1：增加app_match函数。

2：配置文件增加 appId 查询URL。
3：整理配置文件以及readme。

README.md

@@ -1,3 +1,33 @@
-# log-stream-completion
+# log-stream-completion-schema
 
-日志补全程序，接收不包含COMPLETED的topic补全后写回包含COMPLETED的topic中
+基于查询网关的动态日志预处理程序，接收原始日志根据对应schema定义进行数据清洗   
+并将结果回写Kafka。
+
+
+## 函数功能列表
+* current_timestamp
+> 获取当前时间戳，若追加字段已有时间戳，不予以覆盖
+* snowflake_id
+> 雪花ID函数，返回一个一定条件内不重复的 long 类型数值
+* geo_ip_detail
+> IP定位库，获取对应IP的详细地理位置信息，城市,州/省,国家
+* geo_asn
+> ASN定位库，获取对应IP的ASN信息
+* geo_ip_country
+> IP定位库，获取对应IP的地理位置信息，仅包含 国家
+* set_value
+> 给予字段固定值
+* get_value
+> 获取字段值并追加到新的字段
+* if
+> IF函数实现，解析日志构建三目运算;包含判断是否为数字若为数字则转换为long类型返回结果。
+* sub_domain
+> 获取顶级域名
+* radius_match
+> 根据IP解析对应raidus用户，借助于HBase存储数据。
+* app_match
+> 根据APP_ID获取对应的APP名称
+* decode_of_base64
+> 根据编码解码base64，若编码字段为空则根据默认编码解析(UTF-8)
+* flattenSpec
+> 根据表达式解析json

pom.xml

@@ -2,9 +2,9 @@
          xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
     <modelVersion>4.0.0</modelVersion>
 
-    <groupId>cn.ac.iie</groupId>
+    <groupId>com.zdjizhi</groupId>
     <artifactId>log-stream-completion-schema</artifactId>
-    <version>v3.21.03.25-eal4</version>
+    <version>v3.21.04.23-appId</version>
     <packaging>jar</packaging>
 
     <name>log-stream-completion-schema</name>
@@ -18,19 +18,6 @@
             <url>http://192.168.40.125:8099/content/groups/public</url>
         </repository>
 
-        <repository>
-            <id>maven-ali</id>
-            <url>http://maven.aliyun.com/nexus/content/groups/public/</url>
-            <releases>
-                <enabled>true</enabled>
-            </releases>
-            <snapshots>
-                <enabled>true</enabled>
-                <updatePolicy>always</updatePolicy>
-                <checksumPolicy>fail</checksumPolicy>
-            </snapshots>
-        </repository>
-
     </repositories>
 
     <build>
@@ -41,6 +28,10 @@
                 <groupId>org.apache.maven.plugins</groupId>
                 <artifactId>maven-shade-plugin</artifactId>
                 <version>2.4.2</version>
+                <configuration>
+                    <createDependencyReducedPom>false</createDependencyReducedPom>
+                </configuration>
+
                 <executions>
                     <execution>
                         <phase>package</phase>
@@ -76,7 +67,7 @@
                         <goals>
                             <goal>strip-jar</goal>
                         </goals>
-                        <phase>package</phase>
+                        <phase>install</phase>
                     </execution>
                 </executions>
             </plugin>
@@ -137,7 +128,7 @@
             <groupId>org.apache.storm</groupId>
             <artifactId>storm-core</artifactId>
             <version>${storm.version}</version>
-            <scope>provided</scope>
+            <!--<scope>provided</scope>-->
             <exclusions>
                 <exclusion>
                     <artifactId>slf4j-log4j12</artifactId>
@@ -232,21 +223,21 @@
         </dependency>
 
         <!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase-server -->
-        <dependency>
+        <!--<dependency>-->
-            <groupId>org.apache.hbase</groupId>
+            <!--<groupId>org.apache.hbase</groupId>-->
-            <artifactId>hbase-server</artifactId>
+            <!--<artifactId>hbase-server</artifactId>-->
-            <version>${hbase.version}</version>
+            <!--<version>${hbase.version}</version>-->
-            <exclusions>
+            <!--<exclusions>-->
-                <exclusion>
+                <!--<exclusion>-->
-                    <artifactId>slf4j-log4j12</artifactId>
+                    <!--<artifactId>slf4j-log4j12</artifactId>-->
-                    <groupId>org.slf4j</groupId>
+                    <!--<groupId>org.slf4j</groupId>-->
-                </exclusion>
+                <!--</exclusion>-->
-                <exclusion>
+                <!--<exclusion>-->
-                    <artifactId>log4j-over-slf4j</artifactId>
+                    <!--<artifactId>log4j-over-slf4j</artifactId>-->
-                    <groupId>org.slf4j</groupId>
+                    <!--<groupId>org.slf4j</groupId>-->
-                </exclusion>
+                <!--</exclusion>-->
-            </exclusions>
+            <!--</exclusions>-->
-        </dependency>
+        <!--</dependency>-->
 
         <!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-common -->
         <dependency>
@@ -336,14 +327,5 @@
             <version>5.5.2</version>
         </dependency>
 
-        <!--&lt;!&ndash; https://mvnrepository.com/artifact/io.github.zlika/reproducible-build-maven-plugin &ndash;&gt;-->
-        <!--<dependency>-->
-            <!--<groupId>io.github.zlika</groupId>-->
-            <!--<artifactId>reproducible-build-maven-plugin</artifactId>-->
-            <!--<version>0.12</version>-->
-        <!--</dependency>-->
-
-
-
     </dependencies>
 </project>

properties/kafka_config.properties

@@ -14,4 +14,4 @@ batch.size=262144
 buffer.memory=67108864
 
 #<23><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ÿ<EFBFBD>η<EFBFBD><CEB7>͸<EFBFBD>Kafka<6B><61><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>С,Ĭ<><C4AC>1048576
-max.request.size=5242880
+max.request.size=5242880

properties/service_flow_config.properties

@@ -12,6 +12,7 @@ zookeeper.servers=192.168.44.12:2181
 #hbase zookeeper地址 用于连接HBase
 hbase.zookeeper.servers=192.168.44.12:2181
 
+#--------------------------------HTTP/定位库------------------------------#
 #定位库地址
 ip.library=D:\\K18-Phase2\\tsgSpace\\dat\\
 #ip.library=/home/bigdata/topology/dat/
@@ -19,20 +20,22 @@ ip.library=D:\\K18-Phase2\\tsgSpace\\dat\\
 #网关的schema位置
 schema.http=http://192.168.44.12:9999/metadata/schema/v1/fields/security_event_log
 
-#kafka broker下的topic名称
+#网关APP_ID 获取接口
-#kafka.topic=CONNECTION-RECORD-LOG
+app.id.http=http://192.168.44.67:9999/open-api/appDicList
+
+#--------------------------------Kafka消费组信息------------------------------#
+
+#kafka 接收数据topic
 kafka.topic=test
 
+#补全数据 输出 topic
+results.output.topic=test-result
+
 #读取topic,存储该spout id的消费offset信息，可通过该拓扑命名;具体存储offset的位置，确定下次读取不重复的数据；
 group.id=connection-record-log-20200818-1-test
 
-#接收自kafka的消费者 client-id
-consumer.client.id=consumer-connection-record
-#回写给kafka的生产者 client-id
-producer.client.id=producer-connection-record
-
 #生产者压缩模式 none or snappy
-producer.kafka.compression.type=snappy
+producer.kafka.compression.type=none
 
 #生产者ack
 producer.ack=1
@@ -40,9 +43,11 @@ producer.ack=1
 #latest/earliest 从当前消 or 从头消费
 auto.offset.reset=latest
 
-#输出topic
+#接收自kafka的消费者 client-id
-#results.output.topic=CONNECTION-RECORD-COMPLETED-LOG
+consumer.client.id=consumer-connection-record
-results.output.topic=test-result
+
+#回写给kafka的生产者 client-id
+producer.client.id=producer-connection-record
 
 #--------------------------------topology配置------------------------------#
 
@@ -58,21 +63,14 @@ completion.bolt.parallelism=6
 #写入kafka的并行度10
 kafka.bolt.parallelism=6
 
-#ack设置 1启动ack 0不启动ack
-topology.num.acks=0
-
-#kafka批量条数
-batch.insert.num=2000
-
 #数据中心（UID）
 data.center.id.num=15
 
-#tick时钟频率
-topology.tick.tuple.freq.secs=5
-
 #hbase 更新时间
 hbase.tick.tuple.freq.secs=60
 
+#app_id 更新时间
+app.tick.tuple.freq.secs=60
 
 #--------------------------------默认值配置------------------------------#
 
@@ -82,6 +80,15 @@ topology.config.max.spout.pending=150000
 #hbase table name
 hbase.table.name=subscriber_info
 
+#ack设置 1启动ack 0不启动ack
+topology.num.acks=0
+
+#kafka批量条数
+batch.insert.num=2000
+
+#tick时钟频率
+topology.tick.tuple.freq.secs=5
+
 #spout接收睡眠时间
 topology.spout.sleep.time=1
 

src/main/java/com/zdjizhi/common/FlowWriteConfig.java

@@ -23,6 +23,7 @@ public class FlowWriteConfig {
     public static final Integer KAFKA_BOLT_PARALLELISM = FlowWriteConfigurations.getIntProperty(0, "kafka.bolt.parallelism");
     public static final Integer TOPOLOGY_TICK_TUPLE_FREQ_SECS = FlowWriteConfigurations.getIntProperty(0, "topology.tick.tuple.freq.secs");
     public static final Integer HBASE_TICK_TUPLE_FREQ_SECS = FlowWriteConfigurations.getIntProperty(0, "hbase.tick.tuple.freq.secs");
+    public static final Integer APP_TICK_TUPLE_FREQ_SECS = FlowWriteConfigurations.getIntProperty(0, "app.tick.tuple.freq.secs");
     public static final Integer TOPOLOGY_CONFIG_MAX_SPOUT_PENDING = FlowWriteConfigurations.getIntProperty(0, "topology.config.max.spout.pending");
     public static final Integer TOPOLOGY_NUM_ACKS = FlowWriteConfigurations.getIntProperty(0, "topology.num.acks");
     public static final Integer TOPOLOGY_SPOUT_SLEEP_TIME = FlowWriteConfigurations.getIntProperty(0, "topology.spout.sleep.time");
@@ -54,11 +55,11 @@ public class FlowWriteConfig {
     public static final String PRODUCER_KAFKA_COMPRESSION_TYPE = FlowWriteConfigurations.getStringProperty(0, "producer.kafka.compression.type");
     public static final String CONSUMER_CLIENT_ID = FlowWriteConfigurations.getStringProperty(0, "consumer.client.id");
     public static final String PRODUCER_CLIENT_ID = FlowWriteConfigurations.getStringProperty(0, "producer.client.id");
-
-
     /**
      * http
      */
     public static final String SCHEMA_HTTP = FlowWriteConfigurations.getStringProperty(0, "schema.http");
+    public static final String APP_ID_HTTP = FlowWriteConfigurations.getStringProperty(0, "app.id.http");
+
 
 }

src/main/java/com/zdjizhi/spout/CustomizedKafkaSpout.java

@@ -4,6 +4,7 @@ import cn.hutool.core.thread.ThreadUtil;
 import com.zdjizhi.common.FlowWriteConfig;
 import cn.hutool.log.Log;
 import cn.hutool.log.LogFactory;
+import com.zdjizhi.common.KafkaProConfig;
 import com.zdjizhi.utils.exception.StreamCompletionException;
 import org.apache.kafka.clients.consumer.ConsumerConfig;
 import org.apache.kafka.clients.consumer.ConsumerRecord;

src/main/java/com/zdjizhi/utils/app/AppUtils.java

@@ -0,0 +1,125 @@
+package com.zdjizhi.utils.app;
+
+import cn.hutool.log.Log;
+import cn.hutool.log.LogFactory;
+import com.alibaba.fastjson.JSONArray;
+import com.alibaba.fastjson.JSONObject;
+import com.zdjizhi.common.FlowWriteConfig;
+import com.zdjizhi.utils.StringUtil;
+import com.zdjizhi.utils.hbase.HBaseUtils;
+import com.zdjizhi.utils.http.HttpClientUtil;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hbase.Cell;
+import org.apache.hadoop.hbase.CellUtil;
+import org.apache.hadoop.hbase.HBaseConfiguration;
+import org.apache.hadoop.hbase.TableName;
+import org.apache.hadoop.hbase.client.*;
+import org.apache.hadoop.hbase.util.Bytes;
+
+import java.io.IOException;
+import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ScheduledExecutorService;
+import java.util.concurrent.ScheduledThreadPoolExecutor;
+import java.util.concurrent.TimeUnit;
+
+/**
+ * AppId 工具类
+ *
+ * @author qidaijie
+ */
+
+public class AppUtils {
+    private static final Log logger = LogFactory.get();
+    private static Map<Integer, String> appIdMap = new ConcurrentHashMap<>(128);
+    private static AppUtils appUtils;
+
+    private static void getAppInstance() {
+        appUtils = new AppUtils();
+    }
+
+
+    /**
+     * 构造函数-新
+     */
+    private AppUtils() {
+        //定时更新
+        updateHabaseCache();
+    }
+
+    /**
+     * 更新变量
+     */
+    private static void change() {
+        if (appUtils == null) {
+            getAppInstance();
+        }
+        timestampsFilter();
+    }
+
+
+    /**
+     * 获取变更内容
+     */
+    private static void timestampsFilter() {
+        try {
+            Long begin = System.currentTimeMillis();
+            String schema = HttpClientUtil.requestByGetMethod(FlowWriteConfig.APP_ID_HTTP);
+            if (StringUtil.isNotBlank(schema)) {
+                String data = JSONObject.parseObject(schema).getString("data");
+                JSONArray objects = JSONArray.parseArray(data);
+                for (Object object : objects) {
+                    JSONArray jsonArray = JSONArray.parseArray(object.toString());
+                    int key = jsonArray.getInteger(0);
+                    String value = jsonArray.getString(1);
+                    if (appIdMap.containsKey(key)) {
+                        if (!value.equals(appIdMap.get(key))) {
+                            appIdMap.put(key, value);
+                        }
+                    } else {
+                        appIdMap.put(key, value);
+                    }
+                }
+                logger.warn("Updating the correspondence takes time:" + (begin - System.currentTimeMillis()));
+                logger.warn("Pull the length of the interface data:[" + objects.size() + "]");
+            }
+        } catch (RuntimeException e) {
+            logger.error("Update cache app-id failed, exception：" + e);
+        }
+    }
+
+
+    /**
+     * 验证定时器,每隔一段时间验证一次-验证获取新的Cookie
+     */
+    private void updateHabaseCache() {
+        ScheduledExecutorService executorService = new ScheduledThreadPoolExecutor(1);
+        executorService.scheduleAtFixedRate(new Runnable() {
+            @Override
+            public void run() {
+                try {
+                    change();
+                } catch (RuntimeException e) {
+                    logger.error("AppUtils update AppCache is error===>{" + e + "}<===");
+                }
+            }
+        }, 1, FlowWriteConfig.APP_TICK_TUPLE_FREQ_SECS, TimeUnit.SECONDS);
+    }
+
+
+    /**
+     * 获取 appName
+     *
+     * @param appId app_id
+     * @return account
+     */
+    public static String getAppName(int appId) {
+
+        if (appUtils == null) {
+            getAppInstance();
+        }
+        return appIdMap.get(appId);
+
+    }
+
+}

src/main/java/com/zdjizhi/utils/general/TransFormUtils.java

@@ -149,6 +149,11 @@ public class TransFormUtils {
                     JsonParseUtil.setValue(object, appendToKeyName, TransFunction.radiusMatch(name.toString()));
                 }
                 break;
+            case "app_match":
+                if ((int) name != 0 && appendTo == null) {
+                    JsonParseUtil.setValue(object, appendToKeyName, TransFunction.appMatch(Integer.parseInt(name.toString())));
+                }
+                break;
             case "decode_of_base64":
                 if (name != null) {
                     JsonParseUtil.setValue(object, appendToKeyName, TransFunction.decodeBase64(name.toString(), TransFunction.isJsonValue(object, param)));

src/main/java/com/zdjizhi/utils/general/TransFunction.java

@@ -2,6 +2,7 @@ package com.zdjizhi.utils.general;
 
 import cn.hutool.core.codec.Base64;
 import com.zdjizhi.common.FlowWriteConfig;
+import com.zdjizhi.utils.app.AppUtils;
 import com.zdjizhi.utils.hbase.HBaseUtils;
 import com.zdjizhi.utils.json.JsonParseUtil;
 import cn.hutool.log.Log;
@@ -12,6 +13,7 @@ import com.zdjizhi.utils.Encodes;
 import com.zdjizhi.utils.FormatUtils;
 import com.zdjizhi.utils.IpLookup;
 import com.zdjizhi.utils.StringUtil;
+
 import java.util.ArrayList;
 import java.util.regex.Matcher;
 import java.util.regex.Pattern;
@@ -80,6 +82,20 @@ class TransFunction {
         return account;
     }
 
+    /**
+     * appId与缓存中对应关系补全appName
+     *
+     * @param appId id
+     * @return appName
+     */
+    static String appMatch(int appId) {
+        String appName = AppUtils.getAppName(appId);
+        if (StringUtil.isBlank(appName)) {
+            logger.warn("AppMap get appName is null, ID is :{}", appId);
+        }
+        return appName;
+    }
+
     /**
      * 解析顶级域名
      *