| intersect {SparkR} | R Documentation |
Return a new SparkDataFrame containing rows only in both this SparkDataFrame and another SparkDataFrame. This is equivalent to 'INTERSECT' in SQL.
intersect(x, y) ## S4 method for signature 'SparkDataFrame,SparkDataFrame' intersect(x, y)
x |
A SparkDataFrame |
y |
A SparkDataFrame |
A SparkDataFrame containing the result of the intersect.
Other SparkDataFrame functions: SparkDataFrame-class,
[[, agg,
arrange, as.data.frame,
attach, cache,
collect, colnames,
coltypes, columns,
count, dapply,
describe, dim,
distinct, dropDuplicates,
dropna, drop,
dtypes, except,
explain, filter,
first, group_by,
head, histogram,
insertInto, 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 sqlContext <- sparkRSQL.init(sc)
##D df1 <- read.json(sqlContext, path)
##D df2 <- read.json(sqlContext, path2)
##D intersectDF <- intersect(df, df2)
## End(Not run)