spark怎么结合es使用
使用ES-Hadoop里面的ES-Spark插件，来完成使用spark想es里面大批量插入数据。
操作方法
- 01
启动es后，spark shell导入es-hadoop jar包：cp elasticsearch-hadoop-2.1.2/dist/elasticsearch-spark* spark-1.6.0-bin-hadoop2.6/lib/ cd spark-1.6.0-bin-hadoop2.6/bin ./spark-shell --jars ../lib/elasticsearch-spark-1.2_2.10-2.1.2.jar
- 02
互交结果如下:import org.apache.spark.SparkConf import org.elasticsearch.spark._ val conf = new SparkConf() conf.set("es.index.auto.create", "true") conf.set("es.nodes", "127.0.0.1") val numbers = Map("one" -> 1, "two" -> 2, "three" -> 3) val airports = Map("OTP" -> "Otopeni", "SFO" -> "San Fran") sc.makeRDD(Seq(numbers, airports)).saveToEs("spark/docs")
- 03
然后查看ES中的数据:http://127.0.0.1:9200/spark/docs/_search?q=*
- 04
结果就是这样啦:{"took":71,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":2,"max_score":1.0,"hits":[{"_index":"spark","_type":"docs","_id":"AVfhVqPBv9dlWdV2DcbH","_score":1.0,"_source":{"OTP":"Otopeni","SFO":"San Fran"}},{"_index":"spark","_type":"docs","_id":"AVfhVqPOv9dlWdV2DcbI","_score":1.0,"_source":{"one":1,"two":2,"three":3}}]}}