| arrange {SparkR} | R Documentation |
Sort a SparkDataFrame by the specified column(s).
arrange(x, col, ...) ## 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, ...)
x |
a SparkDataFrame to be sorted. |
col |
a character or Column object 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 |
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, as.data.frame,
attach,SparkDataFrame-method,
cache, checkpoint,
coalesce, collect,
colnames, coltypes,
createOrReplaceTempView,
crossJoin, dapplyCollect,
dapply, describe,
dim, distinct,
dropDuplicates, dropna,
drop, dtypes,
except, 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 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))
## End(Not run)