| 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)