sam created SPARK-21137:
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Summary: Spark cannot read many small files (wholeTextFiles)
Key: SPARK-21137
URL: https://issues.apache.org/jira/browse/SPARK-21137
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.2.1
Reporter: sam
A very common use case in big data is to read a large number of small files.
For example the Enron email dataset has 1,227,645 small files.
When one tries to read this data using Spark one will hit many issues.
Firstly, even if the data is small (each file only say 1K) any job can take a
very long time (I have a simple job that has been running for 3 hours and has
not yet got to the point of starting any tasks, I doubt if it will ever finish).
It seems all the code in Spark that manages file listing is single threaded and
not well optimised. When I hand crank the code and don't use Spark, my job
runs much faster.
Is it possible that I'm missing some configuration option? It seems kinda
surprising to me that Spark cannot read Enron data given that it's such a
quintessential example.
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