| 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, except,
explain, filter,
first, gapplyCollect,
gapply, getNumPartitions,
group_by, head,
hint, histogram,
insertInto, intersect,
isLocal, isStreaming,
join, limit,
localCheckpoint, merge,
mutate, ncol,
nrow, persist,
printSchema, randomSplit,
rbind, registerTempTable,
rename, repartition,
rollup, sample,
saveAsTable, schema,
selectExpr, select,
showDF, show,
storageLevel, str,
subset, summary,
take, toJSON,
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)