Compactly display the structure of a dataset

Description

Display the structure of a SparkDataFrame, including column names, column types, as well as a a small sample of rows.

Usage

## S4 method for signature 'SparkDataFrame'
str(object)

Arguments

See Also

Other SparkDataFrame functions: SparkDataFrame-class, [[, agg, arrange, as.data.frame, attach, cache, collect, colnames, coltypes, columns, count, dapply, describe, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, explain, filter, first, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, persist, printSchema, registerTempTable, rename, repartition, sample, saveAsTable, selectExpr, select, showDF, show, take, unionAll, unpersist, withColumn, write.df, write.jdbc, write.json, write.parquet, write.text

Examples

## Not run: 
##D # Create a SparkDataFrame from the Iris dataset
##D irisDF <- createDataFrame(sqlContext, iris)
##D 
##D # Show the structure of the SparkDataFrame
##D str(irisDF)
## End(Not run)