acquisition | Acquisition is an inventory management tool for Path

I have a simple cammunda spring boot application. which I want to run in a docker container

I am able to run it locally from IntelliJ but when I try to run it inside a docker it fails with below error message:

08043 Exception while performing 'Deployment of Process Application camundaApplication' => 'Deployment of process archive 'ct-camunda': The deployment contains definitions with the same key 'ct-camunda' (id attribute), this is not allowed

docker-compose.yml

I use the standard go library golang.org/x/oauth2 to acquire an OAuth2 token from Microsoft users.

This is the oauth2 config I use:

So I am working on a GUI (PyQt5) and I am multi-threading to be able to do data acquisition and real-time plotting concurrently.

Long story short, all works fine apart from stopping the thread that handles the data acquisition, which loops continuously and calls PySerial to read the com port. When a button on the GUI is pressed, I want to break the while loop within the thread so as to stop reading the com port and allow the com port to be closed safely.

Currently, none of the methods I have tried manage to gracefully exit the while loop inside the thread, which causes all kinds of errors with the PySerial library and the closed com port/ attempted reading in the thread. Here is what I have tried:

• Using a class variable (self.serial_flag) and changing its state when the button is pressed. The thread loop then looks like this: while self.serial_flag:
• Using a global variable (serial_flag = False at top of the script). Defining global serial_flag at the top of the threaded function and same condition: while serial_flag:
• Using a shared memory variable: from multiprocessing import Value, then defining serial_flag = Value('i', 0) then in the loop checking while serial_flag.value == 0:
• Using threading.Event to set an event and use that as a break condition. Defining: serial_flag = threading.Event() and inside the thread while loop: if serial_flag.is_set(): break

None of these seem to work in breaking the while loop and I promise I have done my homework in researching solutions for this type of thing - I feel like there is something basic that I am doing wrong with my multithreading application. Here are the parts of the GUI that call/ deal with the thread (with my latest attempt using threading.Event):

It is possible to use org.apache.spark.sql.delta.sources.DeltaDataSource directly to ingest data continuously in append mode ?

Is there another more suitable approach? My concern is about latency and scalability since the data acquisition frequency can reach 30 KHz in each vibration sensor and there are several of them and I need to record the raw data in Delta Lake for FFT and Wavelet analysis, among others.

In my architecture the data ingestion is done continuously in a Spark application while the analyzes are performed in another independent Spark application with on-demand queries.

If there is no solution for Delta Lake, a solution for Apache Parquet would work because it will be possible to create Datasets in Delta Lake from data stored in Parquet Datasets.

I have the following situation:

1. Datasets are generated by an external device, at varying intervals (between 0.1s and 90s). The code sleeps between acquisitions.

2. Each dataset needs to be post-processed (which is CPU-bound, single-threaded and requires 10s to 20s). Post-processing should not block (1).

3. Acquisition and post-processing should work asynchronously and whenever one dataset is done, I want to update a pyplot graph in a Jupyter notebook (currently using ipython widgets), with the data from the post-processing. The plotting should also not block (1).

Doing (1) and (2) serially is easy to do: I acquire all datasets, storing it in a list, then process each item, then display.

I don't know how to set this up in a parallel way and how to start. Do I use callback functions? Do callbacks work across processes? How do I set up the correct amount of processes (acquisition in one, processing and plotting the rest for each core). Can all processes modify the same list of all datasets? Is there a better data structure to use? Can it be done in Python?

I am using Spark 3.1.2 and have created a cluster with 4 executors each with 15 cores.

My total number of partitions therefore should be 60, yet only 30 are assigned.

The job starts as follows, requesting 4 executors

I am working on an STM32F401 MC for audio acquisition and I am trying to send the audio data(384 bytes exactly) from ISR to a task using queues. The frequency of the ISR is too high and hence I believe some data is dropped due to the queue being full. The audio recorded from running the code is noisy. Is there any easier way to send large amounts of data from an ISR to a task?

The RTOS used is FreeRTOS and the ISR is the DMA callback from the I2S mic peripheral.

I am trying to implement a printAnimals() method that prints the ArrayList for dogs or prints the ArrayList for monkeys, or prints all animals whose training status is "in service" and whose is Not reserved, depending on the input you enter in the menu. I am trying to correctly write a for loop for both ArrayList that contains if statements, so it will print whatever item in the ArrayList meets the conditions, which are that their trainingStatus equals "in service" and that reserved = false.

I currently have an error under printAnimals() method that says "The method dogList(int) is undefined for type Driver" and another error message that says "The method monkeyList(int) is undefined for type Driver". Do you know how to correctly type a for loop that iterates through an ArrayList and has if statements? Here is the code I have so far:

UPDATED I have made a force directed graph using D3.js. Each node corresponds to a company, and each link corresponds how they are related to each other according to the link color. What I would like to achieve is to use the image URLs within "nodes" data and show a different image for each bubble. Currently I was able to set a fixed static/identical image for all of my bubbles. I tried to connect the pattern to my "nodes" data, but unsuccessfully which ended up in an infinite loop.

Simple HTML canvas for my svg and two buttons for the zoom in and zoom out by click.