我正在尝试构建一个简单的应用程序,从AWS Kinesis读取数据。我已经成功使用单个分片读取数据,但是我想从4个不同的分片获取数据。
问题在于,我有一个while循环,只要分片处于活动状态,就会迭代,这会阻止我从不同的分片读取数据。到目前为止,我无法找到替代算法,也无法实现基于KCL的解决方案。非常感谢您的帮助。
问题在于,我有一个while循环,只要分片处于活动状态,就会迭代,这会阻止我从不同的分片读取数据。到目前为止,我无法找到替代算法,也无法实现基于KCL的解决方案。非常感谢您的帮助。
public static void DoSomething() {
AmazonKinesisClient client = new AmazonKinesisClient();
//noinspection deprecation
client.setEndpoint(endpoint, serviceName, regionId);
/** get shards from the stream using describe stream method*/
DescribeStreamRequest describeStreamRequest = new DescribeStreamRequest();
describeStreamRequest.setStreamName(streamName);
List<Shard> shards = new ArrayList<>();
String exclusiveStartShardId = null;
do {
describeStreamRequest.setExclusiveStartShardId(exclusiveStartShardId);
DescribeStreamResult describeStreamResult = client.describeStream(describeStreamRequest);
shards.addAll(describeStreamResult.getStreamDescription().getShards());
if (describeStreamResult.getStreamDescription().getHasMoreShards() && shards.size() > 0) {
exclusiveStartShardId = shards.get(shards.size() - 1).getShardId();
} else {
exclusiveStartShardId = null;
}
}while (exclusiveStartShardId != null);
/** shards obtained */
String shardIterator;
GetShardIteratorRequest getShardIteratorRequest = new GetShardIteratorRequest();
getShardIteratorRequest.setStreamName(streamName);
getShardIteratorRequest.setShardId(shards.get(0).getShardId());
getShardIteratorRequest.setShardIteratorType("LATEST");
GetShardIteratorResult getShardIteratorResult = client.getShardIterator(getShardIteratorRequest);
shardIterator = getShardIteratorResult.getShardIterator();
GetRecordsRequest getRecordsRequest = new GetRecordsRequest();
while (!shardIterator.equals(null)) {
getRecordsRequest.setShardIterator(shardIterator);
getRecordsRequest.setLimit(250);
GetRecordsResult getRecordsResult = client.getRecords(getRecordsRequest);
List<Record> records = getRecordsResult.getRecords();
shardIterator = getRecordsResult.getNextShardIterator();
if(records.size()!=0) {
for(Record r : records) {
System.out.println(r.getPartitionKey());
}
}
try {
Thread.sleep(1000);
} catch (InterruptedException e) {
}
}
}