Elasticsearch-bulk批量增删改(学习笔记)


1、bulk语法

POST /_bulk
{ "delete": { "_index": "test_index", "_type": "test_type", "_id": "3" }} 
{ "create": { "_index": "test_index", "_type": "test_type", "_id": "12" }}
{ "test_field":    "test12" }
{ "index":  { "_index": "test_index", "_type": "test_type", "_id": "2" }}
{ "test_field":    "replaced test2" }
{ "update": { "_index": "test_index", "_type": "test_type", "_id": "1", "_retry_on_conflict" : 3} }
{ "doc" : {"test_field2" : "bulk test1"} }

每一个操作要两个json串,语法如下:

{"action": {"metadata"}}
{"data"}

举例,比如你现在要创建一个文档,放bulk里面,看起来会是这样子的:

{"index": {"_index": "test_index", "_type", "test_type", "_id": "1"}}
{"test_field1": "test1", "test_field2": "test2"}

有哪些类型的操作可以执行呢?
(1)delete:删除一个文档,只要1个json串就可以了
(2)create:PUT /index/type/id/_create,强制创建
(3)index:普通的put操作,可以是创建文档,也可以是全量替换文档
(4)update:执行的partial update操作

注意:bulk api对json的语法,有严格的要求,每个json串不能换行,只能放一行,同时一个json串和一个json串之间,必须有一个换行,否侧会报错:

{
  "error": {
    "root_cause": [
      {
        "type": "json_e_o_f_exception",
        "reason": "Unexpected end-of-input: expected close marker for Object (start marker at [Source: org.elasticsearch.transport.netty4.ByteBufStreamInput@5a5932cd; line: 1, column: 1])\n at [Source: org.elasticsearch.transport.netty4.ByteBufStreamInput@5a5932cd; line: 1, column: 3]"
      }
    ],
    "type": "json_e_o_f_exception",
    "reason": "Unexpected end-of-input: expected close marker for Object (start marker at [Source: org.elasticsearch.transport.netty4.ByteBufStreamInput@5a5932cd; line: 1, column: 1])\n at [Source: org.elasticsearch.transport.netty4.ByteBufStreamInput@5a5932cd; line: 1, column: 3]"
  },
  "status": 500
}

bulk执行完成之后返回值如下所示,bulk操作中,任意一个操作失败,是不会影响其他的操作的,但是在返回结果里,会告诉你异常日志:

{
  "took": 41,
  "errors": true,
  "items": [
    {
      "delete": {
        "found": true,
        "_index": "test_index",
        "_type": "test_type",
        "_id": "10",
        "_version": 3,
        "result": "deleted",
        "_shards": {
          "total": 2,
          "successful": 1,
          "failed": 0
        },
        "status": 200
      }
    },
    {
      "create": {
        "_index": "test_index",
        "_type": "test_type",
        "_id": "3",
        "_version": 1,
        "result": "created",
        "_shards": {
          "total": 2,
          "successful": 1,
          "failed": 0
        },
        "created": true,
        "status": 201
      }
    },
    {
      "create": {
        "_index": "test_index",
        "_type": "test_type",
        "_id": "2",
        "status": 409,
        "error": {
          "type": "version_conflict_engine_exception",
          "reason": "[test_type][2]: version conflict, document already exists (current version [1])",
          "index_uuid": "6m0G7yx7R1KECWWGnfH1sw",
          "shard": "2",
          "index": "test_index"
        }
      }
    },
    {
      "index": {
        "_index": "test_index",
        "_type": "test_type",
        "_id": "4",
        "_version": 1,
        "result": "created",
        "_shards": {
          "total": 2,
          "successful": 1,
          "failed": 0
        },
        "created": true,
        "status": 201
      }
    },
    {
      "index": {
        "_index": "test_index",
        "_type": "test_type",
        "_id": "2",
        "_version": 2,
        "result": "updated",
        "_shards": {
          "total": 2,
          "successful": 1,
          "failed": 0
        },
        "created": false,
        "status": 200
      }
    },
    {
      "update": {
        "_index": "test_index",
        "_type": "test_type",
        "_id": "1",
        "_version": 3,
        "result": "updated",
        "_shards": {
          "total": 2,
          "successful": 1,
          "failed": 0
        },
        "status": 200
      }
    }
  ]
}

指定index写法如下:

POST /test_index/_bulk
{ "delete": { "_type": "test_type", "_id": "3" }} 
{ "create": { "_type": "test_type", "_id": "12" }}
{ "test_field":    "test12" }
{ "index":  { "_type": "test_type" }}
{ "test_field":    "auto-generate id test" }
{ "index":  { "_type": "test_type", "_id": "2" }}
{ "test_field":    "replaced test2" }
{ "update": { "_type": "test_type", "_id": "1", "_retry_on_conflict" : 3} }
{ "doc" : {"test_field2" : "bulk test1"} }

指定index和type写法如下:

POST /test_index/test_type/_bulk
{ "delete": { "_id": "3" }} 
{ "create": { "_id": "12" }}
{ "test_field":    "test12" }
{ "index":  { }}
{ "test_field":    "auto-generate id test" }
{ "index":  { "_id": "2" }}
{ "test_field":    "replaced test2" }
{ "update": { "_id": "1", "_retry_on_conflict" : 3} }
{ "doc" : {"test_field2" : "bulk test1"} }

2、bulk size最佳大小

bulk request会加载到内存里,如果太大的话,性能反而会下降,因此需要反复尝试一个最佳的bulk size。一般从1000~5000条数据开始,尝试逐渐增加。另外,如果看大小的话,最好是在5~15MB之间。


 

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转载自blog.csdn.net/Micheal_yang0319/article/details/105938768
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