SparkR (version 2.1.2)

filter: Filter

Description

Filter the rows of a SparkDataFrame according to a given condition.

Usage

filter(x, condition)
where(x, condition)
# S4 method for SparkDataFrame,characterOrColumn
filter(x, condition)
# S4 method for SparkDataFrame,characterOrColumn
where(x, condition)

Arguments

x

A SparkDataFrame to be sorted.

condition

The condition to filter on. This may either be a Column expression or a string containing a SQL statement

Value

A SparkDataFrame containing only the rows that meet the condition.

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, 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

Other subsetting functions: select, subset

Examples

# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
filter(df, "col1 > 0")
filter(df, df$col2 != "abcdefg")
# }

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