SparkR (version 2.3.0)

except: 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 SparkDataFrame,SparkDataFrame
except(x, y)

Arguments

x

a SparkDataFrame.

y

a SparkDataFrame.

Value

A SparkDataFrame containing the result of the except operation.

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, 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, registerTempTable, rename, 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

Examples

# NOT RUN {
sparkR.session()
df1 <- read.json(path)
df2 <- read.json(path2)
exceptDF <- except(df, df2)
# }