elasticsearch中怎么使用update更新文档

这篇文章主要介绍“elasticsearch中怎么使用update更新文档”,在日常操作中,相信很多人在elasticsearch中怎么使用update更新文档问题上存在疑惑,小编查阅了各式资料,整理出简单好用的操作方法,希望对大家解答”elasticsearch中怎么使用update更新文档”的疑惑有所帮助!接下来,请跟着小编一起来学习吧!

宿豫ssl适用于网站、小程序/APP、API接口等需要进行数据传输应用场景,ssl证书未来市场广阔!成为创新互联的ssl证书销售渠道,可以享受市场价格4-6折优惠!如果有意向欢迎电话联系或者加微信:028-86922220(备注:SSL证书合作)期待与您的合作!

文档

添加数据

如果数据不存在,会自动创建

rst, _ := client.Index().Index("user").BodyJson(&User{Name: "hnatao", Age: 20}).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "_index": "user",
    "_type": "_doc",
    "_id": "iL1nWHQBIsMSghaJZ0p9",
    "_version": 1,
    "result": "created",
    "_shards": { "total": 4, "successful": 1, "failed": 0 },
    "_primary_term": 1
}

添加指定 id 的数据

指定 _id = "1"

rst, _ := client.Index().Index("user").Id("1").BodyJson(&User{Name: "lqt", Age: 22}).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "_index": "user",
    "_type": "_doc",
    "_id": "1",
    "_version": 1,
    "result": "created",
    "_shards": { "total": 4, "successful": 1, "failed": 0 },
    "_seq_no": 1,
    "_primary_term": 1
}

更新数据

_id = "1" 已经存在,修改年龄,该操作会导致其他字段为空,因为该操作属于覆盖操作

rst, _ := client.Index().Index("user").Id("1").BodyJson(&User{Age: 23}).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "_index": "user",
    "_type": "_doc",
    "_id": "1",
    "_version": 2,
    "result": "updated",
    "_shards": { "total": 4, "successful": 1, "failed": 0 },
    "_seq_no": 2,
    "_primary_term": 1
}

使用_update更新文档

使用map[string]interface{}更新字段

rst, _ := client.Update().Index("user").Id("1").Doc(map[string]interface{}{"age":25}).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "_index": "user",
    "_type": "_doc",
    "_id": "1",
    "_version": 7,
    "result": "updated",
    "_shards": { "total": 4, "successful": 1, "failed": 0 },
    "_seq_no": 7,
    "_primary_term": 1
}

使用_update_by_query更新文档

q := elastic.NewMatchQuery("_id", "1")
sc := elastic.NewScript("ctx._source.age=21")
rst, _ := client.UpdateByQuery("user").Query(q).Script(sc).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "took": 5,
    "timed_out": false,
    "total": 1,
    "updated": 1,
    "deleted": 0,
    "batches": 1,
    "version_conflicts": 0,
    "noops": 0,
    "retries": { "bulk": 0, "search": 0 },
    "throttled": "",
    "throttled_millis": 0,
    "requests_per_second": -1,
    "throttled_until": "",
    "throttled_until_millis": 0,
    "failures": []
}

通过 _bulk 批量添加文档

bulkReq1 := elastic.NewBulkIndexRequest().Id("2").Doc(&User{Name: "张三", Age: 21})
bulkReq2 := elastic.NewBulkIndexRequest().Id("3").Doc(&User{Name: "李四", Age: 22})
rst, _ := client.Bulk().Index("user").Add(bulkReq1, bulkReq2).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "took": 3,
    "items": [
        {
            "index": {
                "_index": "user",
                "_type": "_doc",
                "_id": "2",
                "_version": 1,
                "result": "created",
                "_shards": { "total": 4, "successful": 1, "failed": 0 },
                "_seq_no": 19,
                "_primary_term": 1,
                "status": 201
            }
        },
        {
            "index": {
                "_index": "user",
                "_type": "_doc",
                "_id": "3",
                "_version": 1,
                "result": "created",
                "_shards": { "total": 4, "successful": 1, "failed": 0 },
                "_seq_no": 20,
                "_primary_term": 1,
                "status": 201
            }
        }
    ]
}

通过 _bulk 批量更新文档

bulkReq1 := elastic.NewBulkUpdateRequest().Index("user").Id("2").Doc(map[string]interface{}{"age": 31})
bulkReq2 := elastic.NewBulkUpdateRequest().Index("user").Id("3").Doc(map[string]interface{}{"age": 31})
rst, _ := client.Bulk().Add(bulkReq1, bulkReq2).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "took": 7,
    "items": [
        {
            "update": {
                "_index": "user",
                "_type": "_doc",
                "_id": "2",
                "_version": 2,
                "result": "updated",
                "_shards": { "total": 4, "successful": 1, "failed": 0 },
                "_seq_no": 21,
                "_primary_term": 1,
                "status": 200
            }
        },
        {
            "update": {
                "_index": "user",
                "_type": "_doc",
                "_id": "3",
                "_version": 2,
                "result": "updated",
                "_shards": { "total": 4, "successful": 1, "failed": 0 },
                "_seq_no": 22,
                "_primary_term": 1,
                "status": 200
            }
        }
    ]
}

通过 _bulk 批量删除文档

bulkReq1 := elastic.NewBulkDeleteRequest().Index("user").Id("2")
bulkReq2 := elastic.NewBulkDeleteRequest().Index("user").Id("3")
rst, _ := client.Bulk().Add(bulkReq1, bulkReq2).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "took": 130,
    "items": [
        {
            "delete": {
                "_index": "user",
                "_type": "_doc",
                "_id": "2",
                "_version": 3,
                "result": "deleted",
                "_shards": { "total": 4, "successful": 1, "failed": 0 },
                "_seq_no": 23,
                "_primary_term": 1,
                "status": 200
            }
        },
        {
            "delete": {
                "_index": "user",
                "_type": "_doc",
                "_id": "3",
                "_version": 3,
                "result": "deleted",
                "_shards": { "total": 4, "successful": 1, "failed": 0 },
                "_seq_no": 24,
                "_primary_term": 1,
                "status": 200
            }
        }
    ]
}

按照 _id 升序排序,取前 2 个数据

rst, _ := client.Search().Index("user").Sort("_id", false).Size(2).From(0).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "took": 439,
    "hits": {
        "total": { "value": 8, "relation": "eq" },
        "hits": [
            {
                "_index": "user",
                "_type": "_doc",
                "_id": "5",
                "_seq_no": null,
                "_primary_term": null,
                "sort": ["1"],
                "_source": { "name": "lqt", "age": 21 }
            },
            {
                "_index": "user",
                "_type": "_doc",
                "_id": "4",
                "_seq_no": null,
                "_primary_term": null,
                "sort": ["2"],
                "_source": { "name": "张三", "age": 21 }
            }
        ]
    },
    "_shards": { "total": 1, "succeful": 1, "failed": 0 }
}

按照字段值排序

年龄降序,_id升序,前 5 条数据

rst, _ := client.Search().Index("user").SortBy(elastic.NewFieldSort("age").Desc(), elastic.NewFieldSort("_id").Asc()).Size(5).From(0).Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "hits": {
        "total": { "value": 8, "relation": "eq" },
        "hits": [
            {
                "_index": "user",
                "_type": "_doc",
                "_id": "5",
                "_seq_no": null,
                "_primary_term": null,
                "sort": [24, "5"],
                "_source": { "name": "张学友", "age": 24 }
            },
            {
                "_index": "user",
                "_type": "_doc",
                "_id": "4",
                "_seq_no": null,
                "_primary_term": null,
                "sort": [23, "4"],
                "_source": { "name": "刘德华", "age": 23 }
            },
            {
                "_index": "user",
                "_type": "_doc",
                "_id": "3",
                "_seq_no": null,
                "_primary_term": null,
                "sort": [22, "3"],
                "_source": { "name": "李四", "age": 22 }
            },
            {
                "_index": "user",
                "_type": "_doc",
                "_id": "1",
                "_seq_no": null,
                "_primary_term": null,
                "sort": [21, "1"],
                "_source": { "name": "lqt", "age": 21 }
            },
            {
                "_index": "user",
                "_type": "_doc",
                "_id": "2",
                "_seq_no": null,
                "_primary_term": null,
                "sort": [21, "2"],
                "_source": { "name": "张三", "age": 21 }
            }
        ]
    },
    "_shards": { "total": 1, "successful": 1, "failed": 0 }
}

查询结果只展示部分字段

rst, _ := client.Search().Index("user").FilterPath("hits.hits._id", "hits.hits._source.name").Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "hits": {
        "hits": [
            {
                "_id": "1",
                "_seq_no": null,
                "_primary_term": null,
                "_source": { "name": "lqt" }
            },
            {
                "_id": "2",
                "_seq_no": null,
                "_primary_term": null,
                "_source": { "name": "张三" }
            },
            {
                "_id": "3",
                "_seq_no": null,
                "_primary_term": null,
                "_source": { "name": "李四" }
            },
            {
                "_id": "4",
                "_seq_no": null,
                "_primary_term": null,
                "_source": { "name": "刘德华" }
            },
            {
                "_id": "5",
                "_seq_no": null,
                "_primary_term": null,
                "_source": { "name": "张学友" }
            }
        ]
    }
}

根据_id查询数据

rst, _ := client.Get().Index("user").Id("1").Do(ctx)
buf, _ := json.Marshal(rst)
fmt.Println(string(buf))

返回

{
    "_index": "user",
    "_type": "_doc",
    "_id": "1",
    "_uid": "",
    "_routing": "",
    "_parent": "",
    "_version": 5,
    "_seq_no": 5,
    "_primary_term": 1,
    "_source": { "name": "", "age": 23 },
    "found": true
}

到此,关于“elasticsearch中怎么使用update更新文档”的学习就结束了,希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习,快去试试吧!若想继续学习更多相关知识,请继续关注创新互联网站,小编会继续努力为大家带来更多实用的文章!


当前名称:elasticsearch中怎么使用update更新文档
本文路径:http://scyanting.com/article/ppodcs.html