Yicong-Huang commented on code in PR #4664: URL: https://github.com/apache/texera/pull/4664#discussion_r3176373130
########## amber/src/main/python/core/architecture/sendsemantics/test_partitioners.py: ########## @@ -0,0 +1,434 @@ +# 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. + +import pytest + +from core.architecture.sendsemantics.broad_cast_partitioner import BroadcastPartitioner +from core.architecture.sendsemantics.hash_based_shuffle_partitioner import ( + HashBasedShufflePartitioner, +) +from core.architecture.sendsemantics.one_to_one_partitioner import OneToOnePartitioner +from core.architecture.sendsemantics.range_based_shuffle_partitioner import ( + RangeBasedShufflePartitioner, +) +from core.architecture.sendsemantics.round_robin_partitioner import ( + RoundRobinPartitioner, +) +from core.models import Tuple +from core.models.schema.schema import Schema +from core.models.state import State +from proto.org.apache.texera.amber.core import ( + ActorVirtualIdentity, + ChannelIdentity, +) +from proto.org.apache.texera.amber.engine.architecture.rpc import ( + EmbeddedControlMessage, +) +from proto.org.apache.texera.amber.engine.architecture.sendsemantics import ( + BroadcastPartitioning, Review Comment: yes, user can choose partitioning on the UI. it (at least was) very useful for sending multiple ML models to inference workers. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
