use of com.amazonaws.services.kinesis.model.ResourceInUseException in project flink by apache.
the class KinesisProxy method listShards.
/**
* Get metainfo for a Kinesis stream, which contains information about which shards this Kinesis
* stream possess.
*
* <p>This method is using a "full jitter" approach described in AWS's article, <a
* href="https://www.awsarchitectureblog.com/2015/03/backoff.html">"Exponential Backoff and
* Jitter"</a>. This is necessary because concurrent calls will be made by all parallel
* subtask's fetcher. This jitter backoff approach will help distribute calls across the
* fetchers over time.
*
* @param streamName the stream to describe
* @param startShardId which shard to start with for this describe operation (earlier shard's
* infos will not appear in result)
* @return the result of the describe stream operation
*/
private ListShardsResult listShards(String streamName, @Nullable String startShardId, @Nullable String startNextToken) throws InterruptedException {
final ListShardsRequest listShardsRequest = new ListShardsRequest();
if (startNextToken == null) {
listShardsRequest.setExclusiveStartShardId(startShardId);
listShardsRequest.setStreamName(streamName);
} else {
// Note the nextToken returned by AWS expires within 300 sec.
listShardsRequest.setNextToken(startNextToken);
}
ListShardsResult listShardsResults = null;
// Call ListShards, with full-jitter backoff (if we get LimitExceededException).
int retryCount = 0;
// are taken up.
while (retryCount <= listShardsMaxRetries && listShardsResults == null) {
// retry until we get a result
try {
listShardsResults = kinesisClient.listShards(listShardsRequest);
} catch (LimitExceededException le) {
long backoffMillis = BACKOFF.calculateFullJitterBackoff(listShardsBaseBackoffMillis, listShardsMaxBackoffMillis, listShardsExpConstant, retryCount++);
LOG.warn("Got LimitExceededException when listing shards from stream " + streamName + ". Backing off for " + backoffMillis + " millis.");
BACKOFF.sleep(backoffMillis);
} catch (ResourceInUseException reInUse) {
if (LOG.isWarnEnabled()) {
// List Shards will throw an exception if stream in not in active state. Return
// and re-use previous state available.
LOG.info("The stream is currently not in active state. Reusing the older state " + "for the time being");
break;
}
} catch (ResourceNotFoundException reNotFound) {
throw new RuntimeException("Stream not found. Error while getting shard list.", reNotFound);
} catch (InvalidArgumentException inArg) {
throw new RuntimeException("Invalid Arguments to listShards.", inArg);
} catch (ExpiredNextTokenException expiredToken) {
LOG.warn("List Shards has an expired token. Reusing the previous state.");
break;
} catch (SdkClientException ex) {
if (retryCount < listShardsMaxRetries && isRecoverableSdkClientException(ex)) {
long backoffMillis = BACKOFF.calculateFullJitterBackoff(listShardsBaseBackoffMillis, listShardsMaxBackoffMillis, listShardsExpConstant, retryCount++);
LOG.warn("Got SdkClientException when listing shards from stream {}. Backing off for {} millis.", streamName, backoffMillis);
BACKOFF.sleep(backoffMillis);
} else {
// (otherwise would return null result and keep trying forever)
throw ex;
}
}
}
// https://github.com/lyft/kinesalite/pull/4
if (startShardId != null && listShardsResults != null) {
List<Shard> shards = listShardsResults.getShards();
shards.removeIf(shard -> StreamShardHandle.compareShardIds(shard.getShardId(), startShardId) <= 0);
}
return listShardsResults;
}
use of com.amazonaws.services.kinesis.model.ResourceInUseException in project apex-malhar by apache.
the class KinesisOperatorTestBase method beforeTest.
@Before
public void beforeTest() {
CreateStreamRequest streamRequest = null;
createClient();
for (int i = 0; i < 100; ++i) {
try {
streamName = streamNamePrefix + i;
streamRequest = new CreateStreamRequest();
streamRequest.setStreamName(streamName);
streamRequest.setShardCount(shardCount);
client.createStream(streamRequest);
logger.info("created stream {}.", streamName);
Thread.sleep(30000);
break;
} catch (ResourceInUseException riue) {
logger.warn("Resource is in use.", riue.getMessage());
} catch (Exception e) {
logger.error("Got exception.", e);
throw new RuntimeException(e);
}
}
}
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