Note: I'm new to both django and databases, so please excuse my ignorance.
I'm trying to implement a forum in django and wish to have sticky threads. The naive way that I was thinking of do this was to define the Thread model like this:
class Thread(models.Model):
title = models.CharField(max_length=max_title_length)
author = models.ForeignKey(Player, related_name="nonsticky_threads")
post_date = models.DateField()
parent = models.ForeignKey(Subsection, related_name="nonsticky_threads")
closed = models.BooleanField()
sticky = models.BooleanField()
and then to get the sticky threads, do something like this:
sticky_threads = Thread.objects.all().filter(sticky=True)
The problem is that at least theoretically this has O(n) complexity, which sounds bad. (Since sticky threads are always displayed on the first page, this query will be run fairly frequently) However, I don't know how database/django cleverness will affect the final performance or if it will still be bad.
My current alternative is to also create distinct Thread and Sticky_Thread classes:
class Thread(models.Model):
title = models.CharField(max_length=max_title_length)
author = models.ForeignKey(Player, related_name="nonsticky_threads")
post_date = models.DateField()
parent = models.ForeignKey(Subsection, related_name="nonsticky_threads")
closed = models.BooleanField()
class Sticky_Thread(models.Model):
title = models.CharField(max_length=max_title_length)
author = models.ForeignKey(Player, related_name="sticky_threads")
post_date = models.DateField()
parent = models.ForeignKey(Subsection, related_name="sticky_threads")
closed = models.BooleanField()
letting me grab the sticky threads in O(1) time no matter what. What I don't like about this approach is that now if I want to just get all of a player's threads, I have to implement a special threads property like this:
class Player(models.Model):
[snip]
#property
def threads(self):
return self.sticky_threads | self.nonsticky_threads
and this approach feels ugly.
Is there an obviously best way to imeplement something like this? Do I just need to do timings to see if the naive way is acceptable? (I'm implementing this as a learning exercise, so I don't really have hard limits, making this check a little difficult) (If so, how would you recommend I do that? (IS something like timeit the bast way?) Is there a better alternative?
Thanks!
Your analysis of the complexity of those two operations is way off. It's simply not true to classify the filter operation as O(n) and the two separate classes as O(1) - I don't know what you're using to make that distinction. Databases are highly optimized for selecting on individual criteria: an index on the sticky column will make the filter query almost exactly the same as querying for everything from a separate table.
The first way is without question the right way to go about this, as long as you ensure that your sticky column is indexed.
Related
Our use case could be described as a variant of 1D bin packing or sheet cutting.
Imagine a drywall with a beam framing.
We want to optimize the number and size of gypsum boards that would be needed to cover the wall.
Boards must start and end on a beam.
Boards must not overlap (hard constraint).
Less (i.e. bigger) boards, the better (soft constraint).
What we currently do:
Pre-generate all possible boards and pass them as problem facts.
Let the solver pick the best subset of those (nullable planning variable).
First Fit Decreasing + Simulated Annealing
Even relatively small walls (~6m, less than 20 possible boards to pick from) take sometimes minutes and while we mostly get a feasible solution, it's rarely optimal.
Is there a better way to model that?
EDIT
Our current domain model looks like the following. Please note that the planning entity only holds the selected/picked material but nothing else. I.e. currently our planning entities are all equal, which kind of prevents any optimization that depends on planning entity difficulty.
data class Assignment(
#PlanningId
private val id: Long? = null,
#PlanningVariable(
valueRangeProviderRefs = ["materials"],
strengthComparatorClass = MaterialStrengthComparator::class,
nullable = true
)
var material: Material? = null
)
data class Material(
val start: Double,
val stop: Double,
)
Active (sub)pillar change and swap move selectors. See optaplanner docs section about move selectors (move neighorhoods). The default moves (single swap and single change) are probably getting stuck in local optima (and even though SA helps them escape those, those escapes are probably not efficient enough).
That should help, but a custom move to swap two subpillars of the almost the same size, might improve efficiency further.
Also, as you're using SA (Simulated Annealing), know that SA is parameter sensitive. Use optaplanner-benchmark to try multiple SA starting temp parameters with different dataset set sizes. Also compare it to a plain LA (Late Acceptance) in benchmarks too. LA isn't fickle like SA can be. (With fickle I don't mean unstable. I mean potential dataset size sensitive parameter tweaking.)
The requirements:
100k lines
One of the columns is not text - its custom painted with wxDC*.
The items addition is coming from another thread using wxThreadEvent.
Up until now I used wxDataViewListCtrl, but it takes too long to AppendItem 100 thousand time.
wxListCtrl (in virtual mode) does not have the ability to use wxDC* - please correct me if I am wrong.
The only thing I can think of is using wxDataViewCtrl + wxDataViewModel. But I can't understand how to add items.
I looked at the samples (https://github.com/wxWidgets/wxWidgets/tree/WX_3_0_BRANCH/samples/dataview), too complex for me.
I cant understand them.
I looked at the wiki (https://wiki.wxwidgets.org/WxDataViewCtrl), also too complex for me.
Can somebody please provide a very simple example of a wxDataViewCtrl + wxDataViewModel with one string column and one wxDC* column.
Thanks in advance.
P.S.
Per #HajoKirchhoff's request in the comments, I am posting some code:
// This is called from Rust 100k times.
extern "C" void Add_line_to_data_view_list_control(unsigned int index,
const char* date,
const char* sha1) {
wxThreadEvent evt(wxEVT_THREAD, 44);
evt.SetPayload(ViewListLine{index, std::string(date), std::string(sha1)});
wxQueueEvent(g_this, evt.Clone());
}
void TreeWidget::Add_line_to_data_view_list_control(wxThreadEvent& event) {
ViewListLine view_list_line = event.GetPayload<ViewListLine>();
wxVector<wxVariant> item;
item.push_back(wxVariant(static_cast<int>(view_list_line.index)));
item.push_back(wxVariant(view_list_line.date));
item.push_back(wxVariant(view_list_line.sha1));
AppendItem(item);
}
Appending 100k items to a control will always be slow. That's because it requires moving 100k items from your storage to the controls storage. A much better way for this amount of data is to have a "virtual" list control or wxGrid. In both cases the data is not actually transferred to the control. Instead when painting occurs, a callback function will transfer only the data required to paint. So for a 100k list you will only have "activity" for the 20-30 lines that are visible.
With wxListCtrl see https://docs.wxwidgets.org/3.0/classwx_list_ctrl.html, specify the wxLC_VIRTUAL flag, call SetItemCount and then provide/override
OnGetItemText
OnGetItemImage
OnGetItemColumnImage
Downside: You can only draw items contained in a wxImageList, since the OnGetItemImage return indizes into the list. So you cannot draw arbitrary items using a wxDC. Since the human eye will be overwhelmed with 100k different images anyway, this is usually acceptable. You may have to provide 20/30 different images beforehand, but you'll have a fast, flexible list.
That said, it is possible to override the OnPaint function and use that wxDC to draw anything in the list. But that'll get difficult pretty soon.
So an alternative would be to use wxGrid, create a wxGridTableBase derived class that acts as a bridge between the grid and your actual 100k data and create wxGridCellRenderer derived classes to render the actual data onscreen. The wxGridCellRenderer class will get a wxDC. This will give you more flexibility but is also much more complex than using a virtual wxListCtrl.
The full example of doing what you want will inevitably be relatively complex. But if you decompose in simple parts, it's really not that difficult: you do need to define a custom model, but if your list is flat, this basically just means returning the value of the item at the N-th position, as you can trivially implement all model methods related to the tree structure. An example of such a model, although with multiple columns can be found in the sample, so you just need to simplify it to a one (or two) column version.
Next, you are going to need a custom renderer too, but this is not difficult neither and, again, there is an example of this in the sample too.
If you have any concrete questions, you should ask them, but it's going to be difficult to do much better than what the sample shows and it does already show exactly what you want to do.
Thank you every one who replied!
#Vz.'s words "If you have any concrete questions, you should ask them" got me thinking and I took another look at the samples of wxWidgets. The full code can be found here. Look at the following classes:
TreeDataViewModel
TreeWidget
TreeCustomRenderer
I have spent plenty of time to find benefit of NSUserActivity over CoreSpotlight, whether i couldn't find anything practically.
Actually, it couldn't index our item, which we set through NSUserActivity. I have attached my snippet below, which supposed to work as per apple documentation,however it won't.
let personName = "Jon Doe"
let activity = NSUserActivity(activityType: "com.SearchAPIs.test”)
activity.userInfo = ["name": "Jon Doe"]
activity.title = person.name
let keywords = personName.componentsSeparatedByString(" ")
activity.keywords = Set(keywords)
activity.eligibleForSearch = true
activity.eligibleForPublicIndexing = true
activity.expirationDate = NSDate().dateByAddingTimeInterval(16666600)
activity.becomeCurrent()
I would like to find answer of
Why we need to use NSUserActivity in way of search, since it can be possible with CoreSpotlight?
According to Apple documentation
To guarantee that the activity and its metadata get indexed, you must hold a strong reference to the activity until it gets added to the index. There are two ways to do this: The first way is to assign the activity to a property in the controller object that creates the activity. The second way is to use the userActivity property of the UIResponder object. If you use the second way, you need to set the metadata—such as information in the userInfo property—in the updateUserActivityState: method; otherwise, the metadata you set on the activity will not be persisted.
You activity is deallocated before getting indexed and best to retain using self .
And the answer to your second question remains mystery to me.
Maybe its like the performance ,no of items in indexing, and importantly the public indexing which CoreSpotlight don't offer.We have to wait a little more to get the answer for your question.
In short, I'm trying to "sort" incoming results of using threadpooling as they finish. I have a functional solution, but there's no way in the world it's the best way to do it (it's prone to huge pauses). So here I am! I'll try to hit the bullet points of what's going on/what needs to happen and then post my current solution.
The intent of the code is to get information about files in a directory, and then write that to a text file.
I have a list (Counter.ListOfFiles) that is a list of the file paths sorted in a particular way. This is the guide that dictates the order I need to write to the text file.
I'm using a threadpool to collect the information about each file, create a stringbuilder with all of the text ready to write to the text file. I then call a procedure(SyncUpdate, inlcluded below), send the stringbuilder(strBld) from that thread along with the name of the path of the file that particular thread just wrote to the stringbuilder about(Xref).
The procedure includes a synclock to hold all the other threads until it finds a thread passing the correct information. That "correct" information being when the xref passed by the thread matches the first item in my list (FirstListItem). When that happens, I write to the text file, delete the first item in the list and do it again with the next thread.
The way I'm using the monitor is probably not great, in fact I have little doubt I'm using it in an offensively wanton manner. Basically while the xref (from the thread) <> the first item in my list, I'm doing a pulseall for the monitor. I originally was using monitor.wait, but it would eventually just give up trying to sort through the list, even when using a pulse elsewhere. I may have just been coding something awkwardly. Either way, I don't think it's going to change anything.
Basically the problem comes down to the fact that the monitor will pulse through all of the items it has in the queue, when there's a good chance the item I am looking for probably got passed to it somewhere earlier in the queue or whatever and it's now going to sort through all of the items again before looping back around to find a criteria that matches. The result of this is that my code will hit one of these and take a huge amount of time to complete.
I'm open to believing I'm just using the wrong tool for the job, or just not using tool I have correctly. I would strongly prefer some sort of threaded solution (unsurprisingly, it's much faster!). I've been messing around a bit with the Parallel Task functionality today, and a lot of the stuff looks promising, but I have even less experience with that vs. threadpool, and you can see how I'm abusing that! Maybe something with queue? You get the idea. I am directionless. Anything someone could suggest would be much appreciated. Thanks! Let me know if you need any additional information.
Private Sub SyncUpdateResource(strBld As Object, Xref As String)
SyncLock (CType(strBld, StringBuilder))
Dim FirstListitem As String = counter.ListOfFiles.First
Do While Xref <> FirstListitem
FirstListitem = Counter.ListOfFiles.First
'This makes the code much faster for reasons I can only guess at.
Thread.Sleep(5)
Monitor.PulseAll(CType(strBld, StringBuilder))
Loop
Dim strVol As String = Form1.Volname
Dim strLFPPath As String = Form1.txtPathDir
My.Computer.FileSystem.WriteAllText(strLFPPath & "\" & strVol & ".txt", strBld.ToString, True)
Counter.ListOfFiles.Remove(Xref)
End SyncLock
End Sub
This is a pretty typical multiple producer, single consumer application. The only wrinkle is that you have to order the results before they're written to the output. That's not difficult to do. So let's let that requirement slide for a moment.
The easiest way in .NET to implement a producer/consumer relationship is with BlockingCollection, which is a thread-safe FIFO queue. Basically, you do this:
In your case, the producer threads get items, do whatever processing they need to, and then put the item onto the queue. There's no need for any explicit synchronization--the BlockingCollection class implementation does that for you.
Your consumer pulls things from the queue and outputs them. You can see a really simple example of this in my article Simple Multithreading, Part 2. (Scroll down to the third example if you're just interested in the code.) That example just uses one producer and one consumer, but you can have N producers if you want.
Your requirements have a little wrinkle in that the consumer can't just write items to the file as it gets them. It has to make sure that it's writing them in the proper order. As I said, that's not too difficult to do.
What you want is a priority queue of some sort onto which you can place an item if it comes in out of order. Your priority queue can be a sorted list or even just a sequential list if the number of items you expect to get out of order isn't very large. That is, if you typically have only a half dozen items at a time that could be out of order, then a sequential list could work just fine.
I'd use a heap because it performs well. The .NET Framework doesn't supply a heap, but I have a simple one that works well for jobs like this. See A Generic BinaryHeap Class.
So here's how I'd write the consumer (the code is in pseudo-C#, but you can probably convert it easily enough).
The assumption here is that you have a BlockingCollection called sharedQueue that contains the items. The producers put items on that queue. Consumers do this:
var heap = new BinaryHeap<ItemType>();
foreach (var item in sharedQueue.GetConsumingEnumerable())
{
if (item.SequenceKey == expectedSequenceKey)
{
// output this item
// then check the heap to see if other items need to be output
expectedSequenceKey = expectedSequenceKey + 1;
while (heap.Count > 0 && heap.Peek().SequenceKey == expectedSequenceKey)
{
var heapItem = heap.RemoveRoot();
// output heapItem
expectedSequenceKey = expectedSequenceKey + 1;
}
}
else
{
// item is out of order
// put it on the heap
heap.Insert(item);
}
}
// if the heap contains items after everything is processed,
// then some error occurred.
One glaring problem with this approach as written is that the heap could grow without bound if one of your consumers crashes or goes into an infinite loop. But then, your other approach probably would suffer from that as well. If you think that's an issue, you'll have to add some way to skip an item that you think won't ever be forthcoming. Or kill the program. Or something.
If you don't have a binary heap or don't want to use one, you can do the same thing with a SortedList<ItemType>. SortedList will be faster than List, but slower than BinaryHeap if the number of items in the list is even moderately large (a couple dozen). Fewer than that and it's probably a wash.
I know that's a lot of info. I'm happy to answer any questions you might have.
I'm teaching/helping a student to program.
I remember the following process always helped me when I started; It looks pretty intuitive and I wonder if someone else have had a similar approach.
Read the problem and understand it ( of course ) .
Identify possible "functions" and variables.
Write how would I do it step by step ( algorithm )
Translate it into code, if there is something you cannot do, create a function that does it for you and keep moving.
With the time and practice I seem to have forgotten how hard it was to pass from problem description to a coding solution, but, by applying this method I managed to learn how to program.
So for a project description like:
A system has to calculate the price of an Item based on the following rules ( a description of the rules... client, discounts, availability etc.. etc.etc. )
I first step is to understand what the problem is.
Then identify the item, the rules the variables etc.
pseudo code something like:
function getPrice( itemPrice, quantity , clientAge, hourOfDay ) : int
if( hourOfDay > 18 ) then
discount = 5%
if( quantity > 10 ) then
discount = 5%
if( clientAge > 60 or < 18 ) then
discount = 5%
return item_price - discounts...
end
And then pass it to the programming language..
public class Problem1{
public int getPrice( int itemPrice, int quantity,hourOdDay ) {
int discount = 0;
if( hourOfDay > 10 ) {
// uh uh.. U don't know how to calculate percentage...
// create a function and move on.
discount += percentOf( 5, itemPriece );
.
.
.
you get the idea..
}
}
public int percentOf( int percent, int i ) {
// ....
}
}
Did you went on a similar approach?.. Did some one teach you a similar approach or did you discovered your self ( as I did :( )
I go via the test-driven approach.
1. I write down (on paper or plain text editor) a list of tests or specification that would satisfy the needs of the problem.
- simple calculations (no discounts and concessions) with:
- single item
- two items
- maximum number of items that doesn't have a discount
- calculate for discounts based on number of items
- buying 10 items gives you a 5% discount
- buying 15 items gives you a 7% discount
- etc.
- calculate based on hourly rates
- calculate morning rates
- calculate afternoon rates
- calculate evening rates
- calculate midnight rates
- calculate based on buyer's age
- children
- adults
- seniors
- calculate based on combinations
- buying 10 items in the afternoon
2. Look for the items that I think would be the easiest to implement and write a test for it. E.g single items looks easy
The sample using Nunit and C#.
[Test] public void SingleItems()
{
Assert.AreEqual(5, GetPrice(5, 1));
}
Implement that using:
public decimal GetPrice(decimal amount, int quantity)
{
return amount * quantity; // easy!
}
Then move on to the two items.
[Test]
public void TwoItemsItems()
{
Assert.AreEqual(10, GetPrice(5, 2));
}
The implementation still passes the test so move on to the next test.
3. Be always on the lookout for duplication and remove it. You are done when all the tests pass and you can no longer think of any test.
This doesn't guarantee that you will create the most efficient algorithm, but as long as you know what to test for and it all passes, it will guarantee that you are getting the right answers.
the old-school OO way:
write down a description of the problem and its solution
circle the nouns, these are candidate objects
draw boxes around the verbs, these are candidate messages
group the verbs with the nouns that would 'do' the action; list any other nouns that would be required to help
see if you can restate the solution using the form noun.verb(other nouns)
code it
[this method preceeds CRC cards, but its been so long (over 20 years) that I don't remember where i learned it]
when learning programming I don't think TDD is helpful. TDD is good later on when you have some concept of what programming is about, but for starters, having an environment where you write code and see the results in the quickest possible turn around time is the most important thing.
I'd go from problem statement to code instantly. Hack it around. Help the student see different ways of composing software / structuring algorithms. Teach the student to change their minds and rework the code. Try and teach a little bit about code aesthetics.
Once they can hack around code.... then introduce the idea of formal restructuring in terms of refactoring. Then introduce the idea of TDD as a way to make the process a bit more robust. But only once they are feeling comfortable in manipulating code to do what they want. Being able to specify tests is then somewhat easier at that stage. The reason is that TDD is about Design. When learning you don't really care so much about design but about what you can do, what toys do you have to play with, how do they work, how do you combine them together. Once you have a sense of that, then you want to think about design and thats when TDD really kicks in.
From there I'd start introducing micro patterns leading into design patterns
I did something similar.
Figure out the rules/logic.
Figure out the math.
Then try and code it.
After doing that for a couple of months it just gets internalized. You don't realize your doing it until you come up against a complex problem that requires you to break it down.
I start at the top and work my way down. Basically, I'll start by writing a high level procedure, sketch out the details inside of it, and then start filling in the details.
Say I had this problem (yoinked from project euler)
The sum of the squares of the first
ten natural numbers is, 1^2 + 2^2 +
... + 10^2 = 385
The square of the sum of the first ten
natural numbers is, (1 + 2 + ... +
10)^2 = 55^2 = 3025
Hence the difference between the sum
of the squares of the first ten
natural numbers and the square of the
sum is 3025 385 = 2640.
Find the difference between the sum of
the squares of the first one hundred
natural numbers and the square of the
sum.
So I start like this:
(display (- (sum-of-squares (list-to 10))
(square-of-sums (list-to 10))))
Now, in Scheme, there is no sum-of-squares, square-of-sums or list-to functions. So the next step would be to build each of those. In building each of those functions, I may find I need to abstract out more. I try to keep things simple so that each function only really does one thing. When I build some piece of functionality that is testable, I write a unit test for it. When I start noticing a logical grouping for some data, and the functions that act on them, I may push it into an object.
I've enjoyed TDD every since it was introduced to me. Helps me plan out my code, and it just puts me at ease having all my tests return with "success" every time I modify my code, letting me know I'm going home on time today!
Wishful thinking is probably the most important tool to solve complex problems. When in doubt, assume that a function exists to solve your problem (create a stub, at first). You'll come back to it later to expand it.
A good book for beginners looking for a process: Test Driven Development: By Example
My dad had a bunch of flow chart stencils that he used to make me use when he was first teaching me about programming. to this day I draw squares and diamonds to build out a logical process of how to analyze a problem.
I think there are about a dozen different heuristics I know of when it comes to programming and so I tend to go through the list at times with what I'm trying to do. At the start, it is important to know what is the desired end result and then try to work backwards to find it.
I remember an Algorithms class covering some of these ways like:
Reduce it to a known problem or trivial problem
Divide and conquer (MergeSort being a classic example here)
Use Data Structures that have the right functions (HeapSort being an example here)
Recursion (Knowing trivial solutions and being able to reduce to those)
Dynamic programming
Organizing a solution as well as testing it for odd situations, e.g. if someone thinks L should be a number, are what I'd usually use to test out the idea in pseudo code before writing it up.
Design patterns can be a handy set of tools to use for specific cases like where an Adapter is needed or organizing things into a state or strategy solution.
Yes.. well TDD did't existed ( or was not that popular ) when I began. Would be TDD the way to go to pass from problem description to code?... Is not that a little bit advanced? I mean, when a "future" developer hardly understand what a programming language is, wouldn't it be counterproductive?
What about hamcrest the make the transition from algorithm to code.
I think there's a better way to state your problem.
Instead of defining it as 'a system,' define what is expected in terms of user inputs and outputs.
"On a window, a user should select an item from a list, and a box should show him how much it costs."
Then, you can give him some of the factors determining the costs, including sample items and what their costs should end up being.
(this is also very much a TDD-like idea)
Keep in mind, if you get 5% off then another 5% off, you don't get 10% off. Rather, you pay 95% of 95%, which is 90.25%, or 9.75% off. So, you shouldn't add the percentage.