dianfu commented on a change in pull request #10017: [FLINK-14019][python] add 
support for managing environment and dependencies of Python UDF in Flink Python 
API
URL: https://github.com/apache/flink/pull/10017#discussion_r349115912
 
 

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 File path: flink-python/pyflink/common/dependency_manager.py
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 @@ -0,0 +1,99 @@
+################################################################################
+#  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 json
+import os
+import uuid
+
+__all__ = ['DependencyManager']
+
+
+class DependencyManager(object):
+    """
+    Container class of dependency-related configuration. It collects all the 
dependency
 
 Review comment:
   Remove the comment "It collects all the dependency configuration and 
transmit them to JVM before executing job."? It's confusing. What does it mean 
to transmit config to JVM? Doesn't all Py4J-based program works this way?

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