Springdataelasticsearch使用方法详解

    
      org.springframework.boot
      spring-boot-starter-data-elasticsearch
    

spring:
 application:
  name: search-service
 data:
  elasticsearch:
   cluster-name: elasticsearch
   cluster-nodes: 192.168.25.129:9300

@Data
@Document(indexName = "goods", type = "_doc", shards = 1, replicas = 0)
public class Goods {
  @Idprivate Long id;
  @Field(type = FieldType.text, analyzer = "ik_max_word")
  private String all;
  @Field(type = FieldType.keyword, index = false)
  private String subTitle;private Long brandId;private Long cid1;private Long cid2;private Long cid3;private Date createTime;private List price;
  @Field(type = FieldType.keyword, index = false)
  private String skus;private Map specs;
}

@Resource
private ElasticsearchTemplate elasticsearchTemplate;

elasticsearchTemplate.createIndex(Goods.class);

elasticsearchTemplate.putMapping(Goods.class);

//根据类
elasticsearchTemplate.deleteIndex(Goods.class);
//根据索引名
elasticsearchTemplate.deleteIndex("goods");

public interface ItemRepository extends ElasticsearchRepository {
}

@Autowired
private ItemRepository itemRepository;

Item item = new Item(1L, "小米手机7", " 手机",
             "小米", 3499.00, "http://image.leyou.com/13123.jpg");
itemRepository.save(item);

  List list = new ArrayList<>();
  list.add(new Item(2L, "坚果手机R1", " 手机", "锤子", 3699.00, "http://image.leyou.com/123.jpg"));
  list.add(new Item(3L, "华为META10", " 手机", "华为", 4499.00, "http://image.leyou.com/3.jpg"));
  // 接收对象集合，实现批量新增
  itemRepository.saveAll(list);

  // 查询全部，并安装价格降序排序
  Iterable items = this.itemRepository.findAll(Sort.by(Sort.Direction.DESC, "price"));
  items.forEach(item-> System.out.println(item));

public interface ItemRepository extends ElasticsearchRepository {

  /**
   * 根据价格区间查询
   * @param price1
   * @param price2
   * @return
   */
  List findByPriceBetween(double price1, double price2);
}

    MatchQueryBuilder queryBuilder = QueryBuilders.matchQuery("all", "小米");
    // 执行查询
    Iterable goods = this.goodsRepository.search(queryBuilder);

// 构建查询条件
    NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
    // 添加基本的分词查询
    queryBuilder.withQuery(QueryBuilders.matchQuery("all", "小米"));
    // 执行搜索，获取结果
    Page goods = this.goodsRepository.search(queryBuilder.build());
    // 打印总条数
    System.out.println(goods.getTotalElements());
    // 打印总页数
    System.out.println(goods.getTotalPages());

// 构建查询条件
    NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
    // 添加基本的分词查询
    queryBuilder.withQuery(QueryBuilders.termQuery("all", "手机"));

    // 初始化分页参数
    int page = 0;
    int size = 3;
    // 设置分页参数
    queryBuilder.withPageable(PageRequest.of(page, size));

    // 执行搜索，获取结果
    Page goods = this.goodsRepository.search(queryBuilder.build());
    // 打印总条数
    System.out.println(goods.getTotalElements());
    // 打印总页数
    System.out.println(goods.getTotalPages());
    // 每页大小
    System.out.println(goods.getSize());
    // 当前页
    System.out.println(goods.getNumber());

// 构建查询条件
    NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
    // 添加基本的分词查询
    queryBuilder.withQuery(QueryBuilders.termQuery("all", "手机"));

    // 排序
    queryBuilder.withSort(SortBuilders.fieldSort("price").order(SortOrder.DESC));

    // 执行搜索，获取结果
    Page goods = this.goodsRepository.search(queryBuilder.build());
    // 打印总条数
    System.out.println(goods.getTotalElements());

NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
    // 不查询任何结果
    queryBuilder.withSourceFilter(new FetchSourceFilter(new String[]{""}, null));
    // 1、添加一个新的聚合，聚合类型为terms，聚合名称为brands，聚合字段为brand
    queryBuilder.addAggregation(AggregationBuilders.terms("brands").field("brandId"));
    // 2、查询,需要把结果强转为AggregatedPage类型
    AggregatedPage aggPage = (AggregatedPage) this.goodsRepository.search(queryBuilder.build());
    // 3、解析
    // 3.1、从结果中取出名为brands的那个聚合，
    // 因为是利用String类型字段来进行的term聚合，所以结果要强转为StringTerm类型
    LongTerms agg = (LongTerms) aggPage.getAggregation("brands");
    // 3.2、获取桶
    List buckets = agg.getBuckets();
    // 3.3、遍历
    for (LongTerms.Bucket bucket : buckets) {
      // 3.4、获取桶中的key，即品牌名称
      System.out.println(bucket.getKeyAsString());
      // 3.5、获取桶中的文档数量
      System.out.println(bucket.getDocCount());
    }

NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
    // 不查询任何结果
    queryBuilder.withSourceFilter(new FetchSourceFilter(new String[]{""}, null));
    // 1、添加一个新的聚合，聚合类型为terms，聚合名称为brands，聚合字段为brand
    queryBuilder.addAggregation(AggregationBuilders.terms("brands").field("brandId")
            .subAggregation(AggregationBuilders.avg("priceAvg").field("price"))); // 在品牌聚合桶内进行嵌套聚合，求平均值
    // 2、查询,需要把结果强转为AggregatedPage类型
    AggregatedPage aggPage = (AggregatedPage) this.goodsRepository.search(queryBuilder.build());
    // 3、解析
    // 3.1、从结果中取出名为brands的那个聚合，
    // 因为是利用String类型字段来进行的term聚合，所以结果要强转为StringTerm类型
    LongTerms agg = (LongTerms) aggPage.getAggregation("brands");
    // 3.2、获取桶
    List buckets = agg.getBuckets();
    // 3.3、遍历
    for (LongTerms.Bucket bucket : buckets) {
      // 3.4、获取桶中的key，即品牌名称 3.5、获取桶中的文档数量
      System.out.println(bucket.getKeyAsString() + "，共" + bucket.getDocCount() + "台");

      // 3.6.获取子聚合结果：
      InternalAvg avg = (InternalAvg) bucket.getAggregations().asMap().get("priceAvg");
      System.out.println("平均售价：" + avg.getValue());
    }

spring:
 jackson:
  default-property-inclusion: non_null # 配置json处理时忽略空值