| drop {SparkR} | R Documentation |
Returns a new SparkDataFrame with columns dropped. This is a no-op if schema doesn't contain column name(s).
drop(x, ...) ## S4 method for signature 'SparkDataFrame' drop(x, col)
x |
A SparkDataFrame. |
cols |
A character vector of column names or a Column. |
A SparkDataFrame
Other SparkDataFrame functions: SparkDataFrame-class,
[[, agg,
arrange, as.data.frame,
attach, cache,
collect, colnames,
coltypes, columns,
count, dapply,
describe, dim,
distinct, dropDuplicates,
dropna, 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 sqlCtx <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlCtx, path)
##D drop(df, "col1")
##D drop(df, c("col1", "col2"))
##D drop(df, df$col1)
## End(Not run)