| colnames {SparkR} | R Documentation |
Return all column names as a list
colnames(x, do.NULL = TRUE, prefix = "col") colnames(x) <- value ## S4 method for signature 'SparkDataFrame' columns(x) ## S4 method for signature 'SparkDataFrame' names(x) ## S4 replacement method for signature 'SparkDataFrame' names(x) <- value ## S4 method for signature 'SparkDataFrame' colnames(x) ## S4 replacement method for signature 'SparkDataFrame' colnames(x) <- value
x |
A SparkDataFrame |
Other SparkDataFrame functions: SparkDataFrame-class,
[[, agg,
arrange, as.data.frame,
attach, cache,
collect, coltypes,
columns, count,
dapply, describe,
dim, distinct,
dropDuplicates, dropna,
drop, dtypes,
except, explain,
filter, first,
group_by, head,
histogram, insertInto,
intersect, isLocal,
join, limit,
merge, mutate,
ncol, persist,
printSchema,
registerTempTable, rename,
repartition, sample,
saveAsTable, selectExpr,
select, showDF,
show, str,
take, unionAll,
unpersist, withColumn,
write.df, write.jdbc,
write.json, write.parquet,
write.text
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D columns(df)
##D colnames(df)
## End(Not run)