# saveAsObjectFiles(prefix, \[suffix])

### saveAsObjectFiles(prefix, \[suffix])

Save this DStream's contents as SequenceFiles of serialized Java objects. The file name at each batch interval is generated based on prefix and suffix:

"prefix-TIME\_IN\_MS\[.suffix]".

Python API This is not available in the Python API.

Example:

```
import org.apache.spark._
import org.apache.spark.SparkContext._
import org.apache.spark.streaming._
import org.apache.spark.streaming.StreamingContext._
import org.apache.log4j.{Level, Logger}
import org.apache.spark.sql.{Row, SaveMode, SparkSession}
import org.apache.spark.sql.SQLContext

Logger.getLogger("org").setLevel(Level.ERROR)  
val spark = SparkSession
          .builder()
          .config("spark.master", "local[2]")
          .appName("streaming for book")
          .getOrCreate()

spark.sparkContext.setCheckpointDir("/tmp/")

import spark.implicits._
val sc=spark.sparkContext
val ssc = new StreamingContext(sc, Seconds(1))


val messages1 = ssc.textFileStream("/tmp/filestream1/")
val messages2 = ssc.textFileStream("/tmp/filestream2/")
val messages11=messages1.filter(_.nonEmpty).map(x=>(x,x))
val messages22=messages2.filter(_.nonEmpty).map(x=>(x,x))
val messages4=messages11.join(messages22)

messages4.print()
messages4.saveAsObjectFiles("/tmp/stream-TIME_IN_MS.obj")

ssc.start()
ssc.awaitTermination()

/*

in /tmp/

drwxrwxr-x   2 dv6  dv6   4096 Mar  7 23:05 stream-TIME_IN_MS.obj-1583651108000
drwxrwxr-x   2 dv6  dv6   4096 Mar  7 23:05 stream-TIME_IN_MS.obj-1583651109000
drwxrwxr-x   2 dv6  dv6   4096 Mar  7 23:05 stream-TIME_IN_MS.obj-1583651110000
drwxrwxr-x   2 dv6  dv6   4096 Mar  7 23:05 stream-TIME_IN_MS.obj-1583651111000
drwxrwxr-x   2 dv6  dv6   4096 Mar  7 23:05 stream-TIME_IN_MS.obj-1583651112000
drwxrwxr-x   2 dv6  dv6   4096 Mar  7 23:05 stream-TIME_IN_MS.obj-1583651113000
...

*/

```


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