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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/02/14 20:46:41 UTC
[GitHub] [spark] BryanCutler opened a new pull request #27587:
[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
versions
BryanCutler opened a new pull request #27587: [SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow versions
URL: https://github.com/apache/spark/pull/27587
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### What changes were proposed in this pull request?
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Add doc for recommended pandas and pyarrow versions.
### Why are the changes needed?
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The recommended versions are those that have been thoroughly tested by Spark CI. Other versions may be used at the discretion of the user.
### Does this PR introduce any user-facing change?
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### How was this patch tested?
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[GitHub] [spark] AmplabJenkins commented on issue #27587:
[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
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Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/spark/pull/27587#issuecomment-586781022
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[GitHub] [spark] holdenk commented on issue #27587:
[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
versions
Posted by GitBox <gi...@apache.org>.
holdenk commented on issue #27587: [SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow versions
URL: https://github.com/apache/spark/pull/27587#issuecomment-586504034
LGTM
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[GitHub] [spark] SparkQA commented on issue #27587:
[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
versions
Posted by GitBox <gi...@apache.org>.
SparkQA commented on issue #27587: [SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow versions
URL: https://github.com/apache/spark/pull/27587#issuecomment-586783194
**[Test build #118516 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/118516/testReport)** for PR 27587 at commit [`1f68786`](https://github.com/apache/spark/commit/1f687866bcf65b8dbdcd04944f6748a4f4be197a).
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[GitHub] [spark] SparkQA commented on issue #27587:
[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
versions
Posted by GitBox <gi...@apache.org>.
SparkQA commented on issue #27587: [SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow versions
URL: https://github.com/apache/spark/pull/27587#issuecomment-586470944
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[GitHub] [spark] BryanCutler commented on issue #27587:
[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
versions
Posted by GitBox <gi...@apache.org>.
BryanCutler commented on issue #27587: [SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow versions
URL: https://github.com/apache/spark/pull/27587#issuecomment-586466687
cc @HyukjinKwon @dongjoon-hyun
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[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
versions
Posted by GitBox <gi...@apache.org>.
SparkQA commented on issue #27587: [SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow versions
URL: https://github.com/apache/spark/pull/27587#issuecomment-586782055
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[GitHub] [spark] HyukjinKwon commented on issue #27587:
[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
versions
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on issue #27587: [SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow versions
URL: https://github.com/apache/spark/pull/27587#issuecomment-586788024
I just addressed my minor comment. I manually built and checked the documentation as well. We don't build the doc in PR builders. Let me merge this.
Merged to master.
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27587:
[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
versions
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on a change in pull request #27587: [SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow versions
URL: https://github.com/apache/spark/pull/27587#discussion_r379824088
##########
File path: docs/sql-pyspark-pandas-with-arrow.md
##########
@@ -255,6 +255,12 @@ different than a Pandas timestamp. It is recommended to use Pandas time series f
working with timestamps in `pandas_udf`s to get the best performance, see
[here](https://pandas.pydata.org/pandas-docs/stable/timeseries.html) for details.
+### Recommended Pandas and PyArrow Versions
+
+For usage with pyspark.sql, the supported versions of Pandas is 0.24.2 and PyArrow is 0.15.1. Higher
Review comment:
@BryanCutler, seems we should fix one instance at "Ensure PyArrow Installed" too.
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27587:
[SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow
versions
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on a change in pull request #27587: [SPARK-30834][DOCS][PYTHON] Add note for recommended pandas and pyarrow versions
URL: https://github.com/apache/spark/pull/27587#discussion_r379824088
##########
File path: docs/sql-pyspark-pandas-with-arrow.md
##########
@@ -255,6 +255,12 @@ different than a Pandas timestamp. It is recommended to use Pandas time series f
working with timestamps in `pandas_udf`s to get the best performance, see
[here](https://pandas.pydata.org/pandas-docs/stable/timeseries.html) for details.
+### Recommended Pandas and PyArrow Versions
+
+For usage with pyspark.sql, the supported versions of Pandas is 0.24.2 and PyArrow is 0.15.1. Higher
Review comment:
@BryanCutler, seems we should fix one instance at "Ensure PyArrow Installed" too.
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Thanks @dongjoon-hyun and @holdenk !
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[GitHub] [spark] HyukjinKwon edited a comment on issue #27587:
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I just addressed my minor comment. I manually built and checked the documentation as well. We don't build the doc in PR builders. Let me merge this.
Merged to master and branch-3.0.
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27587:
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URL: https://github.com/apache/spark/pull/27587#discussion_r379824186
##########
File path: docs/sql-pyspark-pandas-with-arrow.md
##########
@@ -255,6 +255,12 @@ different than a Pandas timestamp. It is recommended to use Pandas time series f
working with timestamps in `pandas_udf`s to get the best performance, see
[here](https://pandas.pydata.org/pandas-docs/stable/timeseries.html) for details.
+### Recommended Pandas and PyArrow Versions
+
+For usage with pyspark.sql, the supported versions of Pandas is 0.24.2 and PyArrow is 0.15.1. Higher
Review comment:
Bryan, we should maybe fix 0.15+ to just 0.15.1 at "Ensure PyArrow Installed".
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