[jira] [Updated] (SPARK-47466) Add PySpark DataFrame method to return iterator of PyArrow RecordBatches

2024-06-02 Thread Ian Cook (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-47466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ian Cook updated SPARK-47466:
-
Component/s: Connect
 Input/Output
 SQL

> Add PySpark DataFrame method to return iterator of PyArrow RecordBatches
> 
>
> Key: SPARK-47466
> URL: https://issues.apache.org/jira/browse/SPARK-47466
> Project: Spark
>  Issue Type: Improvement
>  Components: Connect, Input/Output, PySpark, SQL
>Affects Versions: 3.5.1
>Reporter: Ian Cook
>Priority: Major
>
> As a follow-up to SPARK-47365:
> {{toArrow()}} is useful when the data is relatively small. For larger data, 
> the best way to return the contents of a PySpark DataFrame in Arrow format is 
> to return an iterator of [PyArrow 
> RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-47466) Add PySpark DataFrame method to return iterator of PyArrow RecordBatches

2024-06-02 Thread Ian Cook (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-47466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ian Cook updated SPARK-47466:
-
Affects Version/s: 4.0.0

> Add PySpark DataFrame method to return iterator of PyArrow RecordBatches
> 
>
> Key: SPARK-47466
> URL: https://issues.apache.org/jira/browse/SPARK-47466
> Project: Spark
>  Issue Type: Improvement
>  Components: Connect, Input/Output, PySpark, SQL
>Affects Versions: 4.0.0, 3.5.1
>Reporter: Ian Cook
>Priority: Major
>
> As a follow-up to SPARK-47365:
> {{toArrow()}} is useful when the data is relatively small. For larger data, 
> the best way to return the contents of a PySpark DataFrame in Arrow format is 
> to return an iterator of [PyArrow 
> RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-47466) Add PySpark DataFrame method to return iterator of PyArrow RecordBatches

2024-05-09 Thread Ian Cook (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-47466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ian Cook updated SPARK-47466:
-
Description: 
As a follow-up to SPARK-47365:

{{toArrow()}} is useful when the data is relatively small. For larger data, the 
best way to return the contents of a PySpark DataFrame in Arrow format is to 
return an iterator of [PyArrow 
RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].

  was:
As a follow-up to SPARK-47365:

*toArrow()* is useful when the data is relatively small. For larger data, the 
best way to return the contents of a PySpark DataFrame in Arrow format is to 
return an iterator of [PyArrow 
RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].


> Add PySpark DataFrame method to return iterator of PyArrow RecordBatches
> 
>
> Key: SPARK-47466
> URL: https://issues.apache.org/jira/browse/SPARK-47466
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 3.5.1
>Reporter: Ian Cook
>Priority: Major
>
> As a follow-up to SPARK-47365:
> {{toArrow()}} is useful when the data is relatively small. For larger data, 
> the best way to return the contents of a PySpark DataFrame in Arrow format is 
> to return an iterator of [PyArrow 
> RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-47466) Add PySpark DataFrame method to return iterator of PyArrow RecordBatches

2024-05-08 Thread Ian Cook (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-47466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ian Cook updated SPARK-47466:
-
Description: 
As a follow-up to SPARK-47365:

*toArrow()* is useful when the data is relatively small. For larger data, the 
best way to return the contents of a PySpark DataFrame in Arrow format is to 
return an iterator of [PyArrow 
RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].

  was:
As a follow-up to SPARK-47365:

*toArrowTable()* is useful when the data is relatively small. For larger data, 
the best way to return the contents of a PySpark DataFrame in Arrow format is 
to return an iterator of [PyArrow 
RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].


> Add PySpark DataFrame method to return iterator of PyArrow RecordBatches
> 
>
> Key: SPARK-47466
> URL: https://issues.apache.org/jira/browse/SPARK-47466
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 3.5.1
>Reporter: Ian Cook
>Priority: Major
>
> As a follow-up to SPARK-47365:
> *toArrow()* is useful when the data is relatively small. For larger data, the 
> best way to return the contents of a PySpark DataFrame in Arrow format is to 
> return an iterator of [PyArrow 
> RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-47466) Add PySpark DataFrame method to return iterator of PyArrow RecordBatches

2024-05-07 Thread Ian Cook (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-47466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ian Cook updated SPARK-47466:
-
Description: 
As a follow-up to SPARK-47365:

*toArrowTable()* is useful when the data is relatively small. For larger data, 
the best way to return the contents of a PySpark DataFrame in Arrow format is 
to return an iterator of [PyArrow 
RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].

  was:
As a follow-up to SPARK-47365:

*toArrow()* is useful when the data is relatively small. For larger data, the 
best way to return the contents of a PySpark DataFrame in Arrow format is to 
return an iterator of [PyArrow 
RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].
 


> Add PySpark DataFrame method to return iterator of PyArrow RecordBatches
> 
>
> Key: SPARK-47466
> URL: https://issues.apache.org/jira/browse/SPARK-47466
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 3.5.1
>Reporter: Ian Cook
>Priority: Major
>
> As a follow-up to SPARK-47365:
> *toArrowTable()* is useful when the data is relatively small. For larger 
> data, the best way to return the contents of a PySpark DataFrame in Arrow 
> format is to return an iterator of [PyArrow 
> RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org