sparkr

SparkR window function

由 拜拜、爱过 提交于 2019-11-28 00:34:54
I found from JIRA that 1.6 release of SparkR has implemented window functions including lag and rank , but over function is not implemented yet. How can I use window function like lag function without over in SparkR (not the SparkSQL way)? Can someone provide an example? Spark 2.0.0+ SparkR provides DSL wrappers with over , window.partitionBy / partitionBy , window.orderBy / orderBy and rowsBetween / rangeBeteen functions. Spark <= 1.6 Unfortunately it is not possible in 1.6.0. While some window functions, including lag , have been implemented SparkR doesn't support window definitions yet

Empty output when reading a csv file into Rstudio using SparkR

由 淺唱寂寞╮ 提交于 2019-11-27 07:16:19
问题 I'm a new user of SparkR. I'm trying to load a csv file into R using SparkR. Sys.setenv(SPARK_HOME="/usr/local/bin/spark-1.5.1-bin-hadoop2.6") .libPaths(c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib"), .libPaths())) library(SparkR) sc <- sparkR.init(master="local", sparkPackages="com.databricks:spark-csv_2.11:1.0.3") sqlContext <- sparkRSQL.init(sc) I used a subset of nyc flights dataset just for testing. It only has 4 rows and 4 columns: gyear month day dep_time 2013 1 1 517 2013 1 1 533

SparkR window function

由 一世执手 提交于 2019-11-26 21:44:31
问题 I found from JIRA that 1.6 release of SparkR has implemented window functions including lag and rank , but over function is not implemented yet. How can I use window function like lag function without over in SparkR (not the SparkSQL way)? Can someone provide an example? 回答1: Spark 2.0.0+ SparkR provides DSL wrappers with over , window.partitionBy / partitionBy , window.orderBy / orderBy and rowsBetween / rangeBeteen functions. Spark <= 1.6 Unfortunately it is not possible in 1.6.0. While

Installing of SparkR

由 不羁的心 提交于 2019-11-26 18:41:39
I have the last version of R - 3.2.1. Now I want to install SparkR on R. After I execute: > install.packages("SparkR") I got back: Installing package into ‘/home/user/R/x86_64-pc-linux-gnu-library/3.2’ (as ‘lib’ is unspecified) Warning in install.packages : package ‘SparkR’ is not available (for R version 3.2.1) I have also installed Spark on my machine Spark 1.4.0 How I can solve this problem? zero323 You can install directly from a GitHub repository: if (!require('devtools')) install.packages('devtools') devtools::install_github('apache/spark@v2.x.x', subdir='R/pkg') You should choose tag (

Sparklyr: how to center a Spark table based on column?

由 流过昼夜 提交于 2019-11-26 06:49:16
问题 I have a Spark table: simx x0: num 1.00 2.00 3.00 ... x1: num 2.00 3.00 4.00 ... ... x788: num 2.00 3.00 4.00 ... and a handle named simX_tbl in the R environment that is connected to this simx table. I want to do a centering for this table, which is subtracting each column with its column means. For example, calculating x0 - mean(x0) , and so on. So far my best effort is: meanX <- simX_tbl %>% summarise_all(funs(\"mean\")) %>% collect() x_centered <- simX_tbl for(i in 1:789) { colName <-
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