Sort a SparkDataFrame by the specified column(s).
arrange(x, col, ...)# S4 method for SparkDataFrame,Column
arrange(x, col, ...)
# S4 method for SparkDataFrame,character
arrange(x, col, ..., decreasing = FALSE)
# S4 method for SparkDataFrame,characterOrColumn
orderBy(x, col, ...)
a SparkDataFrame to be sorted.
a character or Column object indicating the fields to sort on
additional sorting fields
a logical argument indicating sorting order for columns when a character vector is specified for col
A SparkDataFrame where all elements are sorted.
Other SparkDataFrame functions: SparkDataFrame-class,
agg, as.data.frame,
attach, cache,
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, 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 {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(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))
# }
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