You know, if this was a test on disk space consumption, I'd bring a forklift to the exam room. Just in case I need to move all the files around. *chuckles*
Ooh, good point! I'm torn between the Metadata and Inverted index options. I guess it really depends on the specifics of the use case and the data being indexed.
Ah, but don't forget about the Inverted index (.tsidx) file! That's where the actual indexing magic happens, and with large datasets, those files can get huge.
You both make good points, but I'm leaning towards the Metadata (.data) file type. That's where all the additional information about the indexed data is stored, and that can really add up, especially for complex indices.
I'm not so sure about that. Bloom filters are known to be space-intensive, especially if you have a large index. I could see that being the biggest consumer of disk space.
Hmm, this is an interesting question. I think the Rawdata file type would consume the most disk space, as it contains the actual data being indexed, which can be quite large.
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