CCA175/problem78 at master · smartlin5228/CCA175 · GitHub

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1. Copy "retail_db.order_items" table to hdfs in respective directory p90_order_items .

[cloudera@quickstart ~]$ sqoop import --connect jdbc:mysql://quickstart:3306/retail_db --username=retail_dba --password=cloudera --table=order_items --target-dir=p90_orderItems -m 1

17/10/27 22:00:49 INFO mapreduce.ImportJobBase: Transferred 5.1583 MB in 19.5046 seconds (270.8132 KB/sec)
17/10/27 22:00:49 INFO mapreduce.ImportJobBase: Retrieved 172198 records.


2. Do the summation of entire revenue in this table using pyspark.

>>> tableRDD = sc.textFile("p90_orderItems")
>>> revenue = tableRDD.map(lambda line: float(line.split(",")[4]))
>>> for rev in revenue.collect():
>>>   print rev
1999.99
129.99
179.97
299.98
129.99
129.99
129.99
999.99
149.94
250.0
199.99
249.9
149.94
129.99
59.99
50.0
1999.99
150.0

>>> total = revenue.reduce(lambda a,b: a + b)
>>> total
34322619.930029497
>>> max = revenue.reduce(lambda a,b: a if a >= b else b)
>>> max
1999.99
>>> min = revenue.reduce(lambda a,b: a if a <= b else b)
>>> min
9.9900000000000002


3. Find the maximum and minimum revenue as well.

>>> max = revenue.reduce(lambda a,b: a if a >= b else b)
>>> max
1999.99
>>> min = revenue.reduce(lambda a,b: a if a <= b else b)
>>> min
9.9900000000000002


4. Calculate average revenue

>>> avg = total / (revenue.count())
>>> avg
199.32066533890927