Comments (1)
Your analysis here is correct, and this is a problem. I'm working on a fix.
I'm also trying to figure out the Spark execution model in detail, but I believe this many calls to small functions is a problem. If I understand correctly, Spark may need to send data to the JVM separately for each filter call. If that's the case we can drastically reduce overhead by wrapping all the Python functions into a single function before using filter()
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Related Issues (20)
- Add scripts to run hadoop cluster
- Add normalize `?,:"!` in common preprocess job
- Update additional preprocess function HOT 1
- Remove `soynlp` library
- Add pre-processing for Japanese texts
- Replace html2text from Beautifulsoup HOT 1
- Task consideration HOT 3
- Implement minhash dedup module
- [ja] replace Japanese PII
- [ja] reduce emoticon HOT 1
- [ja] spam word filter
- Japanese pre-procesesing - remove text with low rate of Japanese stopwords HOT 4
- Improve Korean preprocessing algorithm
- Need to add ignore null or empty text during korean text process
- Refactor RDD process to Dataframe process
- [ja] refactor MinHashLSH-based near deduplication method
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- Bug in the function `remove_repeated_text`
- dedup_job java.lang.UnsatisfiedLinkError HOT 3
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