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SparkR (version 2.1.2)

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, arrange, 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, 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)
selectExpr(df, "col1", "(col2 * 5) as newCol")
# }

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