elasticsearch+spark+hbase 整合

1.用到的maven依赖

       <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_2.11</artifactId>
            <version>1.6.1</version>
        </dependency>

        <dependency>
            <groupId>org.elasticsearch</groupId>
            <artifactId>elasticsearch-hadoop</artifactId>
            <version>2.4.0</version>
        </dependency>

注意：上面两个依赖的顺序不能换，否则编译代码的Scala版本会变成 2.10（这是因为maven顺序加载pom中的依赖jar），会导致下述问题：

15/05/26 21:33:24 INFO cluster.SparkDeploySchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
Exception in thread "main" java.lang.NoSuchMethodError: scala.Predef$.ArrowAssoc(Ljava/lang/Object;)Ljava/lang/Object;
    at stream.tan14.cn.streamTest$.main(streamTest.scala:25)
    at stream.tan14.cn.streamTest.main(streamTest.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:328)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)  

2、spark和elasticsearch 整合查询接口

1）参考地址 ：

https://www.elastic.co/guide/en/elasticsearch/reference/2.4/query-dsl.html

https://www.elastic.co/guide/en/elasticsearch/hadoop/2.4/spark.html#spark-installation

2）接口代码：

 val query =
      """{
          "query": {
            "bool": {
              "must": [{
                "range":{
                  "updatetime": {
                    "gte": ""
                  }
                }
              }]
            }
          }
        }"""

//  上述query用于过滤es数据，如果没有添加这一项，直接用spark的dataframe 过滤，性能会受到很大的影响！！
    val options = Map("es.nodes" -> ES_URL, "es.port" -> ES_PORT, "es.query" -> query)
    ctx.read.format("org.elasticsearch.spark.sql").options(options).load("index/type").registerTempTable("test")