internment | Interning of data in rust
kandi X-RAY | internment Summary
kandi X-RAY | internment Summary
A very easy to use library for interning strings or other data in rust. Interned data is very efficient to either hash or compare for equality (just a pointer comparison). Data is also automatically de-duplicated.
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QUESTION
I am studying the streams API for Java and from what I see,is highly recommend that I use several methods to change a collection with a stream, besides it is very good that with this api I stop using loops, but I was wondering, each method of a stream does not perform the necessary loops internment? Doesn't it end up being detrimental to the performance (of applications that demand a good performance) that I use stream? In many cases I could make more than one necessary modification to the collection in just one loop.
But I also imagine that the developers of JDK and JVM also performed their black magic to prevent this. If so, what are the details of this magic?
...ANSWER
Answered 2020-Apr-18 at 08:48Each method in stream API does not create a new loop... it combines methods and executes them in single loop once it hits termination method (like collect
).
From the documentation:
Stream operations are divided into intermediate and terminal operations, and are combined to form stream pipelines. A stream pipeline consists of a source (such as a Collection, an array, a generator function, or an I/O channel); followed by zero or more intermediate operations such as Stream.filter or Stream.map; and a terminal operation such as Stream.forEach or Stream.reduce.
Processing streams lazily allows for significant efficiencies; in a pipeline such as the filter-map-sum example above, filtering, mapping, and summing can be fused into a single pass on the data, with minimal intermediate state. Laziness also allows avoiding examining all the data when it is not necessary; for operations such as "find the first string longer than 1000 characters", it is only necessary to examine just enough strings to find one that has the desired characteristics without examining all of the strings available from the source. (This behavior becomes even more important when the input stream is infinite and not merely large.)
The only method that creates new loop is flatMap
.
Other than that, yes streams are slower, but not by much. They are far easier to read, write, modify though. And to add to that, they are encourage immutability, which is a trade-off of performance for less buggy code.
QUESTION
I'm writing an app which makes unfortunately requires two API calls to complete one object. One call to TMDB to get a list of movies currently in theaters,and then another one to TMDB with the TMDB ID of each movie to get the IMDB ID.
I might also later want to make a third call to OMDB to get the data from there as that's the data we're using on the movie page itself.
I'm new to RXJava and fairly new to Retrofit. I did this the old fashioned way (well, I used OKHTTP) but i'd like to switch to a more elegant version with RXJava and this seems like the perfect use case to me.
Sample First API Call
...ANSWER
Answered 2018-Aug-24 at 02:45Do a combineLatest
on the three network calls and wrap them in an object, then in subscribe pull the values out into your final object and send it to your presenter or display or other business logic
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Install internment
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
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