dangdang的扩展 sharding-jdbc实现动态数据源分库分表分页查询
# dangdang的分库分表扩展 sharding-jdbc
这段时间应公司需求需要分库查询数据,还好不是分表 研究了一下sharding-jdbc 我这里需求有点复杂,说是数据源不固定,随时添加一个数据源我就想到不能配置到项目文件中,就在业务库中新建一个表用来存储数据源的信息 用最原始的jdbc连接数据库的方式实现分库查询
# 封装的DBUtil
import com.dangdang.ddframe.rdb.sharding.api.rule.DataSourceRule;
import com.dangdang.ddframe.rdb.sharding.api.rule.ShardingRule;
import com.dangdang.ddframe.rdb.sharding.api.rule.TableRule;
import com.dangdang.ddframe.rdb.sharding.api.strategy.database.DatabaseShardingStrategy;
import com.dangdang.ddframe.rdb.sharding.api.strategy.table.TableShardingStrategy;
import com.dangdang.ddframe.rdb.sharding.jdbc.core.datasource.ShardingDataSource;
import com.maven.znly.entity.NewDataSource;
import org.apache.commons.dbcp.BasicDataSource;
import javax.sql.DataSource;
import java.sql.*;
import java.util.*;
/**
* @ClassName DBUtil
* @Description 为了方便建立数据库链接 只为查询封装
* @Author asus
* @Date Created by asus on 2018/11/1917:22
* @Version 1.0
**/
public class DBUtil {
public static Page getPage(List<NewDataSource> dataSourceList, String sql,PageRequest pageRequest){
ResultSet rs=null;
Connection conn=null;
List<Map<String, Object>> list = new ArrayList<>();
Integer pageNo=pageRequest.getPageNumber();//第几页
Integer pageSize=pageRequest.getPageSize();//一页几条
Integer count=0;
try {
Map<String, DataSource> dataSourceMap = createDataSourceMap(dataSourceList);
DataSourceRule dataSourceRule = new DataSourceRule(dataSourceMap);
TableRule[] tableRules=new TableRule[dataSourceList.size()];
for (int i = 0; i <dataSourceList.size() ; i++) {
TableRule tableRule = TableRule.builder("device_log").actualTables(Arrays.asList("device_log")).dataSourceRule(dataSourceRule).build();
tableRules[i]=tableRule;
}
List<TableRule> newTableRule=Arrays.asList(tableRules);
//TableRule orderTableRule = TableRule.builder("device_log").actualTables(Arrays.asList("device_log")).dataSourceRule(dataSourceRule).build();
ShardingRule shardingRule = ShardingRule.builder().dataSourceRule(dataSourceRule).tableRules(newTableRule)
.databaseShardingStrategy(new DatabaseShardingStrategy("create_time", new ModuloDatabaseShardingAlgorithm()))
.tableShardingStrategy(new TableShardingStrategy("create_time", new ModuloTableShardingAlgorithm())).build();
DataSource dataSource = new ShardingDataSource(shardingRule);
//2.获得数据库的连接
conn=dataSource.getConnection();
//构造一个statement对象来执行sql语句:主要有Statement,PreparedStatement,CallableStatement三种实例来实现
// stmt=conn.createStatement();
//获得总个数
String countSql = "select count(*) totalCount from (" + sql + " ) cout";
PreparedStatement pstmt = conn.prepareStatement(countSql);
rs=pstmt.executeQuery();
count=rs.getInt("totalCount");
StringBuilder sb = new StringBuilder("SELECT * FROM ");
sb.append("( ");
sb.append(sql);
sb.append(") A limit " + ( pageNo* pageSize) + "," + pageSize + "");
PreparedStatement pstmts = conn.prepareStatement(sb.toString());
rs=pstmts.executeQuery();
//PreparedStatement pstmt = conn.prepareStatement(sql);
//执行sql并返还结束 ;
ResultSetMetaData md = rs.getMetaData(); //获得结果集结构信息,元数据
int columnCount = md.getColumnCount(); //获得列数
while (rs.next()) {
Map<String,Object> rowData = new HashMap<>();
for (int i = 1; i <= columnCount; i++) {
rowData.put(md.getColumnName(i), rs.getObject(i));
}
list.add(rowData);
}
if(rs !=null){//11.关闭记录集
try{
rs.close();
} catch (SQLException e){
e.printStackTrace();
}
}
if(conn !=null){//13.关闭连接 (记住一定要先关闭前面的11.12.然后在关闭连接,就像关门一样,先关里面的,最后关最外面的)
try{
conn.close();
}catch(SQLException e){
e.printStackTrace();
}
}
}catch (Exception e){
e.printStackTrace();
}
return new MyPage(pageRequest, list, count);
}
//将获得的数据库与java的链接返回(返回的类型为Connection)
public static List<Map<String,Object>> getConnection(List<NewDataSource> dataSourceList, String sql){
ResultSet rs=null;
Connection conn=null;
List<Map<String, Object>> list = new ArrayList<>();
Integer count=0;
try {
Map<String, DataSource> dataSourceMap = createDataSourceMap(dataSourceList);
DataSourceRule dataSourceRule = new DataSourceRule(dataSourceMap);
TableRule[] tableRules=new TableRule[dataSourceList.size()];
for (int i = 0; i <dataSourceList.size() ; i++) {
TableRule tableRule = TableRule.builder("device_log").actualTables(Arrays.asList("device_log")).dataSourceRule(dataSourceRule).build();
tableRules[i]=tableRule;
}
List<TableRule> newTableRule=Arrays.asList(tableRules);
//TableRule orderTableRule = TableRule.builder("device_log").actualTables(Arrays.asList("device_log")).dataSourceRule(dataSourceRule).build();
ShardingRule shardingRule = ShardingRule.builder().dataSourceRule(dataSourceRule).tableRules(newTableRule)
.databaseShardingStrategy(new DatabaseShardingStrategy("create_time", new ModuloDatabaseShardingAlgorithm()))
.tableShardingStrategy(new TableShardingStrategy("create_time", new ModuloTableShardingAlgorithm())).build();
DataSource dataSource = new ShardingDataSource(shardingRule);
//2.获得数据库的连接
conn=dataSource.getConnection();
PreparedStatement pstmt = conn.prepareStatement(sql);
rs=pstmt.executeQuery();
ResultSetMetaData md = rs.getMetaData(); //获得结果集结构信息,元数据
int columnCount = md.getColumnCount(); //获得列数
while (rs.next()) {
Map<String,Object> rowData = new HashMap<>();
for (int i = 1; i <= columnCount; i++) {
rowData.put(md.getColumnName(i), rs.getObject(i));
}
list.add(rowData);
}
if(rs !=null){//11.关闭记录集
try{
rs.close();
} catch (SQLException e){
e.printStackTrace();
}
}
if(conn !=null){//13.关闭连接 (记住一定要先关闭前面的11.12.然后在关闭连接,就像关门一样,先关里面的,最后关最外面的)
try{
conn.close();
}catch(SQLException e){
e.printStackTrace();
}
}
}catch (Exception e){
e.printStackTrace();
}
return list;
}
private static DataSource createDataSource(NewDataSource dataSource) {
BasicDataSource result = new BasicDataSource();
result.setDriverClassName("com.mysql.jdbc.Driver");
String URL="jdbc:mysql://"+dataSource.getDataIp()+":"+dataSource.getDataCode()+"/"+dataSource.getDataDbName()+"?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=CONVERT_TO_NULL&autoReconnect=true&useSSL=false&serverTimezone=GMT%2B8";
result.setUrl(URL);
result.setUsername(dataSource.getDataUserName());
result.setPassword(dataSource.getDataUserPassword());
return result;
}
private static Map<String, DataSource> createDataSourceMap(List<NewDataSource> dataSourceList) {
Map<String, DataSource> mapList = new HashMap<>();
for (int i = 0; i < dataSourceList.size(); i++) {
NewDataSource dataSource=dataSourceList.get(i);
DataSource dataSource1=createDataSource(dataSource);
mapList.put(dataSource.getDataDbName(),dataSource1);
}
return mapList;
}
static class MyPage implements Page {
private PageRequest pageRequest;
private List<Map<String, Object>> objectList;
private int total;
public MyPage(PageRequest pageRequest, List<Map<String,Object>> objectList, int total) {
this.pageRequest = pageRequest;
this.objectList = objectList;
this.total = total;
}
@Override
public int getNumber() {
return pageRequest.getPageNumber();
}
@Override
public int getSize() {
return pageRequest.getPageSize();
}
@Override
public int getTotalPages() {
if (total % pageRequest.getPageSize() == 0) {
return total/pageRequest.getPageSize();
} else {
return total/pageRequest.getPageSize()+1;
}
}
@Override
public int getNumberOfElements() {
return 0;
}
@Override
public long getTotalElements() {
return this.total;
}
@Override
public Page map(Converter converter) {
return null;
}
@Override
public Iterator<Map<String,Object>> iterator() {
return objectList.iterator();
}
@Override
public List<Map<String,Object>> getContent() {
return objectList;
}
@Override
public boolean hasContent() {
return objectList!=null&&objectList.size()>0;
}
@Override
public Sort getSort() {
return null;
}
@Override
public boolean isFirst() {
return pageRequest.getPageNumber() == 0;
}
@Override
public boolean isLast() {
return pageRequest.getPageNumber()==getTotalPages()-1;
}
@Override
public boolean hasNext() {
return pageRequest.getPageNumber()<getTotalPages()-1;
}
@Override
public boolean hasPrevious() {
return pageRequest.getPageNumber() >0;
}
@Override
public Pageable nextPageable() {
return null;
}
@Override
public Pageable previousPageable() {
return null;
}
}
}
因为我需要分页所以这里就再次封装一个
# ModuloDatabaseShardingAlgorithm
import com.dangdang.ddframe.rdb.sharding.api.ShardingValue;
import com.dangdang.ddframe.rdb.sharding.api.strategy.database.SingleKeyDatabaseShardingAlgorithm;
import com.google.common.collect.Range;
import java.util.Collection;
import java.util.LinkedHashSet;
/**
* @ClassName ModuloDatabaseShardingAlgorithm
* @Description TODO
* @Author asus
* @Date Created by asus on 2018/12/1012:10
* @Version 1.0
**/
public class ModuloDatabaseShardingAlgorithm implements SingleKeyDatabaseShardingAlgorithm<Integer>{
@Override
public String doEqualSharding(Collection<String> collection, ShardingValue<Integer> shardingValue) {
for (String each : collection) {
if (each.endsWith(shardingValue.getValue() % 2 + "")) {
return each;
}
}
throw new IllegalArgumentException();
}
@Override
public Collection<String> doInSharding(Collection<String> collection, ShardingValue<Integer> shardingValue) {
Collection<String> result = new LinkedHashSet<>(collection.size());
for (Integer value : shardingValue.getValues()) {
for (String tableName : collection) {
if (tableName.endsWith(value % 2 + "")) {
result.add(tableName);
}
}
}
return result;
}
@Override
public Collection<String> doBetweenSharding(Collection<String> collection, ShardingValue<Integer> shardingValue) {
Collection<String> result = new LinkedHashSet<>(collection.size());
Range<Integer> range = (Range<Integer>) shardingValue.getValueRange();
for (Integer i = range.lowerEndpoint(); i <= range.upperEndpoint(); i++) {
for (String each : collection) {
if (each.endsWith(i % 2 + "")) {
result.add(each);
}
}
}
return result;
}
}
# ModuloTableShardingAlgorithm
import com.dangdang.ddframe.rdb.sharding.api.ShardingValue;
import com.dangdang.ddframe.rdb.sharding.api.strategy.table.SingleKeyTableShardingAlgorithm;
import com.google.common.collect.Range;
import java.util.Collection;
import java.util.LinkedHashSet;
/**
* @ClassName ModuloTableShardingAlgorithm
* @Description TODO
* @Author asus
* @Date Created by asus on 2018/12/1012:13
* @Version 1.0
**/
public class ModuloTableShardingAlgorithm implements SingleKeyTableShardingAlgorithm<Integer> {
@Override
public String doEqualSharding(Collection<String> collection, ShardingValue<Integer> shardingValue) {
for (String each : collection) {
if (each.endsWith(shardingValue.getValue() % 2 + "")) {
return each;
}
}
throw new IllegalArgumentException();
}
@Override
public Collection<String> doInSharding(Collection<String> collection, ShardingValue<Integer> shardingValue) {
Collection<String> result = new LinkedHashSet<>(collection.size());
for (Integer value : shardingValue.getValues()) {
for (String tableName : collection) {
if (tableName.endsWith(value % 2 + "")) {
result.add(tableName);
}
}
}
return result;
}
@Override
public Collection<String> doBetweenSharding(Collection<String> collection, ShardingValue<Integer> shardingValue) {
Collection<String> result = new LinkedHashSet<>(collection.size());
Range<Integer> range = (Range<Integer>) shardingValue.getValueRange();
for (Integer i = range.lowerEndpoint(); i <= range.upperEndpoint(); i++) {
for (String each : collection) {
if (each.endsWith(i % 2 + "")) {
result.add(each);
}
}
}
return result;
}
}
我把table的也给贴出来了 引用的时候 先查出动态的数据源信息 dataSourceList和编写好sql
List<Map<String, Object>> mapList=DBUtil.getConnection(dataSourceList,sql);
就可以得到查出的map集合,下面是我封装的分页 pageRequest就是这样来的 分页调用
Page<Map<String,Object>> pageInfo = DBUtil.getPage(dataSourceList,sql,pageRequest);
到此动态数据源分库分页查询就结束了
上次更新: 2022/12/05, 09:12:57