docsim | gensim similarity example | Topic Modeling library
kandi X-RAY | docsim Summary
kandi X-RAY | docsim Summary
gensim similarity example 10.txt is a input file example, it's a part of train copus.
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- Subtract elements from b .
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QUESTION
I'm getting this exception when using read_rows on a table. The table has rows for features of documents, each document has 300 to 800 features and there are about 2 million documents. The row_key is the feature, the columns are the document ids that have that feature. There are billions of rows.
I'm running this on a 16 CPU VM on GCP and the load averages are between 6 and 10. I'm using the python bigtable SDK and python 3.6.8 and google-cloud-bigtable 2.3.3.
I'm getting this kind of exception when reading the rows using table.read_rows(start_key=foo#xy, end_key=foo#xz). foo#xy and foo#xy are from table.sample_row_keys(). I get 200 prefixes from sample_row_keys and I successfully process the first 5 or so before I get this error. I'm running the table.read_rows() call in a ThreadPool.
If you've encountered an exception like this and investigated it, what was the cause of it and what did you do to prevent it?
...ANSWER
Answered 2021-Nov-01 at 14:21There could be different causes of this error. You might need to be sure that you are not facing a hotspotting scenario here.
Also, you may check if you're reading many different rows in your table and that you are creating as few clients as possible. Performance can be hit too if you are reading a large range of row keys that contains only a small number of rows. You'll find more general advice on troubleshooting performance issues here.
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