spring中如何使用模式封装ElasticsearchTemplate？这篇文章运用了实例代码展示，代码非常详细，感兴趣的小伙伴们可以参考借鉴，希望对大家能有所帮助。

1.查询

@Override public <T> FacetedPage<T> queryForPage(SearchQuery query, Class<T> clazz, SearchResultMapper mapper) { SearchResponse response = doSearch(prepareSearch(query, clazz), query); return mapper.mapResults(response, clazz, query.getPageable()); }

主要逻辑在doSearch方法中

private SearchResponse doSearch(SearchRequestBuilder searchRequest, SearchQuery searchQuery) { if (searchQuery.getFilter() != null) { searchRequest.setPostFilter(searchQuery.getFilter()); } if (CollectionUtils.isNotEmpty(searchQuery.getElasticsearchSorts())) { for (SortBuilder sort : searchQuery.getElasticsearchSorts()) { searchRequest.addSort(sort); } } if (CollectionUtils.isNotEmpty(searchQuery.getFacets())) { for (FacetRequest facetRequest : searchQuery.getFacets()) { FacetBuilder facet = facetRequest.getFacet(); if (facetRequest.applyQueryFilter() && searchQuery.getFilter() != null) { facet.facetFilter(searchQuery.getFilter()); } searchRequest.addFacet(facet); } } if (searchQuery.getHighlightFields() != null) { for (HighlightBuilder.Field highlightField : searchQuery.getHighlightFields()) { searchRequest.addHighlightedField(highlightField); } } if (CollectionUtils.isNotEmpty(searchQuery.getAggregations())) { for (AbstractAggregationBuilder aggregationBuilder : searchQuery.getAggregations()) { searchRequest.addAggregation(aggregationBuilder); } } return getSearchResponse(searchRequest.setQuery(searchQuery.getQuery()).execute()); }

该方法主要处理逻辑

1.加入顺序参数

2.设置参数过滤参数

3.设置高亮显示参数

结果处理由组件ResultsMapper 结果映射器处理

public interface ResultsMapper extends SearchResultMapper, GetResultMapper, MultiGetResultMapper {

EntityMapper getEntityMapper();

}

public interface SearchResultMapper {

<T> FacetedPage<T> mapResults(SearchResponse response, Class<T> clazz, Pageable pageable);

}

初始化映射器

public ElasticsearchTemplate(Client client, ElasticsearchConverter elasticsearchConverter, ResultsMapper resultsMapper) {
this.client = client;
this.elasticsearchConverter = (elasticsearchConverter == null) ? new MappingElasticsearchConverter(
new SimpleElasticsearchMappingContext()) : elasticsearchConverter;
this.resultsMapper = (resultsMapper == null) ? new DefaultResultMapper(this.elasticsearchConverter.getMappingContext()) : resultsMapper;
}

默认实现的映射器DefaultResultMapper

@Override public <T> FacetedPage<T> mapResults(SearchResponse response, Class<T> clazz, Pageable pageable) { long totalHits = response.getHits().totalHits(); List<T> results = new ArrayList<T>(); for (SearchHit hit : response.getHits()) { if (hit != null) { T result = null; if (!Strings.isNullOrEmpty(hit.sourceAsString())) { result = mapEntity(hit.sourceAsString(), clazz); } else { result = mapEntity(hit.getFields().values(), clazz); } setPersistentEntityId(result, hit.getId(), clazz); results.add(result); } } List<FacetResult> facets = new ArrayList<FacetResult>(); if (response.getFacets() != null) { for (Facet facet : response.getFacets()) { FacetResult facetResult = DefaultFacetMapper.parse(facet); if (facetResult != null) { facets.add(facetResult); } } } return new FacetedPageImpl<T>(results, pageable, totalHits, facets); }

主要是讲json格式转换为指定Class类型bean对象

##2.自主扩展

搜索逻辑绝大部分可以固化封装，只有结果处理需要留出用户扩展空间，可以用回调的方式，定义接口，参数中传入匿名实现

@Override
public <T> T query(SearchQuery query, ResultsExtractor<T> resultsExtractor) {
SearchResponse response = doSearch(prepareSearch(query), query);
return resultsExtractor.extract(response);
}

public interface ResultsExtractor<T> {

T extract(SearchResponse response); }

以上就是spring中使用模式封装ElasticsearchTemplate的方法，详细使用情况还需要大家自己亲自动手使用过才能领会。如果想了解更多相关内容，欢迎关注亿速云行业资讯频道！