SparkR (version 2.3.0)

isStreaming: isStreaming

Description

Returns TRUE if this SparkDataFrame contains one or more sources that continuously return data as it arrives. A dataset that reads data from a streaming source must be executed as a StreamingQuery using write.stream.

Usage

isStreaming(x)
# S4 method for SparkDataFrame
isStreaming(x)

Arguments

x

A SparkDataFrame

Value

TRUE if this SparkDataFrame is from a streaming source

See Also

read.stream write.stream

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, 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.stream, write.text

Examples

# NOT RUN {
sparkR.session()
df <- read.stream("socket", host = "localhost", port = 9999)
isStreaming(df)
# }