orko | script multiple crypto exchanges from a single user | Cryptocurrency library
kandi X-RAY | orko Summary
kandi X-RAY | orko Summary
Fed up of logging into multiple separate cryptocurrency exchanges? Frustrated by missing features? Want to use advanced order types such as trailing stops on exchanges that don't support them?. Orko is a self hosted web application which provides a unified dashboard to control numerous cryptocurrency exchanges, allowing you to trade and manage your portfolio, even if it is spread across multiple exchanges, all from one screen. It works seamlessly on desktop and mobile, so you can have the same trading experience wherever you go. All this without sharing your API keys with anyone. Feel like creating your own special order types, such as soft stops, stops triggered off the price of a different asset, or a "Nuke" button which sells all your alt positions? Orko features a scripting API allowing you to design your own bespoke order types. Best of all, it's completely free (as in "free speech" as well as "free beer"). Read about some more things it can do.
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QUESTION
I'm trying to implement categories in my Ruby on Rails Blog, but receive some error when trying to create new article. Couldn't find Article without an ID, ActiveRecord:RecordNotFound in ArticlesController#new
Here is my Article controller code is:
...ANSWER
Answered 2019-Mar-11 at 13:39In this params you have added :search method. Kindly remove the search method and check it.
QUESTION
The class AnagramGameDefault simulates an anagram game.
The submitScore() should recalculate the positions, the one with highest score has position 1, there can be several players on the same position.
The getLeaderBoard() fetches the entry for a user plus two above and two below.
The concerns I have :
- I tested the code for multiple threads and I guess it's working but I would like to know if there are some race conditions or failure in sharing state in the code
I have used quite a stringent mutually exclusive locking by using 'synchronized'. I don't think this can be avoided as submitScore() and getLeaderBoard() rely heavily on sorting and correct positions of score but is there a possibility ? I read a bit about ReentrantLock but it's more suitable where there are multiple reads and lesser writes, in this case, even the reads need calculations.
...
ANSWER
Answered 2017-Sep-17 at 19:00It seems the only shared state you have in the whole thing is leaderBoardUserEntryMap
. You synchronize on it when updating in sortLeaderBoard
. In getLeaderBoard
for some reason you don't yet synchronize on it when checking if (!leaderBoardUserEntryMap.containsKey(uid))
. That's minor, but you should do it as well. Later, you synchronize on it when constructing the leader board.
From this point of view your synchronization seems adequate.
What I find a bit problematic is that your Entry
is mutable and stores position
. This makes your update operation more problematic. You have to re-sort and re-set positions on every update. And you're locking all other update or even read operations. I'd avoid mutable objects in multithreaded code.
I'd use a SortedSet
instead and let the implementation handle sorting. To find out the position of the element you'd just do set.headSet(element).size() + 1
. So no need to store position at all.
I initially wanted to suggest using concurrent collection implementations like ConcurrentHashSet
which would allow "full concurrency of retrievals and adjustable expected concurrency for updates". Basically, retrievals could be non-blocking, only updates were.
However, this won't help much as your "retrieval" logic (creating the leader board around target entry) is not so simple and involves several reads. So I think it's better not use concurrent collections but instead actually synchronize on the collection and make updates and retrievals as compact as possible. If you give up on the idea of having position
in Entry
then update is a trivial add
. Then you'll only need to read entries around the entry as fast as possible (within the synchronized block). This should be quite fast with tree sets.
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