elasticsearch_.net_client_nest2.x_到_5.x常用方法属性差异

Elasticsearch.Net、NEST 交流群:523061899

变更1 字段类型string

  • 2.x中仅有String类型,可设置是否分词、是否索引及分词使用的分词器。
  • 5.x中拆分为Keyword类型与Text类型,Keyword 不分词,可设置是否索引;Text分词,可设置是否索引及分词使用的分词器。
            [String(Name = "Name",Index = FieldIndexOption.NotAnalyzed)]
    public string Name { get; set; } [String(Name = "Dic", Index = FieldIndexOption.Analyzed,Analyzer = "ik_max_word")] /// <summary>
    /// keyword 不分词
    /// </summary>
    [Keyword(Name = "Name", Index = true)]
    public string Name { get; set; } /// <summary>
    /// text 分词,Analyzer = "ik_max_word"
    /// </summary>
    [Text(Name = "Dic", Index = true, Analyzer = "ik_max_word")]
    public string Dic { get; set; }

    注:5.x已将string标记为过时特性,下个版本将移除;

    变更2 滚动扫描获取全量数据

    滚动扫描支持并行执行提高获取数据效率;

    2.x

    public void SearchScanScroll(string indexName)
    {
    string scrollid = "";
    var result = _client.Search<TestModel2>(s => s.Index(indexName).Query(q => q.MatchAll())
    .Size()
    //todo:2x中的SearchType.Scan,5.x移除
    .SearchType(SearchType.Scan)
    .Scroll("1m"));
    scrollid = result.ScrollId;
    int count = ;
    while (true)
    {
    //得到滚动扫描的id
    //执行滚动扫描得到数据 返回数据量是 result.Shards.Successful*size(查询成功的分片数*size)
    var result1 = _client.Scroll<TestModel2>("1m", scrollid);
    if(result1.Documents==null || !result1.Documents.Any())
    break;
    foreach (var info in result1.Documents)
    {
    count++;
    Console.WriteLine(info.Id+" - "+ count);
    }
    //得到新的id
    scrollid = result1.ScrollId;
    }
    }

    5.x

    Action<int> sc1 = (id) =>
    {
    string scrollid = "";
    //todo:5.x 多了Slice设置 移除SearchType.Scan
    var result = _client.Search<TestModel5>(s => s.Index(indexName).Query(q => q.MatchAll())
    .Size()
    .Sort(st=>st.Descending(ds=>ds.Id))
    .Scroll("1m")
    //id从0开始 0,1,2...
    //length=max
    //例:max=3 id=0,id=1,id=2
    .Slice(sl => sl.Id(id).Max())
    ); //得到滚动扫描的id
    scrollid = result.ScrollId;
    foreach (var info in result.Documents)
    {
    Console.WriteLine(info.Id + " - " + " -批次count " + result.Documents.Count + " - 线程"+Thread.CurrentThread.ManagedThreadId);
    }
    while (true)
    {
    //执行滚动扫描得到数据 返回数据量是 result.Shards.Successful*size(查询成功的分片数*size)
    var result1 = _client.Scroll<TestModel5>("1m", scrollid);
    if (result1.Documents == null || !result1.Documents.Any())
    break;
    foreach (var info in result1.Documents)
    {
    Console.WriteLine(info.Id + " - " +" -批次count "+ result1.Documents.Count+ " - 线程" + Thread.CurrentThread.ManagedThreadId);
    }
    //得到新的id
    scrollid = result1.ScrollId;
    }
    };
    var t1= Task.Factory.StartNew(() => { sc1(); });
    var t2= Task.Factory.StartNew(() => { sc1(); });
    var t3= Task.Factory.StartNew(() => { sc1(); });
    t1.Wait();
    t2.Wait();
    t3.Wait();

    注:5.x 增加了Slice设置可并行拉取全量数据,移除SearchType.Scan,首次查询Search时也返回结果,2.x中设置SearchType.Scan首次Search只返回ScrollId。

    注:5.x中新增深度分页方案深度分页

    分组结果对象 Nest.KeyedBucket

    • 2.x KeyedBucket
    • 5.x KeyedBucket<object>

    聚合结果解析

    2.x

               var vendorIdGroup = (BucketAggregate)result.Aggregations["Group_Group"];
    foreach (var bucket1 in vendorIdGroup.Items)
    {
    //todo:2.x KeyedBucket
    var bucket = (KeyedBucket)bucket1;
    var maxPrice = ((ValueAggregate)bucket.Aggregations["Dvalue_Max"]).Value;
    }

    5.x

                var vendorIdGroup = (BucketAggregate)result.Aggregations["Group_Group"];
    foreach (var bucket1 in vendorIdGroup.Items)
    {
    //todo:5.x KeyedBucket<T>
    var bucket = (KeyedBucket<object>) bucket1;
    var maxPrice = ((ValueAggregate)bucket.Aggregations["Dvalue_Max"]).Value;
    }

    其它

    一些新的特性或接口会持续补充。

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