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這篇文章主要介紹“sharding-jdbc路由的原理及應(yīng)用”,在日常操作中,相信很多人在sharding-jdbc路由的原理及應(yīng)用問題上存在疑惑,小編查閱了各式資料,整理出簡單好用的操作方法,希望對大家解答”sharding-jdbc路由的原理及應(yīng)用”的疑惑有所幫助!接下來,請跟著小編一起來學習吧!
路由引擎主要分為兩大類:
分片路由(直接路由、標準路由、笛卡爾積路由)
廣播路由(全庫表路由、全庫路由、全實例路由、單播路由、阻斷路由)
具體路由類型含義參考官網(wǎng)路由引擎
https://shardingsphere.apache.org/document/current/cn/features/sharding/principle/route/
主要分析查詢路由
1.路由ParsingSQLRouter#route入口
@RequiredArgsConstructor public final class ParsingSQLRouter implements ShardingRouter { @Override public SQLRouteResult route(final SQLStatement sqlStatement, final List<Object> parameters) { //優(yōu)化,處理條件占位符參數(shù)與真實數(shù)據(jù)、分頁、group by etc. OptimizedStatement optimizedStatement = OptimizeEngineFactory.newInstance(shardingRule, shardingMetaData.getTable(), sqlStatement, parameters).optimize(); boolean needMergeShardingValues = isNeedMergeShardingValues(sqlStatement); if (optimizedStatement instanceof ShardingWhereOptimizedStatement && needMergeShardingValues) { checkSubqueryShardingValues(sqlStatement, ((ShardingWhereOptimizedStatement) optimizedStatement).getShardingConditions()); mergeShardingConditions(((ShardingWhereOptimizedStatement) optimizedStatement).getShardingConditions()); } //路由入口 RoutingResult routingResult = RoutingEngineFactory.newInstance(shardingRule, shardingMetaData.getDataSource(), optimizedStatement).route(); if (needMergeShardingValues) { Preconditions.checkState(1 == routingResult.getRoutingUnits().size(), "Must have one sharding with subquery."); } if (optimizedStatement instanceof ShardingInsertOptimizedStatement) { setGeneratedValues((ShardingInsertOptimizedStatement) optimizedStatement); } SQLRouteResult result = new SQLRouteResult(optimizedStatement); result.setRoutingResult(routingResult); return result; } ... ... }
2.路由工廠并路由RoutingEngineFactory#route
@NoArgsConstructor(access = AccessLevel.PRIVATE) public final class RoutingEngineFactory { /** * Create new instance of routing engine. * * @param shardingRule sharding rule * @param shardingDataSourceMetaData sharding data source meta data * @param optimizedStatement optimized statement * @return new instance of routing engine */ public static RoutingEngine newInstance(final ShardingRule shardingRule, final ShardingDataSourceMetaData shardingDataSourceMetaData, final OptimizedStatement optimizedStatement) { SQLStatement sqlStatement = optimizedStatement.getSQLStatement(); Collection<String> tableNames = sqlStatement.getTables().getTableNames(); //全庫路由 if (sqlStatement instanceof TCLStatement) { return new DatabaseBroadcastRoutingEngine(shardingRule); } //全庫表路由 if (sqlStatement instanceof DDLStatement) { return new TableBroadcastRoutingEngine(shardingRule, optimizedStatement); } //阻斷路由 if (sqlStatement instanceof DALStatement) { return getDALRoutingEngine(shardingRule, sqlStatement, tableNames); } //全實例路由 if (sqlStatement instanceof DCLStatement) { return getDCLRoutingEngine(shardingRule, optimizedStatement, shardingDataSourceMetaData); } //默認庫路由 if (shardingRule.isAllInDefaultDataSource(tableNames)) { return new DefaultDatabaseRoutingEngine(shardingRule, tableNames); } //全庫路由 if (shardingRule.isAllBroadcastTables(tableNames)) { return sqlStatement instanceof SelectStatement ? new UnicastRoutingEngine(shardingRule, tableNames) : new DatabaseBroadcastRoutingEngine(shardingRule); } //單播路由 if (optimizedStatement instanceof ShardingWhereOptimizedStatement && ((ShardingWhereOptimizedStatement) optimizedStatement).getShardingConditions().isAlwaysFalse() || tableNames.isEmpty()) { return new UnicastRoutingEngine(shardingRule, tableNames); } Preconditions.checkState(optimizedStatement instanceof ShardingWhereOptimizedStatement); //分片路由 return getShardingRoutingEngine(shardingRule, (ShardingWhereOptimizedStatement) optimizedStatement, tableNames); } ... ... private static RoutingEngine getShardingRoutingEngine(final ShardingRule shardingRule, final ShardingWhereOptimizedStatement optimizedStatement, final Collection<String> tableNames) { ///根據(jù)解析出來邏輯表獲取分片表,如:SELECT i.* FROM t_order o, t_order_item i WHERE o.order_id = i.order_id and o.order_id = ? //則shardingTableNames為t_order,t_order_item Collection<String> shardingTableNames = shardingRule.getShardingLogicTableNames(tableNames); //滿足以下兩個條件走標準路由,否則走復(fù)合路由 //1、是否只有一張分片表 //2、綁定的邏輯表(配置綁定表)是否包含所有分片表 if (1 == shardingTableNames.size() || shardingRule.isAllBindingTables(shardingTableNames)) { //標準路由,獲取第一張表路由即可,參考官網(wǎng)案例說明 return new StandardRoutingEngine(shardingRule, shardingTableNames.iterator().next(), optimizedStatement); } // TODO config for cartesian set //復(fù)合路由 return new ComplexRoutingEngine(shardingRule, tableNames, optimizedStatement); } }
3.標準路由StandardRoutingEngine#route
標準路由場景
t_order和t_order_item是分庫分表并且是綁定表;如第二步55行判斷shardingTableNames.size()=1或者shardingTableNames都是綁定表時,這時會走標準路由
@RequiredArgsConstructor public final class StandardRoutingEngine implements RoutingEngine { //分庫分表規(guī)則 private final ShardingRule shardingRule; //邏輯表 t_order private final String logicTableName; //sql解析并優(yōu)化后的結(jié)果 private final ShardingWhereOptimizedStatement optimizedStatement; @Override public RoutingResult route() { //insert、update、delete判斷表是否是單表 if (isDMLForModify(optimizedStatement.getSQLStatement()) && !optimizedStatement.getSQLStatement().getTables().isSingleTable()) { throw new SQLParsingException("Cannot support Multiple-Table for '%s'.", optimizedStatement.getSQLStatement()); } //路由數(shù)據(jù)節(jié)點、封裝路由結(jié)果 return generateRoutingResult(getDataNodes(shardingRule.getTableRule(logicTableName))); } ... ... private RoutingResult generateRoutingResult(final Collection<DataNode> routedDataNodes) { RoutingResult result = new RoutingResult(); //根據(jù)數(shù)據(jù)節(jié)點封裝路由單元、表單元 for (DataNode each : routedDataNodes) { //路由單元 demo_ds_0 RoutingUnit routingUnit = new RoutingUnit(each.getDataSourceName()); //表單元 邏輯表:真實表 t_order:t_order_0 routingUnit.getTableUnits().add(new TableUnit(logicTableName, each.getTableName())); result.getRoutingUnits().add(routingUnit); } return result; } private Collection<DataNode> getDataNodes(final TableRule tableRule) { //判斷database、table分片策略同時是Hint(直接路由) if (shardingRule.isRoutingByHint(tableRule)) { return routeByHint(tableRule); } //database、table分片策略都不是Hint if (isRoutingByShardingConditions(tableRule)) { //根據(jù)分片條件、策略路由到對應(yīng)的database、table,同對分片鍵判斷 return routeByShardingConditions(tableRule); } //database或table分片策略有一個是Hint return routeByMixedConditions(tableRule); } ... ... }
4.復(fù)合路由CartesianRoutingEngine#route
復(fù)雜路由場景
t_order和t_order_item是分庫分表并且是綁定表;新增一個t_user分庫分表,這時第二步的55行,shardingTableNames.size()=3,且t_user未配置成綁定表,這時會走復(fù)合路由
@RequiredArgsConstructor public final class ComplexRoutingEngine implements RoutingEngine { //分庫分表規(guī)則 private final ShardingRule shardingRule; //邏輯表t_order、t_order_item private final Collection<String> logicTables; //sql解析并優(yōu)化后的結(jié)果 private final ShardingWhereOptimizedStatement optimizedStatement; @Override public RoutingResult route() { Collection<RoutingResult> result = new ArrayList<>(logicTables.size()); Collection<String> bindingTableNames = new TreeSet<>(String.CASE_INSENSITIVE_ORDER); //遍歷邏輯表 for (String each : logicTables) { Optional<TableRule> tableRule = shardingRule.findTableRule(each); //表是否配置了分庫分表規(guī)則 if (tableRule.isPresent()) { // 如果綁定關(guān)系表已經(jīng)處理過,那么不需要再處理,如t_order處理過,由于t_order_item與其是綁定關(guān)系,那么不需要再處理; if (!bindingTableNames.contains(each)) { //構(gòu)建標準路由并路由 result.add(new StandardRoutingEngine(shardingRule, tableRule.get().getLogicTable(), optimizedStatement).route()); } //根據(jù)邏輯表查找對應(yīng)的所有綁定表,如根據(jù)t_order就能查詢到t_order、t_order_item,因為t_order和t_order_item是綁定表 Optional<BindingTableRule> bindingTableRule = shardingRule.findBindingTableRule(each); if (bindingTableRule.isPresent()) { //添加綁定表 bindingTableNames.addAll(Lists.transform(bindingTableRule.get().getTableRules(), new Function<TableRule, String>() { @Override public String apply(final TableRule input) { return input.getLogicTable(); } })); } } } if (result.isEmpty()) { throw new ShardingException("Cannot find table rule and default data source with logic tables: '%s'", logicTables); } if (1 == result.size()) { return result.iterator().next(); } //笛卡爾積路由 return new CartesianRoutingEngine(result).route(); } }
5.笛卡爾積路由
笛卡爾積路由場景
笛卡爾路由是最復(fù)雜的情況,它無法根據(jù)綁定表的關(guān)系定位分片規(guī)則,因此非綁定表之間的關(guān)聯(lián)查詢需要拆解為笛卡爾積組合執(zhí)行。如上面事例新增的t_user分庫分表,t_user和t_order未配置綁定表關(guān)系,如下SQL就需要走笛卡爾積路由
SELECT * FROM t_user u JOIN t_order o ON u.user_id = o.user_id AND u.user_id in(1 , 2)
@RequiredArgsConstructor public final class CartesianRoutingEngine implements RoutingEngine { private final Collection<RoutingResult> routingResults; @Override public RoutingResult route() { RoutingResult result = new RoutingResult(); //獲取數(shù)據(jù)源對應(yīng)的邏輯表集合 for (Entry<String, Set<String>> entry : getDataSourceLogicTablesMap().entrySet()) { //通過數(shù)據(jù)源名稱和邏輯表的名稱獲取實際的表組,即[["t_user_0","t_user_1"],["t_order_0", "t_order_1]] List<Set<String>> actualTableGroups = getActualTableGroups(entry.getKey(), entry.getValue()); //把邏輯表名封裝成TableUnit表單元 //TableUnit包含數(shù)據(jù)源名稱、邏輯表名、實際表名(通過這三個屬性可以確定最終訪問的表) List<Set<TableUnit>> routingTableGroups = toRoutingTableGroups(entry.getKey(), actualTableGroups); //封裝RoutingUnit路由單元 //cartesianProduct計算笛卡爾積 result.getRoutingUnits().addAll(getRoutingUnits(entry.getKey(), Sets.cartesianProduct(routingTableGroups))); } return result; } private Map<String, Set<String>> getDataSourceLogicTablesMap() { //獲取數(shù)據(jù)源的交集,如t_user邏輯表路由到數(shù)據(jù)源demo_ds_0,而t_order表路由到數(shù)據(jù)源ds_demo_0和demo_ds_1,數(shù)據(jù)源交集就是demo_ds_0 //事例SELECT * FROM t_user_0 u JOIN t_order_0 o ON u.user_id = o.user_id WHERE u.user_id in(1, 2); t_user和t_order不是綁定表關(guān)系 //笛卡爾路由是最復(fù)雜的情況,它無法根據(jù)綁定表的關(guān)系定位分片規(guī)則,因此非綁定表之間的關(guān)聯(lián)查詢需要拆解為笛卡爾積組合執(zhí)行 Collection<String> intersectionDataSources = getIntersectionDataSources(); Map<String, Set<String>> result = new HashMap<>(routingResults.size()); //遍歷標準路由后的結(jié)果集 for (RoutingResult each : routingResults) { //通過數(shù)據(jù)源的名稱獲取數(shù)據(jù)源和邏輯表之間的映射關(guān)系 for (Entry<String, Set<String>> entry : each.getDataSourceLogicTablesMap(intersectionDataSources).entrySet()) { if (result.containsKey(entry.getKey())) { result.get(entry.getKey()).addAll(entry.getValue()); } else { result.put(entry.getKey(), entry.getValue()); } } } // 返回數(shù)據(jù)源-邏輯表集合組成的Map,這里就是{"demo_ds_0":["t_user", "t_order"]} return result; } private Collection<String> getIntersectionDataSources() { Collection<String> result = new HashSet<>(); for (RoutingResult each : routingResults) { if (result.isEmpty()) { result.addAll(each.getDataSourceNames()); } //交集 result.retainAll(each.getDataSourceNames()); } return result; } ... ... }
笛卡爾積結(jié)果如下:
6.直接路由
直接路由場景
滿足直接路由的條件相對苛刻,它需要通過Hint(使用HintAPI直接指定路由至庫表)方式分片,并且是只分庫不分表的前提下,則可以避免SQL解析和之后的結(jié)果歸并
假如路由算法為value % 2,當一個邏輯庫t_order對應(yīng)2個真實庫t_order_0和t_order_1時,路由后SQL將在t_order_1上執(zhí)行。下方是使用API的代碼樣例:
String sql = "SELECT * FROM t_order"; try ( //獲取Hint實例 HintManager hintManager = HintManager.getInstance(); Connection conn = dataSource.getConnection(); PreparedStatement pstmt = conn.prepareStatement(sql)) { //設(shè)置數(shù)據(jù)源分片個數(shù) hintManager.setDatabaseShardingValue(3); try (ResultSet rs = pstmt.executeQuery()) { while (rs.next()) { //... } } }
@RequiredArgsConstructor public final class DatabaseHintRoutingEngine implements RoutingEngine { //數(shù)據(jù)源集群 private final Collection<String> dataSourceNames; //Hint數(shù)據(jù)分片策略 private final HintShardingStrategy databaseShardingStrategy; @Override public RoutingResult route() { //獲取當前線程數(shù)據(jù)源分片 Collection<Comparable<?>> shardingValues = HintManager.getDatabaseShardingValues(); Preconditions.checkState(!shardingValues.isEmpty()); Collection<String> routingDataSources; //根據(jù)分片策略路由 routingDataSources = databaseShardingStrategy.doSharding(dataSourceNames, Collections.<RouteValue>singletonList(new ListRouteValue<>("", "", shardingValues))); Preconditions.checkState(!routingDataSources.isEmpty(), "no database route info"); RoutingResult result = new RoutingResult(); //封裝路由單元 for (String each : routingDataSources) { result.getRoutingUnits().add(new RoutingUnit(each)); } return result; } }
到此,關(guān)于“sharding-jdbc路由的原理及應(yīng)用”的學習就結(jié)束了,希望能夠解決大家的疑惑。理論與實踐的搭配能更好的幫助大家學習,快去試試吧!若想繼續(xù)學習更多相關(guān)知識,請繼續(xù)關(guān)注億速云網(wǎng)站,小編會繼續(xù)努力為大家?guī)砀鄬嵱玫奈恼拢?/p>
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