except {SparkR}R Documentation

except

Description

Return a new SparkDataFrame containing rows in this SparkDataFrame but not in another SparkDataFrame. This is equivalent to EXCEPT DISTINCT in SQL.

Usage

except(x, y)

## S4 method for signature 'SparkDataFrame,SparkDataFrame'
except(x, y)

Arguments

x

a SparkDataFrame.

y

a SparkDataFrame.

Value

A SparkDataFrame containing the result of the except operation.

Note

except since 1.4.0

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, 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, rbind, rename, repartitionByRange, repartition, rollup, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, summary, take, toJSON, unionAll, unionByName, union, unpersist, withColumn, withWatermark, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.stream, write.text

Examples

## Not run: 
##D sparkR.session()
##D df1 <- read.json(path)
##D df2 <- read.json(path2)
##D exceptDF <- except(df, df2)
## End(Not run)

[Package SparkR version 3.0.0 Index]