streaming | Source code using Apache Kafka | Pub Sub library

I am working on a Instagram face filter/effect with SparkAR. It is successfully uploaded, approved and works just fine when across many devices when I try the effect in the Instagram app. I can select the effect when creating a Story however – I cannot when doing a Live stream. The effect symbol doesn’t show up nor can I select it when searching for the effect, while all the other effects are still there.

One user reported that she was able to select the effect during Live on her Android device. But at least on iOS devices it seems to be impossible to find or select the effect.

Are there any differences between Live and Non-Live effects? Or between iOS and Android effects? Has anyone had the same problem before? How can I make sure that my effect is available for Live streaming?

Thank you for any hints!

We are using stream ingestion from Event Hubs to Azure Data Explorer. The Documentation states the following:

The streaming ingestion operation completes in under 10 seconds, and your data is immediately available for query after completion.

I am also aware of the limitations such as

Streaming ingestion performance and capacity scales with increased VM and cluster sizes. The number of concurrent ingestion requests is limited to six per core. For example, for 16 core SKUs, such as D14 and L16, the maximal supported load is 96 concurrent ingestion requests. For two core SKUs, such as D11, the maximal supported load is 12 concurrent ingestion requests.

But we are currently experiencing ingestion latency of 5 minutes (as shown on the Azure Metrics) and see that data is actually available for quering 10 minutes after ingestion.

Our Dev Environment is the cheapest SKU Dev(No SLA)_Standard_D11_v2 but given that we only ingest ~5000 Events per day (per metric "Events Received") in this environment this latency is very high and not usable in the streaming scenario where we need to have the data available < 1 minute for queries.

Is this the latency we have to expect from the Dev Environment or are the any tweaks we can apply in order to achieve lower latency also in those environments? How will latency behave with a production environment loke Standard_D12_v2? Do we have to expect those high numbers there as well or is there a fundamental difference in behavior between Dev/test and Production Environments in this concern?

I followed the instructions at Structured Streaming + Kafka and built a program that receives data streams sent from kafka as input, when I receive the data stream I want to pass it to SparkSession variable to do some query work with Spark SQL, so I extend the ForeachWriter class again as follows:

My bot is not responding to any commands except for the .purge command.
Here is my code.

I have a Python Apache Beam streaming pipeline running in Dataflow. It's reading from PubSub and writing to GCS. Sometimes I get errors like "Error in _start_upload while inserting file ...", which comes from:

I have master-slave (primary-standby) streaming replication set up on 2 physical nodes. Although the replication is working correctly and walsender and walreceiver both work fine, the files in the pg_wal folder on the slave node are not getting removed. This is a problem I have been facing every time I try to bring the slave node back after a crash. Here are the details of the problem:

postgresql.conf on master and slave/standby node

I'm new to Flutter and I have a question regarding a small project of mine.

I'm trying to show an image I'm receiving through a socket. I have an Uint8List representing the image matrix (not encoded in any way), and I have succeded transforming it into an Image widget with the following code:

I found an example in FLASK to transmit a video camera through the rtsp protocol in the web browser.

I tried to use this same example in the fastapi, but I'm not getting it. The image is frozen.

Example in Flask (Works normally):

I am working with nom version 6.1.2 and I am trying to parse Strings like A 2 1 2.

At the moment I would be happy to at least differentiate between input that fits the requirements and inputs which don't do that. (After that I would like to change the output to a tuple that has the "A" as first value and as second value a vector of the u16 numbers.)

The String always has to start with a capital A and after that there should be at least one space and after that one a number. Furthermore, there can be as much additional spaces and numbers as you want. It is just important to end with a number and not with a space. All numbers will be within the range of u16. I already wrote the following function: