We use panels in bootstrap from the boxing of DOM components.
Hadoop Interview Questions
Map: In Hadoop, a map is a phase in HDFS query solving. A map reads data from an input location and outputs a key-value pair according to the input type. Reducer: In Hadoop, a reducer collects the output generated by the mapper, processes it, and creates a final output of its own.
Hadoop facilitates you to increase or decrease the number of mappers without worrying about the volume of data to be processed.
Button groups are used for the placement of more than one buttons in the same line.
Shuffling is a process which is used to perform the sorting and transfer the map outputs to the reducer as input.
The TaskTracker periodically sends heartbeat messages to the JobTracker to assure that it is alive. This messages also inform the JobTracker about the number of available slots. This return message updates JobTracker to know about where to schedule task.
Ordered list Unordered list Definition list
NameNode is a node, where Hadoop stores all the file location information in HDFS (Hadoop Distributed File System). We can say that NameNode is the centerpiece of an HDFS file system which is responsible for keeping the record of all the files in the file system, and tracks the file data across the cluster or …
Distributed cache is a facility provided by MapReduce Framework. It is provided to cache files (text, archives etc.) at the time of execution of the job. The Framework copies the necessary files to the slave node before the execution of any task at that node.
The ‘jps’ command is used for the retrieval of the status of daemons running the Hadoop cluster.