As for the first approach, printing an array line by line using a for loop as in the first example, it would work fine for arrays of sizes in the millions. The complexity of the algorithm is O(n), where n is the size of the array, which means it will take n steps to process the entire array. This means that if the size of the array is very large, the operation might take a considerable amount of time, but it's still a viable option for arrays of millions of elements.

Other approaches to consider for printing large arrays include:

Parallel processing: You could divide the array into smaller chunks and process them in parallel. This will speed up the processing time. However, parallel processing requires more memory and might be more complicated to implement.

Streaming: Instead of processing the entire array at once, you could stream the elements one by one and process them as they arrive. This would reduce the memory requirements, but the processing time might be slightly longer as it requires additional I/O operations.

Using libraries: There are libraries available that can help you process large arrays in a more efficient way. For example, Apache Arrow provides a fast and memory-efficient data structure for processing large arrays of data.

In conclusion, the approach of printing an array line by line using a for loop is a good option for arrays of millions of elements, but there are other options available that might be more suitable for your specific use case depending on your requirements such as memory, processing time, and complexity.
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