Quadro de dados do pivô Spark usando Python
from pyspark.sql.functions import avg
flights = (sqlContext
.read
.format("csv")
.options(inferSchema="true", header="true")
.load("flights.csv")
.na.drop())
flights.registerTempTable("flights")
sqlContext.cacheTable("flights")
gexprs = ("origin", "dest", "carrier")
aggexpr = avg("arr_delay")
flights.count()
## 336776
%timeit -n10 flights.groupBy(*gexprs ).pivot("hour").agg(aggexpr).count()
## 10 loops, best of 3: 1.03 s per loop
Anuj Sharma