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NEW QUESTION: 1
Ms. Mary Brown is a credit rating analyst. She had prepared a detailed report on one of her client, FlyHigh Airlines Ltd, a company operating chartered aircrafts in India. As she was heading for a meeting with her superior on the matter, coffee spilled over her set of prepared paper(s). As she was getting late for meeting, instead of preparing entire set she could recollect few numbers from her memory and reconstructed following partial financial table:
Compute growth in PAT for FY12?
A. 22%
B. 25%
C. 19%
D. 21%
Answer: C
NEW QUESTION: 2
Which of the Following best describes the lifecycle of a Mapper?
A. The TaskTracker spawns a new Mapper to process all records in a single input split.
B. The JobTracker calls the FastTracker's configure () method, then its map () method and finally its closer ()
C. The TaskTracker spawns a new Mapper to process each key-value pair.
D. The JobTracker spawns a new Mapper to process all records in a single file.
Answer: C
Explanation:
For each map instance that runs, the TaskTracker creates a new instance of your
mapper.
Note:
*The Mapper is responsible for processing Key/Value pairs obtained from the InputFormat. The
mapper may perform a number of Extraction and Transformation functions on the Key/Value pair
before ultimately outputting none, one or many Key/Value pairs of the same, or different Key/Value
type.
*With the new Hadoop API, mappers extend the org.apache.hadoop.mapreduce.Mapper class.
This class defines an 'Identity' map function by default - every input Key/Value pair obtained from
the InputFormat is written out.
Examining the run() method, we can see the lifecycle of the mapper:
/**
*Expert users can override this method for more complete control over the
*execution of the Mapper.
*@param context
*@throws IOException
*/
public void run(Context context) throws IOException, InterruptedException {
setup(context);
while (context.nextKeyValue()) {
map(context.getCurrentKey(), context.getCurrentValue(), context);
}
cleanup(context);
}
setup(Context) - Perform any setup for the mapper. The default implementation is a no-op method. map(Key, Value, Context) - Perform a map operation in the given Key / Value pair. The default
implementation calls Context.write(Key, Value)
cleanup(Context) - Perform any cleanup for the mapper. The default implementation is a no-op
method.
Reference:Hadoop/MapReduce/Mapper
NEW QUESTION: 3
Welchen Wert hat SV am Ende des Projekts?
A. Negativ
B. Null
C. Positiv
D. Größer als eins
Answer: B