ponder | Lua binding , and JSON and XML serialisation | Reflection library

You used "https://...." for the profile picture, but if your development server is on "http://...", then the profile picture won't show up due to cross-protocol restrictions.

Change to

You can use a pureComputed that loops over the ContentGrid array to create a group per unique product.

The example below shows:

• Create a Map to hold the groups. Its keys refer to a product and its values will be parts of your grid (i.e. partial ContentGrids)
• Iterate over the rows of the grid using for ... of
• Iterate over all products in the row using for ... of
• Ensure there's an empty array (= content grid) in the Map
• Ensure this row gets logged in this product's group

To make it easier to render the groups to the UI, I transform the Map instance in to an array of viewmodels. Each group gets a model with a

• title referring to the product
• rows referring to the parts of the grid that matched this product.

As you can see this grouping will duplicate rows that have multiple products. If you want to implement a different grouping strategy, you'll likely want to update the inner loop.

I don't think there is a safe and supported way to do that (without catalog modifications). Fortunately, there is nothing special about sequences that would make dropping them a problem. So take a short down time and:

• remove the default value that uses the identity sequence

• record the current value of the sequence

• drop the table

• create a new sequence with an appropriate START value

• use the new sequence to set new default values

If you want an identity column, you should define it on the partitioned table, not on one of the partitions.

You are printing to cout as if the async operations happen immediately. That's not the case. The async operations only happen when the io service runs.

You can use recurrence trigger in the logic app to trigger the workflow for every three weeks on Monday .

For more information about recurrence trigger you can refer this documentation.

Updated Answer:

As per the requirement, we have created a logic app with recurrence as a trigger & frequency as day. This workflow will fires every day and will validates whether current date is in between (3,4,5) or not. if the condition is succeeded it will further executes the logic app actions.

Here is the logic app that we have created:

Here is the code view of the logic app:

If you are running into performance issues, one area you may want to investigate is how you are chaining array functions (map, filter, flat, etc). Each call to one of these functions creates an intermediate collection based on the array it receives. (For instance, if we chained 2 map functions, this is looping through the full array twice). You could increase performance by creating one loop and adding items into a collection. (Here's an article that touches on this being a motivation for transducers.)

I haven't encountered a performance issue with this before, but you may also want to remove spread (...) when unnecessary.

Here is my take on those adjustments on makeTrackObjects.

Update

I also noticed that you are using includes while iterating through an array. This is effectively O(n^2) time complexity because each item will be scanned against the full array. One way to mitigate is to instead use a Set to check if that content already exists, turning this into O(n) time complexity.

You should specify the page in your API request. Unfortunately, the API Doc doesn't seem to be available yet.
However according to this example on Github, you should be able to get any page with pageNum=.
You should be able to append all rows to df with the following:

I recommend Jaeger.

Jaeger is open source software for tracing transactions between distributed services. It’s used for monitoring and troubleshooting complex Microservices environments. Now ServiceMesh is becoming more and more popular at Microservice field, jaeger has become one of the recommended project to work with ServiceMesh.

Jaeger architecture: https://www.jaegertracing.io/docs/1.28/architecture/

Install Jaeger on Kubernetes: https://www.jaegertracing.io/docs/1.28/operator/

Jaeger with SpringBoot: https://medium.com/xebia-engineering/jaeger-integration-with-spring-boot-application-3c6ec4a96a6f

What is the idea beneath mixing approach?

This should work