except {SparkR} | R Documentation |
Return a new SparkDataFrame containing rows in this SparkDataFrame
but not in another SparkDataFrame. This is equivalent to EXCEPT
in SQL.
except(x, y) ## S4 method for signature 'SparkDataFrame,SparkDataFrame' except(x, y)
x |
a SparkDataFrame. |
y |
a SparkDataFrame. |
A SparkDataFrame containing the result of the except operation.
except 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
,
explain
, filter
,
first
, gapplyCollect
,
gapply
, getNumPartitions
,
group_by
, head
,
hint
, histogram
,
insertInto
, intersect
,
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 exceptDF <- except(df, df2)
## End(Not run)