Musicbrainz reduce memory used by processing by chunks #165
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This reverts commit e79de48.
…DMAL/linkedmusic-datalake into musicbrainz-reduce-memory-used
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Can you explain in the PR description how this solves the issue? Or this commit (fix: delete buggy code) would be a great place to have a message about what the buggy code was! |
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You could also try using a more efficient JSON library like ujson or orjson. The built-in json library is well known to be fine for quick tasks but mot great for speed or memory use. |
…DMAL/linkedmusic-datalake into musicbrainz-reduce-memory-used
musicbrainz/csv/convert_to_csv.py
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| CHUNK_SIZE = 4096 |
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Could this go at the top with the other configuration constant?
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Can you also add a comment on why you chose 4096?
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Can you also add a comment on why you chose 4096?
I don't know exactly, I think this could be any number not too large, but GPT and stack overflow all use something like 4096 and 8192, so I decided to use 4096.
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Can you also add a comment on why you chose 4096?
I don't know exactly, I think this could be any number not too large, but GPT and stack overflow all use something like 4096 and 8192, so I decided to use 4096.
So, comment that in the code: "4096 was chosen because ChatGPT and StackOverflow examples typically use 4096 or 8192."
In general, always comment (justify) why you chose a value or a method as opposed some other option.
change the type of recording from Q49017950 to Q482994
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@candlecao You should commit 805c464 to a different branch... |
musicbrainz/csv/convert_to_csv.py
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| @@ -195,7 +195,7 @@ def convert_dict_to_csv(dictionary_list: list) -> None: | |||
| with open( | |||
| "temp.csv", mode="a", newline="", encoding="utf-8" | |||
| ) as csv_records: | |||
| writer_records = csv.writer(csv_records) | |||
| writer_records = csv.writer(csv_records, delimiter="\t") | |||
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This is no longer comma-separated now... it's a different format.
…DMAL/linkedmusic-datalake into musicbrainz-reduce-memory-used
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I'm not sure what the status of this is. Is it ready to review again? I'm confused by the number of unrelated commits! |
The bug encountered: I moved the code for reading json to other places, but forgot to delete the original part. It causes python to read the JSON twice.
After this is fixed, I read the file metadata and parse it into chunks of 4096 records. This solves the problem.