use of org.sagacity.sqltoy.dialect.executor.DialectExecutor in project sagacity-sqltoy by chenrenfei.
the class ParallelUtils method execute.
/**
* @todo 将集合进行根据sharding字段的值提取sharding策略并按照策略将集合分组,然后并行执行
* @param sqlToyContext
* @param entities
* @param wrapIdValue
* @param dataSource
* @param handler
* @return
* @throws Exception
*/
public static List execute(final SqlToyContext sqlToyContext, List entities, boolean wrapIdValue, DataSource dataSource, ParallelCallbackHandler handler) throws Exception {
// 获取对象的媒体信息
EntityMeta entityMeta = sqlToyContext.getEntityMeta(entities.get(0).getClass());
// 主键值需要提前按照主键策略赋予(sequence 和assign模式的不会实际执行赋值)
if (wrapIdValue) {
ShardingUtils.assignPKs(sqlToyContext, entityMeta, entities);
}
// 将批量集合数据按sharding策略处理后的库和表组成的key分组
Collection<ShardingGroupModel> shardingGroups = ShardingUtils.groupShardings(sqlToyContext, entities, entityMeta, dataSource);
// 单分组直接执行
if (shardingGroups.size() == 1) {
return handler.execute(sqlToyContext, shardingGroups.iterator().next());
}
// 开始多线程并行执行
ShardingConfig shardingConfig = entityMeta.getShardingConfig();
List results = new ArrayList();
// 并行线程数量
int threads = shardingGroups.size();
// 是否全局异常回滚
boolean globalRollback = shardingConfig.isGlobalRollback();
// 如果额外策略配置了线程数量,则按照指定的线程数量执行
if (threads > shardingConfig.getMaxConcurrents() && shardingConfig.getMaxConcurrents() > 1) {
threads = shardingConfig.getMaxConcurrents();
}
ExecutorService pool = Executors.newFixedThreadPool(threads);
List<Future<ShardingResult>> futureResults = new ArrayList<Future<ShardingResult>>();
Future<ShardingResult> future;
for (ShardingGroupModel group : shardingGroups) {
future = pool.submit(new DialectExecutor(sqlToyContext, group, handler));
futureResults.add(future);
}
pool.shutdown();
// 设置最大等待时长
if (shardingConfig.getMaxWaitSeconds() > 0) {
pool.awaitTermination(shardingConfig.getMaxWaitSeconds(), TimeUnit.SECONDS);
} else {
pool.awaitTermination(SqlToyConstants.PARALLEL_MAXWAIT_SECONDS, TimeUnit.SECONDS);
}
// 提取各个线程返回的结果进行合并
try {
ShardingResult item;
for (Future<ShardingResult> futureResult : futureResults) {
item = futureResult.get();
// 全局异常则抛出,让事务进行全部回滚。
if (item != null && !item.isSuccess() && globalRollback) {
throw new RuntimeException(item.getMessage());
}
if (item != null && item.getRows() != null && !item.getRows().isEmpty()) {
results.addAll(item.getRows());
}
}
} catch (Exception e) {
e.printStackTrace();
throw e;
} finally {
pool.shutdownNow();
}
return results;
}
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