shards_如何在elasticsearch中解决unassigned_shards？_删除couched中的shards文件夹 - 腾讯云开发者社区

报错现象 this action would add [1] total shards, but this cluster currently has [29998]/[3000] maximum shards...include_defaults&flat_settings 搜索：cluster.max_shards_per_node 图片根据集群情况，调整最大分片数大小，注意，这里调整的是单个节点最大分片数，...集群的最大总分片数需要用单节点最大分片数*节点数调整样例： Kibana方式： PUT _cluster/settings { "transient":{ "cluster.max_shards_per_node...curl -XPUT -H "Content-Type:application/json" --user user:password -d '{"persistent":{"cluster":{"max_shards_per_node

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ElasticSearch- 单节点 unassigned_shards 故障排查

{"message":"all shards failed: [search_phase_execution_exception] all shards failed","statusCode":503..." : 677, "active_shards" : 677, "relocating_shards" : 0, "initializing_shards" : 4, "unassigned_shards..." : 948, "delayed_unassigned_shards" : 0, "number_of_pending_tasks" : 5, "number_of_in_flight_fetch...} 从上面的 unassigned_shards 可以存在大量分片没有被分配，当时看到的实际有1000多个。...查询 UNASSIGNED 类型的索引名字 curl -XGET http://localhost:9200/_cat/shards 故障原因大概确定了，应该就是unassigned_shards导致的

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解决elasticsearch集群Unassigned Shards无法reroute的问题

4.修改number_of_replicas解决过程选取目标索引 applog-prod-2016.12.18 可以看到存在分片未分配状况： GET _cat/shards/applog-prod...2016.12.18": { "settings": { "index": { "refresh_interval": "5s", "number_of_shards...hmZfjW80Q-SeV_qha_r-EA", "version": { "created": "5000199" } } } } } 分片: GET _cat/shards...PUT applog-prod-2016.12.18/_settings { "index":{ "number_of_replicas":1 } } 分片情况： GET _cat/shards

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ElasticSearch排序引起的all shards failed异常原因分析

当用户去根据时间区间排序搜索日志信息的时候，ElasticSearch就会产生all shards failed异常。..."template": "alert", "settings": { "index": { "number_of_shards...此时，.alert这个索引为空，还没有新数据插入，因此，模板不会生效，也就致使该方法不会解决all shards failed的问题。...方法2：创建索引时添加mapping 由于ElasticSearch允许在创建索引时就创建mapping信息，于是我想到了这个方法，经过测试后，可以解决all shards failed的问题。...timestamp的mapping为date类型，因此，在搜索排序条件中增加{"timestamp":{"unmapped_type":"date"}}成功解决由于排序字段没有date映射引起的all shards

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Beats Dashboards 基础2

Cache-transactions: {"_index":".kibana","_type":"search","_id":"Cache-transactions","_version":1,"_shards...search DB-transactions: {"_index":".kibana","_type":"search","_id":"DB-transactions","_version":1,"_shards...Loading search HTTP-errors: {"_index":".kibana","_type":"search","_id":"HTTP-errors","_version":1,"_shards..._index":".kibana","_type":"search","_id":"MongoDB-transactions-with-write-concern-0","_version":1,"_shards...MySQL-Transactions: {"_index":".kibana","_type":"search","_id":"MySQL-Transactions","_version":1,"_shards

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tensorflow 在加载大型的embedding模型参数时，会遇到cannot be larger than 2GB

import numpy as np 5 6 input_ids = tf.placeholder(dtype=tf.int32, shape=[None,None]) 7 8 num_shards...== 0 12 num_shards_len = (weights_shape.shape[0]) / num_shards 13 assert (weights_shape.shape[0]) %...num_shards ==0 14 begin_ = 0 15 ends_ = num_shards_len 16 for i in range(0, num_shards): 17 if (...i + 1) * num_shards_len < weights_shape.shape[0]: 18 begin_ = i * num_shards_len 19 if..._ = (i + 1) * num_shards_len 23 else: 24 begin_ = i * num_shards_len 25 ends_ = weights_shape.shape

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线上 Elasticsearch 集群健康值 red 状态问题排查与解决

" : 663, "active_shards" : 663, "relocating_shards" : 0, "initializing_shards" : 0, "unassigned_shards..." : 6, "delayed_unassigned_shards" : 0, "number_of_pending_tasks" : 0, "number_of_in_flight_fetch..." : 0, "task_max_waiting_in_queue_millis" : 0, "active_shards_percent_as_number" : 99.10313901345292...": 660, "active_shards": 660, "relocating_shards": 0, "initializing_shards": 0, "unassigned_shards..."active_primary_shards": 0, "active_shards": 0, "relocating_shards": 0, "initializing_shards

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Elasticsearch 健康状态处理

RED: Some or all of (primary) shards are not ready....YELLOW: Elasticsearch has allocated all of the primary shards, but some/all of the replicas have not...Elasticsearch is able to allocate all shards and replicas to machines within the cluster....": 6, "active_shards": 12, "relocating_shards": 0, "initializing_shards": 0, "unassigned_shards...: 0, "task_max_waiting_in_queue_millis": 0, "active_shards_percent_as_number": 100 }

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Zabbix监控es集群状态

”: 15,#主分片数 “active_shards”: 15,#可用的分片数 “relocating_shards”: 0,#正在迁移的分片数 “initializing_shards”: 0,#正在初始化的分片数...“unassigned_shards”: 15, #未分配的分片，但在集群中存在 “delayed_unassigned_shards”: 0, #延时待分配到具体节点上的分片数 “number_of_pending_tasks...”: 0, #待处理的任务数，指主节点创建索引并分配shards等任务 “number_of_in_flight_fetch”: 0, “task_max_waiting_in_queue_millis...”: 0, “active_shards_percent_as_number”: 50 #可用分片数占总分片的比例 1.编写采集脚本获取集群状态 vim /monitor_es.py #encoding...","active_shards","relocating_shards","initializing_shards","unassigned_shards","delayed_unassigned_shards

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ES集群原理

# ES集群核心原理分析每个索引会被分成多个分片shards进行存储，默认创建索引是分配5个分片进行存储。每个分片都会分布式部署在多个不同的节点上进行部署，该分片成为primary shards。...注意：索引的主分片primary shards定义好后，后面不能做修改。...为了实现高可用数据的高可用，主分片可以有对应的备分片replics shards，replic shards分片承载了负责容错、以及请求的负载均衡。...主分片primary shards可以和其他replics shards存放在同一个node节点上。...路由算法：shard = hash(routing) % number_of_primary_shards 如果number_of_primary_shards在查询的时候取余发生的变化，无法获取到该数据

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Z投稿|Zabbix简单监控es实践

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Zabbix简单监控es实践

/usr/bin/env bash case $1 in active_primary_shards) result=`curl --user elastic:password...-s -XGET 192.168.0.1:9200/_cluster/health | jq .$1` echo $result ;; active_shards...s -XGET 192.168.0.1:9200/_cluster/health | jq .$1` echo $result ;; initializing_shards...-s -XGET 192.168.0.1:9200/_cluster/health | jq .$1` echo $result ;; relocating_shards...|active_shards|cluster_name|number_of_data_nodes|initializing_shards|number_of_nodes|relocating_shards

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CentOS6 mininal 安装CouchDB2 详细版

:load_shards_from_db/6(line:327) <= mem3_shards:load_shards_from_disk/1(line:315) <= mem3_shards:load_shards_from_disk...,load_shards_from_db,"_users",[{file,"src/mem3_shards.erl"},{line,327}]},{mem3_shards,load_shards_from_disk...:load_shards_from_db/6(line:327) <= mem3_shards:load_shards_from_disk/1(line:315) <= mem3_shards:load_shards_from_disk...,load_shards_from_db,"_users",[{file,"src/mem3_shards.erl"},{line,327}]},{mem3_shards,load_shards_from_disk...:load_shards_from_db/6(line:327) <= mem3_shards:load_shards_from_disk/1(line:315) <= mem3_shards:load_shards_from_disk

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介绍几个实际生产中常用的API

image.png 二、Split API 实践 Split API 在ES6环境下与ES7还有所不同，在ES6环境下，源索引在创建的时候必须要指定 "index.number_of_routing_shards...环境 ES 6.8.2 刚前面的文章说了，如果是ES6的环境，源索引必须具备“the number of routing shards”属性， image.png 如果不具备这个参数，在执行上面的..." : 3, //主分片数 "index.number_of_replicas": 0, "index.number_of_routing_shards" : 30...copy_settings=true { "settings": { "index.number_of_shards": 5 } } 报错如下： { "error": { "...} 我们可以使用GET _cat/shards/testserver-target，查看目标索引的分片分布 image.png 如果目标索引的个数大于30呢，我们看看是什么效果？

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修复Multisite下的reshard同步

incremental sync: 16/16 shards bucket is behind on 6 shards...incremental sync: 5/16 shards bucket is behind on 5 shards...shards behind shards: [26] oldest incremental change...incremental sync: 32/32 shards bucket is behind on 26 shards...behind shards: [2,3,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,25,26,27,29,30]

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es 7.2 生产集群 index 无数据写入故障定位

"timed_out" : false, "number_of_nodes" : 4, "number_of_data_nodes" : 4, "active_primary_shards..." : 2035, "active_shards" : 4070, "relocating_shards" : 0, "initializing_shards" : 0,..."unassigned_shards" : 0, "delayed_unassigned_shards" : 0, "number_of_pending_tasks" : 0,...type"=>"illegal_argument_exception", "reason"=>"Validation Failed: 1: this action would add [2] total shards..., but this cluster currently has [4000]/[4000] maximum shards open;"}}}} es 集群默认有分片限制最大 4000 ，导致 logstash

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Elasticsearch简单API调用

v&pretty' epoch timestamp cluster status node.total node.data shards pri relo init unassign...pending_tasks max_task_wait_time active_shards_percent 1516792174 19:09:34 elasticsearch yellow...pretty&pretty' { "acknowledged" : true, "shards_acknowledged" : true } #创建索引并添加文档 [root@localhost...index" : "test", "_type" : "external", "_id" : "1", "_version" : 1, "result" : "created", "_shards...type" : "external", "_id" : "AWEpYQSdAcj1E5z65ZJt", "_version" : 1, "result" : "created", "_shards

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ElasticSearch学习(三)——Windows集群部署

": 1, "active_shards": 1, "relocating_shards": 0, "initializing_shards": 0, "unassigned_shards...": 0, "task_max_waiting_in_queue_millis": 0, "active_shards_percent_as_number": 100.0 } 如此复制一份...": 1, "active_shards": 2, "relocating_shards": 0, "initializing_shards": 0, "unassigned_shards...": 1, "active_shards": 2, "relocating_shards": 0, "initializing_shards": 0, "unassigned_shards...": 0, "task_max_waiting_in_queue_millis": 43810, "active_shards_percent_as_number": 100.0 }

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如何将elastic search 的健康状态由红色red变为绿色green

“red”, “timed_out” : false, “number_of_nodes” : 1, “number_of_data_nodes” : 1, “active_primary_shards...” : 114, “active_shards” : 114, “relocating_shards” : 0, “initializing_shards” : 0, “unassigned_shards..." : 114, "active_shards" : 114, "relocating_shards" : 0, "initializing_shards" : 0, "unassigned_shards...查询所有unassigned的分片： curl -XGET 'http://localhost:9200/_cat/shards' | grep UNASSIGNED ?...Unassigned Shards大探讨：http://t.cn/RlwuVFn 4、快照&重新存储数据方案：http://t.cn/RlwuXmm

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索引单节点可分配分片数达到限制

异常现象通过执行 GET /_cluster/allocation/explain 查看当前索引分配详情"deciders": [{"decider": "shards_limit","decision...": "NO","explanation": "too many shards [1] allocated to this node for index [index-xxx], index setting...[index.routing.allocation.total_shards_per_node=1]"}]如果 decider 中返回 shards_limit，通常是由于配置了单节点可分配分片数达到上限而无法分配...排查流程执行 GET /{myIndex}/_settings 查看 index.routing.allocation.total_shards_per_node 配置的具体值，需要保证该值大于等于（（...如果该值小于会导致部分分片无法分配解决方案修改单节点可分配分片数大小大于（主分片数+副本分片数）/ 节点数，或-1（不限制数量）PUT /{myIndex}/_settings{ "index.routing.allocation.total_shards_per_node

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ES日志报错赏析-maximum shards open

ElasticSearch- 单节点 unassigned_shards 故障排查

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tensorflow 在加载大型的embedding模型参数时，会遇到cannot be larger than 2GB

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介绍几个实际生产中常用的API

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Elasticsearch简单API调用

ElasticSearch学习(三)——Windows集群部署

如何将elastic search 的健康状态由红色red变为绿色green

索引单节点可分配分片数达到限制

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