Java Code Examples for org.elasticsearch.search.SearchHit#getIndex()

@Override
public void onResponse(final SearchResponse response) {
    final String scrollId = response.getScrollId();
    final SearchHits hits = response.getHits();
    final int size = hits.getHits().length;
    currentCount += size;
    if (logger.isDebugEnabled()) {
        logger.debug("scrollId: {}, totalHits: {}, hits: {}, current: {}",
                scrollId, hits.getTotalHits(), size, currentCount);
    }
    try {
        for (final SearchHit hit : hits) {
            final String index = bulkIndex == null ? hit.getIndex()
                    : bulkIndex;
            final String operation = "{\"index\":{\"_index\":\"" + index
                    + "\",\"_id\":\"" + hit.getId() + "\"}}";
            final String source = XContentHelper.convertToJson(
                    hit.getSourceRef(), true, false, XContentType.JSON);
            writer.append(operation).append('\n');
            writer.append(source).append('\n');
        }

        if (size == 0 || scrollId == null) {
            // end
            writer.flush();
            close();
            listener.onResponse(null);
        } else {
            client.prepareSearchScroll(scrollId)
                    .setScroll(RequestUtil.getScroll(request))
                    .execute(this);
        }
    } catch (final Exception e) {
        onFailure(e);
    }
}
 

public void after() throws IOException {
    //3.获取查询结果
    SearchResponse searchResponse = restHighLevelClient.search(searchRequest,
            RequestOptions.DEFAULT);

    // 查询花费时间，单位是毫秒
    TimeValue took = searchResponse.getTook();
    // 分片信息
    int total = searchResponse.getTotalShards();
    int success = searchResponse.getSuccessfulShards();
    int skipped = searchResponse.getSkippedShards();
    int failed = searchResponse.getFailedShards();
    // 搜索结果总览对象
    SearchHits searchHits = searchResponse.getHits();
    // 搜索到的总条数
    long totalHits = searchHits.getTotalHits();
    // 所有结果中文档得分的最高分
    float maxScore = searchHits.getMaxScore();

    System.out.println("took：" + took);
    System.out.println("_shards：");
    System.out.println("        total：" + total);
    System.out.println("        success：" + success);
    System.out.println("        skipped：" + skipped);
    System.out.println("        failed：" + failed);
    System.out.println("hits：");
    System.out.println("        total：" + totalHits);
    System.out.println("        max_score：" + maxScore);
    System.out.println("        hits：");
    // 搜索结果的文档对象数组，每个元素是一条搜索到的文档信息
    SearchHit[] hits = searchHits.getHits();
    for (SearchHit hit : hits) {
        // 索引库
        String index = hit.getIndex();
        // 文档类型
        String type = hit.getType();
        // 文档id
        String id = hit.getId();
        // 文档得分
        float score = hit.getScore();
        // 文档的源数据
        String source = hit.getSourceAsString();
        System.out.println("            _index：" + index);
        System.out.println("            _type：" + type);
        System.out.println("            _id：" + id);
        System.out.println("            _score：" + score);
        System.out.println("            _source：" + source);
    }
    restHighLevelClient.close();
}
 

public static void searchApi() throws IOException {

        RestHighLevelClient client = HighLevelClient.getInstance();

        try {
            SearchRequest searchRequest = new SearchRequest("jingma2_test");//限定index
            searchRequest.types("testlog");//限定type

            SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
            /*查询所有记录*/

//        searchSourceBuilder.query(QueryBuilders.matchAllQuery());


            /*根据匹配查询*/
            QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("name", "风雷");
            /*设置中文分词器*/
//            ((MatchQueryBuilder) matchQueryBuilder).analyzer("ik");
//            ((MatchQueryBuilder) matchQueryBuilder).analyzer("ik_max_word");
//            ((MatchQueryBuilder) matchQueryBuilder).analyzer("ik_smart");
//            ((MatchQueryBuilder) matchQueryBuilder).analyzer("standard");
            searchSourceBuilder.query(matchQueryBuilder);

            /*限定查询条件和查询条数*/
//            searchSourceBuilder.query(QueryBuilders.termQuery("name", "风雷"));
            searchSourceBuilder.from(0);
            searchSourceBuilder.size(5);
//            searchSourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));

            /*限定查询结果排序*/
//            searchSourceBuilder.sort(new ScoreSortBuilder().order(SortOrder.DESC));
//            searchSourceBuilder.sort(new FieldSortBuilder("age").order(SortOrder.ASC));

            searchRequest.source(searchSourceBuilder);

            SearchResponse searchResponse = client.search(searchRequest);
            System.out.println(searchResponse);

            SearchHits hits = searchResponse.getHits();
            long totalHits = hits.getTotalHits();
            float maxScore = hits.getMaxScore();

            SearchHit[] searchHits = hits.getHits();
            for (SearchHit hit : searchHits) {
                String index = hit.getIndex();
                String type = hit.getType();
                String id = hit.getId();
                float score = hit.getScore();
                String sourceAsString = hit.getSourceAsString();
                System.out.println(sourceAsString);
//                Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            }

        }finally {
            HighLevelClient.close();
        }

    }
 

public ElasticsearchDocument(SearchHit hit, Function<? super String, ? extends SpatialContext> geoContextMapper) {
	this(hit.getId(), hit.getType(), hit.getIndex(), hit.getVersion(), hit.getSourceAsMap(), geoContextMapper);
}
 

private static KibanaConfigEntryDto parseSearchHit(SearchHit hit) {
    System.out.printf("Reading %s/%s/%s%n", hit.getIndex(), hit.getType(), hit.getId());

    String id = hit.getId();
    if (hit.getId().equals(statisticsIndex)) {
        id = KibanaImporter.INDEX_NEEDLE;
    }

    String source = hit.getSourceAsString().replace(statisticsIndex, KibanaImporter.INDEX_NEEDLE);

    return new KibanaConfigEntryDto(hit.getIndex(), hit.getType(), id, source);

}