BNM | Towards Discriminability and Diversity : Batch Nuclear | Machine Learning library

Convert the object to an array of [key, values] entries using Object.entries(), and reduce the entries a new array. Map the current array of values, and create a string for each val with the current key.

If the accumulator (acc) is empty, return the create an array of strings. If the acc is not empty, iterate it with Array.flatMap(), map the array of values of the current entry (arr), and combine the strings.

This is how it can be done.

Assuming you want to explode all ArrayType columns (otherwise, filter accordingly):

Without a preprocessor you can reduce the code using a CSS variable, e.g.

I would break the problem down into two steps:

• step 1 does a select distinct(parent) from your_table and stores the result in the job execution context (the result is a list of Strings or IDs, not entire items, so it's fine to store them in the execution context in order to share them with the next step)
• step 2 reads parent IDs from the execution context and iterate over them using an item reader. An item processor would enrich each item with its children before passing enriched items to a StaxEventItemWriter

Query the .ngroups attribute, at least 1 group should be present for >= 1 rows:

The problem is your program is sitting idle while requests is waiting for a response. Since waiting for network IO is likely the bottlenext, I don't think apply or numpy are going to give you much speed up. The two optimizations I can think of would be to either use a ThreadPool that takes care of doing all of the requests, while your main loop chugs through its list. Or to use async to make the requests asynchronously so that while it's waiting on the responses, you can carry on with the list.

For the thread pool, you could create a Thread safe queue that your main thread pushes to. And then a thread pool of threads that pop off the next item and makes the request and process the result.

find returns None if there's no element matching the criteria. Then, when you try to call .text on the result, it fails with the error you've seen.

One idea could be to wrap this with a function that handles that case:

Try this: