rbind {SparkR} | R Documentation |
Union two or more SparkDataFrames by row. As in R's rbind
, this method
requires that the input SparkDataFrames have the same column names.
rbind(..., deparse.level = 1) ## S4 method for signature 'SparkDataFrame' rbind(x, ..., deparse.level = 1)
... |
additional SparkDataFrame(s). |
deparse.level |
currently not used (put here to match the signature of the base implementation). |
x |
a SparkDataFrame. |
Note: This does not remove duplicate rows across the two SparkDataFrames.
A SparkDataFrame containing the result of the union.
rbind since 1.5.0
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
, drop
,
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
,
rename
, repartitionByRange
,
repartition
, rollup
,
sample
, saveAsTable
,
schema
, selectExpr
,
select
, showDF
,
show
, storageLevel
,
str
, subset
,
summary
, take
,
toJSON
, unionAll
,
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 unions <- rbind(df, df2, df3, df4)
## End(Not run)