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Build a high-availability cluster in CentOS 7
This article uses two machines to implement dual-collector for high-availability clusters. the IP address of the Host Name node1 is 192.168.123168, And the IP address of the Host Name node2 is 192.168.123169.1. Install
Build a high-availability cluster in CentOS 7
This article uses two machines to implement dual-collector for high-availability clusters. the IP address of the Host Name node1 is 192.168.123168, And the IP address of the Host Name node2 is 192.168.123169.1. Install
-P8066 Vi. Test 1, the client can see the XXY database created earlier2. Verifying load Balancing#从服务器关闭同步
stop slave;
#主服务器添加内容
insert into zang values(‘1‘,‘zhang‘,‘this_is_master‘);
#从服务器则不会同步添加的内容
#在两台从上分别添加如下内容
Slave1:
use xxy;
insert into zang values(‘2‘,‘zhang‘,‘this_is_slave1‘);
Slave2:
use xxy;
insert into zang values(‘3‘,‘zhang‘,‘this_is_slave2‘);
#在客户端上测试----第一次会向从服务器1读数据-第二次会各从2读取
select * from zang; MasterSlave1Slave2Client3. Verify read/write separation#在通过客户端连接数据库后写入的数据只有主会记录,然后同步
, so its probability equals 100%.This loop structure allows us to use a small number of user connections to obtain a larger request per second.Once you have a good understanding of them, you can create a convenient alias to quickly observe the Tsung report.Vim ~/.BASHRCAlias treport= "/usr/lib/tsung/bin/tsung_stats.pl; Firefox report.html "SOURCE ~/.BASHRCand start Tsung.[Root@loadnode1 ~] Tsung StartStarting Tsung"Log directory is:/root/.tsung/log/20120421-1004"After the end of the observation
This article is the first part of the Linux High-Performance cluster series. This section introduces the basic knowledge of the cluster system and explains two main types of clusters: high-availability clusters and high-
the master node, using the service can still provide services, and do not use service termination, here we should prepare two nodes different Web page content to distinguish, testing when we put one of the other Web services to terminate, we can see the effect, The heaetbeat automatically switches to a node that is not functioning properly and provides service intermittently.Error handling (/var/log/ha-log):heartbeat[4294]: 2016/04/14_19:11:53 ERROR:should_drop_message:attempted replay attack [
Parallel Programming in. Net-7. High-Performance asynchronous queue and High-Performance Parallel Computing Based on BlockingCollection
Based onConcurrentQueueThe asynchronous queue of. Today, we found another implementation method-BlockingCollection implementation, which is
time when a node fails, and transfer the server to a normal node for execution.
Disable the service of the web2 node. If the node fails, the logs of the master and slave nodes are as follows:
As can be seen from the above, the keepalived monitoring module detects the failure of the host 192.168.10.5 and removes web2 from the cluster system. Access http: // 10.0.0.227 and only web1 is displayed)
Restart the service on the web2 node. The
the virtual IP address to the etho device.
The log status of the CentOS-LVS_MASTER after the keepalived service on the CentOS-LVS_BACKUP is turned on.
The log shows that after the slave detects that the host is restored to normal, the virtual IP resource is released and becomes the backup role again.
#### Failover test ####
Failover is to test whether the keepalived monitoring module can detect
Tags: c4c com own version resources background massive data LSE OCAWhat is a shard?High data volume and throughput of the database application will be more pressure on the performance of the single machine, large query volume will be a single CPU exhausted, large amount of data on the single-machine storage pressure, and eventually will exhaust the system's memory and transfer the pressure to disk IO.MongoD
been an optional language in the construction of cluster monitoring and management. However, the Java language is typically used only in the front-end or cluster host portions of the system, and the daemon, written in C, is installed on the cluster node. Although the Java programming language offers many advantages, for high
Percona xtradb Cluster (PXC) is the choice of many enterprises based on MySQL to implement the cluster scheme. PXC it supports high availability of services, data synchronization replication (concurrent replication), almost no latency, multiple simultaneous read and write nodes, write extensions, and so on. Before finishing a article Pxc 5.6, this article is base
language when constructing Cluster Monitoring and Management. However, Java is usually used only for the front-end or cluster host of the system, and the daemon process written in C language is installed on the cluster node. Although the Java programming language provides many advantages, can Java effectively replace the C-Language Daemon Running on each node fo
127.0.0.1:9001:ok Connecting to Node 127.0.0.1:9002:ok Connecting to Node 127.0.0.1:9003:ok >>> sending CLUSTER forget messages to the CLUSTER ... >>> SHUTDOWN the node. Zhaoguihuadediannao:src zhaogh$./redis-cli-p 9003 Could not connect to Redis at 127.0.0.1:9003:connection refused Not connected> Very good, it ' s very good. The previous article said that the C # client is not yet well supported for Redis
Cluster technology is an important means of building high-performance Web site architecture, Imagine that the site under high concurrency access pressure, but also need to query from the massive data to meet the conditions of the data, and rapid response, we must think of the data is sliced, the data according to some
localhost;############## Current service domain location/{ Proxy_pass http://netitcast.com; Proxy_redirect default; } Error_page 502 503 504 /50x.html; Location =/50x.html { root html;}} }The core configuration is as follows: With this configuration complete, the following starts to demonstrate load balancing.7, first, we start Nginx: 8, then we can enter: localhost/index.jsp View Healt
it is determined that master has failed, then more than one backup will be elected, the highest priority of the backup to become the new master, This kind of election and role switching process is very fast, thus ensuring the continuous availability of services.Iv. workingprinciple of keepalivedThe previous section briefly describes how keepalived works with high-availability features through VRRP, and keepalived as a
shared, and Drdb are replicated through the network between servers. Features: complex, with a brain fissure problem that can achieve 99.9 SLAMYSQL Cluster High-availability solution: MySQL cluster consists of a set of service nodes, each service node is running a variety of processes, including MYSQL server, NDB Cluster
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