Spark ↔ ElasticSearch 
ElasticSearch integration for Apache Spark.
Features
- Transport client
- Partition per shard
- Data co-location
- Flexible and simple API
Usage
Add spark-es dependency to an SBT configuration file:
libraryDependencies += "com.github.shse" %% "spark-es" % "1.0.7"Read from ElasticSearch using query_string query:
import org.apache.spark.elasticsearch._
val query = "name:john"
val documents = sparkContext.esRDD(Seq("localhost"), "cluster1", Seq("index1"), Seq("type1"), query)Read from ElasticSearch using org.elasticsearch.action.search.SearchRequestBuilder:
import org.apache.spark.elasticsearch._
def getQuery = QueryBuilders.termQuery("name", "john") // Define query as a function to avoid serialization issues
val documents =
sparkContext.esRDD(Seq("localhost"), "SparkES", Seq("index1"), Seq("type1"), _.setQuery(getQuery))Save to ElasticSearch:
import org.apache.spark.elasticsearch._
val documents = Seq(
ESDocument(ESMetadata("1", "type1", "index1"), """{"name": "Sergey Shumov"}"""),
ESDocument(ESMetadata("2", "type1", "index1"), """{"name": "John Smith"}""")
)
val options = SaveOptions(
saveOperation = SaveOperation.Create, // Do not overwrite existing documents
ignoreConflicts = true // Do not fail if document already exists
)
sparkContext
.parallelize(documents, 2)
.saveToES(Seq("localhost"), "cluster1", options)Delete from ElasticSearch:
import org.apache.spark.elasticsearch._
// Using metadata RDD
val metadata = Seq(
ESMetadata("1", "type1", "index1"),
ESMetadata("2", "type1", "index1")
)
sparkContext
.parallelize(documents, 2)
.deleteFromES(Seq("localhost"), "cluster1")
// Using document indices
val ids = Seq("1", "2")
sparkContext
.parallelize(ids, 2)
.deleteFromES(Seq("localhost"), "cluster1", "index1", "type1")Custom bulk action:
import org.apache.spark.elasticsearch._
val items = Seq("type1" -> "1", "type2" -> "2")
def handleResponse(response: BulkItemResponse): Unit =
if (response.isFailed)
println(response.getFailure.getStatus)
def handleDocument(client: Client, bulk: BulkRequestBuilder, document: (String, String): Unit =
bulk.add(client.prepareDelete("index1", document._1, document._2))
sparkContext
.parallelize(items, 2)
.bulkToES(Seq("localhost"), "cluster1", handleDocument, handleResponse)Building
Assembly:
sbt assembly
