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https://issues.apache.org/jira/browse/BEAM-2855?focusedWorklogId=470597&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-470597
]
ASF GitHub Bot logged work on BEAM-2855:
----------------------------------------
Author: ASF GitHub Bot
Created on: 14/Aug/20 06:33
Start Date: 14/Aug/20 06:33
Worklog Time Spent: 10m
Work Description: leiyiz commented on a change in pull request #12580:
URL: https://github.com/apache/beam/pull/12580#discussion_r470436014
##########
File path: sdks/python/apache_beam/testing/benchmarks/nexmark/queries/query6.py
##########
@@ -0,0 +1,93 @@
+#
+# 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.
+#
+
+"""
+Query 6, 'Average Selling Price by Seller'. Select the average selling price
+over the last 10 closed auctions by the same seller. In CQL syntax::
+
+ SELECT Istream(AVG(Q.final), Q.seller)
+ FROM (SELECT Rstream(MAX(B.price) AS final, A.seller)
+ FROM Auction A [ROWS UNBOUNDED], Bid B [ROWS UNBOUNDED]
+ WHERE A.id=B.auction
+ AND B.datetime < A.expires AND A.expires < CURRENT_TIME
+ GROUP BY A.id, A.seller) [PARTITION BY A.seller ROWS 10] Q
+ GROUP BY Q.seller;
+"""
+
+from __future__ import absolute_import
+from __future__ import division
+
+import apache_beam as beam
+from apache_beam.testing.benchmarks.nexmark.models import seller_price
+from apache_beam.testing.benchmarks.nexmark.queries import nexmark_query_util
+from apache_beam.testing.benchmarks.nexmark.queries import winning_bids
+from apache_beam.transforms import trigger
+from apache_beam.transforms import window
+
+
+def load(events, metadata=None):
+ # find winning bids for each closed auction
+ return (
+ events
+ # find winning bids
+ | beam.Filter(nexmark_query_util.auction_or_bid)
+ | winning_bids.WinningBids()
+ # (auction_bids -> (aution.seller, bid)
+ | beam.Map(lambda auc_bid: (auc_bid.auction.seller, auc_bid.bid))
+ # calculate and output mean as data arrives
+ | beam.WindowInto(
+ window.GlobalWindows(),
+ trigger=trigger.Repeatedly(trigger.AfterCount(1)),
+ accumulation_mode=trigger.AccumulationMode.ACCUMULATING,
+ allowed_lateness=0)
+ # | beam.combiners.Count.Globally())
+ | beam.CombinePerKey(MovingMeanSellingPriceFn(10))
+ | beam.Map(lambda t: seller_price.SellerPrice(t[0], t[1])))
+
+
+class MovingMeanSellingPriceFn(beam.CombineFn):
+ """
+ Combiner to keep track of up to max_num_bids of the most recent wining
+ bids and calculate their average selling price.
+ """
+ def __init__(self, max_num_bids):
+ self.max_num_bids = max_num_bids
+
+ def create_accumulator(self):
+ return []
+
+ def add_input(self, accumulator, element):
+ accumulator.append(element)
+ new_accu = sorted(accumulator, key=lambda bid: (bid.date_time, bid.price))
+ if len(new_accu) > self.max_num_bids:
+ del new_accu[0]
+ return new_accu
+
+ def merge_accumulators(self, accumulators):
+ new_accu = []
+ for accumulator in accumulators:
+ new_accu += accumulator
+ new_accu.sort(key=lambda bid: (bid.date_time, bid.price))
+ return new_accu[-10:]
+
+ def extract_output(self, accumulator):
+ if len(accumulator) == 0:
+ return 0
+ sum_price = 0
+ for bid in accumulator:
Review comment:
do you mean like
```python3
sum(b.price for b in accumulator)
```
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Issue Time Tracking
-------------------
Worklog Id: (was: 470597)
Time Spent: 17h (was: 16h 50m)
> Implement a Python version of the Nexmark queries
> -------------------------------------------------
>
> Key: BEAM-2855
> URL: https://issues.apache.org/jira/browse/BEAM-2855
> Project: Beam
> Issue Type: Sub-task
> Components: sdk-py-core, testing, testing-nexmark
> Reporter: Ismaël Mejía
> Priority: P3
> Labels: newbie, nexmark, starter
> Time Spent: 17h
> Remaining Estimate: 0h
>
> Currently we have a Java only implementation of Nexmark, a python based
> implementation would be nice to have to validate the direct and dataflow
> runners, but also to validate the new support of multiple SDKs in multiple
> runners via the runner/fn API.
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