arrange {SparkR} | R Documentation |
Sort a SparkDataFrame by the specified column(s).
arrange(x, col, ...) ## S4 method for signature 'SparkDataFrame,Column' arrange(x, col, ..., withinPartitions = FALSE) ## S4 method for signature 'SparkDataFrame,character' arrange(x, col, ..., decreasing = FALSE, withinPartitions = FALSE) ## S4 method for signature 'SparkDataFrame,characterOrColumn' orderBy(x, col, ...)
x |
a SparkDataFrame to be sorted. |
col |
a character or Column object indicating the fields to sort on |
... |
additional sorting fields |
withinPartitions |
a logical argument indicating whether to sort only within each partition |
decreasing |
a logical argument indicating sorting order for columns when a character vector is specified for col |
A SparkDataFrame where all elements are sorted.
arrange(SparkDataFrame, Column) since 1.4.0
arrange(SparkDataFrame, character) since 1.4.0
orderBy(SparkDataFrame, characterOrColumn) since 1.4.0
Other SparkDataFrame functions: SparkDataFrame-class
,
agg
, alias
,
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
,
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
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D arrange(df, df$col1)
##D arrange(df, asc(df$col1), desc(abs(df$col2)))
##D arrange(df, "col1", decreasing = TRUE)
##D arrange(df, "col1", "col2", decreasing = c(TRUE, FALSE))
##D arrange(df, "col1", "col2", withinPartitions = TRUE)
## End(Not run)