gfwleak/galaxy-tsg-olap-log-olap-analysis-schema
Archived
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Compare commits

base: gfwleak:FastJson2-test
Branches Tags
gfwleak:main gfwleak:FastJson2-test gfwleak:SketchHLL
..
compare: gfwleak:SketchHLL
Branches Tags
gfwleak:FastJson2-test gfwleak:SketchHLL gfwleak:main

1 Commits
FastJson2- ... SketchHLL

Author SHA1 Message Date
qidaijie
b7a9229aec Live Traffic Chart基于Sketch HLL支持独立客户端统计。(GAL-283) 2023-04-14 18:58:28 +08:00
20 changed files with 583 additions and 372 deletions
Expand all files Collapse all files

9
pom.xml
View File

@@ -6,7 +6,7 @@
<groupId>com.zdjizhi</groupId>
<artifactId>log-olap-analysis-schema</artifactId>
<version>230414-FastJson2</version>
<version>230317-DataSketches</version>
<name>log-olap-analysis-schema</name>
<url>http://www.example.com</url>
@@ -40,7 +40,6 @@
<hbase.version>2.2.3</hbase.version>
<nacos.version>1.2.0</nacos.version>
<zdjz.tools.version>1.0.8</zdjz.tools.version>
<fastjson.version>2.0.26</fastjson.version>
<scope.type>provided</scope.type>
<!--<scope.type>compile</scope.type>-->
</properties>
@@ -239,12 +238,6 @@
<version>3.2.0</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>${fastjson.version}</version>
</dependency>
</dependencies>
</project>

2
properties/default_config.properties
View File

@@ -3,7 +3,7 @@
session.timeout.ms=60000
#kafka source poll
max.poll.records=5000
max.poll.records=3000
#kafka source poll bytes
max.partition.fetch.bytes=31457280

21
properties/service_flow_config.properties
View File

@@ -15,42 +15,41 @@ tools.library=D:\\workerspace\\dat
nacos.server=192.168.44.12:8848
#nacos namespace
nacos.schema.namespace=livecharts
nacos.schema.namespace=prod
#nacos data id
nacos.data.id=liveChart_session_test.json
nacos.data.id=liveChart_session.json
#--------------------------------Kafka消费组信息------------------------------#
#kafka 接收数据topic
source.kafka.topic=test
source.kafka.topic=SESSION-RECORD
#补全数据 输出 topic
sink.kafka.topic=TRAFFIC-PROTOCOL-TEST
sink.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-test-20230327-3
group.id=livecharts-test-20220816-1
#--------------------------------topology配置------------------------------#
#consumer 并行度
source.parallelism=3
source.parallelism=1
#map函数并行度
parse.parallelism=3
parse.parallelism=1
#第一次窗口计算并行度
first.window.parallelism=3
first.window.parallelism=1
#第二次窗口计算并行度
second.window.parallelism=3
second.window.parallelism=1
#producer 并行度
sink.parallelism=3
sink.parallelism=1
#初次随机预聚合窗口时间
first.count.window.time=5
#二次聚合窗口时间
second.count.window.time=15

11
src/main/java/com/zdjizhi/topology/StreamAggregateTopology.java
View File

@@ -2,7 +2,6 @@ package com.zdjizhi.topology;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import com.alibaba.fastjson2.JSONObject;
import com.zdjizhi.common.StreamAggregateConfig;
import com.zdjizhi.utils.functions.keyby.FirstKeyByFunction;
import com.zdjizhi.utils.functions.keyby.SecondKeyByFunction;
@@ -46,25 +45,25 @@ public class StreamAggregateTopology {
.setParallelism(StreamAggregateConfig.SOURCE_PARALLELISM).name(StreamAggregateConfig.SOURCE_KAFKA_TOPIC);
//解析原始日志初步聚合计算，增加自定义key 缓解数据倾斜
SingleOutputStreamOperator<Tuple3<String, String, JSONObject>> parseDataMap = streamSource.map(new ParseMapFunction())
SingleOutputStreamOperator<Tuple3<String, String, Map<String, Object>>> parseDataMap = streamSource.map(new ParseMapFunction())
.name("ParseDataMap")
.setParallelism(StreamAggregateConfig.PARSE_PARALLELISM);
//初步聚合计算，增加自定义key 缓解数据倾斜
WindowedStream<Tuple3<String, String, JSONObject>, String, TimeWindow> firstWindow = parseDataMap.keyBy(new FirstKeyByFunction())
WindowedStream<Tuple3<String, String, Map<String, Object>>, String, TimeWindow> firstWindow = parseDataMap.keyBy(new FirstKeyByFunction())
.window(TumblingProcessingTimeWindows.of(Time.seconds(StreamAggregateConfig.FIRST_COUNT_WINDOW_TIME)));
//初次聚合计算窗口
SingleOutputStreamOperator<Tuple2<String, JSONObject>> metricCountWindow = firstWindow.process(new FirstCountWindowFunction())
SingleOutputStreamOperator<Tuple2<String, Map<String, Object>>> metricCountWindow = firstWindow.process(new FirstCountWindowFunction())
.name("FirstCountWindow")
.setParallelism(StreamAggregateConfig.FIRST_WINDOW_PARALLELISM);
//二次聚合计算，使用业务的key 进行数据汇总
WindowedStream<Tuple2<String, JSONObject>, String, TimeWindow> secondWindow = metricCountWindow.keyBy(new SecondKeyByFunction())
WindowedStream<Tuple2<String, Map<String, Object>>, String, TimeWindow> secondWindow = metricCountWindow.keyBy(new SecondKeyByFunction())
.window(TumblingProcessingTimeWindows.of(Time.seconds(StreamAggregateConfig.SECOND_COUNT_WINDOW_TIME)));
//二次聚合计算窗口
SingleOutputStreamOperator<JSONObject> secondCountWindow = secondWindow.process(new SecondCountWindowFunction())
SingleOutputStreamOperator<Map<String, Object>> secondCountWindow = secondWindow.process(new SecondCountWindowFunction())
.name("SecondCountWindow").setParallelism(StreamAggregateConfig.SECOND_WINDOW_PARALLELISM);
//拆解结果数据按protocol id循环输出

17
src/main/java/com/zdjizhi/utils/functions/filter/FilterNullFunction.java Normal file
View File

@@ -0,0 +1,17 @@
package com.zdjizhi.utils.functions.filter;
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);
}
}

8
src/main/java/com/zdjizhi/utils/functions/keyby/FirstKeyByFunction.java
View File

@@ -1,8 +1,10 @@
package com.zdjizhi.utils.functions.keyby;
import com.alibaba.fastjson2.JSONObject;
import cn.hutool.core.util.RandomUtil;
import com.zdjizhi.common.StreamAggregateConfig;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.api.java.tuple.Tuple4;
import java.util.Map;
@@ -12,10 +14,10 @@ import java.util.Map;
* @Description:
* @date 2021/7/2112:13
*/
public class FirstKeyByFunction implements KeySelector<Tuple3< String, String, JSONObject>, String> {
public class FirstKeyByFunction implements KeySelector<Tuple3< String, String, Map<String, Object>>, String> {
@Override
public String getKey(Tuple3<String, String, JSONObject> value) throws Exception {
public String getKey(Tuple3<String, String, Map<String, Object>> value) throws Exception {
//以map拼接的key分组
return value.f0;
}

10
src/main/java/com/zdjizhi/utils/functions/keyby/SecondKeyByFunction.java
View File

@@ -1,10 +1,12 @@
package com.zdjizhi.utils.functions.keyby;
import com.alibaba.fastjson2.JSONObject;
import cn.hutool.core.util.RandomUtil;
import com.zdjizhi.common.StreamAggregateConfig;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.tuple.Tuple4;
import java.util.Map;
/**
* @author qidaijie
@@ -12,10 +14,10 @@ import org.apache.flink.api.java.tuple.Tuple2;
* @Description:
* @date 2021/7/2112:13
*/
public class SecondKeyByFunction implements KeySelector<Tuple2<String, JSONObject>, String> {
public class SecondKeyByFunction implements KeySelector<Tuple2<String,Map<String, Object>>, String> {
@Override
public String getKey(Tuple2<String, JSONObject> value) throws Exception {
public String getKey(Tuple2<String, Map<String, Object>> value) throws Exception {
//以map拼接的key分组
return value.f0;
}

27
src/main/java/com/zdjizhi/utils/functions/parse/ParseMapFunction.java
View File

@@ -2,15 +2,16 @@ package com.zdjizhi.utils.functions.parse;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONObject;
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.meta.MetaDataParse;
import com.zdjizhi.utils.json.JsonParseUtil;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple3;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ThreadLocalRandom;
@@ -21,19 +22,21 @@ import java.util.concurrent.ThreadLocalRandom;
* @Description:
* @date 2021/5/2715:01
*/
public class ParseMapFunction implements MapFunction<String, Tuple3<String, String, JSONObject>> {
public class ParseMapFunction implements MapFunction<String, Tuple3<String, String, Map<String, Object>>> {
private static final Log logger = LogFactory.get();
@Override
@SuppressWarnings("unchecked")
public Tuple3<String, String, JSONObject> map(String message) {
public Tuple3<String, String, Map<String, Object>> map(String message) {
try {
ArrayList<String[]> jobList = JsonParseUtil.getTransformsList();
HashMap<String, String> dimensionsMap = JsonParseUtil.getDimensionsMap();
if (StringUtil.isNotBlank(message)) {
JSONObject originalLog = JSON.parseObject(message);
Map<String, Object> dimensionsObj = ParseFunctions.transDimensions(MetaDataParse.getDimensionsMap(), originalLog);
Map<String, Object> originalLog = (Map<String, Object>) JsonMapper.fromJsonString(message, Map.class);
Map<String, Object> dimensionsObj = ParseFunctions.transDimensions(dimensionsMap, originalLog);
if (ParseFunctions.filterLogs(originalLog)) {
JSONObject metricsLog = ParseFunctions.getMetricsLog(originalLog);
for (String[] strings : MetaDataParse.getTransformsList()) {
Map<String, Object> metricsLog = ParseFunctions.getMetricsLog(originalLog);
for (String[] strings : jobList) {
//函数名称
String function = strings[0];
//结果集字段key
@@ -43,7 +46,7 @@ public class ParseMapFunction implements MapFunction<String, Tuple3<String, Stri
//额外的参数的值
String parameters = strings[3];
//原始日志字段对应的值
Object logsValue = originalLog.get(logsKeyName);
Object logsValue = JsonParseUtil.getValue(originalLog, logsKeyName);
switch (function) {
case "combination":
@@ -61,8 +64,8 @@ public class ParseMapFunction implements MapFunction<String, Tuple3<String, Stri
}
break;
case "hierarchy":
String key = dimensionsObj.get(resultKeyName) + "@" + ThreadLocalRandom.current().nextInt(StreamAggregateConfig.RANDOM_RANGE_NUM);
return new Tuple3<>(key, JSONObject.toJSONString(dimensionsObj), metricsLog);
String key = JsonParseUtil.getString(dimensionsObj, resultKeyName) + "@" + ThreadLocalRandom.current().nextInt(StreamAggregateConfig.RANDOM_RANGE_NUM);
return new Tuple3<>(key, JsonMapper.toJsonString(dimensionsObj), metricsLog);
default:
break;
}

46
src/main/java/com/zdjizhi/utils/functions/result/ResultFlatMapFunction.java
View File

@@ -1,23 +1,21 @@
package com.zdjizhi.utils.functions.result;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import com.alibaba.fastjson2.JSONObject;
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.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<JSONObject, String> {
private static final Log logger = LogFactory.get();
public class ResultFlatMapFunction implements FlatMapFunction<Map<String, Object>, String> {
private static final String PROTOCOL_ID_KEY = "protocol_stack_id";
private static final String APP_NAME_KEY = "app_name";
private static final String HLL_SKETCH_KEY = "client_ip_sketch";
@@ -25,26 +23,28 @@ public class ResultFlatMapFunction implements FlatMapFunction<JSONObject, String
@Override
@SuppressWarnings("unchecked")
public void flatMap(JSONObject jsonObject, Collector<String> out) throws Exception {
String protocol = jsonObject.getString(PROTOCOL_ID_KEY);
if (jsonObject.containsKey(HLL_SKETCH_KEY)) {
jsonObject.put(HLL_SKETCH_KEY, ParseFunctions.getHllSketch(jsonObject, HLL_SKETCH_KEY));
public void flatMap(Map<String, Object> jsonObject, Collector<String> out) throws Exception {
String protocol = JsonParseUtil.getString(jsonObject, PROTOCOL_ID_KEY);
if (jsonObject.containsKey(HLL_SKETCH_KEY)){
JsonParseUtil.setValue(jsonObject, HLL_SKETCH_KEY, JsonParseUtil.getHllSketch(jsonObject, HLL_SKETCH_KEY));
}
out.collect(jsonObject.toString());
out.collect(JsonMapper.toJsonString(jsonObject));
jsonObject.remove(APP_NAME_KEY);
StringBuilder stringBuilder = new StringBuilder();
String[] protocolIds = protocol.split(StreamAggregateConfig.PROTOCOL_SPLITTER);
int protocolIdsNum = protocolIds.length;
for (int i = 0; i < protocolIdsNum - 1; i++) {
if (StringUtil.isBlank(stringBuilder.toString())) {
stringBuilder.append(protocolIds[i]);
jsonObject.put(PROTOCOL_ID_KEY, stringBuilder.toString());
out.collect(jsonObject.toString());
} else {
stringBuilder.append(".").append(protocolIds[i]);
jsonObject.put(PROTOCOL_ID_KEY, stringBuilder.toString());
out.collect(jsonObject.toString());
if (StringUtil.isNotBlank(protocol)) {
String[] protocolIds = protocol.split(StreamAggregateConfig.PROTOCOL_SPLITTER);
int protocolIdsNum = protocolIds.length;
for (int i = 0; i < protocolIdsNum - 1; i++) {
if (StringUtil.isBlank(stringBuilder.toString())) {
stringBuilder.append(protocolIds[i]);
jsonObject.put(PROTOCOL_ID_KEY, stringBuilder.toString());
out.collect(JsonMapper.toJsonString(jsonObject));
} else {
stringBuilder.append(".").append(protocolIds[i]);
jsonObject.put(PROTOCOL_ID_KEY, stringBuilder.toString());
out.collect(JsonMapper.toJsonString(jsonObject));
}
}
}
}

45
src/main/java/com/zdjizhi/utils/functions/statistics/FirstCountWindowFunction.java
View File

@@ -1,19 +1,21 @@
package com.zdjizhi.utils.functions.statistics;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONObject;
import com.zdjizhi.utils.JsonMapper;
import com.zdjizhi.utils.StringUtil;
import com.zdjizhi.utils.general.MetricFunctions;
import com.zdjizhi.utils.meta.MetaDataParse;
import com.zdjizhi.utils.general.ParseFunctions;
import com.zdjizhi.utils.json.JsonParseUtil;
import org.apache.datasketches.hll.HllSketch;
import org.apache.flink.api.java.tuple.Tuple2;
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;
/**
* @author qidaijie
@@ -21,31 +23,32 @@ import java.util.HashMap;
* @Description:
* @date 2021/7/2113:55
*/
public class FirstCountWindowFunction extends ProcessWindowFunction<Tuple3<String, String, JSONObject>, Tuple2<String, JSONObject>, String, TimeWindow> {
private static final Log logger = LogFactory.get();
public class FirstCountWindowFunction extends ProcessWindowFunction<Tuple3<String, String, Map<String, Object>>, Tuple2<String, Map<String, Object>>, String, TimeWindow> {
private static final Logger logger = LoggerFactory.getLogger(FirstCountWindowFunction.class);
private HashMap<String, JSONObject> cacheMap = new HashMap<>(32);
private HashMap<String, Map<String, Object>> cacheMap = new HashMap<>(32);
@Override
@SuppressWarnings("unchecked")
public void process(String key, Context context, Iterable<Tuple3<String, String, JSONObject>> input, Collector<Tuple2<String, JSONObject>> output) {
public void process(String key, Context context, Iterable<Tuple3<String, String, Map<String, Object>>> input, Collector<Tuple2<String, Map<String, Object>>> output) {
try {
HashMap<String, String[]> metricsMap = MetaDataParse.getMetricFunctionsMap();
for (Tuple3<String, String, JSONObject> tuple : input) {
HashMap<String, String[]> metricsMap = JsonParseUtil.getMetricFunctionsMap();
for (Tuple3<String, String, Map<String, Object>> tuple : input) {
String dimensions = tuple.f1;
JSONObject metrics = tuple.f2;
JSONObject cacheMessage = cacheMap.getOrDefault(dimensions, JSON.parseObject(dimensions));
Map<String, Object> metrics = tuple.f2;
if (metrics.size() != 0) {
Map<String, Object> cacheMessage = cacheMap.getOrDefault(dimensions, (Map<String, Object>) JsonMapper.fromJsonString(dimensions, Map.class));
for (String resultKeyName : metricsMap.keySet()) {
String[] functions = metricsMap.get(resultKeyName);
String function = functions[0];
String fieldName = functions[1];
functionSet(function, cacheMessage, resultKeyName, metrics.get(fieldName));
for (String resultKeyName : metricsMap.keySet()) {
String[] functions = metricsMap.get(resultKeyName);
String function = functions[0];
String fieldName = functions[1];
functionSet(function, cacheMessage, resultKeyName, JsonParseUtil.getValue(metrics, fieldName));
}
cacheMap.put(dimensions, cacheMessage);
}
cacheMap.put(dimensions, cacheMessage);
}
if (!cacheMap.isEmpty()) {
for (String dimensions : cacheMap.keySet()) {
output.collect(new Tuple2<>(dimensions, cacheMap.get(dimensions)));
@@ -69,7 +72,7 @@ public class FirstCountWindowFunction extends ProcessWindowFunction<Tuple3<Strin
* @param resultKeyName 结果字段名称
* @param fieldNameValue 新加值
*/
private static void functionSet(String function, JSONObject cacheMessage, String resultKeyName, Object fieldNameValue) {
private static void functionSet(String function, Map<String, Object> cacheMessage, String resultKeyName, Object fieldNameValue) {
switch (function) {
case "sum":
cacheMessage.put(resultKeyName, MetricFunctions.longSum(cacheMessage.get(resultKeyName), fieldNameValue));

32
src/main/java/com/zdjizhi/utils/functions/statistics/SecondCountWindowFunction.java
View File

@@ -1,17 +1,16 @@
package com.zdjizhi.utils.functions.statistics;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONObject;
import com.zdjizhi.utils.JsonMapper;
import com.zdjizhi.utils.StringUtil;
import com.zdjizhi.utils.general.MetricFunctions;
import com.zdjizhi.utils.general.ParseFunctions;
import com.zdjizhi.utils.meta.MetaDataParse;
import com.zdjizhi.utils.json.JsonParseUtil;
import org.apache.datasketches.hll.HllSketch;
import org.apache.flink.api.java.tuple.Tuple2;
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;
@@ -22,26 +21,27 @@ import java.util.Map;
* @Description:
* @date 2021/7/2113:55
*/
public class SecondCountWindowFunction extends ProcessWindowFunction<Tuple2<String, JSONObject>, JSONObject, String, TimeWindow> {
private static final Log logger = LogFactory.get();
public class SecondCountWindowFunction extends ProcessWindowFunction<Tuple2<String, Map<String, Object>>, Map<String, Object>, String, TimeWindow> {
private static final Logger logger = LoggerFactory.getLogger(SecondCountWindowFunction.class);
private HashMap<String, JSONObject> cacheMap = new HashMap<>(32);
private HashMap<String, Map<String, Object>> cacheMap = new HashMap<>(32);
@Override
@SuppressWarnings("unchecked")
public void process(String key, Context context, Iterable<Tuple2<String, JSONObject>> input, Collector<JSONObject> output) {
public void process(String key, Context context, Iterable<Tuple2<String, Map<String, Object>>> input, Collector<Map<String, Object>> output) {
try {
HashMap<String, String[]> metricsMap = MetaDataParse.getMetricFunctionsMap();
for (Tuple2<String, JSONObject> tuple : input) {
HashMap<String, String[]> metricsMap = JsonParseUtil.getMetricFunctionsMap();
for (Tuple2<String, Map<String, Object>> tuple : input) {
String dimensions = tuple.f0;
Map<String, Object> message = tuple.f1;
if (message.size() != 0) {
JSONObject cacheMessage = cacheMap.getOrDefault(dimensions, JSON.parseObject(dimensions));
Map<String, Object> dimensionsObj = (Map<String, Object>) JsonMapper.fromJsonString(dimensions, Map.class);
Map<String, Object> cacheMessage = cacheMap.getOrDefault(dimensions, dimensionsObj);
for (String resultName : metricsMap.keySet()) {
String[] metrics = metricsMap.get(resultName);
String function = metrics[0];
functionSet(function, cacheMessage, resultName, message.get(resultName));
functionSet(function, cacheMessage, resultName, JsonParseUtil.getValue(message, resultName));
}
cacheMap.put(dimensions, cacheMessage);
@@ -52,8 +52,8 @@ public class SecondCountWindowFunction extends ProcessWindowFunction<Tuple2<Stri
Long endTime = context.window().getEnd() / 1000;
for (String countKey : cacheMap.keySet()) {
JSONObject resultMap = cacheMap.get(countKey);
resultMap.put(MetaDataParse.getResultTimeKey(), endTime);
Map<String, Object> resultMap = cacheMap.get(countKey);
JsonParseUtil.setValue(resultMap, JsonParseUtil.getResultTimeKey(), endTime);
output.collect(resultMap);
}
}

37
src/main/java/com/zdjizhi/utils/general/MetricFunctions.java
View File

@@ -1,9 +1,8 @@
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.JsonTypeUtil;
import org.apache.datasketches.hll.HllSketch;
import org.apache.datasketches.hll.Union;
@@ -15,8 +14,6 @@ import org.apache.datasketches.hll.Union;
* @date 2021/7/2015:31
*/
public class MetricFunctions {
private static final Log logger = LogFactory.get();
/**
* Long类型的数据求和
@@ -26,8 +23,8 @@ public class MetricFunctions {
* @return value1 + value2
*/
public static Long longSum(Object value1, Object value2) {
Long res1 = checkLongValue(value1);
Long res2 = checkLongValue(value2);
Long res1 = JsonTypeUtil.checkLongValue(value1);
Long res2 = JsonTypeUtil.checkLongValue(value2);
return res1 + res2;
}
@@ -39,7 +36,7 @@ public class MetricFunctions {
* @return count+1
*/
public static Long count(Object count) {
return checkLongValue(count) + 1L;
return JsonTypeUtil.checkLongValue(count) + 1L;
}
/**
@@ -77,30 +74,4 @@ public class MetricFunctions {
}
return HllSketch.heapify(union.getResult().toUpdatableByteArray());
}
private static long checkLongValue(Object value) {
if (value == null) {
return 0L;
}
if (value instanceof Long) {
return ((Long) value);
}
if (value instanceof Number) {
return ((Number) value).longValue();
}
if (value instanceof String) {
String str = (String) value;
try {
return Long.parseLong(str);
} catch (NumberFormatException e) {
logger.error("Can not cast " + value.getClass() + "to Long,exception is:" + e.getMessage());
}
}
return 0L;
}
}

77
src/main/java/com/zdjizhi/utils/general/ParseFunctions.java
View File

@@ -3,15 +3,13 @@ package com.zdjizhi.utils.general;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
import com.alibaba.fastjson2.JSONObject;
import com.jayway.jsonpath.JsonPath;
import com.zdjizhi.common.StreamAggregateConfig;
import com.zdjizhi.utils.JsonMapper;
import com.zdjizhi.utils.StringUtil;
import com.zdjizhi.utils.meta.MetaDataParse;
import org.apache.datasketches.hll.HllSketch;
import com.zdjizhi.utils.json.JsonParseUtil;
import java.util.ArrayList;
import java.util.Base64;
import java.util.HashMap;
import java.util.Map;
@@ -31,15 +29,18 @@ public class ParseFunctions {
* @param object 原始日志
* @return true or false
*/
public static boolean filterLogs(JSONObject object) {
public static boolean filterLogs(Map<String, Object> object) {
boolean available = false;
HashMap<String, String> filtersMap = MetaDataParse.getFiltersMap();
HashMap<String, String> filtersMap = JsonParseUtil.getFiltersMap();
for (String key : filtersMap.keySet()) {
if ("notempty".equals(key)) {
String value = object.getString(filtersMap.get(key));
if (StringUtil.isNotBlank(value)) {
available = true;
}
switch (key) {
case "notempty":
String value = JsonParseUtil.getString(object, filtersMap.get(key));
if (StringUtil.isNotBlank(value)) {
available = true;
}
break;
default:
}
}
return available;
@@ -52,12 +53,11 @@ public class ParseFunctions {
* @param originalLog 原始日志
* @return 结果维度集
*/
public static Map<String, Object> transDimensions(Map<String, String> dimensions, JSONObject originalLog) {
public static Map<String, Object> transDimensions(Map<String, String> dimensions, Map<String, Object> originalLog) {
HashMap<String, Object> dimensionsObj = new HashMap<>(16);
for (String key : dimensions.keySet()) {
originalLog.get(dimensions.get(key));
dimensionsObj.put(key, originalLog.get(dimensions.get(key)));
for (String dimension : dimensions.keySet()) {
dimensionsObj.put(dimension, JsonParseUtil.getValue(originalLog, dimensions.get(dimension)));
}
return dimensionsObj;
@@ -67,17 +67,18 @@ public class ParseFunctions {
* 根据原始日志字段，生成schema内指定的metrics指标json。
*
* @param originalLog 原始日志json
* @return 统计metrics meta
* @return 统计metrics json
*/
public static JSONObject getMetricsLog(JSONObject originalLog) {
JSONObject metricsJson = new JSONObject();
public static Map<String, Object> getMetricsLog(Map<String, Object> originalLog) {
Map<String, Object> metricsMap = new HashMap<>(16);
for (String logsKeyName : MetaDataParse.getMetricsFiledNameList()) {
for (String logsKeyName : JsonParseUtil.getMetricsFiledNameList()) {
if (originalLog.containsKey(logsKeyName)) {
metricsJson.put(logsKeyName, originalLog.get(logsKeyName));
metricsMap.put(logsKeyName, originalLog.get(logsKeyName));
}
}
return metricsJson;
return metricsMap;
}
@@ -86,25 +87,26 @@ public class ParseFunctions {
* 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 originalLog 原始日志
* @param message 原始日志
* @param logsKeyName 原始日志列名
*/
public static void combinationUtils(Map<String, Object> dimensions, JSONObject originalLog, String parameters, String resultKeyName, String logsKeyName) {
public static void combinationUtils(Map<String, Object> dimensions, Map<String, Object> message, String parameters, String resultKeyName, String logsKeyName) {
String[] combinationPars = parameters.split(StreamAggregateConfig.FORMAT_SPLITTER);
String combinationFieldKey = combinationPars[0];
String separator = combinationPars[1];
Object combinationFieldValue = originalLog.get(combinationFieldKey);
Object combinationFieldValue = JsonParseUtil.getValue(message, combinationFieldKey);
if (combinationFieldValue != null) {
Object logsFieldValue = originalLog.get(logsKeyName);
Object logsFieldValue = JsonParseUtil.getValue(message, logsKeyName);
String combinationResult = logsFieldValue + separator + combinationFieldValue;
dimensions.put(resultKeyName, combinationResult);
JsonParseUtil.setValue(dimensions, resultKeyName, combinationResult);
JsonParseUtil.setValue(message, logsKeyName, combinationResult);
}
}
/**
* 根据表达式解析json
* <p>
* //* @param message meta
* //* @param message json
*
* @param expr 解析表达式
* @return 解析结果
@@ -133,7 +135,7 @@ public class ParseFunctions {
@Deprecated
private static Object isJsonValue(Map<String, Object> jsonMap, String param) {
if (param.contains(StreamAggregateConfig.IS_JSON_KEY_TAG)) {
return jsonMap.get(param.substring(2));
return JsonParseUtil.getValue(jsonMap, param.substring(2));
} else {
return param;
}
@@ -180,23 +182,4 @@ public class ParseFunctions {
return result;
}
/**
* 获取HLLSketch内容
*
* @param jsonMap 原始日志
* @param key meta key名称
* @return HLLSketch数据数组
*/
public static String getHllSketch(JSONObject jsonMap, String key) {
try {
HllSketch hllSketchResult = (HllSketch) jsonMap.get(key);
if (hllSketchResult != null) {
return Base64.getEncoder().encodeToString(hllSketchResult.toUpdatableByteArray());
}
} catch (RuntimeException e) {
logger.error("HllSketch data conversion exception,data may be empty! exception:{}", e);
}
return null;
}
}

90
src/main/java/com/zdjizhi/utils/meta/MetaDataParse.java → src/main/java/com/zdjizhi/utils/json/JsonParseUtil.java
View File

@@ -1,4 +1,4 @@
package com.zdjizhi.utils.meta;
package com.zdjizhi.utils.json;
import cn.hutool.log.Log;
import cn.hutool.log.LogFactory;
@@ -10,18 +10,21 @@ import com.alibaba.nacos.api.exception.NacosException;
import com.jayway.jsonpath.DocumentContext;
import com.jayway.jsonpath.JsonPath;
import com.zdjizhi.common.StreamAggregateConfig;
import com.zdjizhi.utils.JsonMapper;
import com.zdjizhi.utils.StringUtil;
import java.util.*;
import java.util.concurrent.Executor;
import org.apache.datasketches.hll.HllSketch;
/**
* 使用FastJson解析json的工具类
*
* @author qidaijie
*/
public class MetaDataParse {
public class JsonParseUtil {
private static final Log logger = LogFactory.get();
private static Properties propNacos = new Properties();
@@ -87,6 +90,89 @@ public class MetaDataParse {
}
}
/**
* 获取属性值的方法
*
* @param jsonMap 原始日志
* @param key josn key名称
* @return 属性的值
*/
public static Object getValue(Map<String, Object> jsonMap, String key) {
try {
return jsonMap.getOrDefault(key, null);
} catch (RuntimeException e) {
logger.error("Get the JSON value is abnormal,The key is :" + key + "error message is :" + e);
return null;
}
}
/**
* 获取HLLSketch内容
*
* @param jsonMap 原始日志
* @param key json key名称
* @return HLLSketch数据数组
*/
public static byte[] getHllSketch(Map<String, Object> jsonMap, String key) {
try {
HllSketch hllSketchResult = (HllSketch) jsonMap.getOrDefault(key, null);
if (hllSketchResult != null) {
return hllSketchResult.toUpdatableByteArray();
}
} catch (RuntimeException e) {
logger.error("HllSketch data conversion exception,data may be empty! exception:{}", 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("The JSON set value is abnormal,the error message is :", e);
}
}
/**
* 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
* 用于反射生成schema类型的对象的一个map集合

144
src/main/java/com/zdjizhi/utils/json/JsonTypeUtil.java Normal file
View File

@@ -0,0 +1,144 @@
package com.zdjizhi.utils.json;
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 JsonTypeUtil {
/**
* 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;
}
if (longVal < 0L) {
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;
}
}

172
src/main/java/com/zdjizhi/utils/json/TypeUtils.java Normal file
View File

@@ -0,0 +1,172 @@
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 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);
}
}

1
src/main/java/com/zdjizhi/utils/kafka/KafkaConsumer.java
View File

@@ -22,7 +22,6 @@ public class KafkaConsumer {
properties.put("session.timeout.ms", StreamAggregateConfig.SESSION_TIMEOUT_MS);
properties.put("max.poll.records", StreamAggregateConfig.MAX_POLL_RECORDS);
properties.put("max.partition.fetch.bytes", StreamAggregateConfig.MAX_PARTITION_FETCH_BYTES);
properties.put("partition.discovery.interval.ms", "10000");
CertUtils.chooseCert(StreamAggregateConfig.SOURCE_KAFKA_SERVERS, properties);

52
src/test/java/com/zdjizhi/DatasketchesTest.java
View File

@@ -1,15 +1,16 @@
package com.zdjizhi;
import cn.hutool.json.JSONUtil;
import com.alibaba.fastjson2.*;
import com.zdjizhi.utils.JsonMapper;
import com.alibaba.fastjson.JSONObject;
import org.apache.datasketches.hll.HllSketch;
import org.apache.datasketches.hll.Union;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.junit.Test;
import java.util.*;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Properties;
import java.util.Random;
/**
* @author qidaijie
@@ -79,7 +80,6 @@ public class DatasketchesTest {
@Test
public void HllSketchDruidTest() {
HashMap<String, Object> dataMap = new HashMap<>();
HashSet<String> strings = new HashSet<>();
@@ -135,39 +135,15 @@ public class DatasketchesTest {
//CompactByte
result.setIp_object(sketch_result2.toCompactByteArray());
// System.out.println(result.toString());
//sendMessage(JsonMapper.toJsonString(result);
System.out.println(result.toString());
sendMessage(result);
//UpdatableByte
result.setIp_object(sketch_result2.toUpdatableByteArray());
// System.out.println(result.toString());
//sendMessage(JsonMapper.toJsonString(result);
System.out.println(result.toString());
sendMessage(result);
//Hashmap
dataMap.put("app_name", "TEST");
dataMap.put("protocol_stack_id", "HTTP");
dataMap.put("vsys_id", 1);
dataMap.put("stat_time", 1681370100);
dataMap.put("client_ip_sketch", sketch_result2.toUpdatableByteArray());
System.out.println("Jackson:" + JsonMapper.toJsonString(dataMap));
System.out.println("FastJson2:" + JSONObject.toJSONString(dataMap));
System.out.println("Hutool:" + JSONUtil.toJsonStr(dataMap) + "\n\n");
byte[] toJSONB = JSONB.toBytes(dataMap);
// sendMessage(toJSONB);
JSONObject jsonObject = JSONB.parseObject(toJSONB);
System.out.println("FastJson2 Byte(JSONB):" + jsonObject.toJSONString() + "\n\n");
dataMap.put("client_ip_sketch", Base64.getEncoder().encodeToString(sketch_result2.toUpdatableByteArray()));
System.out.println("FastJson2 Byte(Base64):" + JSONObject.toJSONString(dataMap));
System.out.println("Hutool Byte(Base64):" + JSONObject.toJSONString(dataMap));
System.out.println(JSONUtil.toJsonStr(dataMap));
// sendMessage(JSONObject.toJSONString(dataMap));
}
@@ -181,7 +157,7 @@ public class DatasketchesTest {
return v4_1 + "." + v4_2 + "." + v4_3 + "." + v4_4;
}
private static void sendMessage(Object message) {
private static void sendMessage(Result result) {
Properties props = new Properties();
//kafka地址
props.put("bootstrap.servers", "192.168.44.12:9092");
@@ -189,13 +165,11 @@ public class DatasketchesTest {
props.put("retries", 0);
props.put("linger.ms", 1);
props.put("buffer.memory", 67108864);
// props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("key.serializer", "org.apache.kafka.common.serialization.ByteArraySerializer");
// props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "org.apache.kafka.common.serialization.ByteArraySerializer");
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
KafkaProducer<String, Object> kafkaProducer = new KafkaProducer<String, Object>(props);
kafkaProducer.send(new ProducerRecord<String, Object>("TRAFFIC-PROTOCOL-TEST", message));
kafkaProducer.send(new ProducerRecord<String, Object>("TRAFFIC-PROTOCOL-TEST", JSONObject.toJSONString(result)));
kafkaProducer.close();
}

9
src/test/java/com/zdjizhi/FunctionTest.java
View File

@@ -3,6 +3,7 @@ package com.zdjizhi;
import com.jayway.jsonpath.JsonPath;
import com.zdjizhi.common.StreamAggregateConfig;
import com.zdjizhi.utils.StringUtil;
import com.zdjizhi.utils.json.JsonTypeUtil;
import org.junit.Test;
import java.util.Arrays;
@@ -67,4 +68,12 @@ public class FunctionTest {
}
}
}
@Test
public void longSumTest() {
Long res1 = JsonTypeUtil.checkLongValue(123);
Long res2 = JsonTypeUtil.checkLongValue("123");
System.out.println(res1 + res2);
}
}

145
src/test/java/com/zdjizhi/JsonTest.java
View File

@@ -1,145 +0,0 @@
package com.zdjizhi;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.serializer.SerializerFeature;
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONObject;
import com.jayway.jsonpath.DocumentContext;
import com.jayway.jsonpath.JsonPath;
import net.sf.cglib.beans.BeanGenerator;
import org.junit.Test;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
/**
* @author qidaijie
* @Package com.zdjizhi
* @Description:
* @date 2023/4/1218:08
*/
public class JsonTest {
// /**
// * 在内存中加载反射类用的map
// */
// private static HashMap<String, Class> map = MetaDataParse.getMapFromHttp(FlowWriteConfig.SCHEMA_HTTP);
//
// /**
// * 反射成一个类
// */
// private static Object mapObject = MetaDataParse.generateObject(map);
@Test
public void fastJson2Test() {
// SerializerFeature.DisableCircularReferenceDetect
// SerializerFeature.WriteNullStringAsEmpty
// SerializerFeature.WriteNullNumberAsZero
HashMap<String, Class> classHashMap = new HashMap<>();
String message = "{\"common_schema_type\":\"HTTP\",\"common_sessions\":1,\"http_request_line\":\"GET sampleFile.html HTTP/1.1\",\"http_host\":\"www.texaslotto.com\",\"http_url\":\"www.texaslotto.com/sampleFile.html\",\"http_user_agent\":\"xPTS/2.0\",\"http_response_line\":\"HTTP/1.1 200 OK\",\"http_isn\":1953597368,\"http_proxy_flag\":0,\"http_version\":\"http1\",\"http_response_latency_ms\":1,\"http_session_duration_ms\":2,\"http_response_content_type\":\"text/html\",\"http_sequence\":80,\"common_protocol_label\":\"ETHERNET.IPv4.UDP.GTP.IPv4.TCP\",\"common_c2s_byte_diff\":17200,\"common_c2s_pkt_diff\":120,\"common_s2c_byte_diff\":16490,\"common_s2c_pkt_diff\":81,\"common_c2s_ipfrag_num\":0,\"common_s2c_ipfrag_num\":0,\"common_first_ttl\":64,\"common_c2s_tcp_unorder_num\":0,\"common_s2c_tcp_unorder_num\":0,\"common_c2s_tcp_lostlen\":0,\"common_s2c_tcp_lostlen\":0,\"common_c2s_pkt_retrans\":0,\"common_s2c_pkt_retrans\":0,\"common_c2s_byte_retrans\":0,\"common_s2c_byte_retrans\":0,\"common_flags\":24720,\"common_flags_identify_info\":\"{\\\"Server is Local\\\":1,\\\"Inbound\\\":201,\\\"C2S\\\":1,\\\"S2C\\\":2}\",\"common_direction\":73,\"common_app_full_path\":\"http\",\"common_app_label\":\"http\",\"common_tcp_client_isn\":1953597368,\"common_tcp_server_isn\":1950649408,\"common_server_ip\":\"192.50.199.25\",\"common_client_ip\":\"192.50.146.197\",\"common_server_port\":80,\"common_client_port\":22533,\"common_stream_dir\":3,\"common_address_type\":4,\"common_address_list\":\"IPv4_TCP<22533-80-192.50.146.197-192.50.199.25>|GTP<111001144-851056526>|IPv4_UDP<2152-2152-192.50.235.220-192.50.135.83>|MAC<000c299b2fa4-000c2915b4f4>\",\"common_start_time\":1680475247,\"common_end_time\":1680475247,\"common_con_duration_ms\":23,\"common_s2c_pkt_num\":81,\"common_s2c_byte_num\":16490,\"common_c2s_pkt_num\":120,\"common_c2s_byte_num\":17200,\"common_establish_latency_ms\":2,\"common_client_location\":\"日本.Unknown.Unknown\",\"common_server_location\":\"日本.Unknown.Unknown\",\"common_service_category\":[6223,6219,5093,5089],\"common_apn\":\"cmiott.owflr.mcto60g.com\",\"common_imsi\":\"460045157091460\",\"common_imei\":\"8626070583005833\",\"common_phone_number\":\"861440152028973\",\"common_tunnel_endpoint_a_desc\":\"test_50_gtp\",\"common_tunnel_endpoint_b_desc\":\"test_50_gtp\",\"common_tunnels\":[{\"tunnels_schema_type\":\"GTP\",\"gtp_a2b_teid\":111001144,\"gtp_b2a_teid\":851056526,\"gtp_endpoint_a_ip\":\"192.50.235.220\",\"gtp_endpoint_b_ip\":\"192.50.135.83\",\"gtp_endpoint_a_port\":2152,\"gtp_endpoint_b_port\":2152},{\"tunnels_schema_type\":\"MULTIPATH_ETHERNET\",\"c2s_source_mac\":\"00:0c:29:9b:2f:a4\",\"c2s_destination_mac\":\"00:0c:29:15:b4:f4\",\"s2c_source_mac\":\"00:0c:29:15:b4:f4\",\"s2c_destination_mac\":\"00:0c:29:9b:2f:a4\"}],\"common_stream_trace_id\":\"578829229323951427\",\"common_l4_protocol\":\"IPv4_TCP\",\"common_sled_ip\":\"192.168.40.161\",\"common_device_id\":\"unknown\",\"common_device_tag\":\"{\\\"tags\\\":[{\\\"tag\\\":\\\"device_group\\\",\\\"value\\\":\\\"group-xxg-7400\\\"},{\\\"tag\\\":\\\"data_center\\\",\\\"value\\\":\\\"center-xxg-7400\\\"}]}\",\"common_t_vsys_id\":1,\"common_policy_id\":0,\"common_service\":2,\"common_action\":0,\"common_vsys_id\":1}";
JSONObject json = JSON.parseObject(message);
Object mapObject = generateObject(classHashMap);
Object object = JSON.parseObject(message, mapObject.getClass());
System.out.println(json.get("common_schema_type"));
json.put("common_schema_type", "SSH");
System.out.println(json.toJSONString());
}
private 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;
}
/**
* 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
*/
private 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
// *
// * @param http 网关schema地址
// * @return 用于反射生成schema类型的对象的一个map集合
// */
// public static HashMap<String, Class> getMapFromHttp(String schema) {
// HashMap<String, Class> map = new HashMap<>(16);
//
// DocumentContext parse = JsonPath.parse(schema);
//
// //获取fields，并转化为数组，数组的每个元素都是一个name doc type
// com.alibaba.fastjson.JSONObject schemaJson = com.alibaba.fastjson.JSON.parseObject(data.toString());
// JSONArray fields = (JSONArray) schemaJson.get("fields");
//
// for (Object field : fields) {
// String filedStr = field.toString();
// if (checkKeepField(filedStr)) {
// String name = JsonPath.read(filedStr, "$.name").toString();
// String type = JsonPath.read(filedStr, "$.type").toString();
// if (type.contains("{")) {
// type = JsonPath.read(filedStr, "$.type.type").toString();
// }
// //组合用来生成实体类的map
// map.put(name, getClassName(type));
// } else {
// dropList.add(filedStr);
// }
// }
// return map;
// }
}