DoS事件日志对Conditions基于速率检测属性值修正

src/main/java/com/zdjizhi/etl/DosDetection.java

@@ -193,7 +193,7 @@ public class DosDetection extends RichMapFunction<DosSketchLog, DosEventLog> {
         switch (type) {
             case STATIC_CONDITION_TYPE:
                 return new StrBuilder()
-                        .append(tag).append(" > ")
+                        .append("Rate > ")
                         .append(base).append(" ")
                         .append(tag).append("/s")
                         .toString();

src/main/java/com/zdjizhi/utils/FlinkEnvironmentUtils.java

@@ -1,6 +1,8 @@
 package com.zdjizhi.utils;
 
 import com.zdjizhi.common.CommonConfig;
+import org.apache.flink.streaming.api.CheckpointingMode;
+import org.apache.flink.streaming.api.environment.CheckpointConfig;
 import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
 
 
@@ -12,6 +14,33 @@ public class FlinkEnvironmentUtils {
 
     static {
         streamExeEnv.setParallelism(CommonConfig.STREAM_EXECUTION_ENVIRONMENT_PARALLELISM);
+
+        /*
+        // 每 1000ms 开始一次 checkpoint
+        streamExeEnv.enableCheckpointing(CommonConfig.FLINK_WINDOW_MAX_TIME * 1000);
+
+        // 设置模式为精确一次 (这是默认值)
+        streamExeEnv.getCheckpointConfig().setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE);
+
+        // 确认 checkpoints 之间的时间会进行 500 ms
+        streamExeEnv.getCheckpointConfig().setMinPauseBetweenCheckpoints(500);
+
+        // Checkpoint 必须在一分钟内完成，否则就会被抛弃
+        streamExeEnv.getCheckpointConfig().setCheckpointTimeout(60000);
+
+        // 允许两个连续的 checkpoint 错误
+        streamExeEnv.getCheckpointConfig().setTolerableCheckpointFailureNumber(2);
+
+        // 同一时间只允许一个 checkpoint 进行
+        streamExeEnv.getCheckpointConfig().setMaxConcurrentCheckpoints(1);
+
+        // 使用 externalized checkpoints，这样 checkpoint 在作业取消后仍就会被保留
+        streamExeEnv.getCheckpointConfig().enableExternalizedCheckpoints(
+                CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);
+
+        // 开启实验性的 unaligned checkpoints
+        streamExeEnv.getCheckpointConfig().enableUnalignedCheckpoints();
+        */
     }
 
 }

src/main/java/com/zdjizhi/utils/KafkaUtils.java

@@ -22,12 +22,14 @@ public class KafkaUtils {
     }
 
     public static FlinkKafkaProducer<String> getKafkaSink(String topic){
-        return new FlinkKafkaProducer<String>(
+        FlinkKafkaProducer<String> kafkaProducer = new FlinkKafkaProducer<>(
                 topic,
                 new SimpleStringSchema(),
                 getKafkaSinkProperty(),
                 Optional.empty()
         );
+        kafkaProducer.setLogFailuresOnly(true);
+        return kafkaProducer;
     }
 
 }

src/main/resources/common.properties

@@ -15,7 +15,7 @@ kafka.input.topic.name=DOS-SKETCH-RECORD
 kafka.input.bootstrap.servers=192.168.44.11:9094,192.168.44.14:9094,192.168.44.15:9094
 
 #读取kafka group id
-kafka.input.group.id=2112080949
+kafka.input.group.id=dos-detection-job-220516-1
 #kafka.input.group.id=dos-detection-job-210813-1
 
 #发送kafka metrics并行度大小
@@ -37,8 +37,8 @@ kafka.output.bootstrap.servers=192.168.44.12:9094
 #kafka.output.bootstrap.servers=192.168.44.11:9092,192.168.44.14:9092,192.168.44.15:9092
 
 #zookeeper地址
-hbase.zookeeper.quorum=192.168.44.12:2181
+#hbase.zookeeper.quorum=192.168.44.12:2181
-#hbase.zookeeper.quorum=192.168.44.11:2181,192.168.44.14:2181,192.168.44.15:2181
+hbase.zookeeper.quorum=192.168.44.11:2181,192.168.44.14:2181,192.168.44.15:2181
 
 #hbase客户端处理时间
 hbase.client.operation.timeout=30000
@@ -74,12 +74,12 @@ destination.ip.partition.num=10000
 data.center.id.num=15
 
 #IP mmdb库路径
-ip.mmdb.path=D:\\data\\dat\\
+ip.mmdb.path=D:\\data\\dat\\bak\\
 #ip.mmdb.path=/home/bigdata/topology/dat/
 #ip.mmdb.path=/home/bigdata/wlh/topology/dos-detection/dat/
 
 #静态敏感阈值，速率小于此值不报警
-static.sensitivity.threshold=500
+static.sensitivity.threshold=10
 
 #基线敏感阈值
 baseline.sensitivity.threshold=0.2
@@ -92,8 +92,8 @@ baseline.sessions.severe.threshold=5
 baseline.sessions.critical.threshold=8
 
 #bifang服务访问地址
-#bifang.server.uri=http://192.168.44.72:80
+bifang.server.uri=http://192.168.44.72:80
-bifang.server.uri=http://192.168.44.3:80
+#bifang.server.uri=http://192.168.44.3:80
 
 #访问bifang只读权限token，bifang内置，无需修改
 bifang.server.token=ed04b942-7df4-4e3d-b9a9-a881ca98a867