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ARROW-4262: [Website] Preview to Spark with Arrow and R improvements #3001

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[Website] Preview to Spark with Arrow and R improvements
javierluraschi Nov 20, 2018
259cbb5
explain sparklyr implementation, plots and stats
javierluraschi Nov 21, 2018
7f298ff
increment benchmark iterations to 100
javierluraschi Nov 22, 2018
9b5a3d0
add reference to specific sparklyr branch
javierluraschi Dec 3, 2018
23dc228
Fix some typos
wesm Jan 21, 2019
aa6aec7
update blog post with arrow 0.12 and 10m rows
javierluraschi Jan 23, 2019
fae7e01
add github references to arrow 0.12 release
javierluraschi Jan 23, 2019
f3c3e99
use more accurate multipliers describing improements
javierluraschi Jan 23, 2019
966ecf6
add reference to ongoing sparkr work
javierluraschi Jan 24, 2019
36e1bcb
proper capitalization for sparkr project
javierluraschi Jan 24, 2019
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28 changes: 15 additions & 13 deletions site/_posts/2018-11-19-r-spark-improvements.md
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Expand Up @@ -27,9 +27,9 @@ limitations under the License.
*[Javier Luraschi][1] is a software engineer at [RStudio][2]*

Support for Apache Arrow in Apache Spark with R is currently under active
development in the [sparklyr][3] project. This post explores early, yet
promising, performance improvements achieved when using R with [Apache
Spark][4] and Arrow.
development in the [sparklyr][3] and [sparkR][4] projects. This post explores early, yet
promising, performance improvements achieved when using R with [Apache Spark][5],
Arrow and `sparklyr`.

# Setup

Expand All @@ -41,8 +41,8 @@ devtools::install_github("apache/arrow", subdir = "r", ref = "apache-arrow-0.12.
devtools::install_github("rstudio/sparklyr", ref = "apache-arrow-0.12.0")
```

In this benchmark, we will use [dplyr][5], but similar improvements can
be expected from using [DBI][6], or [Spark DataFrames][7] in `sparklyr`.
In this benchmark, we will use [dplyr][6], but similar improvements can
be expected from using [DBI][7], or [Spark DataFrames][8] in `sparklyr`.
The local Spark connection and dataframe with 10M numeric rows was
initialized as follows:

Expand All @@ -68,7 +68,7 @@ Spark without having to serialize this data in R or persist in disk.
The following example copies 10M rows from R into Spark using `sparklyr`
with and without `arrow`, there is close to a 16x improvement using `arrow`.

This benchmark uses the [microbenchmark][8] R package, which runs code
This benchmark uses the [microbenchmark][9] R package, which runs code
multiple times, provides stats on total execution time and plots each
excecution time to understand the distribution over each iteration.

Expand Down Expand Up @@ -182,15 +182,17 @@ Unit: seconds
</div>

Additional benchmarks and fine-tuning parameters can be found under `sparklyr`
[/rstudio/sparklyr/pull/1611][9]. Looking forward to bringing this feature
[/rstudio/sparklyr/pull/1611][10] and `sparkR` [/apache/spark/pull/22954][11]. Looking forward to bringing this feature
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@felixcheung felixcheung Jan 25, 2019

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we usually use SparkR capitalization...

to the Spark, Arrow and R communities.

[1]: https://github.com/javierluraschi
[2]: https://rstudio.com
[3]: https://github.com/rstudio/sparklyr
[4]: https://spark.apache.org
[5]: https://dplyr.tidyverse.org
[6]: https://cran.r-project.org/package=DBI
[7]: https://spark.rstudio.com/reference/#section-spark-dataframes
[8]: https://CRAN.R-project.org/package=microbenchmark
[9]: https://github.com/rstudio/sparklyr/pull/1611
[4]: https://spark.apache.org/docs/latest/sparkr.html
[5]: https://spark.apache.org
[6]: https://dplyr.tidyverse.org
[7]: https://cran.r-project.org/package=DBI
[8]: https://spark.rstudio.com/reference/#section-spark-dataframes
[9]: https://CRAN.R-project.org/package=microbenchmark
[10]: https://github.com/rstudio/sparklyr/pull/1611
[11]: https://github.com/apache/spark/pull/22954
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@felixcheung felixcheung Jan 25, 2019

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thanks for linking this!