Hi,
Is there any way to discard files starting with dot(.) or ending with .tmp
in the hive partition while reading from Hive table using spark.read.table
method.
I tried using PathFilters but they didn't work. I am using spark-submit and
passing my python file(pyspark) containing the source code.
spark.sparkContext._jsc.hadoopConfiguration().set("mapreduce.input.pathFilter.class",
"com.abc.hadoop.utility.TmpFileFilter")
class TmpFileFilter extends PathFilter {
override def accept(path : Path): Boolean = !path.getName.endsWith(".tmp")
}
Still in the detailed logs I can see .tmp files are getting considered in
the detailed logs:
20/04/22 12:58:44 DEBUG MapRFileSystem: getMapRFileStatus
maprfs:///a/hour=05/host=abc/FlumeData.1587559137715
20/04/22 12:58:44 DEBUG MapRFileSystem: getMapRFileStatus
maprfs:///a/hour=05/host=abc/FlumeData.1587556815621
20/04/22 12:58:44 DEBUG MapRFileSystem: getMapRFileStatus
maprfs:///a/hour=05/host=abc/.FlumeData.1587560277337.tmp
Is there any way to discard the tmp(.tmp) or the hidden files(filename
starting with dot or underscore) in hive partitions while reading from
spark?
*Regards,Dhrubajyoti Hati.Mob No: 9886428028/9652029028*
