| union {SparkR} | R Documentation |
Return a new SparkDataFrame containing the union of rows in this SparkDataFrame
and another SparkDataFrame. This is equivalent to UNION ALL in SQL.
unionAll is deprecated - use union instead
union(x, y) unionAll(x, y) ## S4 method for signature 'SparkDataFrame,SparkDataFrame' union(x, y) ## S4 method for signature 'SparkDataFrame,SparkDataFrame' unionAll(x, y)
x |
A SparkDataFrame |
y |
A SparkDataFrame |
Note: This does not remove duplicate rows across the two SparkDataFrames.
A SparkDataFrame containing the result of the union.
union since 2.0.0
unionAll since 1.4.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, arrange,
as.data.frame, attach,
cache, coalesce,
collect, colnames,
coltypes,
createOrReplaceTempView,
crossJoin, dapplyCollect,
dapply, describe,
dim, distinct,
dropDuplicates, dropna,
drop, dtypes,
except, explain,
filter, first,
gapplyCollect, gapply,
getNumPartitions, group_by,
head, histogram,
insertInto, intersect,
isLocal, join,
limit, merge,
mutate, ncol,
nrow, persist,
printSchema, randomSplit,
rbind, registerTempTable,
rename, repartition,
sample, saveAsTable,
schema, selectExpr,
select, showDF,
show, storageLevel,
str, subset,
take, unpersist,
withColumn, with,
write.df, write.jdbc,
write.json, write.orc,
write.parquet, write.text
## Not run:
##D sparkR.session()
##D df1 <- read.json(path)
##D df2 <- read.json(path2)
##D unioned <- union(df, df2)
##D unions <- rbind(df, df2, df3, df4)
## End(Not run)