Help Center/ MapReduce Service/ Developer Guide (Normal_3.x)/ Spark2x Development Guide (Normal Mode)/ Developing Spark Applications/ Spark Core Sample Projects/ Spark Core Sample Projects (Python)
Updated on 2025-10-23 GMT+08:00
Spark Core Sample Projects (Python)
Function Description
Collect statistics on female netizens who dwell on online shopping for more than two hours during weekends.
Sample Code
The following code segment is only an example. For details, see collectFemaleInfo.py.
def contains(str, substr):
if substr in str:
return True
return False
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Usage: CollectFemaleInfo <file>"
exit(-1)
spark = SparkSession \
.builder \
.appName("CollectFemaleInfo") \
.getOrCreate()
"""
The following functions are performed:
1. Read data. The input parameter argv[1] specifies the data path. - text
2. Filter the data information of the time that female netizens spend online.
3. Summarize the total time that each female netizen spends online. -map/map/reduceByKey.
4. Filter information about female netizens who spend more than 2 hours online. - filter
"""
inputPath = sys.argv[1]
result = spark.read.text(inputPath).rdd.map(lambda r: r[0])\
.filter(lambda line: contains(line, "female")) \
.map(lambda line: line.split(',')) \
.map(lambda dataArr: (dataArr[0], int(dataArr[2]))) \
.reduceByKey(lambda v1, v2: v1 + v2) \
.filter(lambda tupleVal: tupleVal[1] > 120) \
.collect()
for (k, v) in result:
print k + "," + str(v)
# Stop SparkContext.
spark.stop() Parent topic: Spark Core Sample Projects
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