Details
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Bug
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Status: Open
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P3
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Resolution: Unresolved
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None
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None
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None
Description
While doing a performance evaluation of Apache Beam with Spark Runner - I found that even for a simple word count problem on a text file – Beam with Spark runner was slower by a factor of 5 times as compared to Spark for a dataset as small as 14 GB.
You will find more details on this evaluation here - https://github.com/soumabrata-chakraborty/spark-vs-beam/blob/master/README.md
I also came across this analysis called **Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems (https://arxiv.org/pdf/1907.08302.pdf / https://ieeexplore.ieee.org/document/8884832)
According to it, the observation was that for most scenarios the slowdown was at least a factor of 3 with the worse case being a factor of 58!
While it is understood that an abstraction layer would come with some performance cost - the current performance cost seems to be very high.