isStreaming

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 class 'SparkDataFrame'
isStreaming(x)

Arguments

x

A SparkDataFrame

Value

TRUE if this SparkDataFrame is from a streaming source

Note

isStreaming since 2.2.0

experimental

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(), dapply(), dapplyCollect(), describe(), dim(), distinct(), drop(), dropDuplicates(), dropna(), dtypes(), except(), exceptAll(), explain(), filter(), first(), gapply(), gapplyCollect(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersect(), intersectAll(), isLocal(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartition(), repartitionByRange(), rollup(), sample(), saveAsTable(), schema(), select(), selectExpr(), show(), showDF(), storageLevel(), str(), subset(), summary(), take(), toJSON(), union(), unionAll(), unionByName(), unpersist(), unpivot(), with(), withColumn(), withWatermark(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

if (FALSE) { # \dontrun{
sparkR.session()
df <- read.stream("socket", host = "localhost", port = 9999)
isStreaming(df)
} # }