| 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) ## S4 method for signature 'ANY' drop(x)
x |
a SparkDataFrame. |
... |
further arguments to be passed to or from other methods. |
col |
a character vector of column names or a Column. |
A SparkDataFrame.
drop since 2.0.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, alias,
arrange, as.data.frame,
attach,SparkDataFrame-method,
broadcast, cache,
checkpoint, coalesce,
collect, colnames,
coltypes,
createOrReplaceTempView,
crossJoin, cube,
dapplyCollect, dapply,
describe, dim,
distinct, dropDuplicates,
dropna, dtypes,
exceptAll, except,
explain, filter,
first, gapplyCollect,
gapply, getNumPartitions,
group_by, head,
hint, histogram,
insertInto, intersectAll,
intersect, isLocal,
isStreaming, join,
limit, localCheckpoint,
merge, mutate,
ncol, nrow,
persist, printSchema,
randomSplit, rbind,
rename, repartitionByRange,
repartition, rollup,
sample, saveAsTable,
schema, selectExpr,
select, showDF,
show, storageLevel,
str, subset,
summary, take,
toJSON, unionByName,
union, unpersist,
withColumn, withWatermark,
with, write.df,
write.jdbc, write.json,
write.orc, write.parquet,
write.stream, write.text
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D drop(df, "col1")
##D drop(df, c("col1", "col2"))
##D drop(df, df$col1)
## End(Not run)