defmain(args:Array[String]):Unit={// Streaming 环境val env=StreamExecutionEnvironment.getExecutionEnvironment val tEnv=TableEnvironment.getTableEnvironment(env)//方便我们查出输出数据env.setParallelism(1)val sourceTableName="RatesHistory"// 创建CSV source数据结构val tableSource=CsvTableSourceUtils.genRate...
object TemporalTableJoinTest {def main(args: Array[String]):Unit= {valenv=StreamExecutionEnvironment.getExecutionEnvironmentvaltEnv=TableEnvironment.getTableEnvironment(env)env.setParallelism(1)// 设置时间类型是 event-time env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)// 构造订单数据valorders...
env.setParallelism(1); 设置并行度是1主要是为测试的目的,便于观察join的结果 env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime); 设置时间属性是 EventTime, 1.1 创建和注册左表 Orders 构建填充到Orders中的数据 List<Tuple3<Long, String, Timestamp>> orderData = Lists.newArrayList(); orderData.a...
env.setParallelism(1)// 设置时间类型是 event-time env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)// 构造订单数据valordersData =newmutable.MutableList[(Long,String,Timestamp)] ordersData.+=((2L,"Euro",newTimestamp(2L))) ordersData.+=((1L,"US Dollar",newTimestamp(3L))) ...
While the neural bases of the earliest stages of speech categorization have been widely explored using neural decoding methods, there is still a lack of co
High parallelismThe spiking convolutional neural network (SCNN) accelerator is well-suited for intelligent edge devices due to its low power consumption. However, there is still room for improvement in its power efficiency, particularly in terms of computation and memory optimization. In this paper, ...
并行性(Parallelism)。与在 RNN 中对后续时间步的预测必须等待其前任完成的情况不同,卷积可以并行完成,因为每一层都使用相同的滤波器。因此,在训练和评估中,长输入序列可以在 TCN 中作为一个整体进行处理,而不是像在 RNN 中那样按顺序处理。 灵活的感受野大小(Flexible receptive field size)。TCN 可以通过多种方...
Pipeline parallelism ✗Table 10: Video benchmark evaluation setting. We report some detailed setting during evaluation. MCQ: Multi-choice question. QA: Question-answer. Benchmark Evaluation type Prompts Input frames Answer selection MCQ Question + “Please directly give the best option:” 32 Yes...
streamEnv.setParallelism(1); //3、注册Kafka数据源 //注意: 为了在北京时间和时间戳之间有直观的认识,这里的UserBrowseLog中增加了一个字段eventTimeTimestamp作为eventTime的时间戳 Properties browseProperties = new Properties(); browseProperties.put("bootstrap.servers",kafkaBootstrapServers); ...
env.setRuntimeMode(RuntimeExecutionMode.STREAMING); 设置当前运行模式为 STREAMING模式 env.setParallelism(1); 设置并行度是1主要是为测试的目的,便于观察join的结果 env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime); 设置时间属性是 EventTime 1. 首先创建并注册一个普通表RatesHistory DataStream<Row>ra...