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https://issues.apache.org/jira/browse/BEAM-2855?focusedWorklogId=481860&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-481860
]
ASF GitHub Bot logged work on BEAM-2855:
----------------------------------------
Author: ASF GitHub Bot
Created on: 11/Sep/20 02:51
Start Date: 11/Sep/20 02:51
Worklog Time Spent: 10m
Work Description: leiyiz commented on a change in pull request #12807:
URL: https://github.com/apache/beam/pull/12807#discussion_r486742790
##########
File path: sdks/python/apache_beam/testing/benchmarks/nexmark/queries/query10.py
##########
@@ -0,0 +1,136 @@
+#
+# 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 10, 'Log to sharded files' (Not in original suite.)
+
+Every window_size_sec, save all events from the last period into
+2*max_workers log files.
+"""
+
+from __future__ import absolute_import
+
+import apache_beam as beam
+from apache_beam.options.pipeline_options import GoogleCloudOptions
+from apache_beam.transforms import trigger
+from apache_beam.transforms import window
+from apache_beam.utils.timestamp import Duration
+
+NUM_SHARD_PER_WORKER = 5
+LATE_BATCHING_PERIOD = Duration.of(10)
+
+output_path = None
+max_num_workers = 5
+
+num_log_shards = NUM_SHARD_PER_WORKER * max_num_workers
+
+
+class OutputFile(object):
+ def __init__(self, max_timestamp, shard, index, timing, filename):
+ self.max_timestamp = max_timestamp
+ self.shard = shard
+ self.index = index
+ self.timing = timing
+ self.filename = filename
+
+
+def open_writable_gcs_file(options, filename):
+ # TODO: it seems that beam team has not yet decided about this method and
Review comment:
Done
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Issue Time Tracking
-------------------
Worklog Id: (was: 481860)
Time Spent: 25h (was: 24h 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: 25h
> 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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