filter {SparkR}R Documentation



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


filter(x, condition)

where(x, condition)

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

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



A SparkDataFrame to be sorted.


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


A SparkDataFrame containing only the rows that meet the condition.


filter since 1.4.0

where since 1.4.0

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(),, attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), colnames(), coltypes(), createOrReplaceTempView(), crossJoin(), cube(), dapplyCollect(), dapply(), describe(), dim(), distinct(), dropDuplicates(), dropna(), drop(), dtypes(), exceptAll(), except(), explain(), first(), gapplyCollect(), gapply(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersectAll(), intersect(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartitionByRange(), repartition(), rollup(), sample(), saveAsTable(), schema(), selectExpr(), 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.text()

Other subsetting functions: select(), subset()


## Not run: 
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D filter(df, "col1 > 0")
##D filter(df, df$col2 != "abcdefg")
## End(Not run)

[Package SparkR version 2.4.7 Index]