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SparkR (version 2.1.2)

dim: Returns the dimensions of SparkDataFrame

Description

Returns the dimensions (number of rows and columns) of a SparkDataFrame

Usage

# S4 method for SparkDataFrame
dim(x)

Arguments

x

a SparkDataFrame

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg, arrange, as.data.frame, attach, cache, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, dapplyCollect, dapply, describe, 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

Examples

Run this code
# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
dim(df)
# }

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