Try this piece of code:
System.setProperty("AWS_ACCESS_KEY_ID", "access_key")
System.setProperty("AWS_SECRET_KEY", "secret") val streamName =
"mystream" val endpointUrl =
"https://kinesis.us-east-1.amazonaws.com/"; val kinesisClient =
new AmazonKinesisClient(new DefaultAWSCredentialsProviderChain())
kinesisClient.setEndpoint(endpointUrl) val numShards =
kinesisClient.describeStream(streamName).getStreamDescription().getShards()
.size() val numStreams = numShards val
kinesisCheckpointInterval = Seconds(10) val kinesisStreams = (0
until 10).map { i => KinesisUtils.createStream(ssc, streamName,
endpointUrl, kinesisCheckpointInterval,
InitialPositionInStream.LATEST, StorageLevel.MEMORY_AND_DISK_2) }
/* Union all the streams */ val unionStreams =
ssc.union(kinesisStreams)
unionStreams.print()
Thanks
Best Regards
On Tue, Jan 20, 2015 at 12:51 PM, Hafiz Mujadid <hafizmujadi...@gmail.com>
wrote:
> Hi all!
>
> I am trying to use kinesis and spark streaming together. So when I execute
> program I get exception com.amazonaws.AmazonClientException: Unable to load
> AWS credentials from any provider in the chain
>
>
> Here is my piece of code
>
> val credentials = new
> BasicAWSCredentials(KinesisProperties.AWS_ACCESS_KEY_ID,
> KinesisProperties.AWS_SECRET_KEY)
>
> var kinesisClient: AmazonKinesisClient = new
> AmazonKinesisClient(credentials)
>
>
> kinesisClient.setEndpoint(KinesisProperties.KINESIS_ENDPOINT_URL,
> KinesisProperties.KINESIS_SERVICE_NAME,
> KinesisProperties.KINESIS_REGION_ID)
> System.setProperty("aws.accessKeyId",
> KinesisProperties.AWS_ACCESS_KEY_ID)
> System.setProperty("aws.secretKey",
> KinesisProperties.AWS_SECRET_KEY)
> System.setProperty("AWS_ACCESS_KEY_ID",
> KinesisProperties.AWS_ACCESS_KEY_ID)
> System.setProperty("AWS_SECRET_KEY",
> KinesisProperties.AWS_SECRET_KEY)
> val numShards =
> kinesisClient.describeStream(KinesisProperties.MY_STREAM_NAME)
> .getStreamDescription().getShards().size()
> val numStreams = numShards
> val ssc = StreamingHelper.getStreamingInstance(new
> Duration(KinesisProperties.KINESIS_CHECKPOINT_INTERVAL))
> ssc.addStreamingListener(new MyStreamListener)
> val kinesisStreams = (0 until numStreams).map { i =>
> KinesisUtils.createStream(ssc,
> KinesisProperties.MY_STREAM_NAME,
> KinesisProperties.KINESIS_ENDPOINT_URL,
> new
> Duration(KinesisProperties.KINESIS_CHECKPOINT_INTERVAL),
> InitialPositionInStream.TRIM_HORIZON,
> StorageLevel.MEMORY_AND_DISK_2)
> }
> /* Union all the streams */
> val unionStreams = ssc.union(kinesisStreams)
> val tmp_stream = unionStreams.map(byteArray => new
> String(byteArray))
> val
> data=tmp_stream.window(Seconds(KinesisProperties.WINDOW_INTERVAL ),
> Seconds(KinesisProperties.SLIDING_INTERVAL))
> data.foreachRDD((rdd: RDD[String], time: Time) => {
> if (rdd.take(1).size == 1) {
> rdd.saveAsTextFile(KinesisProperties.Sink
> + time.milliseconds)
> }
> })
> ssc.start()
> ssc.awaitTermination()
>
>
>
> Any suggestion?
>
>
>
> --
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