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由于公司zabbix的历史数据存储在elasticsearch中，有个需求是尽可能地把监控的历史数据存储的长一点，最好是一年，目前的情况是三台ES节点，每天监控历史数据量有5G，目前最多可存储一个月的数据，超过30天的会被定时删除，每台内存分了8G，且全部使用机械硬盘，主分片为5，副本分片为1，查询需求一般只获取一周的历史数据，偶尔会有查一个月到两个月历史数据的需求。
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为了让ES能存储更长的历史数据，以及考虑到后续监控项添加导致数据的增长，我将节点数量增加至4节点，并将部分节点内存提高，部分节点采用SSD存储
192.168.179.133 200GSSD 4G内存 tag:hot node.name=es1
192.168.179.134 200GSSD 4G内存 tag:hot node.name=es2
192.168.179.135 1THDD 32G内存 tag:cold node.name=es3 node.master=false
192.168.179.136 1THDD 32G内存 tag:cold node.name=es4 node.master=false对数据mapping重新建模，对str类型的数据不进行分词，采用冷热节点对数据进行存储，前七天数据的索引分片设计为2主1副，索引存储在热节点上，超过七天的数据将被存储在冷节点，超过30天的索引分片设置为2主0副本，ES提供了一个shrink的api来进行压缩。由于ES是基于Lucene的搜索引擎，Lucene的索引由多个segment组成，每一个段都会消耗文件句柄，内存和CPU运行周期，段数量过多会使资源消耗变大，搜索也会变慢，这里我将前一天的索引分片强制合并为1个segment，修改refresh的时间间隔至60s，减少段的产生频率。对超过3个月的索引进行关闭。以上操作均使用ES的管理工具curator来定时执行。
ES地址填写集群中任意一个节点就可以
HistoryStorageURL=192.168.179.133:9200
HistoryStorageTypes=str,text,log,uint,dbl
HistoryStorageDateIndex=1global $DB, $HISTORY;
$HISTORY['url'] = 'http://192.168.179.133:9200';
// Value types stored in Elasticsearch.
$HISTORY['types'] = ['str', 'text', 'log','uint','dbl'];
vim elasticsearch.yml
热节点配置
node.attr.box_type=hot冷节点配置
node.attr.box_type=cold每种数据类型的模板都需要创建，可以根据elasticsearch.map文件来获取api的信息，模板定义内容有匹配的索引，主副分片数设置，refresh间隔，新建索引分配节点设置以及mapping的设置，这里我只是以uint和str数据的索引为例
PUT _template/uint_template
{
"template": "uint*",
"index_patterns": ["uint*"],
"settings" : {
"index" : {
"routing.allocation.require.box_type": "hot",
"refresh_interval": "60s",
"number_of_replicas" : 1,
"number_of_shards" : 2
}
},
"mappings" : {
"values" : {
"properties" : {
"itemid" : {
"type" : "long"
},
"clock" : {
"format" : "epoch_second",
"type" : "date"
},
"value" : {
"type" : "long"
}
}
}
}
}
PUT _template/str_template
{
"template": "str*",
"index_patterns": ["str*"],
"settings" : {
"index" : {
"routing.allocation.require.box_type": "hot",
"refresh_interval": "60s",
"number_of_replicas" : 1,
"number_of_shards" : 2
}
},
"mappings" : {
"values" : {
"properties" : {
"itemid" : {
"type" : "long"
},
"clock" : {
"format" : "epoch_second",
"type" : "date"
},
"value" : {
"index" : false,
"type" : "keyword"
}
}
}
}
}定义管道的作用是对写入索引之前的数据进行预处理，使其按天产生索引。
PUT _ingest/pipeline/uint-pipeline
{
"description": "daily uint index naming",
"processors": [
{
"date_index_name": {
"field": "clock",
"date_formats": ["UNIX"],
"index_name_prefix": "uint-",
"date_rounding": "d"
}
}
]
}
PUT _ingest/pipeline/str-pipeline
{
"description": "daily str index naming",
"processors": [
{
"date_index_name": {
"field": "clock",
"date_formats": ["UNIX"],
"index_name_prefix": "str-",
"date_rounding": "d"
}
}
]
}4.修改完成后重启zabbix,并查看zabbix是否有数据
systemctl restart zabbix-servercurator官方文档地址如下
https://www.elastic.co/guide/en/elasticsearch/client/curator/5.8/installation.html
pip install -U elasticsearch-curatormkdir /root/.curator
vim /root/.curator/curator.yml
---
client:
hosts:
- 192.168.179.133
- 192.168.179.134
port: 9200
url_prefix:
use_ssl: False
certificate:
client_cert:
client_key:
ssl_no_validate: False
http_auth:
timeout: 30
master_only: False
logging:
loglevel: INFO
logfile:
logformat: default
blacklist: ['elasticsearch', 'urllib3']将7天以前的索引分配到冷节点
1:
action: allocation
description: "Apply shard allocation filtering rules to the specified indices"
options:
key: box_type
value: cold
allocation_type: require
wait_for_completion: true
timeout_override:
continue_if_exception: false
disable_action: false
filters:
- filtertype: pattern
kind: regex
value: '^(uint-|dbl-|str-).*$'
- filtertype: age
source: name
direction: older
timestring: '%Y-%m-%d'
unit: days
unit_count: 7将前一天的索引强制合并，每个分片1个segment。
2:
action: forcemerge
description: "Perform a forceMerge on selected indices to 'max_num_segments' per shard"
options:
max_num_segments: 1
delay:
timeout_override: 21600
continue_if_exception: false
disable_action: false
filters:
- filtertype: pattern
kind: regex
value: '^(uint-|dbl-|str-).*$'
- filtertype: age
source: name
direction: older
timestring: '%Y-%m-%d'
unit: days
unit_count: 1超过30天的索引将主分片数量修改为2，副本分片为0，执行shrink操作的节点不能作为master节点
3:
action: shrink
description: "Change the number of primary shards to one, and the copy shards to 0"
options:
ignore_empty_list: True
shrink_node: DETERMINISTIC
node_filters:
permit_masters: False
exclude_nodes: ['es1','es2']
number_of_shards: 2
number_of_replicas: 0
shrink_prefix:
shrink_suffix: '-shrink'
delete_after: True
post_allocation:
allocation_type: include
key: box_type
value: cold
wait_for_active_shards: 1
extra_settings:
settings:
index.codec: best_compression
wait_for_completion: True
wait_for_rebalance: True
wait_interval: 9
max_wait: -1
filters:
- filtertype: pattern
kind: regex
value: '^(uint-|dbl-|str-).*$'
- filtertype: age
source: name
direction: older
timestring: '%Y-%m-%d'
unit: days
unit_count: 30对超过3个月的索引进行关闭
4:
action: close
description: "Close selected indices"
options:
delete_aliases: false
skip_flush: false
ignore_sync_failures: false
filters:
- filtertype: pattern
kind: regex
value: '^(uint-|dbl-|str-).*$'
- filtertype: age
source: name
direction: older
timestring: '%Y-%m-%d'
unit: days
unit_count: 90超过一年的索引进行删除
5:
action: delete_indices
description: "Delete selected indices"
options:
continue_if_exception: False
filters:
- filtertype: pattern
kind: regex
value: '^(uint-|dbl-|str-).*$'
- filtertype: age
source: name
direction: older
timestring: '%Y-%m-%d'
unit: days
unit_count: 365curator action.yml
crontab -e
10 0 * * * curator /root/action.yml
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