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, except, explain, 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, 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 2.3.0 Index]