| 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.
intersect since 1.4.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, arrange,
as.data.frame,
attach,SparkDataFrame-method,
cache, checkpoint,
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, hint,
histogram, insertInto,
isLocal, isStreaming,
join, limit,
merge, mutate,
ncol, nrow,
persist, printSchema,
randomSplit, rbind,
registerTempTable, rename,
repartition, sample,
saveAsTable, schema,
selectExpr, select,
showDF, show,
storageLevel, str,
subset, take,
toJSON, union,
unpersist, withColumn,
with, write.df,
write.jdbc, write.json,
write.orc, write.parquet,
write.stream, write.text
## Not run:
##D sparkR.session()
##D df1 <- read.json(path)
##D df2 <- read.json(path2)
##D intersectDF <- intersect(df, df2)
## End(Not run)