perf(executor-task): 减少数据流转

通过设置相同的并行度，让数据读取和数据过滤合并到一个算子里，避免大表base文件扫描失败

service-executor/service-executor-task/src/main/java/com/lanyuanxiaoyao/service/executor/task/DataScanner.java

@@ -78,8 +78,7 @@ public class DataScanner {
             DataStream<String> stream = filterKeys.apply(
                     environment
                             .fromSource(new ReadPulsarSource(taskContext, pulsarUrl, pulsarTopic), WatermarkStrategy.noWatermarks(), "Read pulsar")
-                            .setParallelism(totalParallelism)
-                            .disableChaining(),
+                            .setParallelism(totalParallelism),
                     totalParallelism
             );
             if (ObjectUtil.isNull(source)) {
@@ -110,7 +109,8 @@ public class DataScanner {
                                 .flatMap(new ReadHudiFile(filterFields))
                                 .name("Read log file")
                                 .setParallelism(parallelism),
-                        parallelismPredict.apply(totalParallelism)
+                        // parallelismPredict.apply(totalParallelism)
+                        totalParallelism
                 );
                 if (ObjectUtil.isNull(source)) {
                     source = stream;
@@ -130,7 +130,8 @@ public class DataScanner {
                                 .flatMap(new ReadHudiFile(filterFields))
                                 .name("Read base file")
                                 .setParallelism(parallelism),
-                        parallelismPredict.apply(totalParallelism)
+                        // parallelismPredict.apply(totalParallelism)
+                        totalParallelism
                 );
                 if (ObjectUtil.isNull(source)) {
                     source = stream;