Installation Environment Vmware Workstation pro It is recommended to use the snapshot to store the state of each installation stage to avoid installation failures and causing the installation to start from scratch. Ubuntu 22.04 windows 11 Hardware settings create 3 VM: 4 cores and 4G memory and 100G capacity Before installing K8s (All use the root user) set host: 192.168.47.135 master 192.168.47.131 node1 192.168.47.132 node2 set root ssh connection: sudo su - echo "PermitRootLogin yes" >> /etc/ssh/sshd_config systemctl restart sshd sudo passwd ssh-keygen for i in {master,node1,node2}; do ssh-copy-id root@$i; done set Ipvs and conf create conf file: for i in {master,node1,node2}; do ssh root@$i 'cat << EOF > /etc/modules-load.d/containerd.conf overlay br_netfilter EOF'; done execute conf: for i in {master,node1,node2}; do ssh root@$i 'modprobe overlay;modprobe br_netfilter;'; done create 99-kubernetes-cri.conf file: for i in {maste...
ShardingSphere
The distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database.
ShardingJDBC
ShardingSphere-JDBC is a lightweight Java framework that provides additional services at Java’s JDBC layer.
ShardingProxy
ShardingSphere-Proxy is a transparent database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages.
Core Concept
1. Virtual Database
Provides a virtual database with sharding capabilities, allowing applications to be easily used as a single database
2. Real Database
The database that stores real data in the shardingShereDatasource instance for use by ShardingSphere
3. Logic Table
Tables used by the application
4. Real Table
In the table that stores real data, the data structure is the same as the logical table. The application maintains the mapping between the logical table and the real table. All real tables map to ShardingSphere's virtual tables.
5. Distributed primary key algorithm
To create logical table primary keys, ShardingSphere integrates a variety of distributed primary key algorithms and supports the application of custom primary key algorithms.
6. Sharding Strategy
Including the shard key and shard algorithm, the shard key is the vital part of the horizontal shard, without the shard key the ShardingSphere will scan all the tables and lower the performance.
The shard algorithm will find the mapping of the real table by the shard key
Shard Algorithm
1. Inline
2. Standard
3. Complex_inline
4. CLASS_BASED, Custom shard algorithm
5. Hint_inline
The core module of database adaptors
1. SQL Parser
It is divided into the lexical parser and syntactic parser. SQL is first split into indivisible words through a lexical parser.
The syntactic parser is then used to analyze SQL and ultimately extract the parsing context, which can include tables, options, ordering items, grouping items, aggregation functions, pagination information, query conditions, and placeholders that may be modified.
2. SQL Route
The sharding strategy configured by the user is matched according to the parsing context and the routing path is generated. Currently, sharding routers and broadcast routers are supported.
3. SQL Rewriter
Rewrite SQL into statements that can be executed correctly in a real database. SQL rewriting is divided into rewriting for correctness and rewriting for optimization.
4. SQL Executor
It executes asynchronously through a multithreaded executor, focusing more on database connection and memory usage.
5. Result Merger
It merges multiple execution result sets to achieve output through the unified JDBC interface. The resulting merger includes the stream merger, memory merger, and appended merger using decorator mode.
Distributed transactions
ShardingSphere provides a variety of distributed transactions such as XA and SEATA.
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