We were trying to use structured streaming from file source, but had
problems getting the files read by Spark properly. We have another
process generating the data files in the Spark data source directory on
a continuous basis. What we have observed was that the moment a data
file is created before the data producing process finished, it was read
by Spark immediately without reaching the EOF. Then Spark will never
revisit the file. So we only ended up with empty data content. The
only way to make it to work is to produce the data files in a separate
directory (e.g. /tmp) and move them to the Spark's file source dir after
the data generation completes.
My questions: Is this a behavior by design or is there any way to
control the Spark streaming process not to import a file while it is
still being used by another process? In other words, do we have to use
the tmp dir to move data files around or can the data producing process
and Spark share the same directory?
Thanks!
-- Nick
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