| 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, 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)