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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ES Elasticsearch exception [type=search_phase_execution_exception, reason=all shards failed

org.elasticsearch.ElasticsearchStatusException: Elasticsearch exception [type=search_phase_execution_exception, reason=all shards...tAihAg8iQhqt4xAaCh8JHA", "index": "order_idx" }], "type": "search_phase_execution_exception", "reason": "all shards...failed", "phase": "query", "grouped": true, "failed_shards": [{ "shard": 0, "index": "order_idx

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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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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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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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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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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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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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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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Z投稿|Zabbix简单监控es实践

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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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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索引

elasticsearch","status":"green","timed_out":false,"number_of_nodes":3,"number_of_data_nodes":3, "active_primary_shards...":45,"active_shards":90,"relocating_shards":0,"initializing_shards":0,"unassigned_shards":0, "delayed_unassigned_shards...number_of_pending_tasks":0,"number_of_in_flight_fetch":0, "task_max_waiting_in_queue_millis":0,"active_shards_percent_as_number...是否支持索引其中 text keyword 是数据类型都属于 string类型但是 keywrod不支持倒排索引只支持精确查找创建成功返回消息 {"acknowledged":true,"shards_acknowledged

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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分片、副本与路由(shard replica routing)

默认情况下，索引数据的分片算法如下 shard_num = hash(_routing) % num_primary_shards routing字段的取值，默认是_id字段或者是_parent字段，这样的取值在...shards=5，replicas=1。...index.number_of_shards: 5 index.number_of_replicas: 1 对于一个索引来说，number_of_shards只能设置一次，而number_of_replicas...2）在nodes与shards较多的大规模集群中，在多个shards上查询出现failed的可能性较大，在master上合并后，对数据完整性并不能很好的确定，使用routing可以有效避免。...例如在total=64个shards的索引上查询，successful=60，failed=4，这时候对合并的数据，我们不能保证其是完整的。

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ES日志报错赏析-maximum shards open

ElasticSearch- 单节点 unassigned_shards 故障排查

解决elasticsearch集群Unassigned Shards无法reroute的问题

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

ES Elasticsearch exception [type=search_phase_execution_exception, reason=all shards failed

Beats Dashboards 基础2

线上 Elasticsearch 集群健康值 red 状态问题排查与解决

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

Elasticsearch 健康状态处理

ES集群原理

Zabbix监控es集群状态

Zabbix简单监控es实践

Z投稿|Zabbix简单监控es实践

CentOS6 mininal 安装CouchDB2 详细版

介绍几个实际生产中常用的API

修复Multisite下的reshard同步

Elasticsearch简单API调用

elasticsearch索引

es 7.2 生产集群 index 无数据写入故障定位

Elasticsearch分片、副本与路由(shard replica routing)

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