Hi! Thanks for sharing that repo! I think that would be quite an useful contribution to Flink for the users, if you’re up to preparing a PR for it :)
It also looks like you’ve adopted most of the current ElasticsearchSink APIs (RequestIndexer, ElasticsearchSinkFunction, etc.) for the ElasticsearchOutputFormat, which is nice to fit into the current code :-D Cheers, Gordon On 9 May 2017 at 1:05:14 PM, wyphao.2007 (wyphao.2...@163.com) wrote: Hi Flavio Maybe this is what you want: https://github.com/397090770/flink-elasticsearch2-connector, It can save Flink DataSet to elasticsearch. import scala.collection.JavaConversions._ val config = Map("bulk.flush.max.actions" -> "1000", "cluster.name" -> "elasticsearch")val hosts = "www.iteblog.com"val transports = hosts.split(",").map(host => new InetSocketAddress(InetAddress.getByName(host), 9300)).toListval data : DataSet[String] = .... data.output(new ElasticSearchOutputFormat(config, transports, new ElasticsearchSinkFunction[String] { def createIndexRequest(element: String): IndexRequest = { Requests.indexRequest.index("iteblog").`type`("info").source(element) } override def process(element: String, ctx: RuntimeContext, indexer: RequestIndexer) { indexer.add(createIndexRequest(element)) } })) I hope this could help you 在2017年05月09 12时59分, "Tzu-Li (Gordon) Tai"<tzuli...@apache.org>写道: Hi Flavio, I don’t think there is a bridge class for this. At the moment you’ll have to implement your own OutputFormat. The ElasticsearchSink is a SinkFunction which is part of the DataStream API, which generally speaking at the moment has no bridge or unification yet with the DataSet API. Cheers, Gordon On 3 May 2017 at 10:15:51 PM, Flavio Pompermaier (pomperma...@okkam.it) wrote: Hi to all, at the moment I have a Flink Job that generates a DataSet<String> that I write to a File that is read by Logstash to index data on ES. I'd like to use the new ElasticsearchSink to index those JSON directly from Flink but ElasticsearchSink only works with streaming environment. Is there any bridge class for this? Best, Flavio
