1.工程依赖
<properties>
<spark_version>2.3.1</spark_version>
<!-- elasticsearch-->
<elasticsearch.version>5.5.2</elasticsearch.version>
<fastjson.version>1.2.28</fastjson.version>
<elasticsearch-hadoop.version>6.3.2</elasticsearch-hadoop.version>
<elasticsearch-spark.version>5.5.2</elasticsearch-spark.version>
</properties>
<dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark_version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>${spark_version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-yarn -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-yarn_2.11</artifactId>
<version>${spark_version}</version>
</dependency>
<dependency>
<groupId>org.elasticsearch</groupId>
<artifactId>elasticsearch-spark-20_2.11</artifactId>
<version>${elasticsearch-spark.version}</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.46</version>
</dependency>
</dependencies>
2.spark读取hadoop hdfs数据,并推送至elasticsearch
public class PushWordCombination {
private static PinyinTool tool = new PinyinTool();
public static void pushDataByLen(SparkContext sc, SparkSession sparkSession, String goodsCategory, Integer len) {
Dataset<Row> goodsDF1 = sparkSession.read().format("json").json(String.format("/data/app/%s/combination%d.json", goodsCategory, len));
if (goodsDF1.count() == 0) {
return;
}
sparkSession.udf().register("pinYin", (String s) -> tool.toPinYin(s, "", PinyinTool.Type.LOWERCASE), DataTypes.StringType);
Encoder<RDDKeyByCounts> nameKeyEncoder = Encoders.bean(RDDKeyByCounts.class);
Dataset<RDDKeyByCounts> dataset = goodsDF1.selectExpr("name as name", "counts as counts", String.format("%d as goodsCategory", 0),
String.format("%d as nameLen", len), "pinYin(name) as pinYin").as(nameKeyEncoder);
JavaEsSpark.saveToEs(dataset.javaRDD(),"goods-category/category", ImmutableMap.of("es.mapping.id", "name"));
}
public static void main(String[] args) {
//自定义比较器
SparkConf conf = new SparkConf().setAppName("my-app").
set("es.nodes", ESProperties.IP).
set("es.port",ESProperties.PORT).
set("pushdown",ESProperties.PUSH_DOWN).
set("es.index.auto.create",ESProperties.INDEX_AUTO_CREATE).
set("es.nodes.wan.only","true").//在这种模式下,连接器禁用发现,并且只在所有操作中通过声明的ESE节点连接,包括读和写
set("es.net.http.auth.user",ESProperties.SECURITY_USER).
set("es.net.http.auth.pass",ESProperties.SECURITY_PWD);
SparkContext sc = new SparkContext(conf);
SparkSession sparkSession = new SparkSession(sc);
for (int j = 2; j <= 4; j++) {
pushDataByLen(sc, sparkSession, "all", j);
}
sparkSession.stop();
}
}