SparkR (version 2.4.6)

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(), exceptAll(), except(), explain(), filter(), first(), gapplyCollect(), gapply(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersectAll(), intersect(), isLocal(), 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.stream(), write.text()

Examples

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