Using rowsBetween and rangeBetweenΒΆ
We can get cumulative aggregations using rowsBetween or rangeBetween.
We can use
rowsBetweento include particular set of rows to perform aggregations.We can use
rangeBetweento include particular range of values on a given column.
Let us start spark context for this Notebook so that we can execute the code provided. You can sign up for our 10 node state of the art cluster/labs to learn Spark SQL using our unique integrated LMS.
from pyspark.sql import SparkSession
import getpass
username = getpass.getuser()
spark = SparkSession. \
builder. \
config('spark.ui.port', '0'). \
config("spark.sql.warehouse.dir", f"/user/{username}/warehouse"). \
enableHiveSupport(). \
appName(f'{username} | Python - Windowing Functions'). \
master('yarn'). \
getOrCreate()
If you are going to use CLIs, you can use Spark SQL using one of the 3 approaches.
Using Spark SQL
spark2-sql \
--master yarn \
--conf spark.ui.port=0 \
--conf spark.sql.warehouse.dir=/user/${USER}/warehouse
Using Scala
spark2-shell \
--master yarn \
--conf spark.ui.port=0 \
--conf spark.sql.warehouse.dir=/user/${USER}/warehouse
Using Pyspark
pyspark2 \
--master yarn \
--conf spark.ui.port=0 \
--conf spark.sql.warehouse.dir=/user/${USER}/warehouse
spark.conf.set('spark.sql.shuffle.partitions', '2')
airtraffic_path = "/public/airtraffic_all/airtraffic-part/flightmonth=200801"
airtraffic = spark. \
read. \
parquet(airtraffic_path)
from pyspark.sql.window import Window
Let us get cumulative delay at each airport using scheduled departure time as sorting criteria.
spec = Window. \
partitionBy("FlightDate", "Origin"). \
orderBy("CRSDepTime"). \
rowsBetween(Window.unboundedPreceding, Window.currentRow)
from pyspark.sql.functions import lpad, concat, col, sum
airtraffic. \
filter("IsDepDelayed = 'YES' and Cancelled = 0"). \
select(concat("Year",
lpad("Month", 2, "0"),
lpad("DayOfMonth", 2, "0")
).alias("FlightDate"),
"Origin",
"UniqueCarrier",
"FlightNum",
"CRSDepTime",
"IsDepDelayed",
col("DepDelay").cast("int").alias("DepDelay")
). \
withColumn("DepDelaySum", sum("DepDelay").over(spec)). \
orderBy("FlightDate", "Origin", "CRSDepTime"). \
show()
+----------+------+-------------+---------+----------+------------+--------+-----------+
|FlightDate|Origin|UniqueCarrier|FlightNum|CRSDepTime|IsDepDelayed|DepDelay|DepDelaySum|
+----------+------+-------------+---------+----------+------------+--------+-----------+
| 20080101| ABE| OO| 5873| 720| YES| 1| 1|
| 20080101| ABE| 9E| 2940| 1215| YES| 70| 71|
| 20080101| ABE| YV| 7263| 1230| YES| 137| 208|
| 20080101| ABE| XE| 2578| 1410| YES| 22| 230|
| 20080101| ABE| 9E| 2936| 1615| YES| 34| 264|
| 20080101| ABE| OH| 5457| 1720| YES| 14| 278|
| 20080101| ABE| XE| 2594| 1740| YES| 34| 312|
| 20080101| ABE| YV| 7138| 1741| YES| 175| 487|
| 20080101| ABI| MQ| 3214| 1735| YES| 3| 3|
| 20080101| ABQ| DL| 1601| 740| YES| 65| 65|
| 20080101| ABQ| WN| 88| 755| YES| 2| 67|
| 20080101| ABQ| UA| 782| 805| YES| 48| 115|
| 20080101| ABQ| AA| 1814| 925| YES| 100| 215|
| 20080101| ABQ| WN| 2976| 1040| YES| 1| 216|
| 20080101| ABQ| WN| 1185| 1140| YES| 9| 225|
| 20080101| ABQ| WN| 1297| 1155| YES| 12| 237|
| 20080101| ABQ| WN| 2480| 1200| YES| 16| 253|
| 20080101| ABQ| WN| 137| 1220| YES| 10| 263|
| 20080101| ABQ| WN| 1328| 1245| YES| 78| 341|
| 20080101| ABQ| WN| 3245| 1250| YES| 24| 365|
+----------+------+-------------+---------+----------+------------+--------+-----------+
only showing top 20 rows
We can also get cumulative aggregations based up on moving window. In this case we are getting cumulative aggregation using previous 3 records and current record.
spec = Window. \
partitionBy("FlightDate", "Origin"). \
orderBy("CRSDepTime"). \
rowsBetween(-3, Window.currentRow)
airtraffic. \
filter("IsDepDelayed = 'YES' and Cancelled = 0"). \
select(concat("Year",
lpad("Month", 2, "0"),
lpad("DayOfMonth", 2, "0")
).alias("FlightDate"),
"Origin",
"UniqueCarrier",
"FlightNum",
"CRSDepTime",
"IsDepDelayed",
col("DepDelay").cast("int").alias("DepDelay")
). \
withColumn("DepDelaySum", sum("DepDelay").over(spec)). \
orderBy("FlightDate", "Origin", "CRSDepTime"). \
show()
+----------+------+-------------+---------+----------+------------+--------+-----------+
|FlightDate|Origin|UniqueCarrier|FlightNum|CRSDepTime|IsDepDelayed|DepDelay|DepDelaySum|
+----------+------+-------------+---------+----------+------------+--------+-----------+
| 20080101| ABE| OO| 5873| 720| YES| 1| 1|
| 20080101| ABE| 9E| 2940| 1215| YES| 70| 71|
| 20080101| ABE| YV| 7263| 1230| YES| 137| 208|
| 20080101| ABE| XE| 2578| 1410| YES| 22| 230|
| 20080101| ABE| 9E| 2936| 1615| YES| 34| 263|
| 20080101| ABE| OH| 5457| 1720| YES| 14| 207|
| 20080101| ABE| XE| 2594| 1740| YES| 34| 104|
| 20080101| ABE| YV| 7138| 1741| YES| 175| 257|
| 20080101| ABI| MQ| 3214| 1735| YES| 3| 3|
| 20080101| ABQ| DL| 1601| 740| YES| 65| 65|
| 20080101| ABQ| WN| 88| 755| YES| 2| 67|
| 20080101| ABQ| UA| 782| 805| YES| 48| 115|
| 20080101| ABQ| AA| 1814| 925| YES| 100| 215|
| 20080101| ABQ| WN| 2976| 1040| YES| 1| 151|
| 20080101| ABQ| WN| 1185| 1140| YES| 9| 158|
| 20080101| ABQ| WN| 1297| 1155| YES| 12| 122|
| 20080101| ABQ| WN| 2480| 1200| YES| 16| 38|
| 20080101| ABQ| WN| 137| 1220| YES| 10| 47|
| 20080101| ABQ| WN| 1328| 1245| YES| 78| 116|
| 20080101| ABQ| WN| 3245| 1250| YES| 24| 128|
+----------+------+-------------+---------+----------+------------+--------+-----------+
only showing top 20 rows
We can also use
rangeBetweento get cumulative delay at each airport using scheduled departure time as sorting criteria. WithWindow.unboundedPrecedingandWindow.currentRow, the behavior is same asrowsBetween.
spec = Window. \
partitionBy("FlightDate", "Origin"). \
orderBy("CRSDepTime"). \
rangeBetween(Window.unboundedPreceding, Window.currentRow)
from pyspark.sql.functions import lpad, concat, col, sum
airtraffic. \
filter("IsDepDelayed = 'YES' and Cancelled = 0"). \
select(concat("Year",
lpad("Month", 2, "0"),
lpad("DayOfMonth", 2, "0")
).alias("FlightDate"),
"Origin",
"UniqueCarrier",
"FlightNum",
"CRSDepTime",
"IsDepDelayed",
col("DepDelay").cast("int").alias("DepDelay")
). \
withColumn("DepDelaySum", sum("DepDelay").over(spec)). \
orderBy("FlightDate", "Origin", "CRSDepTime"). \
show()
+----------+------+-------------+---------+----------+------------+--------+-----------+
|FlightDate|Origin|UniqueCarrier|FlightNum|CRSDepTime|IsDepDelayed|DepDelay|DepDelaySum|
+----------+------+-------------+---------+----------+------------+--------+-----------+
| 20080101| ABE| OO| 5873| 720| YES| 1| 1|
| 20080101| ABE| 9E| 2940| 1215| YES| 70| 71|
| 20080101| ABE| YV| 7263| 1230| YES| 137| 208|
| 20080101| ABE| XE| 2578| 1410| YES| 22| 230|
| 20080101| ABE| 9E| 2936| 1615| YES| 34| 264|
| 20080101| ABE| OH| 5457| 1720| YES| 14| 278|
| 20080101| ABE| XE| 2594| 1740| YES| 34| 312|
| 20080101| ABE| YV| 7138| 1741| YES| 175| 487|
| 20080101| ABI| MQ| 3214| 1735| YES| 3| 3|
| 20080101| ABQ| DL| 1601| 740| YES| 65| 65|
| 20080101| ABQ| WN| 88| 755| YES| 2| 67|
| 20080101| ABQ| UA| 782| 805| YES| 48| 115|
| 20080101| ABQ| AA| 1814| 925| YES| 100| 215|
| 20080101| ABQ| WN| 2976| 1040| YES| 1| 216|
| 20080101| ABQ| WN| 1185| 1140| YES| 9| 225|
| 20080101| ABQ| WN| 1297| 1155| YES| 12| 237|
| 20080101| ABQ| WN| 2480| 1200| YES| 16| 253|
| 20080101| ABQ| WN| 137| 1220| YES| 10| 263|
| 20080101| ABQ| WN| 1328| 1245| YES| 78| 341|
| 20080101| ABQ| WN| 3245| 1250| YES| 24| 365|
+----------+------+-------------+---------+----------+------------+--------+-----------+
only showing top 20 rows
rangeBetweenconsiders the values rather than rows. With the logic below, it only consider those values which are between current row value and current row - 100 values based up on theCRSDepTime.
spec = Window. \
partitionBy("FlightDate", "Origin"). \
orderBy("CRSDepTime"). \
rangeBetween(-100, Window.currentRow)
airtraffic. \
filter("IsDepDelayed = 'YES' and Cancelled = 0"). \
select(concat("Year",
lpad("Month", 2, "0"),
lpad("DayOfMonth", 2, "0")
).alias("FlightDate"),
"Origin",
"UniqueCarrier",
"FlightNum",
"CRSDepTime",
"IsDepDelayed",
col("DepDelay").cast("int").alias("DepDelay")
). \
withColumn("DepDelaySum", sum("DepDelay").over(spec)). \
orderBy("FlightDate", "Origin", "CRSDepTime"). \
show(50)
+----------+------+-------------+---------+----------+------------+--------+-----------+
|FlightDate|Origin|UniqueCarrier|FlightNum|CRSDepTime|IsDepDelayed|DepDelay|DepDelaySum|
+----------+------+-------------+---------+----------+------------+--------+-----------+
| 20080101| ABE| OO| 5873| 720| YES| 1| 1|
| 20080101| ABE| 9E| 2940| 1215| YES| 70| 70|
| 20080101| ABE| YV| 7263| 1230| YES| 137| 207|
| 20080101| ABE| XE| 2578| 1410| YES| 22| 22|
| 20080101| ABE| 9E| 2936| 1615| YES| 34| 34|
| 20080101| ABE| OH| 5457| 1720| YES| 14| 14|
| 20080101| ABE| XE| 2594| 1740| YES| 34| 48|
| 20080101| ABE| YV| 7138| 1741| YES| 175| 223|
| 20080101| ABI| MQ| 3214| 1735| YES| 3| 3|
| 20080101| ABQ| DL| 1601| 740| YES| 65| 65|
| 20080101| ABQ| WN| 88| 755| YES| 2| 67|
| 20080101| ABQ| UA| 782| 805| YES| 48| 115|
| 20080101| ABQ| AA| 1814| 925| YES| 100| 100|
| 20080101| ABQ| WN| 2976| 1040| YES| 1| 1|
| 20080101| ABQ| WN| 1185| 1140| YES| 9| 10|
| 20080101| ABQ| WN| 1297| 1155| YES| 12| 21|
| 20080101| ABQ| WN| 2480| 1200| YES| 16| 37|
| 20080101| ABQ| WN| 137| 1220| YES| 10| 47|
| 20080101| ABQ| WN| 1328| 1245| YES| 78| 116|
| 20080101| ABQ| WN| 3245| 1250| YES| 24| 140|
| 20080101| ABQ| WN| 61| 1320| YES| 1| 113|
| 20080101| ABQ| DL| 940| 1345| YES| 9| 112|
| 20080101| ABQ| WN| 734| 1400| YES| 42| 52|
| 20080101| ABQ| XE| 2771| 1430| YES| 3| 54|
| 20080101| ABQ| WN| 45| 1435| YES| 64| 118|
| 20080101| ABQ| WN| 3425| 1440| YES| 2| 120|
| 20080101| ABQ| WN| 3481| 1500| YES| 78| 210|
| 20080101| ABQ| WN| 1135| 1500| YES| 21| 210|
| 20080101| ABQ| WN| 901| 1520| YES| 18| 189|
| 20080101| ABQ| WN| 2284| 1520| YES| 3| 189|
| 20080101| ABQ| WN| 357| 1525| YES| 171| 360|
| 20080101| ABQ| XE| 2922| 1530| YES| 16| 383|
| 20080101| ABQ| WN| 729| 1530| YES| 7| 383|
| 20080101| ABQ| WN| 1123| 1600| YES| 15| 346|
| 20080101| ABQ| AA| 1486| 1600| YES| 17| 346|
| 20080101| ABQ| OO| 6416| 1610| YES| 8| 255|
| 20080101| ABQ| WN| 397| 1630| YES| 9| 72|
| 20080101| ABQ| WN| 294| 1645| YES| 11| 60|
| 20080101| ABQ| XE| 2018| 1705| YES| 10| 38|
| 20080101| ABQ| WN| 2882| 1710| YES| 16| 54|
| 20080101| ABQ| WN| 644| 1725| YES| 5| 51|
| 20080101| ABQ| WN| 2788| 1755| YES| 53| 84|
| 20080101| ABQ| WN| 360| 1800| YES| 5| 89|
| 20080101| ABQ| WN| 972| 1810| YES| 1| 80|
| 20080101| ABQ| WN| 2641| 1815| YES| 19| 83|
| 20080101| ABQ| WN| 2497| 1825| YES| 93| 176|
| 20080101| ABQ| WN| 1114| 1845| YES| 14| 279|
| 20080101| ABQ| WN| 1178| 1845| YES| 94| 279|
| 20080101| ABQ| XE| 221| 1850| YES| 68| 347|
| 20080101| ABQ| WN| 2010| 1910| YES| 15| 304|
+----------+------+-------------+---------+----------+------------+--------+-----------+
only showing top 50 rows