Allow to pipe the result of an Elasticsearch query into a Flink data set. Supports scala & java tuples, case classes, POJO, and a variable length result set called DataRow.
libraryDependencies += "com.mnubo" %% "flink-elasticsearch-source-connector" % "1.0.0-flink1"
import com.mnubo.flink.streaming.connectors.DataRow
import com.mnubo.flink.streaming.connectors.elasticsearch.ElasticsearchDataset
import org.apache.flink.api.scala._
val esIndexName = "my_es_index"
val esNodeHostNames = Set("es_node_1", "es_node_2", "es_node_3")
val esHttpPort = 9200
val esQuery = """{"fields": ["some_string","some_boolean","some_long","some_date","sub_doc.sub_doc_id"]}"""
val dataSet = ElasticsearchDataset.fromElasticsearchQuery[DataRow](
ExecutionEnvironment.getExecutionEnvironment,
esIndexName,
esQuery,
esNodeHostNamess,
esHttpPort
)
dataSet
.groupBy("sub_doc.sub_doc_id")
.sum(2)
.print
The Elasticsearch query must contain a fields field.
Aggregations are not supported.
Tested with Elasticsearch 1.5.2, 1.7.5, and 2.3.3.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent