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PySpark Window, ranking (rank, dense_rank, row_number etc.) and aggregation(sum,min,max) function
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In this video, I have illustrated the spark window analytical function like rank, dense rank, row number, and aggregation functions like sum, min, max, etc.
with example. employee dataset is present in the following GitHub.
employee schema which I used to read the data set is as below.
employee_schema=StructType(((StructField('EMPLOYEE_ID',IntegerType(),True)), \
(StructField('FIRST_NAME',StringType(),True)), \
(StructField('LAST_NAME',StringType(),True)), \
(StructField('EMAIL',StringType(),True)), \
(StructField('PHONE_NUMBER',StringType(),True)), \
(StructField('HIRE_DATE',StringType(),True)), \
(StructField('JOB_ID',StringType(),True)), \
(StructField('SALARY',FloatType(),True)), \
(StructField('COMMISSION_PCT',IntegerType(),True)), \
(StructField('MANAGER_ID',IntegerType(),True)), \
(StructField('DEPARTMENT_ID',IntegerType(),True))))
with example. employee dataset is present in the following GitHub.
employee schema which I used to read the data set is as below.
employee_schema=StructType(((StructField('EMPLOYEE_ID',IntegerType(),True)), \
(StructField('FIRST_NAME',StringType(),True)), \
(StructField('LAST_NAME',StringType(),True)), \
(StructField('EMAIL',StringType(),True)), \
(StructField('PHONE_NUMBER',StringType(),True)), \
(StructField('HIRE_DATE',StringType(),True)), \
(StructField('JOB_ID',StringType(),True)), \
(StructField('SALARY',FloatType(),True)), \
(StructField('COMMISSION_PCT',IntegerType(),True)), \
(StructField('MANAGER_ID',IntegerType(),True)), \
(StructField('DEPARTMENT_ID',IntegerType(),True))))
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