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https://issues.apache.org/jira/browse/ARROW-1425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16329915#comment-16329915
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ASF GitHub Bot commented on ARROW-1425:
---------------------------------------

cloud-fan commented on a change in pull request #1095: ARROW-1425 [Python] 
Document semantic differences between Spark and Arrow timestamps
URL: https://github.com/apache/arrow/pull/1095#discussion_r162237780
 
 

 ##########
 File path: python/doc/source/other_systems.rst
 ##########
 @@ -0,0 +1,182 @@
+.. 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.
+
+.. currentmodule:: pyarrow
+.. _other_systems:
+
+Using Arrow with other systems
+==============================
+
+Timestamps
+----------
+
+Timestamps are data structures that mark a particular point in time
 
 Review comment:
   It seems like parquet has a `FloatingTimestamp` type now.

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> [Python] Document semantic differences between Spark timestamps and Arrow 
> timestamps
> ------------------------------------------------------------------------------------
>
>                 Key: ARROW-1425
>                 URL: https://issues.apache.org/jira/browse/ARROW-1425
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>            Reporter: Wes McKinney
>            Assignee: Heimir Thor Sverrisson
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.9.0
>
>
> The way that Spark treats non-timezone-aware timestamps as session local can 
> be problematic when using pyarrow which may view the data coming from 
> toPandas() as time zone naive (but with fields as though it were UTC, not 
> session local). We should document carefully how to properly handle the data 
> coming from Spark to avoid problems.
> cc [~bryanc] [~holdenkarau]



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