| isStreaming {SparkR} | R Documentation |
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.
isStreaming(x) ## S4 method for signature 'SparkDataFrame' isStreaming(x)
x |
A SparkDataFrame |
TRUE if this SparkDataFrame is from a streaming source
isStreaming since 2.2.0
experimental
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
## Not run:
##D sparkR.session()
##D df <- read.stream("socket", host = "localhost", port = 9999)
##D isStreaming(df)
## End(Not run)