suppressing hyper verbose spark logs during unit test execution

dhp-workflows/dhp-enrichment/src/test/resources/log4j.properties

@@ -0,0 +1,25 @@
+# Root logger option
+log4j.rootLogger=DEBUG, stdout
+
+# Direct log messages to stdout
+log4j.appender.stdout=org.apache.log4j.ConsoleAppender
+log4j.appender.stdout.Target=System.out
+log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
+log4j.appender.stdout.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L - %m%n
+
+# Change this to set Spark log level
+log4j.logger.org.apache.spark=ERROR
+log4j.rootCategory=WARN
+
+# Silence akka remoting
+log4j.logger.Remoting=WARN
+
+# Ignore messages below warning level from Jetty, because it's a bit verbose
+log4j.logger.org.eclipse.jetty=WARN
+
+log4j.logger.org.apache.hadoop.mapreduce.lib.output.FileOutputCommitterFactory=WARN
+log4j.logger.org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter=WARN
+log4j.logger.org.apache.parquet.hadoop.ParquetOutputFormat=WARN
+log4j.logger.org.apache.parquet.hadoop.InternalParquetRecordWriter=WARN
+log4j.logger.org.apache.hadoop.io.compress.CodecPool=WARN
+log4j.logger.org.apache.parquet.hadoop.codec.CodecConfig=WARN