| dropDuplicates {SparkR} | R Documentation |
Returns a new SparkDataFrame with duplicate rows removed, considering only the subset of columns.
dropDuplicates(x, ...) ## S4 method for signature 'SparkDataFrame' dropDuplicates(x, ...)
x |
A SparkDataFrame. |
... |
A character vector of column names or string column names. If the first argument contains a character vector, the followings are ignored. |
A SparkDataFrame with duplicate rows removed.
dropDuplicates since 2.0.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, arrange,
as.data.frame, attach,
cache, coalesce,
collect, colnames,
coltypes,
createOrReplaceTempView,
crossJoin, dapplyCollect,
dapply, describe,
dim, distinct,
dropna, drop,
dtypes, except,
explain, filter,
first, gapplyCollect,
gapply, getNumPartitions,
group_by, head,
histogram, insertInto,
intersect, isLocal,
join, limit,
merge, mutate,
ncol, nrow,
persist, printSchema,
randomSplit, rbind,
registerTempTable, rename,
repartition, sample,
saveAsTable, schema,
selectExpr, select,
showDF, show,
storageLevel, str,
subset, take,
union, unpersist,
withColumn, with,
write.df, write.jdbc,
write.json, write.orc,
write.parquet, write.text
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D dropDuplicates(df)
##D dropDuplicates(df, "col1", "col2")
##D dropDuplicates(df, c("col1", "col2"))
## End(Not run)