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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. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > [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] -- This message was sent by Atlassian JIRA (v7.6.3#76005)