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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/02/11 02:09:00 UTC
[jira] [Updated] (SPARK-26759) Arrow optimization in SparkR's
interoperability
[ https://issues.apache.org/jira/browse/SPARK-26759?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-26759:
---------------------------------
Description:
Arrow 0.12.0 is release and it contains R API. We could optimize Spark DaraFrame <> R DataFrame interoperability.
For instance see the examples below:
- {{dapply}}
{code:java}
df <- createDataFrame(mtcars)
collect(dapply(df,
function(r.data.frame) {
data.frame(r.data.frame$gear)
},
structType("gear long")))
{code}
- {{gapply}}
{code:java}
df <- createDataFrame(mtcars)
collect(gapply(df,
"gear",
function(key, group) {
data.frame(gear = key[[1]], disp = mean(group$disp) > group$disp)
},
structType("gear double, disp boolean")))
{code}
- R DataFrame -> Spark DataFrame
{code:java}
createDataFrame(mtcars)
{code}
- Spark DataFrame -> R DataFrame
{code:java}
collect(df)
head(df)
{code}
was:Arrow 0.12.0 is release and it contains R API. We could optimize Spark DaraFrame <> R DataFrame interoperability.
> Arrow optimization in SparkR's interoperability
> -----------------------------------------------
>
> Key: SPARK-26759
> URL: https://issues.apache.org/jira/browse/SPARK-26759
> Project: Spark
> Issue Type: Umbrella
> Components: SparkR, SQL
> Affects Versions: 3.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: release-notes
>
> Arrow 0.12.0 is release and it contains R API. We could optimize Spark DaraFrame <> R DataFrame interoperability.
> For instance see the examples below:
> - {{dapply}}
> {code:java}
> df <- createDataFrame(mtcars)
> collect(dapply(df,
> function(r.data.frame) {
> data.frame(r.data.frame$gear)
> },
> structType("gear long")))
> {code}
> - {{gapply}}
> {code:java}
> df <- createDataFrame(mtcars)
> collect(gapply(df,
> "gear",
> function(key, group) {
> data.frame(gear = key[[1]], disp = mean(group$disp) > group$disp)
> },
> structType("gear double, disp boolean")))
> {code}
> - R DataFrame -> Spark DataFrame
> {code:java}
> createDataFrame(mtcars)
> {code}
> - Spark DataFrame -> R DataFrame
> {code:java}
> collect(df)
> head(df)
> {code}
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