String key = String.format("DUKE_ATOMIC_ERR_NOTIFY_%d", System.currentTimeMillis() / 10_000); RedisAtomicLong redisAtomicLong = new RedisAtomicLong(key, redisTemplate.getConnectionFactory()); redisAtomicLong.expire(100, TimeUnit.SECONDS); long val = redisAtomicLong.getAndSet(1);解释getandset(v newvalue)的作用
时间: 2024-04-06 07:33:25 浏览: 96
`getAndSet(v)` 是 RedisAtomicLong 类的一个方法,它的作用是获取当前 RedisAtomicLong 实例的值,并设置一个新的值。具体地,该方法会执行以下操作:
1. 获取 RedisAtomicLong 实例的当前值。
2. 将 RedisAtomicLong 实例的值设置为 `newvalue`。
3. 返回 RedisAtomicLong 实例的原始值。
在你提供的代码中,`redisAtomicLong.getAndSet(1)` 的作用是获取 RedisAtomicLong 实例 `redisAtomicLong` 的当前值,并将其设置为 1。同时,它会返回 RedisAtomicLong 实例的原始值。这个方法常用于实现一些需要原子性操作的场景,例如实现分布式计数器。
相关问题
import networkx as nx import matplotlib.pyplot as plt # 输入数据 locations = [[125.330802,125.401931,125.326444,125.332284,125.322837,125.32563,125.334942,125.378548,125.386251,125.426883,125.42665,125.437111,125.453763,125.431396,125.430705,125.41968,125.437906,125.404171,125.385772,125.341942,125.341535,125.300812,125.307316,125.345642,125.331492,125.330322,125.284474,125.334851,125.30606,125.377211,125.381077,125.417041,125.41427,125.416371,125.432283,125.401676,125.403855,125.38582,125.426733,125.291], [43.917542,43.919075,43.905821,43.90266,43.900238,43.89703,43.888187,43.904508,43.892574,43.907904,43.896354,43.894605,43.889122,43.88774,43.882928,43.887149,43.8789,43.879647,43.883112,43.873763,43.861505,43.854652,43.876513,43.850479,43.833745,43.825044,43.812019,43.803154,43.793054,43.788869,43.824152,43.816805,43.801673,43.82893,43.83235,43.843713,43.854322,43.868372,43.871792,43.8306]] num_flights = 4 flight_capacity = [10, 10, 10, 10] # 将坐标转化为图 G = nx.Graph() for i in range(len(locations[0])): G.add_node(i+1, pos=(locations[0][i], locations[1][i])) for i in range(len(locations[0])): for j in range(i+1, len(locations[0])): dist = ((locations[0][i]-locations[0][j])**2 + (locations[1][i]-locations[1][j])**2)**0.5 G.add_edge(i+1, j+1, weight=dist) # 添加起点和终点 start_node = len(locations[0])+1 end_node = len(locations[0])+2 G.add_node(start_node, pos=(0, 0)) G.add_node(end_node, pos=(0, 0)) # 添加边和边权 for i in range(len(locations[0])): G.add_edge(start_node, i+1, weight=0) G.add_edge(i+1, end_node, weight=0) for f in range(num_flights): for i in range(len(locations[0])): G.add_edge(i+1, len(locations[0])+f*len(locations[0])+i+1, weight=0) G.add_edge(len(locations[0])+f*len(locations[0])+i+1, end_node, weight=0) # 添加航班容量的限制 for f in range(num_flights): for i in range(len(locations[0])): G.add_edge(len(locations[0])+f*len(locations[0])+i+1, len(locations[0])+f*len(locations[0])+len(locations[0])+1, weight=-flight_capacity[f]) #创造路径规划模型 path_model = nx.DiGraph() for i in range(len(locations[0])): for f in range(num_flights): for j in range(len(locations[0])): if i != j: path_model.add_edge(len(locations[0])+flen(locations[0])+i+1, len(locations[0])+flen(locations[0])+j+1, weight=G[i+1][j+1]['weight']G[len(locations[0])+flen(locations[0])+i+1][len(locations[0])+f*len(locations[0])+j+1]['weight'])找出错误
在代码中,有两个地方出现了错误:
1. 在第 47 行,需要修改为 `len(locations[0])+f*len(locations[0])+len(locations[0])+1`,因为这是连接每个航班的起点和终点的边。
2. 在第 54 行,需要将代码拆分成两行,因为这是两个不同的操作。正确的代码应该是:
```
path_model.add_edge(len(locations[0])+f*len(locations[0])+i+1, len(locations[0])+f*len(locations[0])+len(locations[0])+1, weight=-flight_capacity[f])
path_model.add_edge(len(locations[0])+f*len(locations[0])+i+1, len(locations[0])+f*len(locations[0])+len(locations[0])+j+1, weight=G[i+1][j+1]['weight'])
```
这样就能够运行正确了。
localhost:9200/bank/_bulk?pretty
<think>嗯,用户想用Elasticsearch的Bulk API向bank索引批量导入数据,需要具体参数和格式。首先,我得回忆一下Bulk API的基本用法。Bulk API允许通过一个HTTP请求执行多个索引、更新、删除操作,这样可以提高效率。
用户提到的bank索引,应该是已经存在的,所以需要确保索引的mapping正确。不过用户可能已经创建好了,所以重点在于数据导入的步骤。
Bulk API的请求体格式是每行一个操作描述,紧接着是数据行。比如,索引操作的话,第一行指定操作类型、索引名、文档ID,第二行是文档内容。例如:
{"index": {"_index": "bank", "_id": "1"}}
{"account_number": 1, "balance": 10000}
用户需要将数据按这个格式组织,每两行一个操作。然后通过curl或者Postman发送POST请求到_bulk端点。记得要使用正确的Content-Type头,即application/x-ndjson,因为Bulk API需要换行符分隔的JSON数据。
另外,用户提到localhost:9200和pretty格式,可能希望在URL中添加?pretty参数让返回结果更易读。不过Bulk API的响应是否pretty可能不影响数据导入,但加上也无妨。
还要注意,数据文件可能需要使用ndjson格式,也就是每行一个JSON对象。如果用户的数据是JSON数组,需要先转换成这种格式。例如,用jq工具处理。
然后,用户可能遇到的问题包括数据格式错误、路径不正确、索引不存在等。需要提醒用户检查这些方面,比如确保bank索引存在,文档字段符合mapping,以及正确的权限和网络设置,比如9200端口是否开放。
最后,给出一个完整的curl示例,包括如何从文件导入数据,以及可能的响应示例,帮助用户验证是否成功。同时,可以建议用户使用GET bank/_count来确认文档数量是否正确。</think>根据Elasticsearch批量数据导入需求,使用Bulk API的完整操作流程如下:
### 一、Bulk API基本格式要求
1. 每行指令使用换行符分隔
2. 操作指令与数据体成对出现
3. 支持JSON数组或换行分隔JSON(NDJSON)格式
### 二、具体操作步骤
1. 准备数据文件(bank_data.json):
```ndjson
{ "index" : { "_index" : "bank", "_id" : "1" } }
{ "account_number": 1, "balance": 39225, "firstname": "Amber", "lastname": "Duke" }
{ "index" : { "_index" : "bank", "_id" : "2" } }
{ "account_number": 2, "balance": 28838, "firstname": "Roberta", "lastname": "Bender" }
```
2. 执行批量导入命令:
```bash
curl -X POST "http://localhost:9200/bank/_bulk?pretty" \
-H "Content-Type: application/x-ndjson" \
--data-binary "@bank_data.json"
```
### 三、关键参数说明
| 参数 | 说明 | 示例值 |
|------|------|-------|
| _index | 目标索引名称 | bank |
| _id | 文档唯一标识 | 1 |
| pretty | 格式化响应结果 | true |
| refresh | 立即刷新可见性 | wait_for |
### 四、响应结果示例
```json
{
"took" : 30,
"errors" : false,
"items" : [
{
"index" : {
"_index" : "bank",
"_id" : "1",
"_version" : 1,
"result" : "created",
"status" : 201
}
},
{
"index" : {
"_index" : "bank",
"_id" : "2",
"_version" : 1,
"result" : "created",
"status" : 201
}
}
]
}
```
### 五、注意事项
1. 批量操作建议控制在5-15MB数据量/请求[^2]
2. 使用`--data-binary`而非`-d`保留换行符
3. 索引必须提前创建字段映射
4. HTTP头必须设置`Content-Type: application/x-ndjson`
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