tpch examples: align reference SQL constants with DataFrame queries

The reference SQL embedded in each q01..q22 module docstring was carried
over verbatim from ``benchmarks/tpch/queries/`` and uses a different set
of TPC-H substitution parameters than the DataFrame examples
(answer-file-validated at scale factor 1). Update each reference SQL to
use the substitution parameters the DataFrame uses, so both expressions
describe the same query and would produce the same results against the
same data.

Constants aligned:

- Q01: ``90 days`` cutoff (DataFrame ``DAYS_BEFORE_FINAL = 90``).
- Q02: ``p_size = 15``, ``p_type like '%BRASS'``, ``r_name = 'EUROPE'``.
- Q04: base date ``1993-07-01`` (``3 month`` interval preserved per the
  "quarter of a year" wording).
- Q05: ``r_name = 'ASIA'``.
- Q06: ``l_discount between 0.06 - 0.01 and 0.06 + 0.01``.
- Q07: nations ``'FRANCE'`` / ``'GERMANY'``.
- Q08: ``r_name = 'AMERICA'``, ``p_type = 'ECONOMY ANODIZED STEEL'``,
  inner-case ``nation = 'BRAZIL'``.
- Q09: ``p_name like '%green%'``.
- Q10: base date ``1993-10-01`` (``3 month`` interval preserved).
- Q11: ``n_name = 'GERMANY'``.
- Q12: ship modes ``('MAIL', 'SHIP')``, base date ``1994-01-01``.
- Q13: ``o_comment not like '%special%requests%'``.
- Q14: base date ``1995-09-01``.
- Q15: base date ``1996-01-01``.
- Q16: ``p_brand <> 'Brand#45'``, ``p_type not like 'MEDIUM POLISHED%'``,
  sizes ``(49, 14, 23, 45, 19, 3, 36, 9)``.
- Q17: ``p_brand = 'Brand#23'``, ``p_container = 'MED BOX'``.
- Q18: ``sum(l_quantity) > 300``.
- Q19: brands ``Brand#12`` / ``Brand#23`` / ``Brand#34`` with the matching
  minimum quantities (1, 10, 20).
- Q20: ``p_name like 'forest%'``, base date ``1994-01-01``,
  ``n_name = 'CANADA'``.
- Q21: ``n_name = 'SAUDI ARABIA'``.
- Q22: country codes ``('13', '31', '23', '29', '30', '18', '17')``.

Interval units (month / year) are preserved where the problem-statement
text reads "given quarter", "given year", "given month". Q01 keeps the
literal "days" unit because the TPC-H problem statement itself describes
the cutoff in days.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

Author: timsaucer

examples/tpch/q01_pricing_summary_report.py

@@ -44,7 +44,7 @@
     from
         lineitem
     where
-        l_shipdate <= date '1998-12-01' - interval '68 days'
+        l_shipdate <= date '1998-12-01' - interval '90 days'
     group by
         l_returnflag,
         l_linestatus

examples/tpch/q02_minimum_cost_supplier.py

@@ -48,11 +48,11 @@
     where
         p_partkey = ps_partkey
         and s_suppkey = ps_suppkey
-        and p_size = 48
-        and p_type like '%TIN'
+        and p_size = 15
+        and p_type like '%BRASS'
         and s_nationkey = n_nationkey
         and n_regionkey = r_regionkey
-        and r_name = 'ASIA'
+        and r_name = 'EUROPE'
         and ps_supplycost = (
                 select
                         min(ps_supplycost)
@@ -66,7 +66,7 @@
                         and s_suppkey = ps_suppkey
                         and s_nationkey = n_nationkey
                         and n_regionkey = r_regionkey
-                        and r_name = 'ASIA'
+                        and r_name = 'EUROPE'
         )
     order by
         s_acctbal desc,

examples/tpch/q04_order_priority_checking.py

@@ -33,8 +33,8 @@
     from
         orders
     where
-        o_orderdate >= date '1995-04-01'
-        and o_orderdate < date '1995-04-01' + interval '3' month
+        o_orderdate >= date '1993-07-01'
+        and o_orderdate < date '1993-07-01' + interval '3' month
         and exists (
                 select
                         *

examples/tpch/q05_local_supplier_volume.py

@@ -47,7 +47,7 @@
         and c_nationkey = s_nationkey
         and s_nationkey = n_nationkey
         and n_regionkey = r_regionkey
-        and r_name = 'AFRICA'
+        and r_name = 'ASIA'
         and o_orderdate >= date '1994-01-01'
         and o_orderdate < date '1994-01-01' + interval '1' year
     group by

examples/tpch/q06_forecasting_revenue_change.py

@@ -37,7 +37,7 @@
     where
         l_shipdate >= date '1994-01-01'
         and l_shipdate < date '1994-01-01' + interval '1' year
-        and l_discount between 0.04 - 0.01 and 0.04 + 0.01
+        and l_discount between 0.06 - 0.01 and 0.06 + 0.01
         and l_quantity < 24;
 """
 

examples/tpch/q07_volume_shipping.py

@@ -55,8 +55,8 @@
                         and s_nationkey = n1.n_nationkey
                         and c_nationkey = n2.n_nationkey
                         and (
-                                (n1.n_name = 'GERMANY' and n2.n_name = 'IRAQ')
-                                or (n1.n_name = 'IRAQ' and n2.n_name = 'GERMANY')
+                                (n1.n_name = 'FRANCE' and n2.n_name = 'GERMANY')
+                                or (n1.n_name = 'GERMANY' and n2.n_name = 'FRANCE')
                         )
                         and l_shipdate between date '1995-01-01' and date '1996-12-31'
         ) as shipping

examples/tpch/q08_market_share.py

@@ -31,7 +31,7 @@
     select
         o_year,
         sum(case
-                when nation = 'IRAQ' then volume
+                when nation = 'BRAZIL' then volume
                 else 0
         end) / sum(volume) as mkt_share
     from
@@ -56,10 +56,10 @@
                         and o_custkey = c_custkey
                         and c_nationkey = n1.n_nationkey
                         and n1.n_regionkey = r_regionkey
-                        and r_name = 'MIDDLE EAST'
+                        and r_name = 'AMERICA'
                         and s_nationkey = n2.n_nationkey
                         and o_orderdate between date '1995-01-01' and date '1996-12-31'
-                        and p_type = 'LARGE PLATED STEEL'
+                        and p_type = 'ECONOMY ANODIZED STEEL'
         ) as all_nations
     group by
         o_year

examples/tpch/q09_product_type_profit_measure.py

@@ -54,7 +54,7 @@
                         and p_partkey = l_partkey
                         and o_orderkey = l_orderkey
                         and s_nationkey = n_nationkey
-                        and p_name like '%moccasin%'
+                        and p_name like '%green%'
         ) as profit
     group by
         nation,

examples/tpch/q10_returned_item_reporting.py

@@ -47,8 +47,8 @@
     where
         c_custkey = o_custkey
         and l_orderkey = o_orderkey
-        and o_orderdate >= date '1993-07-01'
-        and o_orderdate < date '1993-07-01' + interval '3' month
+        and o_orderdate >= date '1993-10-01'
+        and o_orderdate < date '1993-10-01' + interval '3' month
         and l_returnflag = 'R'
         and c_nationkey = n_nationkey
     group by

examples/tpch/q11_important_stock_identification.py

@@ -38,7 +38,7 @@
     where
         ps_suppkey = s_suppkey
         and s_nationkey = n_nationkey
-        and n_name = 'ALGERIA'
+        and n_name = 'GERMANY'
     group by
         ps_partkey having
                 sum(ps_supplycost * ps_availqty) > (
@@ -51,7 +51,7 @@
                         where
                                 ps_suppkey = s_suppkey
                                 and s_nationkey = n_nationkey
-                                and n_name = 'ALGERIA'
+                                and n_name = 'GERMANY'
                 )
     order by
         value desc;