[
https://issues.apache.org/jira/browse/SPARK-8340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
nevi_me updated SPARK-8340:
---------------------------
Description:
I tried executing the following code:
{code:title="extract from dataframe.R in examples"}
library(SparkR)
sc <- sparkR.init(appName="SparkR-DataFrame-example")
sqlContext <- sparkRSQL.init(sc)
localDF <- data.frame(name=c("John", "Smith", "Sarah"), age=c(19, 23, 18))
df <- createDataFrame(sqlContext, localDF)
{code}
I get the error:
{code:title="error"}
Error in writeJobj(con, object) : invalid jobj 2
{code}
I also tried creating dataframes out of existing data.frames in my project, but
I get the same error.
was:
I tried executing the following code:
{code:R|title="extract from dataframe.R in examples"}
library(SparkR)
sc <- sparkR.init(appName="SparkR-DataFrame-example")
sqlContext <- sparkRSQL.init(sc)
localDF <- data.frame(name=c("John", "Smith", "Sarah"), age=c(19, 23, 18))
df <- createDataFrame(sqlContext, localDF)
{code}
I get the error:
{code:title="error"}
Error in writeJobj(con, object) : invalid jobj 2
{code}
I also tried creating dataframes out of existing data.frames in my project, but
I get the same error.
> Error creating sparkR dataframe: Error in writeJobj(ocn, object): invalid
> jobj 2
> --------------------------------------------------------------------------------
>
> Key: SPARK-8340
> URL: https://issues.apache.org/jira/browse/SPARK-8340
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 1.4.0
> Environment: Windows 8.1, RRO R 3.2.0
> Reporter: nevi_me
>
> I tried executing the following code:
> {code:title="extract from dataframe.R in examples"}
> library(SparkR)
> sc <- sparkR.init(appName="SparkR-DataFrame-example")
> sqlContext <- sparkRSQL.init(sc)
> localDF <- data.frame(name=c("John", "Smith", "Sarah"), age=c(19, 23, 18))
> df <- createDataFrame(sqlContext, localDF)
> {code}
> I get the error:
> {code:title="error"}
> Error in writeJobj(con, object) : invalid jobj 2
> {code}
> I also tried creating dataframes out of existing data.frames in my project,
> but I get the same error.
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