Hello, I am Laszlo

SkipInitLocal or ArrayPool

03/05/2022

Many data processing algorithms require a temporary data storage for certain operations. I have been recently working with one such algorithm in the sound processing domain. In my case a fixed sized temporary byte array has been required for a method execution. In a performance sensitive code, one would prefer to achieve a non-allocating solution for this problem.

In the particular case it was a tight loop for processing live sound data. Allocating a new array for every iteration of the loop is excessive. However, I could also not use a pre-allocated array for the purpose, due to the structure of the code. There are still a few options to acquire a temporary array:

• using an ArrayPool

• allocating on the stack with stackalloc

ArrayPool type provides a shared pool of arrays, from which a developer might rent an array, and return it once it is no longer needed. This array exists on the heap as a regular array, and the ArrayPool makes sure to provide an array when renting which is at least the size asked for. Because the array is returned to the pool after usage, the next iteration of the algorithm may re-use the same array, avoiding any excess allocation.

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The wrong answer for a performance question

02/20/2022

At a recent event I have challenged a design and implementation from performance point of view. My concern was using the C# decimal type over double when there was no need for it from number- precision, calculation, or representation side. I was curious if the developers have made their "due diligence" and compared the performance impact of choosing one type over another.

To summarize the answer to my questions in short, no measurements were made by the developers. However, to address my curiosity, I was told that the operation in question "only takes a few seconds" and it was also demonstrated by clicking a button that triggers the operation and a few seconds later the results were displayed. All good, business stakeholders were happy, and the event continued. It was not a forum to get into a deeper discussion about this answer. I have seen similar responses in the past, but unfortunately, I cannot think of a single aspect of the response that would be answering the question.

First, a single click and a demonstration of the operation is not a performance measurement. No numbers were involved, no resource utilization was measured, no throughput and latency has been calculated. Moreover, you cannot even reason about these numbers from a single request. Second, the business has not set any performance goals. Third, the demonstration happened on a test environment with minimal test data and a single user putting load on the system. Finally, I asked for a performance comparison between two implementations, but the answer and the demonstration did not touch this aspect.

Because I do not have the environment and the code to run and measure such operation, I will have to rely on generic reasoning and assumptions to explain why I was eager to see such performance comparison.

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Faster Bound Checks

02/06/2022

In a recent pull request I received some comments on how to do bound checks better when indexing into arrays. The original code received a span and an index (scan). If the index was larger to the span's length, it returned minus one. Otherwise it indexes into the buffer and does a further lookup.

private static int ReadHex(int scan, ReadOnlySpan<char> buffer)
{
    if (scan >= buffer.Length)
        return -1;
    int c = buffer[scan];
    return c >= CharToHexLookup.Length ? -1 : CharToHexLookup[c];
}

After implementing the suggestion, the code looks nearly identical, but it is using uint types for the comparing the index variable with the length of the bugger:

private static int ReadHex(int scan, ReadOnlySpan<char> buffer)
{
    if ((uint)scan >= (uint)buffer.Length)
        return -1;
    int c = buffer[scan];
    return c >= CharToHexLookup.Length ? -1 : CharToHexLookup[c];
}

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A Better way to Automate with Alexa

01/16/2022

Recently a started a new habit: I take a train in the mornings to get to the office to work. The train comes at every half an hour, which means I don't want to miss it. To be on the safe side, I had to come up with a solution. The route to the train station is well predictable, it just a few minutes on foot. Trains usually, don't come early so the only variable left is the waiting time on the elevator. After all, the minimum and maximum time to get to the station is within narrow boundaries.

Initial Approach

I decided that some sort of a reminder could help to remind to get going on time. To create a reminder to leave, the simplest and easiest solution is to set an alarm exactly 10 minutes before the train usually arrives to the station. However, I am not a fan of the solution as if the alarm goes off, I have to manually disarm it, which is an extra effort to do, when I should prepare for leaving the flat.

Notifications

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JsonMergePatch and .NET6

12/18/2021

In a previous post I have shown how JsonMergePatch library can be used with console and Asp.Net Core applications.

In this post I will focus on using it with the source generator hand-in-hand of System.Text.Json. Before getting into the details, a new [Patchable] attribute is introduced ease the work:

Patchable

Certain use-cases require to generate wrapper types with the source generation for assemblies that do not directly use Patch<T> (where T is the wrapped source type). This could be a reason for having separate assemblies for entity types, or because of the need of stacking multiple source generators on top of each other.In this case types may be attributed with [Patchable] attribute:

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