请问这些异常出现原因？怎么解决这个问题
tiup cluster display tidb-xxx看一下集群当前组件的状态
估计是oom killer一直在kill。
https://docs.pingcap.com/zh/tidb/v5.4/hybrid-deployment-topology
混合部署的参数需要做调整。文档中提到的参数都要计算调整一下。
top命令看看占用内存情况 按shift+m按内存排序 ，观察下什么组件占用内存很大
他一直在打印这些错误，我是按照配置文件配置的：
global:
2 user: tidb
3 ssh_port: 22
4 ssh_type: builtin
5 deploy_dir: /opt/soft/tidb/tidb-deploy
6 data_dir: /opt/soft/tidb/tidb-data
7 os: linux
8 monitored:
9 node_exporter_port: 9100
10 blackbox_exporter_port: 9115
11 deploy_dir: /opt/soft/tidb/tidb-deploy/monitor-9100
12 data_dir: /opt/soft/tidb/tidb-data/monitor-9100
13 log_dir: /opt/soft/tidb/tidb-deploy/monitor-9100/log
14 server_configs:
15 tidb:
16 log.file.max-backups: 7
17 log.level: error
18 log.slow-threshold: 300
19 tikv:
20 log.file.max-backups: 7
21 log.file.max-days: 7
22 log.level: error
23 raftstore.capacity: 10G
24 readpool.coprocessor.use-unified-pool: true
25 readpool.storage.use-unified-pool: true
26 storage.block-cache.capacity: 5G
27 storage.block-cache.shared: true
28 pd:
29 log.file.max-backups: 7
30 log.file.max-days: 1
31 log.level: error
32 replication.enable-placement-rules: true
33 replication.location-labels:
34 - host
35 tidb_dashboard: {}
36 tiflash:
37 logger.level: info
38 tiflash-learner: {}
39 pump: {}
40 drainer: {}
41 cdc: {}
42 kvcdc: {}
43 grafana: {}
44 tidb_servers:
45 - host: 192.168.103.30
46 ssh_port: 22
47 port: 4000
48 status_port: 10080
49 deploy_dir: /opt/soft/tidb/tidb-deploy/tidb-4000
50 log_dir: /opt/soft/tidb/tidb-deploy/tidb-4000/log
51 arch: amd64
52 os: linux
53 tikv_servers:
54 - host: 192.168.103.30
55 ssh_port: 22
56 port: 20160
57 status_port: 20180
58 deploy_dir: /opt/soft/tidb/tidb-deploy/tikv-20160
59 data_dir: /opt/soft/tidb/tidb-data/tikv-20160
log_dir: /opt/soft/tidb/tidb-deploy/tikv-20160/log
61 config:
62 server.labels:
63 host: logic-host-1
64 arch: amd64
65 os: linux
66 - host: 192.168.103.30
67 ssh_port: 22
68 port: 20161
69 status_port: 20181
70 deploy_dir: /opt/soft/tidb/tidb-deploy/tikv-20161
71 data_dir: /opt/soft/tidb/tidb-data/tikv-20161
72 log_dir: /opt/soft/tidb/tidb-deploy/tikv-20161/log
73 config:
74 server.labels:
75 host: logic-host-1
76 arch: amd64
77 os: linux
78 - host: 192.168.103.30
79 ssh_port: 22
80 port: 20162
81 status_port: 20182
82 deploy_dir: /opt/soft/tidb/tidb-deploy/tikv-20162
83 data_dir: /opt/soft/tidb/tidb-data/tikv-20162
84 log_dir: /opt/soft/tidb/tidb-deploy/tikv-20162/log
85 config:
86 server.labels:
87 host: logic-host-1
88 arch: amd64
89 os: linux
90 tiflash_servers: []
91 pd_servers:
92 - host: 192.168.103.30
93 ssh_port: 22
94 name: pd-192.168.103.30-2379
95 client_port: 2379
96 peer_port: 2380
97 deploy_dir: /opt/soft/tidb/tidb-deploy/pd-2379
98 data_dir: /opt/soft/tidb/tidb-data/pd-2379
99 log_dir: /opt/soft/tidb/tidb-deploy/pd-2379/log
100 arch: amd64
101 os: linux
102 monitoring_servers:
103 - host: 192.168.103.30
104 ssh_port: 22
105 port: 9090
106 ng_port: 12020
107 deploy_dir: /opt/soft/tidb/tidb-deploy/prometheus-9090
108 data_dir: /opt/soft/tidb/tidb-data/prometheus-9090
109 log_dir: /opt/soft/tidb/tidb-deploy/prometheus-9090/log
110 external_alertmanagers: []
111 arch: amd64
112 os: linux
113 grafana_servers:
114 - host: 192.168.103.30
115 ssh_port: 22
116 port: 3000
117 deploy_dir: /opt/soft/tidb/tidb-deploy/grafana-3000
118 arch: amd64
119 os: linux
120 username: admin
121 password: admin
122 anonymous_enable: false
123 root_url: ""
124 domain: ""
机器32G内存吗，storage.block-cache.capacity: 5G还是偏大，再调小点试试吧
直接先set tikv config storage.block-cache.capacity=3G;先让他别oom了，你设置5G，每个tikv能总内存能占到12G，你32G内存不够用会一直杀tikv
单机多节点混布，可以参考这个文档设置一下资源限制。
https://docs.pingcap.com/zh/tidb/stable/three-nodes-hybrid-deployment#三节点混合部署的最佳实践
限制不住的～ 
资源不足，多给点
啊？按文档设置之后也限制不住么？是不是新版本才能完美的资源隔离？
新版本是软控制了，有资源池的概念，所有的资源使用的情况，不会超过资源池的上限，会比较有效果
但是控制难度和易用性还不够，，只能等
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