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https://issues.apache.org/jira/browse/BEAM-2855?focusedWorklogId=473395&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-473395
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ASF GitHub Bot logged work on BEAM-2855:
----------------------------------------
Author: ASF GitHub Bot
Created on: 21/Aug/20 18:23
Start Date: 21/Aug/20 18:23
Worklog Time Spent: 10m
Work Description: leiyiz commented on a change in pull request #12580:
URL: https://github.com/apache/beam/pull/12580#discussion_r474856942
##########
File path: sdks/python/apache_beam/testing/benchmarks/nexmark/queries/query6.py
##########
@@ -0,0 +1,92 @@
+#
+# 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.queries import nexmark_query_util
+from apache_beam.testing.benchmarks.nexmark.queries import winning_bids
+from apache_beam.testing.benchmarks.nexmark.queries.nexmark_query_util import
ResultNames
+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)
Review comment:
yes, so every time an event arrives, it should fire and calculate
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Issue Time Tracking
-------------------
Worklog Id: (was: 473395)
Time Spent: 20h 10m (was: 20h)
> 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: 20h 10m
> 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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