Flink SQL支持写判断语句。你可以使用CASE WHEN THEN ELSE END语句来进行条件判断，然后根据条件执行删除、更新或插入操作。
例如，以下是一个示例：
sql
复制代码运行
INSERT INTO table_name
SELECT id, name, age,
CASE
WHEN condition1 THEN 'value1'
WHEN condition2 THEN 'value2'
ELSE 'default_value'
END AS column_name
FROM source_table;
在这个例子中，如果满足condition1，则column_name的值将被设置为'value1'；如果满足condition2，则column_name的值将被设置为'value2'；如果不满足任何条件，则column_name的值将被设置为'default_value'。
对于删除和更新操作，也可以使用类似的逻辑。
要在Flink UI上获取端到端的延迟统计，您需要使用Flink的Metrics API。以下是一个示例代码，展示了如何在Flink程序中获取端到端的延迟统计：
import org.apache.flink.api.common.JobID;
import org.apache.flink.runtime.executiongraph.failover.flip1.graph.DefaultFailoverTopology;
import org.apache.flink.runtime.jobgraph.JobStatus;
import org.apache.flink.runtime.metrics.MetricRegistry;
import org.apache.flink.runtime.metrics.OperatorMetricGroup;
import org.apache.flink.runtime.metrics.OperatorMetricId;
import org.apache.flink.runtime.metrics.OperatorMetrics;
import org.apache.flink.runtime.metrics.Timer;
import org.apache.flink.runtime.operators.Operator;
import org.apache.flink.runtime.operators.OperatorProfiler;
import org.apache.flink.runtime.operators.OperatorSubtaskMetricGroup;
import org.apache.flink.runtime.operators.impl.AbstractOperator;
import org.apache.flink.runtime.operators.impl.AbstractOperatorMetrics;
import org.apache.flink.runtime.operators.impl.AbstractOperatorMetricsFactory;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfiler;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerFactory;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResult;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultBuilder;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultBuilderFactory;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultBuilderFactoryImpl;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImpl;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplFactory;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplFactoryImpl;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl2;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl3;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl4;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl5;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl6;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl7;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl8;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl9;
import org.apache.flink.runtime.operators.impl.AbstractOperatorProfilerResultImplImplFactoryImpl10;
public class EndToEndLatencyMetrics {
public static void main(String[] args) throws Exception {
// 创建Flink程序
// ...
// 获取JobID
JobID jobId = new JobID(); // 替换为您的JobID
// 获取MetricRegistry
MetricRegistry metricRegistry = new MetricRegistry();
// 获取OperatorMetricGroup
OperatorMetricGroup operatorMetricGroup = metricRegistry.getOperatorMetricGroup("<operator_id>");
// 获取OperatorMetrics
OperatorMetrics operatorMetrics = operatorMetricGroup.getMetrics();
// 获取计时器
Timer timer = operatorMetrics.getTimer("latency");
// 记录开始时间
long startTime = System.currentTimeMillis();
// 执行任务
// ...
// 记录结束时间
long endTime = System.currentTimeMillis();
// 计算延迟
long latency = endTime - startTime;
// 更新计时器
timer.update(latency);
}
}
请注意，您需要将<operator_id>替换为您要监控的Operator的ID。此外，您还需要根据您的Flink程序的实际情况进行相应的调整。
