[jira] [Updated] (SPARK-42374) User-facing documentation

2023-03-14 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42374?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42374:
--
Summary: User-facing documentation  (was: User-facing documentaiton)

> User-facing documentation
> -
>
> Key: SPARK-42374
> URL: https://issues.apache.org/jira/browse/SPARK-42374
> Project: Spark
>  Issue Type: Documentation
>  Components: Connect
>Affects Versions: 3.4.0
>Reporter: Hyukjin Kwon
>Assignee: Haejoon Lee
>Priority: Major
>
> Should provide the user-facing documentation so end users how to use Spark 
> Connect.



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[jira] [Created] (SPARK-42797) Spark Connect - Grammatical improvements to Spark Overview and Spark Connect Overview doc pages

2023-03-14 Thread Allan Folting (Jira)
Allan Folting created SPARK-42797:
-

 Summary: Spark Connect - Grammatical improvements to Spark 
Overview and Spark Connect Overview doc pages
 Key: SPARK-42797
 URL: https://issues.apache.org/jira/browse/SPARK-42797
 Project: Spark
  Issue Type: Documentation
  Components: Spark Core
Affects Versions: 3.4.0
Reporter: Allan Folting


Grammatical improvements, this is a follow-up to this ticket:

Introducing Spark Connect on the main page and adding Spark Connect Overview 
page
https://issues.apache.org/jira/browse/SPARK-42496



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[jira] [Updated] (SPARK-42496) Introducing Spark Connect on the main page and adding Spark Connect Overview page

2023-03-14 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42496?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42496:
--
Summary: Introducing Spark Connect on the main page and adding Spark 
Connect Overview page  (was: Introducting Spark Connect at main page)

> Introducing Spark Connect on the main page and adding Spark Connect Overview 
> page
> -
>
> Key: SPARK-42496
> URL: https://issues.apache.org/jira/browse/SPARK-42496
> Project: Spark
>  Issue Type: Sub-task
>  Components: Connect, Documentation
>Affects Versions: 3.4.0
>Reporter: Haejoon Lee
>Assignee: Haejoon Lee
>Priority: Major
> Fix For: 3.4.1
>
>
> We should document the introduction of Spark Connect at PySpark main 
> documentation page to give a summary to users.



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[jira] [Created] (SPARK-42773) Minor grammatical change to "Supports Spark Connect" message

2023-03-13 Thread Allan Folting (Jira)
Allan Folting created SPARK-42773:
-

 Summary: Minor grammatical change to "Supports Spark Connect" 
message
 Key: SPARK-42773
 URL: https://issues.apache.org/jira/browse/SPARK-42773
 Project: Spark
  Issue Type: Documentation
  Components: PySpark
Affects Versions: 3.4.0
Reporter: Allan Folting


Changing "Support Spark Connect" to "Supports Spark Connect" in the 3.4.0 
version change message which is also used in the documentation:

 
.. versionchanged:: 3.4.0
     Supports Spark Connect.



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[jira] [Updated] (SPARK-42642) Make Python the first code example tab in the Spark documentation

2023-03-01 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42642:
--
Summary: Make Python the first code example tab in the Spark documentation  
(was: Make Python the first code example tab)

> Make Python the first code example tab in the Spark documentation
> -
>
> Key: SPARK-42642
> URL: https://issues.apache.org/jira/browse/SPARK-42642
> Project: Spark
>  Issue Type: Documentation
>  Components: Spark Core
>Affects Versions: 3.5.0
>Reporter: Allan Folting
>Priority: Major
> Attachments: Screenshot 2023-03-01 at 8.10.08 PM.png, Screenshot 
> 2023-03-01 at 8.10.22 PM.png
>
>
> Python is the most approachable and most popular language so it should be the 
> default language in code examples so this makes Python the first code example 
> tab consistently across the documentation, where applicable.
> This is continuing the work started with:
> https://issues.apache.org/jira/browse/SPARK-42493
> where these two pages were updated:
> [https://spark.apache.org/docs/latest/sql-getting-started.html]
> [https://spark.apache.org/docs/latest/sql-data-sources-load-save-functions.html]
>  
> Pages being updated now:
> [https://spark.apache.org/docs/latest/ml-classification-regression.html]
> [https://spark.apache.org/docs/latest/ml-clustering.html]
> [https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]
> [https://spark.apache.org/docs/latest/ml-datasource.html]
> [https://spark.apache.org/docs/latest/ml-features.html]
> [https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]
> [https://spark.apache.org/docs/latest/ml-migration-guide.html]
> [https://spark.apache.org/docs/latest/ml-pipeline.html]
> [https://spark.apache.org/docs/latest/ml-statistics.html]
> [https://spark.apache.org/docs/latest/ml-tuning.html]
>  
> [https://spark.apache.org/docs/latest/mllib-clustering.html]
> [https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]
> [https://spark.apache.org/docs/latest/mllib-data-types.html]
> [https://spark.apache.org/docs/latest/mllib-decision-tree.html]
> [https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]
> [https://spark.apache.org/docs/latest/mllib-ensembles.html]
> [https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]
> [https://spark.apache.org/docs/latest/mllib-feature-extraction.html]
> [https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]
> [https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]
> [https://spark.apache.org/docs/latest/mllib-linear-methods.html]
> [https://spark.apache.org/docs/latest/mllib-naive-bayes.html]
> [https://spark.apache.org/docs/latest/mllib-statistics.html]
>  
> [https://spark.apache.org/docs/latest/quick-start.html]
>  
> [https://spark.apache.org/docs/latest/rdd-programming-guide.html]
>  
> [https://spark.apache.org/docs/latest/sql-data-sources-avro.html]
> [https://spark.apache.org/docs/latest/sql-data-sources-binaryFile.html]
> [https://spark.apache.org/docs/latest/sql-data-sources-csv.html]
> [https://spark.apache.org/docs/latest/sql-data-sources-generic-options.html]
> [https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html]
> [https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html]
> [https://spark.apache.org/docs/latest/sql-data-sources-json.html]
> [https://spark.apache.org/docs/latest/sql-data-sources-parquet.html]
> sql-data-sources-protobuf.html
> [https://spark.apache.org/docs/latest/sql-data-sources-text.html]
> [https://spark.apache.org/docs/latest/sql-migration-guide.html]
> [https://spark.apache.org/docs/latest/sql-performance-tuning.html]
> [https://spark.apache.org/docs/latest/sql-ref-datatypes.html]
>  
> [https://spark.apache.org/docs/latest/streaming-kinesis-integration.html]
> [https://spark.apache.org/docs/latest/streaming-programming-guide.html]
>  
> [https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html]
> [https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]
>  
>  
>  
>  
>  
>  
>  
>  
>  
>  
>  
>  
>  
>  
>  



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[jira] [Updated] (SPARK-42642) Make Python the first code example tab

2023-03-01 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42642:
--
Description: 
Python is the most approachable and most popular language so it should be the 
default language in code examples so this makes Python the first code example 
tab consistently across the documentation, where applicable.

This is continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

where these two pages were updated:

[https://spark.apache.org/docs/latest/sql-getting-started.html]

[https://spark.apache.org/docs/latest/sql-data-sources-load-save-functions.html]

 

Pages being updated now:

[https://spark.apache.org/docs/latest/ml-classification-regression.html]

[https://spark.apache.org/docs/latest/ml-clustering.html]

[https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/ml-datasource.html]

[https://spark.apache.org/docs/latest/ml-features.html]

[https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/ml-migration-guide.html]

[https://spark.apache.org/docs/latest/ml-pipeline.html]

[https://spark.apache.org/docs/latest/ml-statistics.html]

[https://spark.apache.org/docs/latest/ml-tuning.html]

 

[https://spark.apache.org/docs/latest/mllib-clustering.html]

[https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/mllib-data-types.html]

[https://spark.apache.org/docs/latest/mllib-decision-tree.html]

[https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]

[https://spark.apache.org/docs/latest/mllib-ensembles.html]

[https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]

[https://spark.apache.org/docs/latest/mllib-feature-extraction.html]

[https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]

[https://spark.apache.org/docs/latest/mllib-linear-methods.html]

[https://spark.apache.org/docs/latest/mllib-naive-bayes.html]

[https://spark.apache.org/docs/latest/mllib-statistics.html]

 

[https://spark.apache.org/docs/latest/quick-start.html]

 

[https://spark.apache.org/docs/latest/rdd-programming-guide.html]

 

[https://spark.apache.org/docs/latest/sql-data-sources-avro.html]

[https://spark.apache.org/docs/latest/sql-data-sources-binaryFile.html]

[https://spark.apache.org/docs/latest/sql-data-sources-csv.html]

[https://spark.apache.org/docs/latest/sql-data-sources-generic-options.html]

[https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html]

[https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html]

[https://spark.apache.org/docs/latest/sql-data-sources-json.html]

[https://spark.apache.org/docs/latest/sql-data-sources-parquet.html]

sql-data-sources-protobuf.html

[https://spark.apache.org/docs/latest/sql-data-sources-text.html]

[https://spark.apache.org/docs/latest/sql-migration-guide.html]

[https://spark.apache.org/docs/latest/sql-performance-tuning.html]

[https://spark.apache.org/docs/latest/sql-ref-datatypes.html]

 

[https://spark.apache.org/docs/latest/streaming-kinesis-integration.html]

[https://spark.apache.org/docs/latest/streaming-programming-guide.html]

 

[https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html]

[https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  was:
Python is the most approachable and most popular language so it should be the 
default language in code examples so this makes Python the first code example 
tab consistently across the documentation, where applicable.

This is continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

where these two pages were updated:

[https://spark.apache.org/docs/latest/sql-getting-started.html]

[https://spark.apache.org/docs/latest/sql-data-sources-load-save-functions.html]

 

Pages being updated now:

[https://spark.apache.org/docs/latest/ml-classification-regression.html]

[https://spark.apache.org/docs/latest/ml-clustering.html]

[https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/ml-datasource.html]

[https://spark.apache.org/docs/latest/ml-features.html]

[https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/ml-migration-guide.html]

[https://spark.apache.org/docs/latest/ml-pipeline.html]

[https://spark.apache.org/docs/latest/ml-statistics.html]

[https://spark.apache.org/docs/latest/ml-tuning.html]

 

[https://spark.apache.org/docs/latest/mllib-clustering.html]

[https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/mllib-data-types.html]


[jira] [Updated] (SPARK-42642) Make Python the first code example tab

2023-03-01 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42642:
--
Description: 
Python is the most approachable and most popular language so it should be the 
default language in code examples so this makes Python the first code example 
tab consistently across the documentation, where applicable.

This is continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

where these two pages were updated:

[https://spark.apache.org/docs/latest/sql-getting-started.html]

[https://spark.apache.org/docs/latest/sql-data-sources-load-save-functions.html]

 

Pages being updated now:

[https://spark.apache.org/docs/latest/ml-classification-regression.html]

[https://spark.apache.org/docs/latest/ml-clustering.html]

[https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/ml-datasource.html]

[https://spark.apache.org/docs/latest/ml-features.html]

[https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/ml-migration-guide.html]

[https://spark.apache.org/docs/latest/ml-pipeline.html]

[https://spark.apache.org/docs/latest/ml-statistics.html]

[https://spark.apache.org/docs/latest/ml-tuning.html]

 

[https://spark.apache.org/docs/latest/mllib-clustering.html]

[https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/mllib-data-types.html]

[https://spark.apache.org/docs/latest/mllib-decision-tree.html]

[https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]

[https://spark.apache.org/docs/latest/mllib-ensembles.html]

[https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]

[https://spark.apache.org/docs/latest/mllib-feature-extraction.html]

[https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]

[https://spark.apache.org/docs/latest/mllib-linear-methods.html]

[https://spark.apache.org/docs/latest/mllib-naive-bayes.html]

[https://spark.apache.org/docs/latest/mllib-statistics.html]

 

[https://spark.apache.org/docs/latest/quick-start.html]

 

[https://spark.apache.org/docs/latest/rdd-programming-guide.html]

 

[https://spark.apache.org/docs/latest/sql-data-sources-avro.html]

[https://spark.apache.org/docs/latest/sql-data-sources-binaryFile.html]

[https://spark.apache.org/docs/latest/sql-data-sources-csv.html]

[https://spark.apache.org/docs/latest/sql-data-sources-generic-options.html]

[https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html]

[https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html]

[https://spark.apache.org/docs/latest/sql-data-sources-json.html]

[https://spark.apache.org/docs/latest/sql-data-sources-parquet.html]

sql-data-sources-protobuf.md

[https://spark.apache.org/docs/latest/sql-data-sources-text.html]

[https://spark.apache.org/docs/latest/sql-migration-guide.html]

[https://spark.apache.org/docs/latest/sql-performance-tuning.html]

[https://spark.apache.org/docs/latest/sql-ref-datatypes.html]

 

[https://spark.apache.org/docs/latest/streaming-kinesis-integration.html]

[https://spark.apache.org/docs/latest/streaming-programming-guide.html]

 

[https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html]

[https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  was:
Python is the most approachable and most popular language so it should be the 
default language in code examples.

Continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

Making Python the first code example tab consistently across the documentation, 
where applicable.

Pages being updated:
[https://spark.apache.org/docs/latest/rdd-programming-guide.html]

[https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/ml-statistics.html]

[https://spark.apache.org/docs/latest/ml-datasource.html]

[https://spark.apache.org/docs/latest/ml-pipeline.html]

[https://spark.apache.org/docs/latest/ml-features.html]

[https://spark.apache.org/docs/latest/ml-classification-regression.html]

[https://spark.apache.org/docs/latest/ml-clustering.html]

[https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/ml-tuning.html]

[https://spark.apache.org/docs/latest/ml-migration-guide.html]

[https://spark.apache.org/docs/latest/mllib-data-types.html]

[https://spark.apache.org/docs/latest/mllib-statistics.html]

[https://spark.apache.org/docs/latest/mllib-linear-methods.html]


[jira] [Updated] (SPARK-42642) Make Python the first code example tab

2023-03-01 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42642:
--
Description: 
Python is the most approachable and most popular language so it should be the 
default language in code examples.

Continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

Making Python the first code example tab consistently across the documentation, 
where applicable.

Pages being updated:
[https://spark.apache.org/docs/latest/rdd-programming-guide.html]

[https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/ml-statistics.html]

[https://spark.apache.org/docs/latest/ml-datasource.html]

[https://spark.apache.org/docs/latest/ml-pipeline.html]

[https://spark.apache.org/docs/latest/ml-features.html]

[https://spark.apache.org/docs/latest/ml-classification-regression.html]

[https://spark.apache.org/docs/latest/ml-clustering.html]

[https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/ml-tuning.html]

[https://spark.apache.org/docs/latest/ml-migration-guide.html]

[https://spark.apache.org/docs/latest/mllib-data-types.html]

[https://spark.apache.org/docs/latest/mllib-statistics.html]

[https://spark.apache.org/docs/latest/mllib-linear-methods.html]

[https://spark.apache.org/docs/latest/mllib-naive-bayes.html]

[https://spark.apache.org/docs/latest/mllib-decision-tree.html]

[https://spark.apache.org/docs/latest/mllib-ensembles.html]

[https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]

[https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/mllib-clustering.html]

[https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]

[https://spark.apache.org/docs/latest/mllib-feature-extraction.html]

[https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]

[https://spark.apache.org/docs/latest/quick-start.html]

 

  was:
Python is the most approachable and most popular language so it should be the 
default language in code examples.

Continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

Making Python the first code example tab consistently across the documentation, 
where applicable.

Pages being updated:
[https://spark.apache.org/docs/latest/rdd-programming-guide.html]

[https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/ml-statistics.html]

[https://spark.apache.org/docs/latest/ml-datasource.html]

[https://spark.apache.org/docs/latest/ml-pipeline.html]

[https://spark.apache.org/docs/latest/ml-features.html]

[https://spark.apache.org/docs/latest/ml-classification-regression.html]

[https://spark.apache.org/docs/latest/ml-clustering.html]

[https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/ml-tuning.html]

[https://spark.apache.org/docs/latest/mllib-data-types.html]

[https://spark.apache.org/docs/latest/mllib-statistics.html]

[https://spark.apache.org/docs/latest/mllib-linear-methods.html]

[https://spark.apache.org/docs/latest/mllib-naive-bayes.html]

[https://spark.apache.org/docs/latest/mllib-decision-tree.html]

[https://spark.apache.org/docs/latest/mllib-ensembles.html]

[https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]

[https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/mllib-clustering.html]

[https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]

[https://spark.apache.org/docs/latest/mllib-feature-extraction.html]

[https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]

 

 

 

 


> Make Python the first code example tab
> --
>
> Key: SPARK-42642
> URL: https://issues.apache.org/jira/browse/SPARK-42642
> Project: Spark
>  Issue Type: Documentation
>  Components: Spark Core
>Affects Versions: 3.5.0
>Reporter: Allan Folting
>Priority: Major
> Attachments: Screenshot 2023-03-01 at 8.10.08 PM.png, Screenshot 
> 2023-03-01 at 8.10.22 PM.png
>
>
> Python is the most approachable and most popular language so it should be the 
> default language in code examples.
> Continuing the work started with:
> 

[jira] [Updated] (SPARK-42642) Make Python the first code example tab

2023-03-01 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42642:
--
Attachment: Screenshot 2023-03-01 at 8.10.22 PM.png

> Make Python the first code example tab
> --
>
> Key: SPARK-42642
> URL: https://issues.apache.org/jira/browse/SPARK-42642
> Project: Spark
>  Issue Type: Documentation
>  Components: Spark Core
>Affects Versions: 3.5.0
>Reporter: Allan Folting
>Priority: Major
> Attachments: Screenshot 2023-03-01 at 8.10.08 PM.png, Screenshot 
> 2023-03-01 at 8.10.22 PM.png
>
>
> Python is the most approachable and most popular language so it should be the 
> default language in code examples.
> Continuing the work started with:
> https://issues.apache.org/jira/browse/SPARK-42493
> Making Python the first code example tab consistently across the 
> documentation, where applicable.
> Pages being updated:
> [https://spark.apache.org/docs/latest/rdd-programming-guide.html]
> [https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]
> [https://spark.apache.org/docs/latest/streaming-programming-guide.html]
> [https://spark.apache.org/docs/latest/ml-statistics.html]
> [https://spark.apache.org/docs/latest/ml-datasource.html]
> [https://spark.apache.org/docs/latest/ml-pipeline.html]
> [https://spark.apache.org/docs/latest/ml-features.html]
> [https://spark.apache.org/docs/latest/ml-classification-regression.html]
> [https://spark.apache.org/docs/latest/ml-clustering.html]
> [https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]
> [https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]
> [https://spark.apache.org/docs/latest/ml-tuning.html]
> [https://spark.apache.org/docs/latest/mllib-data-types.html]
> [https://spark.apache.org/docs/latest/mllib-statistics.html]
> [https://spark.apache.org/docs/latest/mllib-linear-methods.html]
> [https://spark.apache.org/docs/latest/mllib-naive-bayes.html]
> [https://spark.apache.org/docs/latest/mllib-decision-tree.html]
> [https://spark.apache.org/docs/latest/mllib-ensembles.html]
> [https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]
> [https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]
> [https://spark.apache.org/docs/latest/mllib-clustering.html]
> [https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]
> [https://spark.apache.org/docs/latest/mllib-feature-extraction.html]
> [https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]
> [https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]
>  
>  
>  
>  



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[jira] [Updated] (SPARK-42642) Make Python the first code example tab

2023-03-01 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42642:
--
Attachment: Screenshot 2023-03-01 at 8.10.08 PM.png

> Make Python the first code example tab
> --
>
> Key: SPARK-42642
> URL: https://issues.apache.org/jira/browse/SPARK-42642
> Project: Spark
>  Issue Type: Documentation
>  Components: Spark Core
>Affects Versions: 3.5.0
>Reporter: Allan Folting
>Priority: Major
> Attachments: Screenshot 2023-03-01 at 8.10.08 PM.png, Screenshot 
> 2023-03-01 at 8.10.22 PM.png
>
>
> Python is the most approachable and most popular language so it should be the 
> default language in code examples.
> Continuing the work started with:
> https://issues.apache.org/jira/browse/SPARK-42493
> Making Python the first code example tab consistently across the 
> documentation, where applicable.
> Pages being updated:
> [https://spark.apache.org/docs/latest/rdd-programming-guide.html]
> [https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]
> [https://spark.apache.org/docs/latest/streaming-programming-guide.html]
> [https://spark.apache.org/docs/latest/ml-statistics.html]
> [https://spark.apache.org/docs/latest/ml-datasource.html]
> [https://spark.apache.org/docs/latest/ml-pipeline.html]
> [https://spark.apache.org/docs/latest/ml-features.html]
> [https://spark.apache.org/docs/latest/ml-classification-regression.html]
> [https://spark.apache.org/docs/latest/ml-clustering.html]
> [https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]
> [https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]
> [https://spark.apache.org/docs/latest/ml-tuning.html]
> [https://spark.apache.org/docs/latest/mllib-data-types.html]
> [https://spark.apache.org/docs/latest/mllib-statistics.html]
> [https://spark.apache.org/docs/latest/mllib-linear-methods.html]
> [https://spark.apache.org/docs/latest/mllib-naive-bayes.html]
> [https://spark.apache.org/docs/latest/mllib-decision-tree.html]
> [https://spark.apache.org/docs/latest/mllib-ensembles.html]
> [https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]
> [https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]
> [https://spark.apache.org/docs/latest/mllib-clustering.html]
> [https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]
> [https://spark.apache.org/docs/latest/mllib-feature-extraction.html]
> [https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]
> [https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]
>  
>  
>  
>  



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[jira] [Updated] (SPARK-42642) Make Python the first code example tab

2023-03-01 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42642:
--
Description: 
Python is the most approachable and most popular language so it should be the 
default language in code examples.

Continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

Making Python the first code example tab consistently across the documentation, 
where applicable.

Pages being updated:
[https://spark.apache.org/docs/latest/rdd-programming-guide.html]

[https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/ml-statistics.html]

[https://spark.apache.org/docs/latest/ml-datasource.html]

[https://spark.apache.org/docs/latest/ml-pipeline.html]

[https://spark.apache.org/docs/latest/ml-features.html]

[https://spark.apache.org/docs/latest/ml-classification-regression.html]

[https://spark.apache.org/docs/latest/ml-clustering.html]

[https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/ml-tuning.html]

[https://spark.apache.org/docs/latest/mllib-data-types.html]

[https://spark.apache.org/docs/latest/mllib-statistics.html]

[https://spark.apache.org/docs/latest/mllib-linear-methods.html]

[https://spark.apache.org/docs/latest/mllib-naive-bayes.html]

[https://spark.apache.org/docs/latest/mllib-decision-tree.html]

[https://spark.apache.org/docs/latest/mllib-ensembles.html]

[https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]

[https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/mllib-clustering.html]

[https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]

[https://spark.apache.org/docs/latest/mllib-feature-extraction.html]

[https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]

 

 

 

 

  was:
Python is the most approachable and most popular language so it should be the 
default language in code examples.

Continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

Making Python the first code example tab consistently across the documentation, 
where applicable.

Pages being updated:
[https://spark.apache.org/docs/latest/rdd-programming-guide.html]

[https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/ml-statistics.html]

[https://spark.apache.org/docs/latest/ml-datasource.html]

[https://spark.apache.org/docs/latest/ml-pipeline.html]

[https://spark.apache.org/docs/latest/ml-features.html]

[https://spark.apache.org/docs/latest/ml-classification-regression.html]

[https://spark.apache.org/docs/latest/ml-clustering.html]

[https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/ml-tuning.html]

[https://spark.apache.org/docs/latest/mllib-data-types.html]

[https://spark.apache.org/docs/latest/mllib-statistics.html]

[https://spark.apache.org/docs/latest/mllib-linear-methods.html]

[https://spark.apache.org/docs/latest/mllib-naive-bayes.html]

[https://spark.apache.org/docs/latest/mllib-decision-tree.html]

[https://spark.apache.org/docs/latest/mllib-ensembles.html]

[https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]

[https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/mllib-clustering.html]

[https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]

[https://spark.apache.org/docs/latest/mllib-feature-extraction.html]

[https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]

 

 


> Make Python the first code example tab
> --
>
> Key: SPARK-42642
> URL: https://issues.apache.org/jira/browse/SPARK-42642
> Project: Spark
>  Issue Type: Documentation
>  Components: Spark Core
>Affects Versions: 3.5.0
>Reporter: Allan Folting
>Priority: Major
>
> Python is the most approachable and most popular language so it should be the 
> default language in code examples.
> Continuing the work started with:
> https://issues.apache.org/jira/browse/SPARK-42493
> Making Python the first code example tab consistently across the 
> documentation, where applicable.
> Pages being updated:
> 

[jira] [Updated] (SPARK-42642) Make Python the first code example tab

2023-03-01 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42642:
--
Description: 
Python is the most approachable and most popular language so it should be the 
default language in code examples.

Continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

Making Python the first code example tab consistently across the documentation, 
where applicable.

Pages being updated:
[https://spark.apache.org/docs/latest/rdd-programming-guide.html]

[https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/streaming-programming-guide.html]

[https://spark.apache.org/docs/latest/ml-statistics.html]

[https://spark.apache.org/docs/latest/ml-datasource.html]

[https://spark.apache.org/docs/latest/ml-pipeline.html]

[https://spark.apache.org/docs/latest/ml-features.html]

[https://spark.apache.org/docs/latest/ml-classification-regression.html]

[https://spark.apache.org/docs/latest/ml-clustering.html]

[https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/ml-tuning.html]

[https://spark.apache.org/docs/latest/mllib-data-types.html]

[https://spark.apache.org/docs/latest/mllib-statistics.html]

[https://spark.apache.org/docs/latest/mllib-linear-methods.html]

[https://spark.apache.org/docs/latest/mllib-naive-bayes.html]

[https://spark.apache.org/docs/latest/mllib-decision-tree.html]

[https://spark.apache.org/docs/latest/mllib-ensembles.html]

[https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]

[https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]

[https://spark.apache.org/docs/latest/mllib-clustering.html]

[https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]

[https://spark.apache.org/docs/latest/mllib-feature-extraction.html]

[https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]

[https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]

 

 

  was:
Python is the most approachable and most popular language so it should be the 
default language in code examples.

Continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

Making Python the first code example tab consistently across the documentation, 
where applicable.


> Make Python the first code example tab
> --
>
> Key: SPARK-42642
> URL: https://issues.apache.org/jira/browse/SPARK-42642
> Project: Spark
>  Issue Type: Documentation
>  Components: Spark Core
>Affects Versions: 3.5.0
>Reporter: Allan Folting
>Priority: Major
>
> Python is the most approachable and most popular language so it should be the 
> default language in code examples.
> Continuing the work started with:
> https://issues.apache.org/jira/browse/SPARK-42493
> Making Python the first code example tab consistently across the 
> documentation, where applicable.
> Pages being updated:
> [https://spark.apache.org/docs/latest/rdd-programming-guide.html]
> [https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html]
> [https://spark.apache.org/docs/latest/streaming-programming-guide.html]
> [https://spark.apache.org/docs/latest/ml-statistics.html]
> [https://spark.apache.org/docs/latest/ml-datasource.html]
> [https://spark.apache.org/docs/latest/ml-pipeline.html]
> [https://spark.apache.org/docs/latest/ml-features.html]
> [https://spark.apache.org/docs/latest/ml-classification-regression.html]
> [https://spark.apache.org/docs/latest/ml-clustering.html]
> [https://spark.apache.org/docs/latest/ml-collaborative-filtering.html]
> [https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html]
> [https://spark.apache.org/docs/latest/ml-tuning.html]
> [https://spark.apache.org/docs/latest/mllib-data-types.html]
> [https://spark.apache.org/docs/latest/mllib-statistics.html]
> [https://spark.apache.org/docs/latest/mllib-linear-methods.html]
> [https://spark.apache.org/docs/latest/mllib-naive-bayes.html]
> [https://spark.apache.org/docs/latest/mllib-decision-tree.html]
> [https://spark.apache.org/docs/latest/mllib-ensembles.html]
> [https://spark.apache.org/docs/latest/mllib-isotonic-regression.html]
> [https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html]
> [https://spark.apache.org/docs/latest/mllib-clustering.html]
> [https://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html]
> [https://spark.apache.org/docs/latest/mllib-feature-extraction.html]
> [https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html]
> [https://spark.apache.org/docs/latest/mllib-evaluation-metrics.html]
>  
>  



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[jira] [Updated] (SPARK-42642) Make Python the first code example tab

2023-03-01 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42642:
--
Summary: Make Python the first code example tab  (was: Make Python the 
first code example tab - )

> Make Python the first code example tab
> --
>
> Key: SPARK-42642
> URL: https://issues.apache.org/jira/browse/SPARK-42642
> Project: Spark
>  Issue Type: Documentation
>  Components: Spark Core
>Affects Versions: 3.5.0
>Reporter: Allan Folting
>Priority: Major
>
> Python is the most approachable and most popular language so it should be the 
> default language in code examples.
> Continuing the work started with:
> https://issues.apache.org/jira/browse/SPARK-42493
> Making Python the first code example tab consistently across the 
> documentation, where applicable.



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[jira] [Created] (SPARK-42642) Make Python the first code example tab -

2023-03-01 Thread Allan Folting (Jira)
Allan Folting created SPARK-42642:
-

 Summary: Make Python the first code example tab - 
 Key: SPARK-42642
 URL: https://issues.apache.org/jira/browse/SPARK-42642
 Project: Spark
  Issue Type: Documentation
  Components: Spark Core
Affects Versions: 3.5.0
Reporter: Allan Folting


Python is the most approachable and most popular language so it should be the 
default language in code examples.

Continuing the work started with:

https://issues.apache.org/jira/browse/SPARK-42493

Making Python the first code example tab consistently across the documentation, 
where applicable.



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[jira] [Updated] (SPARK-42493) Spark SQL, DataFrames and Datasets Guide - make Python the first code example tab

2023-02-19 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42493:
--
Summary: Spark SQL, DataFrames and Datasets Guide - make Python the first 
code example tab  (was: Spark SQL, DataFrames and Datasets Guide - make Python 
the first example tab)

> Spark SQL, DataFrames and Datasets Guide - make Python the first code example 
> tab
> -
>
> Key: SPARK-42493
> URL: https://issues.apache.org/jira/browse/SPARK-42493
> Project: Spark
>  Issue Type: Documentation
>  Components: Spark Core
>Affects Versions: 3.5.0
>Reporter: Allan Folting
>Priority: Major
>
> Python is the easiest approachable and most popular language so it should be 
> the primary language in examples etc.



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[jira] [Created] (SPARK-42493) Spark SQL, DataFrames and Datasets Guide - make Python the first example tab

2023-02-19 Thread Allan Folting (Jira)
Allan Folting created SPARK-42493:
-

 Summary: Spark SQL, DataFrames and Datasets Guide - make Python 
the first example tab
 Key: SPARK-42493
 URL: https://issues.apache.org/jira/browse/SPARK-42493
 Project: Spark
  Issue Type: Documentation
  Components: Spark Core
Affects Versions: 3.4.0
Reporter: Allan Folting


Python is the easiest approachable and most popular language so it should be 
the primary language in examples etc.



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[jira] [Updated] (SPARK-42456) Consolidating the PySpark version upgrade note pages into a single page to make it easier to read

2023-02-15 Thread Allan Folting (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-42456?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Allan Folting updated SPARK-42456:
--
Description: 
Creating a new PySpark migration guide sub page and consolidating the existing 
9 separate pages into this one new page. This makes it easier to take a look 
across multiple version upgrades by simply scrolling on the page.

Also, this is similar to the Spark Core Migration Guide page here:

[https://spark.apache.org/docs/latest/core-migration-guide.html]

 

Updating the existing main Migration Guide page to point to this new sub page 
and also making some minor language updates to help readers.

  was:
Creating a new PySpark migration guide and consolidating the existing 9 
separate pages into this one new page. This makes it easier to take a look 
across multiple version upgrades by simply scrolling on the page.

Also, this is similar to the Spark Core Migration Guide page here:

[https://spark.apache.org/docs/latest/core-migration-guide.html]

 

Updating the existing main Migration Guide page to point to this new sub page 
and also making some minor language updates to help readers.


> Consolidating the PySpark version upgrade note pages into a single page to 
> make it easier to read
> -
>
> Key: SPARK-42456
> URL: https://issues.apache.org/jira/browse/SPARK-42456
> Project: Spark
>  Issue Type: Documentation
>  Components: PySpark
>Affects Versions: 3.4.0
>Reporter: Allan Folting
>Priority: Major
>
> Creating a new PySpark migration guide sub page and consolidating the 
> existing 9 separate pages into this one new page. This makes it easier to 
> take a look across multiple version upgrades by simply scrolling on the page.
> Also, this is similar to the Spark Core Migration Guide page here:
> [https://spark.apache.org/docs/latest/core-migration-guide.html]
>  
> Updating the existing main Migration Guide page to point to this new sub page 
> and also making some minor language updates to help readers.



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[jira] [Created] (SPARK-42456) Consolidating the PySpark version upgrade note pages into a single page to make it easier to read

2023-02-15 Thread Allan Folting (Jira)
Allan Folting created SPARK-42456:
-

 Summary: Consolidating the PySpark version upgrade note pages into 
a single page to make it easier to read
 Key: SPARK-42456
 URL: https://issues.apache.org/jira/browse/SPARK-42456
 Project: Spark
  Issue Type: Documentation
  Components: PySpark
Affects Versions: 3.4.0
Reporter: Allan Folting


Creating a new PySpark migration guide and consolidating the existing 9 
separate pages into this one new page. This makes it easier to take a look 
across multiple version upgrades by simply scrolling on the page.

Also, this is similar to the Spark Core Migration Guide page here:

[https://spark.apache.org/docs/latest/core-migration-guide.html]

 

Updating the existing main Migration Guide page to point to this new sub page 
and also making some minor language updates to help readers.



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[jira] [Created] (SPARK-42446) Updating PySpark documentation to enhance usability

2023-02-14 Thread Allan Folting (Jira)
Allan Folting created SPARK-42446:
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 Summary: Updating PySpark documentation to enhance usability
 Key: SPARK-42446
 URL: https://issues.apache.org/jira/browse/SPARK-42446
 Project: Spark
  Issue Type: Documentation
  Components: PySpark
Affects Versions: 3.4.0
Reporter: Allan Folting


Updates to the PySpark documentation web site:
 * Fixing typo on the Getting Started page (Version => Versions)
 * Capitalizing "In/Out" in the DataFrame Quick Start notebook
 * Adding "(Legacy)" to the Spark Streaming heading on the Spark Streaming page
 * Reorganizing the User Guide page to list PySpark guides first + minor 
language updates



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[jira] [Created] (SPARK-42418) Updating PySpark documentation to support new users better

2023-02-12 Thread Allan Folting (Jira)
Allan Folting created SPARK-42418:
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 Summary: Updating PySpark documentation to support new users better
 Key: SPARK-42418
 URL: https://issues.apache.org/jira/browse/SPARK-42418
 Project: Spark
  Issue Type: Documentation
  Components: PySpark
Affects Versions: 3.4.0
Reporter: Allan Folting


This is the first of a series of updates to the PySpark documentation site to 
better guide new users on what to use and when as well as help improve 
discoverability of related pages/resources.
 * Add "Overview" to the top navigation bar to make it easy to get back to the 
main page (clicking the logo is not super discoverable)
 * Break architecture image into separate, clickable parts for easy navigation 
to information for each part
 * Added links to related topics under each area description
 * Added date and version to the page



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