intersectAll

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intersectAll

Return a new SparkDataFrame containing rows in both this SparkDataFrame and another SparkDataFrame while preserving the duplicates. This is equivalent to INTERSECT ALL in SQL. Also as standard in SQL, this function resolves columns by position (not by name).

Usage
intersectAll(x, y)

# S4 method for SparkDataFrame,SparkDataFrame intersectAll(x, y)

Arguments
x

a SparkDataFrame.

y

a SparkDataFrame.

Value

A SparkDataFrame containing the result of the intersect all operation.

Note

intersectAll since 2.4.0

See Also

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(), intersect(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), 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()

Aliases
  • intersectAll
  • intersectAll,SparkDataFrame,SparkDataFrame-method
Examples
# NOT RUN {
sparkR.session()
df1 <- read.json(path)
df2 <- read.json(path2)
intersectAllDF <- intersectAll(df1, df2)
# }
Documentation reproduced from package SparkR, version 2.4.6, License: Apache License (== 2.0)

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