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ADD NEW SQL SOLUTION #2

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23 changes: 16 additions & 7 deletions code/chap07/dataframe_multi_dim_agg_rollup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -223,12 +223,11 @@
# Aggregate function: returns the level of grouping, equals to
# (grouping(c1) << (n-1)) + (grouping(c2) << (n-2)) + … + grouping(cn)
#
with_rollup = sales\
.rollup('city', 'year')\
.agg(sum('amount').alias('amount'), grouping_id().alias('gid'))\
.filter(col('gid') != 3)\
.sort('city', 'year')\
.select('city', 'year', 'amount', 'gid')
with_rollup = sales.rollup('city', 'year')\
.agg(sum('amount').alias('amount'), grouping_id().alias('gflg'))\
.filter(col('gflg') != 3)
with_rollup = with_rollup.sort(with_rollup.city.desc_nulls_last(), with_rollup.year.asc_nulls_last())\
.select('city', 'year', 'amount', 'gflg')
#
print("# with_rollup:")
with_rollup.show()
Expand All @@ -246,9 +245,19 @@
GROUPING SETS ((city, year), (city))
ORDER BY city DESC NULLS LAST, year ASC NULLS LAST
""")
# NEW solution
sales_SQL = spark.sql("""SELECT city, year, sum(amount) as amount
,GROUPING_ID(city, year) GFLG
FROM sales_tbl
GROUP BY ROLLUP(city, year)
HAVING 3 != GROUPING_ID(city, year)
ORDER BY city DESC NULLS LAST, year ASC NULLS LAST
""")
#
print("# with_grouping_sets:")
with_grouping_sets.show()
with_grouping_sets.show()
print("# sales_SQL:")
sales_SQL.show()

# done!
spark.stop()