提交2109版livecharts

2021-09-27 11:13:25 +08:00
parent dd31a0bf96
commit 99bf45cdbc
24 changed files with 1927 additions and 0 deletions
--- a/pom.xml
+++ b/pom.xml
@@ -0,0 +1,240 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         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>com.zdjizhi</groupId>
+    <artifactId>log-olap-analysis-schema</artifactId>
+    <version>210908-security</version>
+
+    <name>log-olap-analysis-schema</name>
+    <url>http://www.example.com</url>
+
+
+    <repositories>
+        <repository>
+            <id>nexus</id>
+            <name>Team Nexus Repository</name>
+            <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>-->
+                <checksumPolicy>fail</checksumPolicy>
+            </snapshots>
+        </repository>
+    </repositories>
+
+    <properties>
+        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+        <flink.version>1.13.1</flink.version>
+        <hadoop.version>2.7.1</hadoop.version>
+        <kafka.version>1.0.0</kafka.version>
+        <hbase.version>2.2.3</hbase.version>
+        <scope.type>provided</scope.type>
+        <!--<scope.type>compile</scope.type>-->
+    </properties>
+
+    <build>
+        <plugins>
+
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-shade-plugin</artifactId>
+                <version>2.4.2</version>
+                <executions>
+                    <execution>
+                        <phase>package</phase>
+                        <goals>
+                            <goal>shade</goal>
+                        </goals>
+                        <configuration>
+                            <transformers>
+                                <transformer
+                                        implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
+                                    <mainClass>com.zdjizhi.topology.StreamAggregateTopology</mainClass>
+                                </transformer>
+                            </transformers>
+                        </configuration>
+                    </execution>
+                </executions>
+            </plugin>
+
+            <plugin>
+                <groupId>io.github.zlika</groupId>
+                <artifactId>reproducible-build-maven-plugin</artifactId>
+                <version>0.2</version>
+                <executions>
+                    <execution>
+                        <goals>
+                            <goal>strip-jar</goal>
+                        </goals>
+                        <phase>package</phase>
+                    </execution>
+                </executions>
+            </plugin>
+
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <version>2.3.2</version>
+                <configuration>
+                    <source>1.8</source>
+                    <target>1.8</target>
+                </configuration>
+            </plugin>
+        </plugins>
+        <resources>
+            <resource>
+                <directory>properties</directory>
+                <includes>
+                    <include>**/*.properties</include>
+                    <include>**/*.xml</include>
+                </includes>
+                <filtering>false</filtering>
+            </resource>
+
+            <resource>
+                <directory>src\main\java</directory>
+                <includes>
+                    <include>log4j.properties</include>
+                </includes>
+                <filtering>false</filtering>
+            </resource>
+        </resources>
+    </build>
+
+    <dependencies>
+
+        <dependency>
+            <groupId>com.zdjizhi</groupId>
+            <artifactId>galaxy</artifactId>
+            <version>1.0.6</version>
+            <exclusions>
+                <exclusion>
+                    <artifactId>slf4j-log4j12</artifactId>
+                    <groupId>org.slf4j</groupId>
+                </exclusion>
+                <exclusion>
+                    <artifactId>log4j-over-slf4j</artifactId>
+                    <groupId>org.slf4j</groupId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+
+        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-table -->
+        <!--<dependency>-->
+            <!--<groupId>org.apache.flink</groupId>-->
+            <!--<artifactId>flink-table</artifactId>-->
+            <!--<version>${flink.version}</version>-->
+            <!--<type>pom</type>-->
+            <!--<scope>${scope.type}</scope>-->
+        <!--</dependency>-->
+
+        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-core -->
+        <dependency>
+            <groupId>org.apache.flink</groupId>
+            <artifactId>flink-core</artifactId>
+            <version>${flink.version}</version>
+            <scope>${scope.type}</scope>
+        </dependency>
+
+
+        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-streaming-java -->
+        <dependency>
+            <groupId>org.apache.flink</groupId>
+            <artifactId>flink-streaming-java_2.12</artifactId>
+            <version>${flink.version}</version>
+            <scope>${scope.type}</scope>
+        </dependency>
+
+        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-clients -->
+        <dependency>
+            <groupId>org.apache.flink</groupId>
+            <artifactId>flink-clients_2.12</artifactId>
+            <version>${flink.version}</version>
+            <scope>${scope.type}</scope>
+        </dependency>
+
+        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-connector-kafka -->
+        <dependency>
+            <groupId>org.apache.flink</groupId>
+            <artifactId>flink-connector-kafka_2.12</artifactId>
+            <version>${flink.version}</version>
+            <!--<scope>${scope.type}</scope>-->
+        </dependency>
+
+        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-java -->
+        <dependency>
+            <groupId>org.apache.flink</groupId>
+            <artifactId>flink-java</artifactId>
+            <version>${flink.version}</version>
+            <scope>${scope.type}</scope>
+        </dependency>
+
+        <dependency>
+            <groupId>cglib</groupId>
+            <artifactId>cglib-nodep</artifactId>
+            <version>3.2.4</version>
+        </dependency>
+
+        <dependency>
+            <groupId>org.junit.jupiter</groupId>
+            <artifactId>junit-jupiter-api</artifactId>
+            <version>5.3.2</version>
+            <scope>compile</scope>
+        </dependency>
+
+        <dependency>
+            <groupId>org.apache.httpcomponents</groupId>
+            <artifactId>httpclient</artifactId>
+            <version>4.5.2</version>
+        </dependency>
+
+        <dependency>
+            <groupId>com.jayway.jsonpath</groupId>
+            <artifactId>json-path</artifactId>
+            <version>2.4.0</version>
+        </dependency>
+
+        <dependency>
+            <groupId>io.prometheus</groupId>
+            <artifactId>simpleclient_pushgateway</artifactId>
+            <version>0.9.0</version>
+        </dependency>
+
+        <dependency>
+            <groupId>cn.hutool</groupId>
+            <artifactId>hutool-all</artifactId>
+            <version>5.5.2</version>
+        </dependency>
+
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-api</artifactId>
+            <version>1.7.21</version>
+        </dependency>
+
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-log4j12</artifactId>
+            <version>1.7.21</version>
+        </dependency>
+
+        <dependency>
+            <groupId>junit</groupId>
+            <artifactId>junit</artifactId>
+            <version>4.12</version>
+            <scope>test</scope>
+        </dependency>
+
+    </dependencies>
+</project>
+
--- a/properties/default_config.properties
+++ b/properties/default_config.properties
@@ -0,0 +1,29 @@
+#producer<65><72><EFBFBD>ԵĴ<D4B5><C4B4><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
+retries=0
+
+#<23><><EFBFBD>ĺ<EFBFBD><C4BA><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>˵һ<CBB5><D2BB>Batch<63><68><EFBFBD><EFBFBD><EFBFBD><EFBFBD>֮<EFBFBD><D6AE><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ã<EFBFBD><C3A3><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Batch<63><68>û<EFBFBD><C3BB>д<EFBFBD><D0B4><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>뷢<EFBFBD>ͳ<EFBFBD>ȥ<EFBFBD><C8A5>
+linger.ms=5
+
+#<23><><EFBFBD><EFBFBD><EFBFBD>ڳ<EFBFBD>ʱ֮ǰδ<C7B0>յ<EFBFBD><D5B5><EFBFBD>Ӧ<EFBFBD><D3A6><EFBFBD>ͻ<EFBFBD><CDBB>˽<EFBFBD><CBBD>ڱ<EFBFBD>Ҫʱ<D2AA><CAB1><EFBFBD>·<EFBFBD><C2B7><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
+request.timeout.ms=30000
+
+#producer<65><72><EFBFBD>ǰ<EFBFBD><C7B0><EFBFBD>batch<63><68><EFBFBD>з<EFBFBD><D0B7>͵<EFBFBD>,<2C><><EFBFBD>δ<EFBFBD>С<EFBFBD><D0A1>Ĭ<EFBFBD><C4AC>:16384
+batch.size=262144
+
+#Producer<65><72><EFBFBD><EFBFBD><EFBFBD>ڻ<EFBFBD><DABB><EFBFBD><EFBFBD><EFBFBD>Ϣ<EFBFBD>Ļ<EFBFBD><C4BB><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>С
+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
+
+#kafka SASL<53><4C>֤<EFBFBD>û<EFBFBD><C3BB><EFBFBD>
+kafka.user=admin
+
+#kafka SASL<53><4C>SSL<53><4C>֤<EFBFBD><D6A4><EFBFBD><EFBFBD>
+kafka.pin=galaxy2019
+
+#kafka source protocol; SSL or SASL
+kafka.source.protocol=SASL
+
+#kafka sink protocol; SSL or SASL
+kafka.sink.protocol=SASL
--- a/properties/service_flow_config.properties
+++ b/properties/service_flow_config.properties
@@ -0,0 +1,51 @@
+#--------------------------------地址配置------------------------------#
+
+#管理kafka地址
+input.kafka.servers=192.168.44.12:9094
+
+#管理输出kafka地址
+output.kafka.servers=192.168.44.12:9094
+
+#--------------------------------HTTP------------------------------#
+#kafka 证书地址
+tools.library=D:\\K18-Phase2\\tsgSpace\\dat\\tsg\\
+
+#网关的schema位置
+#schema.http=http://192.168.44.12:9999/metadata/schema/v1/fields/liveChart_interim
+schema.http=http://192.168.44.67:9999/metadata/schema/v1/fields/liveChart_session
+
+#网关APP_ID 获取接口
+app.id.http=http://192.168.44.67:9999/open-api/appDicList
+
+#--------------------------------Kafka消费组信息------------------------------#
+
+#kafka 接收数据topic
+input.kafka.topic=test
+#input.kafka.topic=SESSION-RECORD
+#input.kafka.topic=INTERIM-SESSION-RECORD
+
+#补全数据 输出 topic
+output.kafka.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=liveCharts-session-test-20210811-1
+
+#生产者压缩模式 none or snappy
+producer.kafka.compression.type=none
+
+#生产者ack
+producer.ack=1
+
+#--------------------------------topology配置------------------------------#
+
+#consumer 并行度
+consumer.parallelism=1
+
+#map函数并行度
+parse.parallelism=1
+
+#app_id 更新时间，如填写0则不更新缓存
+app.tick.tuple.freq.secs=0
+
+#聚合窗口时间
+count.window.time=15
--- a/src/main/java/com/zdjizhi/common/StreamAggregateConfig.java
+++ b/src/main/java/com/zdjizhi/common/StreamAggregateConfig.java
@@ -0,0 +1,56 @@
+package com.zdjizhi.common;
+
+
+import com.zdjizhi.utils.system.StreamAggregateConfigurations;
+
+/**
+ * @author Administrator
+ */
+public class StreamAggregateConfig {
+
+    public static final String FORMAT_SPLITTER = ",";
+    public static final String PROTOCOL_SPLITTER = "\\.";
+
+    /**
+     * System
+     */
+    public static final Integer CONSUMER_PARALLELISM = StreamAggregateConfigurations.getIntProperty(0, "consumer.parallelism");
+    public static final Integer PARSE_PARALLELISM = StreamAggregateConfigurations.getIntProperty(0, "parse.parallelism");
+    public static final Integer APP_TICK_TUPLE_FREQ_SECS = StreamAggregateConfigurations.getIntProperty(0, "app.tick.tuple.freq.secs");
+    public static final Integer COUNT_WINDOW_TIME = StreamAggregateConfigurations.getIntProperty(0, "count.window.time");
+    public static final String TOOLS_LIBRARY = StreamAggregateConfigurations.getStringProperty(0, "tools.library");
+
+    /**
+     * kafka source
+     */
+    public static final String INPUT_KAFKA_SERVERS = StreamAggregateConfigurations.getStringProperty(0, "input.kafka.servers");
+    public static final String OUTPUT_KAFKA_SERVERS = StreamAggregateConfigurations.getStringProperty(0, "output.kafka.servers");
+    public static final String GROUP_ID = StreamAggregateConfigurations.getStringProperty(0, "group.id");
+    public static final String OUTPUT_KAFKA_TOPIC = StreamAggregateConfigurations.getStringProperty(0, "output.kafka.topic");
+    public static final String INPUT_KAFKA_TOPIC = StreamAggregateConfigurations.getStringProperty(0, "input.kafka.topic");
+    public static final String PRODUCER_ACK = StreamAggregateConfigurations.getStringProperty(0, "producer.ack");
+    public static final String KAFKA_SOURCE_PROTOCOL = StreamAggregateConfigurations.getStringProperty(1, "kafka.source.protocol");
+    public static final String KAFKA_SINK_PROTOCOL = StreamAggregateConfigurations.getStringProperty(1, "kafka.sink.protocol");
+    public static final String KAFKA_USER = StreamAggregateConfigurations.getStringProperty(1, "kafka.user");
+    public static final String KAFKA_PIN = StreamAggregateConfigurations.getStringProperty(1, "kafka.pin");
+    public static final String RETRIES = StreamAggregateConfigurations.getStringProperty(1, "retries");
+    public static final String LINGER_MS = StreamAggregateConfigurations.getStringProperty(1, "linger.ms");
+    public static final Integer REQUEST_TIMEOUT_MS = StreamAggregateConfigurations.getIntProperty(1, "request.timeout.ms");
+    public static final Integer BATCH_SIZE = StreamAggregateConfigurations.getIntProperty(1, "batch.size");
+    public static final Integer BUFFER_MEMORY = StreamAggregateConfigurations.getIntProperty(1, "buffer.memory");
+    public static final Integer MAX_REQUEST_SIZE = StreamAggregateConfigurations.getIntProperty(1, "max.request.size");
+
+
+    /**
+     * kafka限流配置-20201117
+     */
+    public static final String PRODUCER_KAFKA_COMPRESSION_TYPE = StreamAggregateConfigurations.getStringProperty(0, "producer.kafka.compression.type");
+
+    /**
+     * http
+     */
+    public static final String SCHEMA_HTTP = StreamAggregateConfigurations.getStringProperty(0, "schema.http");
+    public static final String APP_ID_HTTP = StreamAggregateConfigurations.getStringProperty(0, "app.id.http");
+
+
+}
--- a/src/main/java/com/zdjizhi/topology/StreamAggregateTopology.java
+++ b/src/main/java/com/zdjizhi/topology/StreamAggregateTopology.java
@@ -0,0 +1,56 @@
+package com.zdjizhi.topology;
+
+import cn.hutool.log.Log;
+import cn.hutool.log.LogFactory;
+import com.zdjizhi.common.StreamAggregateConfig;
+import com.zdjizhi.utils.functions.*;
+import com.zdjizhi.utils.kafka.Consumer;
+import com.zdjizhi.utils.kafka.Producer;
+import org.apache.flink.api.java.tuple.Tuple3;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.flink.streaming.api.datastream.WindowedStream;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
+import org.apache.flink.streaming.api.windowing.time.Time;
+import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
+
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.topology
+ * @Description:
+ * @date 2021/5/2016:42
+ */
+public class StreamAggregateTopology {
+    private static final Log logger = LogFactory.get();
+
+    public static void main(String[] args) {
+        try {
+            final StreamExecutionEnvironment environment = StreamExecutionEnvironment.getExecutionEnvironment();
+
+            environment.enableCheckpointing(5000);
+
+            DataStream<String> streamSource = environment.addSource(Consumer.getKafkaConsumer())
+                    .setParallelism(StreamAggregateConfig.CONSUMER_PARALLELISM);
+
+            SingleOutputStreamOperator<Tuple3<String, String, String>> parseDataMap = streamSource.map(new MapParseFunction()).name("ParseDataMap")
+                    .setParallelism(StreamAggregateConfig.PARSE_PARALLELISM);
+
+            WindowedStream<Tuple3<String, String, String>, String, TimeWindow> window = parseDataMap.keyBy(new KeyByFunction())
+                    .window(TumblingProcessingTimeWindows.of(Time.seconds(StreamAggregateConfig.COUNT_WINDOW_TIME)));
+
+            SingleOutputStreamOperator<String> metricCountWindow = window.process(new CountWindowFunction()).name("MetricCountWindow")
+                    .setParallelism(StreamAggregateConfig.PARSE_PARALLELISM);
+
+            metricCountWindow.flatMap(new ResultFlatMapFunction()).name("ResultFlatMap").setParallelism(StreamAggregateConfig.PARSE_PARALLELISM)
+                    .addSink(Producer.getKafkaProducer()).name("LogSinkKafka").setParallelism(StreamAggregateConfig.PARSE_PARALLELISM);
+
+            environment.execute(args[0]);
+        } catch (Exception e) {
+            logger.error("This Flink task start ERROR! Exception information is :" + e);
+        }
+
+    }
+
+}
--- a/src/main/java/com/zdjizhi/utils/exception/AnalysisException.java
+++ b/src/main/java/com/zdjizhi/utils/exception/AnalysisException.java
@@ -0,0 +1,18 @@
+package com.zdjizhi.utils.exception;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.storm.utils.execption
+ * @Description:
+ * @date 2021/3/259:42
+ */
+public class AnalysisException extends RuntimeException {
+
+    public AnalysisException() {
+    }
+
+    public AnalysisException(String message) {
+        super(message);
+    }
+
+}
--- a/src/main/java/com/zdjizhi/utils/functions/CountWindowFunction.java
+++ b/src/main/java/com/zdjizhi/utils/functions/CountWindowFunction.java
@@ -0,0 +1,105 @@
+package com.zdjizhi.utils.functions;
+
+import cn.hutool.log.Log;
+import cn.hutool.log.LogFactory;
+import com.zdjizhi.utils.JsonMapper;
+import com.zdjizhi.utils.StringUtil;
+import com.zdjizhi.utils.general.MetricFunctions;
+import com.zdjizhi.utils.json.JsonParseUtil;
+import org.apache.flink.api.java.tuple.Tuple3;
+import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
+import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
+import org.apache.flink.util.Collector;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.HashMap;
+import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.functions
+ * @Description:
+ * @date 2021/7/2113:55
+ */
+public class CountWindowFunction extends ProcessWindowFunction<Tuple3<String, String, String>, String, String, TimeWindow> {
+    private static final Logger logger = LoggerFactory.getLogger(CountWindowFunction.class);
+
+    private static HashMap<String, String[]> metricsMap = JsonParseUtil.getMetricsMap();
+    private static HashMap<String, String[]> actionMap = JsonParseUtil.getActionMap();
+    private HashMap<String, Map<String, Object>> cacheMap = new HashMap<>(32);
+    private static String resultTimeKey = JsonParseUtil.getTimeKey();
+
+    @Override
+    @SuppressWarnings("unchecked")
+    public void process(String key, Context context, Iterable<Tuple3<String, String, String>> input, Collector<String> output) {
+        try {
+            for (Tuple3<String, String, String> tuple : input) {
+                String label = tuple.f0;
+                //action中某个协议的所有function,如果没有就默认
+                String[] metricNames = actionMap.getOrDefault(label, actionMap.get("Default"));
+                String dimensions = tuple.f1;
+                String message = tuple.f2;
+                if (StringUtil.isNotBlank(message)){
+                    Map<String, Object> dimensionsObj = (Map<String, Object>) JsonMapper.fromJsonString(dimensions, Map.class);
+                    Map<String, Object> object = (Map<String, Object>) JsonMapper.fromJsonString(message, Map.class);
+
+                    Map<String, Object> cacheMessage = cacheMap.getOrDefault(dimensions, dimensionsObj);
+                    for (String name : metricNames) {
+                        String[] metrics = metricsMap.get(name);
+                        String function = metrics[0];
+                        String fieldName = metrics[1];
+                        functionSet(function, cacheMessage, name, cacheMessage.get(name), JsonParseUtil.getValue(object, fieldName));
+
+                    }
+                    cacheMap.put(dimensions, cacheMessage);
+                }
+            }
+
+            if (!cacheMap.isEmpty()) {
+                Long endTime = context.window().getEnd() / 1000;
+
+                for (String countKey : cacheMap.keySet()) {
+                    Map<String, Object> resultMap = cacheMap.get(countKey);
+                    JsonParseUtil.setValue(resultMap, resultTimeKey, endTime);
+                    output.collect(JsonMapper.toJsonString(resultMap));
+                }
+//                cacheMap.clear();
+            }
+
+        } catch (RuntimeException e) {
+            logger.error("windows count error,message:" + e);
+            e.printStackTrace();
+        } finally {
+            cacheMap.clear();
+        }
+    }
+
+    /**
+     * 根据schema描述对应字段进行操作的 函数集合
+     *
+     * @param function       函数名称
+     * @param cacheMessage   结果集
+     * @param nameValue      当前值
+     * @param fieldNameValue 新加值
+     */
+    private static void functionSet(String function, Map<String, Object> cacheMessage, String resultName, Object nameValue, Object fieldNameValue) {
+        switch (function) {
+            case "sum":
+                cacheMessage.put(resultName, MetricFunctions.longSum(nameValue, fieldNameValue));
+                break;
+            case "count":
+                cacheMessage.put(resultName, MetricFunctions.count(nameValue));
+                break;
+            case "unique_sip_num":
+                //TODO
+                break;
+            case "unique_cip_num":
+                //TODO
+                break;
+            default:
+                break;
+        }
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/functions/FilterNullFunction.java
+++ b/src/main/java/com/zdjizhi/utils/functions/FilterNullFunction.java
@@ -0,0 +1,17 @@
+package com.zdjizhi.utils.functions;
+
+import com.zdjizhi.utils.StringUtil;
+import org.apache.flink.api.common.functions.FilterFunction;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.functions
+ * @Description:
+ * @date 2021/5/2715:01
+ */
+public class FilterNullFunction implements FilterFunction<String> {
+    @Override
+    public boolean filter(String message) {
+        return StringUtil.isNotBlank(message);
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/functions/KeyByFunction.java
+++ b/src/main/java/com/zdjizhi/utils/functions/KeyByFunction.java
@@ -0,0 +1,19 @@
+package com.zdjizhi.utils.functions;
+
+import org.apache.flink.api.java.functions.KeySelector;
+import org.apache.flink.api.java.tuple.Tuple3;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.functions
+ * @Description:
+ * @date 2021/7/2112:13
+ */
+public class KeyByFunction implements KeySelector<Tuple3<String, String, String>, String> {
+
+    @Override
+    public String getKey(Tuple3<String, String, String> value) throws Exception {
+        //以map拼接的key分组
+        return value.f1;
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/functions/MapParseFunction.java
+++ b/src/main/java/com/zdjizhi/utils/functions/MapParseFunction.java
@@ -0,0 +1,122 @@
+package com.zdjizhi.utils.functions;
+
+import com.zdjizhi.common.StreamAggregateConfig;
+import com.zdjizhi.utils.JsonMapper;
+import com.zdjizhi.utils.StringUtil;
+import com.zdjizhi.utils.general.ParseFunctions;
+import com.zdjizhi.utils.json.JsonParseUtil;
+import org.apache.flink.api.common.functions.MapFunction;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.api.java.tuple.Tuple3;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.functions
+ * @Description:
+ * @date 2021/5/2715:01
+ */
+public class MapParseFunction implements MapFunction<String, Tuple3<String, String, String>> {
+    private static final Logger logger = LoggerFactory.getLogger(CountWindowFunction.class);
+
+    private static ArrayList<String[]> jobList = JsonParseUtil.getTransformsList();
+
+    private static HashMap<String, String> dimensionsMap = JsonParseUtil.getDimensionsMap();
+
+    @Override
+    @SuppressWarnings("unchecked")
+    public Tuple3<String, String, String> map(String message) {
+        try {
+            if (StringUtil.isNotBlank(message)) {
+                Map<String, Object> object = (Map<String, Object>) JsonMapper.fromJsonString(message, Map.class);
+                Map<String, Object> dimensionsObj = ParseFunctions.transDimensions(dimensionsMap, object);
+                if (ParseFunctions.filterLogs(object)) {
+                    for (String[] strings : jobList) {
+                        //函数名称
+                        String function = strings[0];
+                        //需要补全的字段的key
+                        String resultKeyName = strings[1];
+                        //原始日志字段key
+                        String logsKeyName = strings[2];
+                        //原始日志字段对应的值
+                        Object logsKeyValue = JsonParseUtil.getValue(object, strings[2]);
+                        //额外的参数的值
+                        String parameters = strings[3];
+
+                        switch (function) {
+                            case "dismantling":
+                                if (StringUtil.isNotBlank(parameters)) {
+                                    if (logsKeyValue != null) {
+                                        JsonParseUtil.setValue(message, logsKeyName, dismantlingUtils(parameters, logsKeyValue));
+                                    }
+                                }
+                                break;
+                            case "combination":
+                                if (StringUtil.isNotBlank(parameters)) {
+                                    if (logsKeyValue != null) {
+                                        combinationUtils(dimensionsObj, object, parameters, resultKeyName, logsKeyName);
+                                    }
+                                }
+                                break;
+                            case "hierarchy":
+//                                collector.emit(new Values(JsonParseUtil.getValue(object, logsKeyName), JsonMapper.toJsonString(dimensionsObj), JsonMapper.toJsonString(object)));
+                                return new Tuple3<>(JsonParseUtil.getString(object, logsKeyName), JsonMapper.toJsonString(dimensionsObj), JsonMapper.toJsonString(object));
+                            default:
+                                break;
+                        }
+                    }
+                }
+            }
+        } catch (RuntimeException e) {
+            logger.error("Map Parse error,message:" + e);
+            return new Tuple3<>("", "", "");
+        }
+        return new Tuple3<>("", "", "");
+    }
+
+    /**
+     * alignment ID替换操作
+     * 根据缓存中的AppId对应信息，获取当前AppId对应的具体名称。
+     *
+     * @param parameters 参数集
+     * @param fieldName  原始日志列名
+     */
+    private static String dismantlingUtils(String parameters, Object fieldName) {
+        String[] alignmentPars = parameters.split(StreamAggregateConfig.FORMAT_SPLITTER);
+        int digits = Integer.parseInt(alignmentPars[0]);
+        return fieldName.toString().split(StreamAggregateConfig.PROTOCOL_SPLITTER)[digits];
+    }
+
+    /**
+     * combination 拼接操作
+     * 获取方法函数中 parameters 字段，结构 "parameters": "abc,/" ;abc为要拼接字段 /为拼接的分隔符
+     *
+     * @param parameters 参数集
+     * @param message    原始日志
+     * @param fieldName  原始日志列名
+     */
+    private static void combinationUtils(Map<String, Object> dimensions, Map<String, Object> message, String parameters, String resultKeyName, String fieldName) {
+        String[] combinationPars = parameters.split(StreamAggregateConfig.FORMAT_SPLITTER);
+        Object combinationField = JsonParseUtil.getValue(message, combinationPars[0]);
+        if (combinationField != null) {
+            String separator = combinationPars[1];
+            Object fieldNameValue = JsonParseUtil.getValue(message, fieldName);
+            if (fieldNameValue != null) {
+                String combinationValue = fieldNameValue + separator + combinationField;
+                dimensions.put(resultKeyName, combinationValue);
+                JsonParseUtil.setValue(message, fieldName, combinationValue);
+            } else {
+                dimensions.put(resultKeyName, combinationField);
+                JsonParseUtil.setValue(message, fieldName, combinationField);
+
+            }
+        }
+    }
+
+}
--- a/src/main/java/com/zdjizhi/utils/functions/MyTimeAssigner.java
+++ b/src/main/java/com/zdjizhi/utils/functions/MyTimeAssigner.java
@@ -0,0 +1,22 @@
+package com.zdjizhi.utils.functions;
+
+import com.zdjizhi.utils.JsonMapper;
+import com.zdjizhi.utils.json.JsonParseUtil;
+import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner;
+
+import java.util.Map;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.functions
+ * @Description:
+ * @date 2021/7/2117:32
+ */
+public class MyTimeAssigner implements SerializableTimestampAssigner<String> {
+    @Override
+    public long extractTimestamp(String element, long recordTimestamp) {
+        Map<String, Object> object = (Map<String, Object>) JsonMapper.fromJsonString(element, Map.class);
+
+        return JsonParseUtil.getLong(object,"common_end_time");
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/functions/ResultFlatMapFunction.java
+++ b/src/main/java/com/zdjizhi/utils/functions/ResultFlatMapFunction.java
@@ -0,0 +1,43 @@
+package com.zdjizhi.utils.functions;
+
+import com.zdjizhi.common.StreamAggregateConfig;
+import com.zdjizhi.utils.JsonMapper;
+import com.zdjizhi.utils.StringUtil;
+import com.zdjizhi.utils.json.JsonParseUtil;
+import org.apache.flink.api.common.functions.FlatMapFunction;
+import org.apache.flink.util.Collector;
+
+import java.util.Map;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.functions
+ * @Description:
+ * @date 2021/7/2114:52
+ */
+public class ResultFlatMapFunction implements FlatMapFunction<String, String> {
+    private static String[] jobList = JsonParseUtil.getHierarchy();
+
+    @Override
+    @SuppressWarnings("unchecked")
+    public void flatMap(String value, Collector out) throws Exception {
+        StringBuffer stringBuffer = new StringBuffer();
+        String name = jobList[0];
+        Map<String, Object> jsonObject = (Map<String, Object>) JsonMapper.fromJsonString(value, Map.class);
+        String protocol = JsonParseUtil.getString(jsonObject, name);
+        if (StringUtil.isNotBlank(protocol)) {
+            String[] protocolIds = protocol.split(StreamAggregateConfig.PROTOCOL_SPLITTER);
+            for (String proto : protocolIds) {
+                if (StringUtil.isBlank(stringBuffer.toString())) {
+                    stringBuffer.append(proto);
+                    jsonObject.put(name, stringBuffer.toString());
+                    out.collect(JsonMapper.toJsonString(jsonObject));
+                } else {
+                    stringBuffer.append(jobList[1]).append(proto);
+                    jsonObject.put(name, stringBuffer.toString());
+                    out.collect(JsonMapper.toJsonString(jsonObject));
+                }
+            }
+        }
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/general/MetricFunctions.java
+++ b/src/main/java/com/zdjizhi/utils/general/MetricFunctions.java
@@ -0,0 +1,37 @@
+package com.zdjizhi.utils.general;
+
+
+import com.zdjizhi.utils.json.JsonTypeUtils;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.storm.utils.general
+ * @Description:
+ * @date 2021/7/2015:31
+ */
+public class MetricFunctions {
+    /**
+     * Long类型的数据求和
+     *
+     * @param value1 第一个值
+     * @param value2 第二个值
+     * @return value1 + value2
+     */
+    public static Long longSum(Object value1, Object value2) {
+        Long res1 = JsonTypeUtils.checkLongValue(value1);
+        Long res2 = JsonTypeUtils.checkLongValue(value2);
+
+        return res1 + res2;
+    }
+
+    /**
+     * 计算Count
+     *
+     * @param count 当前count值
+     * @return count+1
+     */
+    public static Long count(Object count) {
+
+        return JsonTypeUtils.checkLongValue(count) + 1L;
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/general/ParseFunctions.java
+++ b/src/main/java/com/zdjizhi/utils/general/ParseFunctions.java
@@ -0,0 +1,97 @@
+package com.zdjizhi.utils.general;
+
+
+import cn.hutool.log.Log;
+import cn.hutool.log.LogFactory;
+import com.zdjizhi.utils.StringUtil;
+import com.zdjizhi.utils.json.JsonParseUtil;
+
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * @ClassNameAggregateUtils
+ * @Author lixkvip@126.com
+ * @Date2020/6/23 14:04
+ * @Version V1.0
+ **/
+public class ParseFunctions {
+    /**
+     * 获取filters条件map
+     */
+    private static HashMap<String, String> filtersMap = JsonParseUtil.getFiltersMap();
+
+
+    /**
+     * 解析 dimensions 字段集
+     *
+     * @param dimensions 维度集
+     * @param message    原始日志
+     * @return 结果维度集
+     */
+    public static Map<String, Object> transDimensions(Map<String, String> dimensions, Map<String, Object> message) {
+        HashMap<String, Object> dimensionsObj = new HashMap<>(16);
+
+        for (String dimension : dimensions.keySet()) {
+            dimensionsObj.put(dimension, JsonParseUtil.getValue(message, dimensions.get(dimension)));
+        }
+
+        return dimensionsObj;
+    }
+
+    /**
+     * 构建filters过滤函数，根据Schema指定的函数对日志进行过滤
+     *
+     * @param object 原始日志
+     * @return true or false
+     */
+    public static boolean filterLogs(Map<String, Object> object) {
+        boolean available = false;
+
+        for (String key : filtersMap.keySet()) {
+            switch (key) {
+                case "notempty":
+                    Object value = JsonParseUtil.getValue(object, filtersMap.get(key));
+                    if (value != null && StringUtil.isNotBlank(value.toString())) {
+                        available = true;
+                    }
+                    break;
+                default:
+            }
+        }
+        return available;
+    }
+
+//    /**
+//     * 更新缓存中的对应关系map
+//     *
+//     * @param hashMap 当前缓存对应关系map
+//     */
+//    public static void updateAppRelation(HashMap<Integer, String> hashMap) {
+//        try {
+//            Long begin = System.currentTimeMillis();
+//            String schema = HttpClientUtil.requestByGetMethod(StreamAggregateConfig.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 (hashMap.containsKey(key)) {
+//                        if (!value.equals(hashMap.get(key))) {
+//                            hashMap.put(key, value);
+//                        }
+//                    } else {
+//                        hashMap.put(key, value);
+//                    }
+//                }
+//                logger.warn("更新缓存对应关系用时:" + (begin - System.currentTimeMillis()));
+//                logger.warn("更新缓存中的对应的APP关系,拉取接口数据长度:[" + objects.size());
+//            }
+//        } catch (RuntimeException e) {
+//            logger.error("更新缓存APP-ID失败,异常：" + e);
+//        }
+//    }
+
+}
--- a/src/main/java/com/zdjizhi/utils/http/HttpClientUtil.java
+++ b/src/main/java/com/zdjizhi/utils/http/HttpClientUtil.java
@@ -0,0 +1,77 @@
+package com.zdjizhi.utils.http;
+
+import cn.hutool.log.Log;
+import cn.hutool.log.LogFactory;
+import org.apache.commons.io.IOUtils;
+import org.apache.http.HttpEntity;
+import org.apache.http.client.methods.CloseableHttpResponse;
+import org.apache.http.client.methods.HttpGet;
+import org.apache.http.impl.client.CloseableHttpClient;
+import org.apache.http.impl.client.HttpClients;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStreamReader;
+
+/**
+ * 获取网关schema的工具类
+ *
+ * @author qidaijie
+ */
+public class HttpClientUtil {
+    private static final Log logger = LogFactory.get();
+
+    /**
+     * 请求网关获取schema
+     *
+     * @param http 网关url
+     * @return schema
+     */
+    public static String requestByGetMethod(String http) {
+        CloseableHttpClient httpClient = HttpClients.createDefault();
+        StringBuilder entityStringBuilder;
+
+        HttpGet get = new HttpGet(http);
+        BufferedReader bufferedReader = null;
+        CloseableHttpResponse httpResponse = null;
+        try {
+            httpResponse = httpClient.execute(get);
+            HttpEntity entity = httpResponse.getEntity();
+            entityStringBuilder = new StringBuilder();
+            if (null != entity) {
+                bufferedReader = new BufferedReader(new InputStreamReader(httpResponse.getEntity().getContent(), "UTF-8"), 8 * 1024);
+                int intC;
+                while ((intC = bufferedReader.read()) != -1) {
+                    char c = (char) intC;
+                    if (c == '\n') {
+                        break;
+                    }
+                    entityStringBuilder.append(c);
+                }
+
+                return entityStringBuilder.toString();
+            }
+        } catch (IOException e) {
+            logger.error("Get Schema from Query engine ERROR! Exception message is:" + e);
+        } finally {
+            if (httpClient != null) {
+                try {
+                    httpClient.close();
+                } catch (IOException e) {
+                    logger.error("Close HTTP Client ERROR! Exception messgae is:" + e);
+                }
+            }
+            if (httpResponse != null) {
+                try {
+                    httpResponse.close();
+                } catch (IOException e) {
+                    logger.error("Close httpResponse ERROR! Exception messgae is:" + e);
+                }
+            }
+            if (bufferedReader != null) {
+                IOUtils.closeQuietly(bufferedReader);
+            }
+        }
+        return "";
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/json/JsonParseUtil.java
+++ b/src/main/java/com/zdjizhi/utils/json/JsonParseUtil.java
@@ -0,0 +1,357 @@
+package com.zdjizhi.utils.json;
+
+
+import cn.hutool.log.Log;
+import cn.hutool.log.LogFactory;
+import com.jayway.jsonpath.DocumentContext;
+import com.jayway.jsonpath.JsonPath;
+import com.zdjizhi.common.StreamAggregateConfig;
+import com.zdjizhi.utils.JsonMapper;
+import com.zdjizhi.utils.http.HttpClientUtil;
+import net.sf.cglib.beans.BeanGenerator;
+import net.sf.cglib.beans.BeanMap;
+
+import java.util.*;
+
+/**
+ * 使用FastJson解析json的工具类
+ *
+ * @author qidaijie
+ */
+public class JsonParseUtil {
+
+    private static final Log logger = LogFactory.get();
+
+    /**
+     * 模式匹配，给定一个类型字符串返回一个类类型
+     *
+     * @param type 类型
+     * @return 类类型
+     */
+
+    public static Class getClassName(String type) {
+        Class clazz;
+
+        switch (type) {
+            case "int":
+                clazz = Integer.class;
+                break;
+            case "string":
+                clazz = String.class;
+                break;
+            case "long":
+                clazz = long.class;
+                break;
+            case "array":
+                clazz = List.class;
+                break;
+            case "double":
+                clazz = double.class;
+                break;
+            case "float":
+                clazz = float.class;
+                break;
+            case "char":
+                clazz = char.class;
+                break;
+            case "byte":
+                clazz = byte.class;
+                break;
+            case "boolean":
+                clazz = boolean.class;
+                break;
+            case "short":
+                clazz = short.class;
+                break;
+            default:
+                clazz = String.class;
+        }
+        return clazz;
+    }
+
+
+    /**
+     * 获取属性值的方法
+     *
+     * @param obj      对象
+     * @param property key
+     * @return 属性的值
+     */
+    public static Object getValue(Object obj, String property) {
+
+        try {
+            BeanMap beanMap = BeanMap.create(obj);
+            if (beanMap.containsKey(property)) {
+                return beanMap.get(property);
+            } else {
+                return null;
+            }
+        } catch (RuntimeException e) {
+            logger.error("获取json-value异常，异常key：" + property + "异常信息为：" + e);
+            return null;
+        }
+    }
+
+    /**
+     * 获取属性值的方法
+     *
+     * @param jsonMap  原始日志
+     * @param property key
+     * @return 属性的值
+     */
+    public static Object getValue(Map<String, Object> jsonMap, String property) {
+        try {
+            return jsonMap.getOrDefault(property, null);
+        } catch (RuntimeException e) {
+            logger.error("获取json-value异常，异常key：" + property + "异常信息为：" + e);
+            return null;
+        }
+    }
+
+    /**
+     * long 类型检验转换方法,若为空返回基础值
+     *
+     * @return Long value
+     */
+    public static Long getLong(Map<String, Object> jsonMap, String property) {
+        Object value = jsonMap.getOrDefault(property, null);
+        Long longVal = TypeUtils.castToLong(value);
+
+        if (longVal == null) {
+            return 0L;
+        }
+
+        return longVal;
+    }
+
+    public static String getString(Map<String, Object> jsonMap, String property) {
+        Object value = jsonMap.getOrDefault(property, null);
+        if (value == null) {
+            return null;
+        }
+
+        if (value instanceof Map) {
+            return JsonMapper.toJsonString(value);
+        }
+
+        if (value instanceof List) {
+            return JsonMapper.toJsonString(value);
+        }
+
+        return value.toString();
+    }
+
+    /**
+     * 更新属性值的方法
+     *
+     * @param jsonMap  原始日志json map
+     * @param property 更新的key
+     * @param value    更新的值
+     */
+    public static void setValue(Map<String, Object> jsonMap, String property, Object value) {
+        try {
+            jsonMap.put(property, value);
+        } catch (RuntimeException e) {
+            logger.error("赋予实体类错误类型数据", e);
+        }
+    }
+
+    /**
+     * 更新属性值的方法
+     *
+     * @param obj      对象
+     * @param property 更新的key
+     * @param value    更新的值
+     */
+    public static void setValue(Object obj, String property, Object value) {
+        try {
+            BeanMap beanMap = BeanMap.create(obj);
+            beanMap.put(property, value);
+        } catch (ClassCastException e) {
+            logger.error("赋予实体类错误类型数据", e);
+        }
+    }
+
+    /**
+     * 根据反射生成对象的方法
+     *
+     * @param properties 反射类用的map
+     * @return 生成的Object类型的对象
+     */
+    public static Object generateObject(Map properties) {
+        BeanGenerator generator = new BeanGenerator();
+        Set keySet = properties.keySet();
+        for (Object aKeySet : keySet) {
+            String key = (String) aKeySet;
+            generator.addProperty(key, (Class) properties.get(key));
+        }
+        return generator.create();
+    }
+
+    /**
+     * 通过获取String类型的网关schema链接来获取map，用于生成一个Object类型的对象
+     *
+     * @return 用于反射生成schema类型的对象的一个map集合
+     */
+    public static HashMap<String, String[]> getActionMap() {
+        HashMap<String, String[]> map = new HashMap<>(16);
+
+        String schema = HttpClientUtil.requestByGetMethod(StreamAggregateConfig.SCHEMA_HTTP);
+        DocumentContext parse = JsonPath.parse(schema);
+
+        List<Object> actions = parse.read("$.data.doc.action[*]");
+
+        for (Object action : actions) {
+            map.put(JsonPath.read(action, "$.label"),
+                    JsonPath.read(action, "$.metrics").toString().split(StreamAggregateConfig.FORMAT_SPLITTER));
+//            System.out.println(JsonPath.read(action, "$.label")+JsonPath.read(action, "$.metrics").toString());
+        }
+
+        return map;
+    }
+
+    /**
+     * 通过获取String类型的网关schema链接来获取map，用于生成一个Object类型的对象
+     *
+     * @return 用于反射生成schema类型的对象的一个map集合
+     */
+    public static HashMap<String, String[]> getMetricsMap() {
+        HashMap<String, String[]> map = new HashMap<>(16);
+
+        String schema = HttpClientUtil.requestByGetMethod(StreamAggregateConfig.SCHEMA_HTTP);
+        DocumentContext parse = JsonPath.parse(schema);
+
+        List<Object> metrics = parse.read("$.data.doc.metrics[*]");
+
+        for (Object metric : metrics) {
+            map.put(JsonPath.read(metric, "$.name"),
+                    new String[]{JsonPath.read(metric, "$.function"), JsonPath.read(metric, "$.fieldName")}
+            );
+        }
+        return map;
+    }
+
+    /**
+     * 通过获取String类型的网关schema链接来获取map，用于生成一个Object类型的对象
+     *
+     * @return 用于反射生成schema类型的对象的一个map集合
+     */
+    public static String getTimeKey() {
+
+        String schema = HttpClientUtil.requestByGetMethod(StreamAggregateConfig.SCHEMA_HTTP);
+
+        return JsonPath.read(schema, "$.data.doc.timestamp.name");
+    }
+
+
+    /**
+     * 通过获取String类型的网关schema链接来获取map，用于生成一个Object类型的对象
+     *
+     * @return 用于反射生成schema类型的对象的一个map集合
+     */
+    public static HashMap<String, Class> getResultLogMap() {
+        HashMap<String, Class> map = new HashMap<>(16);
+
+        String schema = HttpClientUtil.requestByGetMethod(StreamAggregateConfig.SCHEMA_HTTP);
+        DocumentContext parse = JsonPath.parse(schema);
+
+        List<Object> dimensions = parse.read("$.data.doc.dimensions[*]");
+
+        for (Object dimension : dimensions) {
+            map.put(JsonPath.read(dimension, "$.name"),
+                    JsonParseUtil.getClassName(JsonPath.read(dimension, "$.type")));
+        }
+
+        List<Object> metrics = parse.read("$.data.doc.metrics[*]");
+        for (Object metric : metrics) {
+            map.put(JsonPath.read(metric, "$.name"),
+                    JsonParseUtil.getClassName(JsonPath.read(metric, "$.type")));
+        }
+
+        return map;
+    }
+
+    /**
+     * 通过获取String类型的网关schema链接来获取map，用于生成一个Object类型的对象
+     *
+     * @return 用于反射生成schema类型的对象的一个map集合
+     */
+    public static HashMap<String, String> getDimensionsMap() {
+        HashMap<String, String> map = new HashMap<>(16);
+
+        String schema = HttpClientUtil.requestByGetMethod(StreamAggregateConfig.SCHEMA_HTTP);
+        DocumentContext parse = JsonPath.parse(schema);
+
+        List<Object> dimensions = parse.read("$.data.doc.dimensions[*]");
+
+        for (Object dimension : dimensions) {
+            map.put(JsonPath.read(dimension, "$.name"),
+                    JsonPath.read(dimension, "$.fieldName"));
+        }
+
+        return map;
+    }
+
+
+    /**
+     * 通过获取String类型的网关schema链接来获取map，用于生成一个Object类型的对象
+     *
+     * @return 用于反射生成schema类型的对象的一个map集合
+     */
+    public static HashMap<String, String> getFiltersMap() {
+        HashMap<String, String> map = new HashMap<>(16);
+        String schema = HttpClientUtil.requestByGetMethod(StreamAggregateConfig.SCHEMA_HTTP);
+        DocumentContext parse = JsonPath.parse(schema);
+
+        List<Object> filters = parse.read("$.data.doc.filters[*]");
+        for (Object filter : filters) {
+            map.put(JsonPath.read(filter, "$.type"), JsonPath.read(filter, "$.fieldName"));
+        }
+
+        return map;
+    }
+
+
+    /**
+     * 根据http链接获取schema，解析之后返回一个任务列表 (useList toList funcList paramlist)
+     *
+     * @return 任务列表
+     */
+    public static ArrayList<String[]> getTransformsList() {
+        ArrayList<String[]> list = new ArrayList<>();
+        String schema = HttpClientUtil.requestByGetMethod(StreamAggregateConfig.SCHEMA_HTTP);
+        DocumentContext parse = JsonPath.parse(schema);
+
+        List<Object> transforms = parse.read("$.data.doc.transforms[*]");
+        for (Object transform : transforms) {
+            String function = JsonPath.read(transform, "$.function").toString();
+            String name = JsonPath.read(transform, "$.name").toString();
+            String fieldName = JsonPath.read(transform, "$.fieldName").toString();
+            String parameters = JsonPath.read(transform, "$.parameters").toString();
+            list.add(new String[]{function, name, fieldName, parameters});
+        }
+
+        return list;
+    }
+
+    /**
+     * 根据http链接获取schema，解析之后返回一个任务列表 (useList toList funcList paramlist)
+     *
+     * @return 任务列表
+     */
+    public static String[] getHierarchy() {
+        String schema = HttpClientUtil.requestByGetMethod(StreamAggregateConfig.SCHEMA_HTTP);
+        DocumentContext parse = JsonPath.parse(schema);
+        List<Object> transforms = parse.read("$.data.doc.transforms[*]");
+        for (Object transform : transforms) {
+            String function = JsonPath.read(transform, "$.function").toString();
+            if ("hierarchy".equals(function)) {
+                String name = JsonPath.read(transform, "$.name").toString();
+                String parameters = JsonPath.read(transform, "$.parameters").toString();
+                return new String[]{name, parameters};
+            }
+        }
+        return null;
+    }
+
+}
--- a/src/main/java/com/zdjizhi/utils/json/JsonTypeUtils.java
+++ b/src/main/java/com/zdjizhi/utils/json/JsonTypeUtils.java
@@ -0,0 +1,142 @@
+package com.zdjizhi.utils.json;
+
+import cn.hutool.log.Log;
+import cn.hutool.log.LogFactory;
+import com.zdjizhi.utils.JsonMapper;
+import com.zdjizhi.utils.exception.AnalysisException;
+
+import java.util.List;
+import java.util.Map;
+
+/**
+ * @author qidaijie
+ * @Package PACKAGE_NAME
+ * @Description:
+ * @date 2021/7/1217:34
+ */
+public class JsonTypeUtils {
+    private static final Log logger = LogFactory.get();
+    /**
+     * String 类型检验转换方法
+     *
+     * @param value json value
+     * @return String value
+     */
+    public static String checkString(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        if (value instanceof Map) {
+            return JsonMapper.toJsonString(value);
+        }
+
+        if (value instanceof List) {
+            return JsonMapper.toJsonString(value);
+        }
+
+        return value.toString();
+    }
+
+    /**
+     * array 类型检验转换方法
+     *
+     * @param value json value
+     * @return List value
+     */
+    private static Map checkObject(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        if (value instanceof Map) {
+            return (Map) value;
+        }
+
+        throw new AnalysisException("can not cast to map, value : " + value);
+    }
+
+    /**
+     * array 类型检验转换方法
+     *
+     * @param value json value
+     * @return List value
+     */
+    private static List checkArray(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        if (value instanceof List) {
+            return (List) value;
+        }
+
+        throw new AnalysisException("can not cast to List, value : " + value);
+    }
+
+    private static Long checkLong(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        return TypeUtils.castToLong(value);
+    }
+
+    /**
+     * long 类型检验转换方法,若为空返回基础值
+     *
+     * @param value json value
+     * @return Long value
+     */
+    public static long checkLongValue(Object value) {
+
+        Long longVal = TypeUtils.castToLong(value);
+
+        if (longVal == null) {
+            return 0L;
+        }
+
+        return longVal;
+    }
+
+    /**
+     * Double 类型校验转换方法
+     *
+     * @param value json value
+     * @return Double value
+     */
+    private static Double checkDouble(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        return TypeUtils.castToDouble(value);
+    }
+
+
+    private static Integer checkInt(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        return TypeUtils.castToInt(value);
+    }
+
+
+    /**
+     * int 类型检验转换方法,若为空返回基础值
+     *
+     * @param value json value
+     * @return int value
+     */
+    private static int getIntValue(Object value) {
+
+        Integer intVal = TypeUtils.castToInt(value);
+
+        if (intVal == null) {
+            return 0;
+        }
+        return intVal;
+    }
+
+}
--- a/src/main/java/com/zdjizhi/utils/json/TypeUtils.java
+++ b/src/main/java/com/zdjizhi/utils/json/TypeUtils.java
@@ -0,0 +1,180 @@
+package com.zdjizhi.utils.json;
+
+import cn.hutool.log.Log;
+import cn.hutool.log.LogFactory;
+import com.zdjizhi.common.StreamAggregateConfig;
+import com.zdjizhi.utils.StringUtil;
+import com.zdjizhi.utils.exception.AnalysisException;
+
+
+/**
+ * @author qidaijie
+ * @Package PACKAGE_NAME
+ * @Description:
+ * @date 2021/7/1218:20
+ */
+public class TypeUtils {
+    private static final Log logger = LogFactory.get();
+
+    /**
+     * Integer 类型判断方法
+     *
+     * @param value json value
+     * @return Integer value or null
+     */
+    public static Object castToIfFunction(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        if (value instanceof String) {
+            return value.toString();
+        }
+
+        if (value instanceof Integer) {
+            return ((Number) value).intValue();
+        }
+
+        if (value instanceof Long) {
+            return ((Number) value).longValue();
+        }
+
+//        if (value instanceof Map) {
+//            return (Map) value;
+//        }
+//
+//        if (value instanceof List) {
+//            return Collections.singletonList(value.toString());
+//        }
+
+        if (value instanceof Boolean) {
+            return (Boolean) value ? 1 : 0;
+        }
+
+        throw new AnalysisException("can not cast to int, value : " + value);
+    }
+
+    /**
+     * Integer 类型判断方法
+     *
+     * @param value json value
+     * @return Integer value or null
+     */
+    static Integer castToInt(Object value) {
+
+        if (value == null) {
+            return null;
+        }
+
+        if (value instanceof Integer) {
+            return (Integer) value;
+        }
+
+        //此判断数值超范围不抛出异常，会截取成对应类型数值
+//        if (value instanceof Number) {
+//            return ((Number) value).intValue();
+//        }
+
+        if (value instanceof String) {
+            String strVal = (String) value;
+            if (StringUtil.isBlank(strVal)) {
+                return null;
+            }
+
+            //将 10,20 类数据转换为10
+            if (strVal.contains(StreamAggregateConfig.FORMAT_SPLITTER)) {
+                strVal = strVal.split(StreamAggregateConfig.FORMAT_SPLITTER)[0];
+            }
+
+            try {
+                return Integer.parseInt(strVal);
+            } catch (NumberFormatException ex) {
+                logger.error("String change Integer Error,The error Str is:" + strVal);
+            }
+        }
+
+        if (value instanceof Boolean) {
+            return (Boolean) value ? 1 : 0;
+        }
+
+        throw new AnalysisException("can not cast to int, value : " + value);
+    }
+
+    /**
+     * Double类型判断方法
+     *
+     * @param value json value
+     * @return double value or null
+     */
+    static Double castToDouble(Object value) {
+
+        if (value instanceof Double) {
+            return (Double) value;
+        }
+
+        //此判断数值超范围不抛出异常，会截取成对应类型数值
+//        if (value instanceof Number) {
+//            return ((Number) value).doubleValue();
+//        }
+
+        if (value instanceof String) {
+            String strVal = (String) value;
+
+            if (StringUtil.isBlank(strVal)) {
+                return null;
+            }
+
+            //将 10,20 类数据转换为10
+            if (strVal.contains(StreamAggregateConfig.FORMAT_SPLITTER)) {
+                strVal = strVal.split(StreamAggregateConfig.FORMAT_SPLITTER)[0];
+            }
+
+            try {
+                return Double.parseDouble(strVal);
+            } catch (NumberFormatException ex) {
+                logger.error("String change Double Error,The error Str is:" + strVal);
+            }
+        }
+
+        throw new AnalysisException("can not cast to double, value : " + value);
+    }
+
+    /**
+     * Long类型判断方法
+     *
+     * @param value json value
+     * @return (Long)value or null
+     */
+    static Long castToLong(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+//        此判断数值超范围不抛出异常，会截取成对应类型数值
+        if (value instanceof Number) {
+            return ((Number) value).longValue();
+        }
+
+        if (value instanceof String) {
+            String strVal = (String) value;
+
+            if (StringUtil.isBlank(strVal)) {
+                return null;
+            }
+
+            //将 10,20 类数据转换为10
+            if (strVal.contains(StreamAggregateConfig.FORMAT_SPLITTER)) {
+                strVal = strVal.split(StreamAggregateConfig.FORMAT_SPLITTER)[0];
+            }
+
+            try {
+                return Long.parseLong(strVal);
+            } catch (NumberFormatException ex) {
+                logger.error("String change Long Error,The error Str is:" + strVal);
+            }
+        }
+
+        throw new AnalysisException("can not cast to long, value : " + value);
+    }
+
+}
--- a/src/main/java/com/zdjizhi/utils/kafka/CertUtils.java
+++ b/src/main/java/com/zdjizhi/utils/kafka/CertUtils.java
@@ -0,0 +1,36 @@
+package com.zdjizhi.utils.kafka;
+
+import com.zdjizhi.common.StreamAggregateConfig;
+import org.apache.kafka.common.config.SslConfigs;
+
+import java.util.Properties;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.kafka
+ * @Description:
+ * @date 2021/9/610:37
+ */
+class CertUtils {
+    static void chooseCert(String type, Properties properties) {
+        switch (type) {
+            case "SSL":
+                properties.put("security.protocol", "SSL");
+                properties.put(SslConfigs.SSL_ENDPOINT_IDENTIFICATION_ALGORITHM_CONFIG, "");
+                properties.put("ssl.keystore.location", StreamAggregateConfig.TOOLS_LIBRARY + "keystore.jks");
+                properties.put("ssl.keystore.password", StreamAggregateConfig.KAFKA_PIN);
+                properties.put("ssl.truststore.location", StreamAggregateConfig.TOOLS_LIBRARY + "truststore.jks");
+                properties.put("ssl.truststore.password", StreamAggregateConfig.KAFKA_PIN);
+                properties.put("ssl.key.password", StreamAggregateConfig.KAFKA_PIN);
+                break;
+            case "SASL":
+                properties.put("security.protocol", "SASL_PLAINTEXT");
+                properties.put("sasl.mechanism", "PLAIN");
+                properties.put("sasl.jaas.config", "org.apache.kafka.common.security.plain.PlainLoginModule required username="
+                        + StreamAggregateConfig.KAFKA_USER + " password=" + StreamAggregateConfig.KAFKA_PIN + ";");
+                break;
+            default:
+        }
+
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/kafka/Consumer.java
+++ b/src/main/java/com/zdjizhi/utils/kafka/Consumer.java
@@ -0,0 +1,42 @@
+package com.zdjizhi.utils.kafka;
+
+import com.zdjizhi.common.StreamAggregateConfig;
+import org.apache.flink.api.common.serialization.SimpleStringSchema;
+import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.common.config.SslConfigs;
+
+import java.util.Properties;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.kafka
+ * @Description:
+ * @date 2021/6/813:54
+ */
+public class Consumer {
+    private static Properties createConsumerConfig() {
+        Properties properties = new Properties();
+        properties.put("bootstrap.servers", StreamAggregateConfig.INPUT_KAFKA_SERVERS);
+        properties.put("group.id", StreamAggregateConfig.GROUP_ID);
+        properties.put("session.timeout.ms", "60000");
+        properties.put("max.poll.records", 3000);
+        properties.put("max.partition.fetch.bytes", 31457280);
+        properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
+        properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
+
+        CertUtils.chooseCert(StreamAggregateConfig.KAFKA_SOURCE_PROTOCOL,properties);
+
+        return properties;
+    }
+
+    public static FlinkKafkaConsumer<String> getKafkaConsumer() {
+        FlinkKafkaConsumer<String> kafkaConsumer = new FlinkKafkaConsumer<>(StreamAggregateConfig.INPUT_KAFKA_TOPIC,
+                new SimpleStringSchema(), createConsumerConfig());
+
+        kafkaConsumer.setCommitOffsetsOnCheckpoints(true);
+        kafkaConsumer.setStartFromGroupOffsets();
+
+        return kafkaConsumer;
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/kafka/Producer.java
+++ b/src/main/java/com/zdjizhi/utils/kafka/Producer.java
@@ -0,0 +1,53 @@
+package com.zdjizhi.utils.kafka;
+
+import com.zdjizhi.common.StreamAggregateConfig;
+import org.apache.flink.api.common.serialization.SimpleStringSchema;
+import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
+import org.apache.kafka.clients.producer.ProducerConfig;
+import org.apache.kafka.common.config.SslConfigs;
+
+import java.util.Optional;
+import java.util.Properties;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi.utils.kafka
+ * @Description:
+ * @date 2021/6/814:04
+ */
+public class Producer {
+
+    private static Properties createProducerConfig() {
+        Properties properties = new Properties();
+        properties.put("bootstrap.servers", StreamAggregateConfig.OUTPUT_KAFKA_SERVERS);
+        properties.put("acks", StreamAggregateConfig.PRODUCER_ACK);
+        properties.put("retries", StreamAggregateConfig.RETRIES);
+        properties.put("linger.ms", StreamAggregateConfig.LINGER_MS);
+        properties.put("request.timeout.ms", StreamAggregateConfig.REQUEST_TIMEOUT_MS);
+        properties.put("batch.size", StreamAggregateConfig.BATCH_SIZE);
+        properties.put("buffer.memory", StreamAggregateConfig.BUFFER_MEMORY);
+        properties.put("max.request.size", StreamAggregateConfig.MAX_REQUEST_SIZE);
+        properties.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, StreamAggregateConfig.PRODUCER_KAFKA_COMPRESSION_TYPE);
+
+        CertUtils.chooseCert(StreamAggregateConfig.KAFKA_SINK_PROTOCOL, properties);
+
+        return properties;
+    }
+
+
+    public static FlinkKafkaProducer<String> getKafkaProducer() {
+        FlinkKafkaProducer<String> kafkaProducer = new FlinkKafkaProducer<String>(
+                StreamAggregateConfig.OUTPUT_KAFKA_TOPIC,
+                new SimpleStringSchema(),
+                createProducerConfig(), Optional.empty());
+
+        //启用此选项将使生产者仅记录失败日志而不是捕获和重新抛出它们
+        kafkaProducer.setLogFailuresOnly(false);
+
+        //写入kafka的消息携带时间戳
+//        kafkaProducer.setWriteTimestampToKafka(true);
+
+
+        return kafkaProducer;
+    }
+}
--- a/src/main/java/com/zdjizhi/utils/system/StreamAggregateConfigurations.java
+++ b/src/main/java/com/zdjizhi/utils/system/StreamAggregateConfigurations.java
@@ -0,0 +1,70 @@
+package com.zdjizhi.utils.system;
+
+import com.zdjizhi.utils.StringUtil;
+
+import java.io.IOException;
+import java.util.Locale;
+import java.util.Properties;
+
+
+/**
+ * @author Administrator
+ */
+
+public final class StreamAggregateConfigurations {
+
+    private static Properties propKafka = new Properties();
+    private static Properties propService = new Properties();
+
+
+    public static String getStringProperty(Integer type, String key) {
+        if (type == 0) {
+            return propService.getProperty(key);
+        } else if (type == 1) {
+            return propKafka.getProperty(key);
+        } else {
+            return null;
+        }
+
+    }
+
+    public static Integer getIntProperty(Integer type, String key) {
+        if (type == 0) {
+            return Integer.parseInt(propService.getProperty(key));
+        } else if (type == 1) {
+            return Integer.parseInt(propKafka.getProperty(key));
+        } else {
+            return null;
+        }
+    }
+
+    public static Long getLongProperty(Integer type, String key) {
+        if (type == 0) {
+            return Long.parseLong(propService.getProperty(key));
+        } else if (type == 1) {
+            return Long.parseLong(propKafka.getProperty(key));
+        } else {
+            return null;
+        }
+    }
+
+    public static Boolean getBooleanProperty(Integer type, String key) {
+        if (type == 0) {
+            return StringUtil.equals(propService.getProperty(key).toLowerCase().trim().toUpperCase(Locale.ENGLISH), "true");
+        } else if (type == 1) {
+            return StringUtil.equals(propKafka.getProperty(key).toLowerCase().trim().toUpperCase(Locale.ENGLISH), "true");
+        } else {
+            return null;
+        }
+    }
+
+    static {
+        try {
+            propService.load(StreamAggregateConfigurations.class.getClassLoader().getResourceAsStream("service_flow_config.properties"));
+            propKafka.load(StreamAggregateConfigurations.class.getClassLoader().getResourceAsStream("default_config.properties"));
+        } catch (IOException | RuntimeException e) {
+            propKafka = null;
+            propService = null;
+        }
+    }
+}
--- a/src/main/java/log4j.properties
+++ b/src/main/java/log4j.properties
@@ -0,0 +1,25 @@
+#Log4j
+log4j.rootLogger=info,console,file
+# 控制台日志设置
+log4j.appender.console=org.apache.log4j.ConsoleAppender
+log4j.appender.console.Threshold=info
+log4j.appender.console.layout=org.apache.log4j.PatternLayout
+log4j.appender.console.layout.ConversionPattern=[%d{yyyy-MM-dd HH\:mm\:ss}] [%-5p] [Thread\:%t] %l %x - <%m>%n
+
+# 文件日志设置
+log4j.appender.file=org.apache.log4j.DailyRollingFileAppender
+log4j.appender.file.Threshold=info
+log4j.appender.file.encoding=UTF-8
+log4j.appender.file.Append=true
+#路径请用相对路径，做好相关测试输出到应用目下
+log4j.appender.file.file=${nis.root}/log/galaxy-name.log
+log4j.appender.file.DatePattern='.'yyyy-MM-dd
+log4j.appender.file.layout=org.apache.log4j.PatternLayout
+#log4j.appender.file.layout.ConversionPattern=%d{HH:mm:ss} %X{ip} [%t] %5p %c{1} %m%n
+log4j.appender.file.layout.ConversionPattern=[%d{yyyy-MM-dd HH\:mm\:ss}] [%-5p] %X{ip} [Thread\:%t]  %l %x - %m%n 
+#MyBatis 配置，com.nis.web.dao是mybatis接口所在包
+log4j.logger.com.nis.web.dao=debug
+#bonecp数据源配置
+log4j.category.com.jolbox=debug,console
+
+
--- a/src/test/java/com/zdjizhi/FunctionsTest.java
+++ b/src/test/java/com/zdjizhi/FunctionsTest.java
@@ -0,0 +1,33 @@
+package com.zdjizhi;
+
+import com.zdjizhi.utils.JsonMapper;
+import com.zdjizhi.utils.json.JsonParseUtil;
+import org.junit.Test;
+
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * @author qidaijie
+ * @Package com.zdjizhi
+ * @Description:
+ * @date 2021/9/1714:22
+ */
+public class FunctionsTest {
+    private static HashMap<String, String[]> metricsMap = JsonParseUtil.getMetricsMap();
+
+    @Test
+    public void actionTest() {
+       HashMap<String, String[]> actionMap = JsonParseUtil.getActionMap();
+        String[] metricNames = actionMap.getOrDefault("", actionMap.get("Default"));
+        System.out.println(actionMap.toString());
+        System.out.println(Arrays.toString(metricNames));
+
+
+
+    }
+
+
+
+}