setting values to match spec

Author: timsaucer

examples/tpch/q06_forecasting_revenue_change.py

@@ -83,4 +83,5 @@
 
 revenue = df.collect()[0]["revenue"][0].as_py()
 
+# Note: the output value from this query may be dependant on the size of the database generated
 print(f"Potential lost revenue: {revenue:.2f}")

examples/tpch/q07_volume_shipping.py

@@ -34,8 +34,8 @@
 
 # Variables of interest to query over
 
-nation_1 = lit("GERMANY")
-nation_2 = lit("IRAQ")
+nation_1 = lit("FRANCE")
+nation_2 = lit("GERMANY")
 
 START_DATE = "1995-01-01"
 END_DATE = "1996-12-31"

examples/tpch/q09_product_type_profit_measure.py

@@ -78,7 +78,7 @@
     F.datepart(lit("year"), col("o_orderdate")).cast(pa.int32()).alias("o_year"),
     (
         col("l_extendedprice") * (lit(1.0) - col("l_discount"))
-        - col("ps_supplycost") * col("l_quantity")
+        - (col("ps_supplycost") * col("l_quantity"))
     ).alias("amount"),
 )