SparkR (version 2.3.0)

selectExpr: SelectExpr

Description

Select from a SparkDataFrame using a set of SQL expressions.

Usage

selectExpr(x, expr, ...)
# S4 method for SparkDataFrame,character
selectExpr(x, expr, ...)

Arguments

x

A SparkDataFrame to be selected from.

expr

A string containing a SQL expression

...

Additional expressions

Value

A SparkDataFrame

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg, alias, arrange, 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, 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

Examples

# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
selectExpr(df, "col1", "(col2 * 5) as newCol")
# }