常用Py3操作Elasticsearch方法
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Demo示例
from elasticsearch import Elasticsearch
# 设置连接Es
es_client = Elasticsearch(["host": "IP", "port": 9200])
系统操作
# 查看Es状态
print(es_client.cat.health())
# Output: 1654140714 11:31:54 TestEs yellow 1 1 620 620 0 0 620 0 - 50.0%
# 查看Es有哪些索引
print(es_client.cat.indices())
# Output:
yellow open user_info tJ_1DHJ7TjWdgZz9FSIvkg 1 1 9 1 183.6kb 183.6kb
yellow open test KkmiWv_yQ265u7qbg2Z0FA 5 1 1851 0 3mb 3mb
# 查看Es节点有哪些
print(es_client.cat.nodes())
# Output: 192.168.5.112 56 59 0 0.00 0.01 0.05 mdi * node-1
# 查看Es主节点
print(es_client.cat.master())
# Output: UTKLTopJQv-qC1CUPA2aSg 192.168.5.112 192.168.5.112 node-1
索引操作
# 删除索引
print(es_client.indices.delete(index="test"))
# Output: acknowledged: True
# 创建索引
body =
"mappings":
"_default_":
"properties":
"id":
"type": "integer"
,
"name":
"type": "text"
# 通过设置mapping来新建索引,当然body不指定的话默认使用的是Es自动推导的类型
print(es_client.indices.create(index="test", body=body))
# Output: acknowledged: True, shards_acknowledged: True
# 重建索引
body = "query": "match_all": #遍历原索引,可自定义query
print(helpers.reindex(client=es_client, source_index="test", target_index="new_test", target_client=es_client,
query=body))
# Output: (10, 10)
数据操作
增加操作
# 单条新增
print(es_client.index(index="test",
doc_type="user_info",
id=1,
body="name": "张三", "age": 35, "isChina": True, "hobby": ["唱歌", "跳舞"]))
# Output: _index: test, _type: user_info, _id: 1, _version: 1, result: created, _shards: total: 2, successful: 1, failed: 0, created: True
# 批量新增
action = [
"_index": "test",
"_type": "user_info",
"_id": "1",
"_source":
name: "李四",
age: 35,
isChina: True,
"hobby": ["唱歌", "跳舞"]
]
bulk_insert_res = helpers.bulk(client=es_client, actions=action, stats_only=True)
print(bulk_insert_res)
# Output: (1, 0)
删除操作
# 单条删除
print(es_client.delete(index=test, doc_type=user_info, id=1))
# Output: found: True, _index: test, _type: user_info, _id: 1, _version: 3, result: deleted, _shards: total: 2, successful: 1, failed: 0
# 删除指定条件数据, 批量删除
query =
"query":
"term": "age": 35
print(es_client.delete_by_query(index=test, doc_type=user_info, body=query))
# Output: took: 0, timed_out: False, total: 0, deleted: 1, batches: 0, version_conflicts: 0, noops: 0, retries: bulk: 0, search: 0, throttled_millis: 0, requests_per_second: -1.0, throttled_until_millis: 0, failures: []
修改操作
# 单条更新(注意:这里的更新对象中,需要有doc关键字作为key)
body =
"doc": "name": "张三-修改", "age": 35, "isChina": True, "hobby": ["唱歌", "跳舞"]
# print(es_client.update(index=test, doc_type=user_info, id="1",body=body))
# Output: _index: test, _type: user_info, _id: 1, _version: 3, result: updated, _shards: total: 2, successful: 1, failed: 0
# 批量更新带条件(注意:这里使用的是script更新,老版本的需要将inline换成source)
uBody =
# 查询条件
query:
term:
"age": 35
,
# 更新内容,第一种更新方式
script:
"inline": "ctx._source.name = params.name",
"params":
"name": "张三-script第一种修改"
,
print(es_client.update_by_query(index=test, doc_type=user_info, body=uBody))
# Output: took: 0, timed_out: False, total: 0, updated: 1, deleted: 0, batches: 0, version_conflicts: 0, noops: 0, retries: bulk: 0, search: 0, throttled_millis: 0, requests_per_second: -1.0, throttled_until_millis: 0, failures: []
# bulk批量更新
actions = [
"_op_type": "update", # 操作命令,这里为更新
"index": "test", # 数据的索引
"_id": "1", # 要更新的数据 _id
"doc":
"name": "bulk更新"
]
print(helpers.bulk(client=es_client, actions=actions, index="test", doc_type="user_info", raise_on_error=True))
# Output: (1, [])
查询操作
# 返回全部数据
print(es_client.search(index=test, doc_type=user_info))
# Output: took: 0, timed_out: False, _shards: total: 5, successful: 5, failed: 0, hits: total: 1, max_score: 1.0, hits: [_index: test, _type: user_info, _id: 1, _score: 1.0, _source: name: 李四, age: 35, isChina: True, hobby: [唱歌, 跳舞]]
# 条件查询(注意:这里变化的就是DSL语句)
queryBody =
query:
match_all:
print(es_client.search(index=test, doc_type=user_info, body=queryBody))
# Output: took: 0, timed_out: False, _shards: total: 5, successful: 5, failed: 0, hits: total: 1, max_score: 1.0, hits: [_index: test, _type: user_info, _id: 1, _score: 1.0, _source: name: 李四, age: 35, isChina: True, hobby: [唱歌, 跳舞]]
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