@Baruch AMOUSSOU DJANGBAN Following article contains most of the details on how to control the logging and rolling of logs based on size: How to control size of log files for various HDP components? https://community.hortonworks.com/articles/8882/how-to-control-size-of-log-files-for-various-hdp-c.html . You should use the following properties of the RollingFileAppender to efficiently control the Size and the number of backup index of old log files: maxFileSize:This is the critical size of the file above which the file will be rolled. Default value is 10 MB. maxBackupIndex: This property denotes the number of backup files to be created. Default value is 1. . ... View more

@Saurabh Following is a simple example: import java.io.*; import java.util.*; import java.net.*; import org.apache.hadoop.fs.*; import org.apache.hadoop.conf.*; import org.apache.hadoop.io.*; import org.apache.hadoop.mapred.*; import org.apache.hadoop.util.*; // For Date Conversion from long to human readable. import java.text.DateFormat; import java.text.SimpleDateFormat; import java.util.Calendar; import java.util.Date; public class FileStatusChecker { public static void main (String [] args) throws Exception { try{ FileSystem fs = FileSystem.get(new Configuration()); String hdfsFilePath = "hdfs://My-NN-HA/Demos/SparkDemos/inputFile.txt"; FileStatus[] status = fs.listStatus(new Path(hdfsFilePath)); // you need to pass in your hdfs path for (int i=0;i<status.length;i++){ long lastAccessTimeLong = status[i].getAccessTime(); Date lastAccessTimeDate = new Date(lastAccessTimeLong); DateFormat df = new SimpleDateFormat("EEE, d MMM yyyy HH:mm:ss Z"); System.out.println("The file '"+ hdfsFilePath + "' was accessed last at: "+ df.format(lastAccessTimeDate)); } }catch(Exception e){ System.out.println("File not found"); e.printStackTrace(); } } } ... View more