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108 lines (87 loc) · 3.98 KB
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""
TPC-H Problem Statement Query 1:
The Pricing Summary Report Query provides a summary pricing report for all lineitems shipped as of
a given date. The date is within 60 - 120 days of the greatest ship date contained in the database.
The query lists totals for extended price, discounted extended price, discounted extended price
plus tax, average quantity, average extended price, and average discount. These aggregates are
grouped by RETURNFLAG and LINESTATUS, and listed in ascending order of RETURNFLAG and LINESTATUS.
A count of the number of lineitems in each group is included.
The above problem statement text is copyrighted by the Transaction Processing Performance Council
as part of their TPC Benchmark H Specification revision 2.18.0.
Reference SQL (from TPC-H specification, used by the benchmark suite)::
select
l_returnflag,
l_linestatus,
sum(l_quantity) as sum_qty,
sum(l_extendedprice) as sum_base_price,
sum(l_extendedprice * (1 - l_discount)) as sum_disc_price,
sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge,
avg(l_quantity) as avg_qty,
avg(l_extendedprice) as avg_price,
avg(l_discount) as avg_disc,
count(*) as count_order
from
lineitem
where
l_shipdate <= date '1998-12-01' - interval '90 days'
group by
l_returnflag,
l_linestatus
order by
l_returnflag,
l_linestatus;
"""
import pyarrow as pa
from datafusion import SessionContext, col, lit
from datafusion import functions as F
from util import get_data_path
ctx = SessionContext()
df = ctx.read_parquet(get_data_path("lineitem.parquet"))
# It may be that the date can be hard coded, based on examples shown.
# This approach will work with any date range in the provided data set.
greatest_ship_date = df.aggregate(
[], [F.max(col("l_shipdate")).alias("shipdate")]
).collect()[0]["shipdate"][0]
# From the given problem, this is how close to the last date in the database we
# want to report results for. It should be between 60-120 days before the end.
DAYS_BEFORE_FINAL = 90
interval = pa.scalar((0, DAYS_BEFORE_FINAL, 0), type=pa.month_day_nano_interval())
print("Final date in database:", greatest_ship_date)
# Filter data to the dates of interest
df = df.filter(col("l_shipdate") <= lit(greatest_ship_date) - lit(interval))
# Aggregate the results
disc_price = col("l_extendedprice") * (lit(1) - col("l_discount"))
df = df.aggregate(
["l_returnflag", "l_linestatus"],
[
F.sum(col("l_quantity")).alias("sum_qty"),
F.sum(col("l_extendedprice")).alias("sum_base_price"),
F.sum(disc_price).alias("sum_disc_price"),
F.sum(disc_price * (lit(1) + col("l_tax"))).alias("sum_charge"),
F.avg(col("l_quantity")).alias("avg_qty"),
F.avg(col("l_extendedprice")).alias("avg_price"),
F.avg(col("l_discount")).alias("avg_disc"),
F.count_star().alias("count_order"),
],
)
# Sort per the expected result
df = df.sort_by("l_returnflag", "l_linestatus")
# Note: There appears to be a discrepancy between what is returned here and what is in the generated
# answers file for the case of return flag N and line status O, but I did not investigate further.
df.show()