arrange {SparkR} | R Documentation |
Sort a SparkDataFrame by the specified column(s).
Defines the ordering columns in a WindowSpec.
## S4 method for signature 'SparkDataFrame,Column' arrange(x, col, ...) ## S4 method for signature 'SparkDataFrame,character' arrange(x, col, ..., decreasing = FALSE) ## S4 method for signature 'SparkDataFrame,characterOrColumn' orderBy(x, col, ...) ## S4 method for signature 'WindowSpec,character' orderBy(x, col, ...) ## S4 method for signature 'WindowSpec,Column' orderBy(x, col, ...) arrange(x, col, ...) orderBy(x, col, ...)
x |
A SparkDataFrame to be sorted. |
col |
A character or Column object vector indicating the fields to sort on |
... |
Additional sorting fields |
decreasing |
A logical argument indicating sorting order for columns when a character vector is specified for col |
x |
a WindowSpec |
A SparkDataFrame where all elements are sorted.
a WindowSpec
Other SparkDataFrame functions: $
,
$<-
, select
,
select
,
select,SparkDataFrame,Column-method
,
select,SparkDataFrame,list-method
,
selectExpr
;
SparkDataFrame-class
,
dataFrame
; [
,
[[
, subset
;
agg
, agg
,
count,GroupedData-method
,
summarize
, summarize
;
as.data.frame
,
as.data.frame,SparkDataFrame-method
;
attach
,
attach,SparkDataFrame-method
;
cache
; collect
;
colnames
, colnames
,
colnames<-
, colnames<-
,
columns
, names
,
names<-
; coltypes
,
coltypes
, coltypes<-
,
coltypes<-
; columns
,
dtypes
, printSchema
,
schema
, schema
;
count
, nrow
;
dapply
, dapply
,
dapplyCollect
, dapplyCollect
;
describe
, describe
,
describe
, summary
,
summary
,
summary,AFTSurvivalRegressionModel-method
,
summary,GeneralizedLinearRegressionModel-method
,
summary,KMeansModel-method
,
summary,NaiveBayesModel-method
;
dim
; distinct
,
unique
; dropDuplicates
,
dropDuplicates
; dropna
,
dropna
, fillna
,
fillna
, na.omit
,
na.omit
; drop
,
drop
; dtypes
;
except
, except
;
explain
, explain
;
filter
, filter
,
where
, where
;
first
, first
;
groupBy
, groupBy
,
group_by
, group_by
;
head
; histogram
;
insertInto
, insertInto
;
intersect
, intersect
;
isLocal
, isLocal
;
join
; limit
,
limit
; merge
,
merge
; mutate
,
mutate
, transform
,
transform
; ncol
;
persist
; printSchema
;
rbind
, rbind
,
unionAll
, unionAll
;
registerTempTable
,
registerTempTable
; rename
,
rename
, withColumnRenamed
,
withColumnRenamed
;
repartition
; sample
,
sample
, sample_frac
,
sample_frac
;
saveAsParquetFile
,
saveAsParquetFile
,
write.parquet
, write.parquet
;
saveAsTable
, saveAsTable
;
saveDF
, saveDF
,
write.df
, write.df
,
write.df
; selectExpr
;
showDF
, showDF
;
show
, show
,
show,GroupedData-method
,
show,WindowSpec-method
; str
;
take
; unpersist
;
withColumn
, withColumn
;
write.jdbc
, write.jdbc
;
write.json
, write.json
;
write.text
, write.text
Other windowspec_method: partitionBy
,
partitionBy
; rangeBetween
,
rangeBetween
; rowsBetween
,
rowsBetween
## Not run: sc <- sparkR.init() sqlContext <- sparkRSQL.init(sc) path <- "path/to/file.json" df <- read.json(sqlContext, path) arrange(df, df$col1) arrange(df, asc(df$col1), desc(abs(df$col2))) arrange(df, "col1", decreasing = TRUE) arrange(df, "col1", "col2", decreasing = c(TRUE, FALSE)) ## End(Not run) ## Not run: orderBy(ws, "col1", "col2") orderBy(ws, df$col1, df$col2) ## End(Not run)