronized-mutable option is backed by a regular Java mutable field.Therefore, the volatile-mutable option is OK to be used when the field is going to be written to by one thread and read from multiple threads. This provides a data consistency guarantee that all threads will observe the updated value immediately 2. Volatile in Java means that the variable is stored in the main memory and not in the CPU cache. volatile-mutable means that field is going to be marked as volatile.What are the implications of those two deftype field options: I skipped the first part of the advice because I wanted to learn a good lesson.įor the second part my thinking was that if I used the options “correctly” I could consider myself an “expert” :-) The deftype docstring advices that the usage of both options is discouraged and are for “experts only”. The implementation class needs mutable state to hold one value.ĭeftype has two options for mutability of fields: volatile-mutable and unsynchronized-mutable. The Output interface defines behaviour, therefore I’ve chosen the deftype. Therefore, I aimed to implement my Output class in Clojure.Īlso, gen-class feels a bit “too much” for this little problem.

Igetter more threads code#

Igetter more threads how to#

It got me thinking about how to make something better.

the ArrayList will always hold just one value.Using an ArrayList in such a function might be OK for an example.īut for a library something more specialized is desired because of several reasons:

(.writeValueAsString mapper ^JsonNode (.get array-list 0)))) (.apply query (Scope/newChildScope root-scope) data Since Clojure functions doesn’t implement Output interface I can’t pass a function, therefore I’ve “translated” the code using reify approach as shown below: (defn query-json-node In the example an instance of ArrayList and some Java magic was used (we’ll talk about what and why in the appendix). The “translation” went as expected until I had to deal with a code that implements the Output interface: final List out = new ArrayList() I’ve taken a straightforward approach to create a Clojure library: just “translate” the necessary Java code to Clojure using the Java interop more or less verbatim, parameterize the hardcoded parts, refactor here and there, and the result would be a new library. The jackson-jq provides a nice example class that helped me to start implementing the wrapper. The exact use cases of the clj-jq are left out for future blog posts. IntroductionĪ Clojure library whose goal is to make it easy to embed a jq processor directly into an application and that this application can be compiled with the GraalVM native-image.Ĭlj-jq was intended to be a thin wrapper for the jackson-jq Java library. Note that this code snippet is a bit trimmed down for clarity. (.apply query (Scope/newEmptyScope) data output-container)

Igetter more threads download#

On the other hand, the integrated CD burner allows us to burn any file that we download with iGetter onto an optical disc without leaving the program.In this post let’s take a closer look at why the ^:unsynchronized-mutable is used in this Clojure code snippet and learn some Java in the process. One of the great functions of iGetter is to program the downloads, thus, you can capture downloads and program them every certain amount of time or at a specific time.

Igetter more threads software#

The browsers on which iGetter can integrate are Safari, Opera, Internet Explorer, and Firefox so that any file that can't be shown with the browser, it will be captured by this software so as to download it as fast as possible. Interesting download manager for PCĪs many download managers, iGetter includes a small window that is always in front with visual information about the speed, transfer quality, and others. Among them, the possibility to resume the downloads, divide the files that are being downloaded into parts to optimize the speed and integrate with the browser. IGetter is a download manager that adapts to any browser and that promises to implement various really interesting features.