简单实例:批量curd操作
mget批量查询
bulk批量增删改
mget批量查询
一条一条的查询
GET /test_index/test_type/1
GET /test_index/test_type/2
mget批量查询
GET /_mget
{
"docs" : [
{
"_index" : "test_index",
"_type" : "test_type",
"_id" : 1
},
{
"_index" : "test_index",
"_type" : "test_type",
"_id" : 2
}
]
}
返回结果
{
"docs": [
{
"_index": "test_index",
"_type": "test_type",
"_id": "1",
"_version": 2,
"found": true,
"_source": {
"test_field1": "test field1",
"test_field2": "test field2"
}
},
{
"_index": "test_index",
"_type": "test_type",
"_id": "2",
"_version": 1,
"found": true,
"_source": {
"test_content": "my test"
}
}
]
}
如果查询的document是一个index下的不同type种的话
GET /test_index/_mget
{
"docs" : [
{
"_type" : "test_type",
"_id" : 1
},
{
"_type" : "test_type",
"_id" : 2
}
]
}
如果查询的数据都在同一个index下的同一个type下
GET /test_index/test_type/_mget
{
"ids": [1, 2]
}
bulk批量增删改
操作原型:
每一个操作要两个json串,语法如下:
{"action": {"metadata"}}
{"data"}
其中action有以下参数:
(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(文档已存在会报错)(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
实例:
{"index": {"_index": "test_index", "_type", "test_type", "_id": "1"}}
{"test_field1": "test1", "test_field2": "test2"}
注意metadata信息包括_index, _type,_id等
实例:
POST /_bulk
{ "delete": { "_index": "test_index", "_type": "test_type", "_id": "16" }}
{ "create": { "_index": "test_index", "_type": "test_type", "_id": "18" }}
{ "test_field":"test12" }
{ "index": { "_index": "test_index", "_type": "test_type", "_id": "2" }}
{ "test_field": "replaced test2" }
{ "update": { "_index": "test_index", "_type": "test_type", "_id": "11", "_retry_on_conflict" : 3} }
{ "doc" : {"test_field2" : "bulk test1"} }
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
返回成功结果:
{
"took": 97,
"errors": false,
"items": [
{
"delete": {
"found": true,
"_index": "test_index",
"_type": "test_type",
"_id": "16",
"_version": 2,
"result": "deleted",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"status": 200
}
},
{
"create": {
"_index": "test_index",
"_type": "test_type",
"_id": "18",
"_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": 11,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"created": false,
"status": 200
}
},
{
"update": {
"_index": "test_index",
"_type": "test_type",
"_id": "11",
"_version": 8,
"result": "noop",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"status": 200
}
}
]
}
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
异常错误日志,根据错误日志 进行相应处理:
{
"took": 31,
"errors": true,
"items": [
{
"delete": {
"found": false,
"_index": "test_index",
"_type": "test_type",
"_id": "16",
"_version": 2,
"result": "not_found",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"status": 404
}
},
{
"create": {
"_index": "test_index",
"_type": "test_type",
"_id": "18",
"status": 409,
"error": {
"type": "version_conflict_engine_exception",
"reason": "[test_type][18]: version conflict, document already exists (current version [1])",
"index_uuid": "cbDotlKxS7arKsfavEZgWQ",
"shard": "3",
"index": "test_index"
}
}
},
{
"index": {
"_index": "test_index",
"_type": "test_type",
"_id": "2",
"_version": 13,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"created": false,
"status": 200
}
},
{
"update": {
"_index": "test_index",
"_type": "test_type",
"_id": "11",
"_version": 8,
"result": "noop",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"status": 200
}
}
]
}
同一个index下操作
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"} }
同一个index,同一个type下操作
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"} }
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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