[英]How to import Large Datasets in Revolution R Enterprise or R Studio?
I'm currently using Revolution R Enterprise Version 7.5 .我目前使用的是Revolution R Enterprise 版本 7.5 。
I am trying to import a dataset from Excel into RRE .我正在尝试将数据集从Excel 导入 RRE 。 Here is my code:
这是我的代码:
library("dplyr")
library("XLConnectJars")
library("XLConnect")
dataset1 <- readWorksheetFromFile(file.choose(), sheet=1, startRow=1, Header=T)
When I try to execute this block of code, this is the error I get:当我尝试执行这段代码时,这是我得到的错误:
Error: OutOfMemoryError (Java): GC overhead limit exceeded
Is there anyway to get large amounts of data into Revolution R Enterprise ?有没有办法将大量数据导入Revolution R Enterprise ? Maybe some RevoScaleR library function that I can use?
也许我可以使用一些RevoScaleR库函数?
Even help in R Studio will do.甚至R Studio 中的帮助也可以。
Although I haven't used this particular package ( XLConnect
), the error you are getting is because it imports rJava
.虽然我没有使用过这个特定的包 (
XLConnect
),但你得到的错误是因为它导入了rJava
。 You need to change the allocated Java heap size using the following command:您需要使用以下命令更改分配的 Java 堆大小:
options(java.parameters="-Xmx4g")
That will change it from the default of 512MB to 4GB;这会将其从默认的 512MB 更改为 4GB; you can choose a different value if you like.
如果您愿意,您可以选择不同的值。
You need to run that command BEFORE you load the libraries.您需要在加载库之前运行该命令。 If I were you, I would restart your R session, run that command, and then proceed.
如果我是你,我会重新启动你的 R 会话,运行该命令,然后继续。
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