中心测试版本，修改为在clickhouse计算后读取结果

IP-learning-graph/pom.xml

@@ -39,12 +39,6 @@
             <version>1.2.1</version>
         </dependency>
 
-        <dependency>
-            <groupId>junit</groupId>
-            <artifactId>junit</artifactId>
-            <version>4.12</version>
-        </dependency>
-
         <dependency>
             <groupId>com.arangodb</groupId>
             <artifactId>arangodb-java-driver</artifactId>

IP-learning-graph/src/main/java/cn/ac/iie/config/ApplicationConfig.java

@@ -14,7 +14,7 @@ public class ApplicationConfig {
     public static final Integer ARANGODB_BATCH = ConfigUtils.getIntProperty( "arangoDB.batch");
 
     public static final Integer UPDATE_ARANGO_BATCH = ConfigUtils.getIntProperty("update.arango.batch");
-    public static final Long ARANGODB_READ_LIMIT = ConfigUtils.getLongProperty("arangoDB.read.limit");
+    public static final String ARANGODB_READ_LIMIT = ConfigUtils.getStringProperty("arangoDB.read.limit");
 
     public static final Integer THREAD_POOL_NUMBER = ConfigUtils.getIntProperty( "thread.pool.number");
     public static final Integer THREAD_AWAIT_TERMINATION_TIME = ConfigUtils.getIntProperty( "thread.await.termination.time");

IP-learning-graph/src/main/java/cn/ac/iie/dao/BaseArangoData.java

@@ -42,10 +42,10 @@ public class BaseArangoData {
             }
             CountDownLatch countDownLatch = new CountDownLatch(ApplicationConfig.THREAD_POOL_NUMBER);
 //            long[] timeRange = getTimeRange(table);
-            Long countTotal = getCountTotal(table);
+            Long total = getCountTotal(table);
             for (int i = 0; i < ApplicationConfig.THREAD_POOL_NUMBER; i++) {
 //                String sql = getQuerySql(timeRange, i, table);
-                String sql = getQuerySql(countTotal, i, table);
+                String sql = getQuerySql(total, i, table);
                 ReadHistoryArangoData<T> readHistoryArangoData =
                         new ReadHistoryArangoData<>(arangoDBConnect, sql, map,type,table,countDownLatch);
                 threadPool.executor(readHistoryArangoData);
@@ -58,32 +58,30 @@ public class BaseArangoData {
         }
     }
 
-    public <T extends BaseDocument> ConcurrentHashMap<Integer,ConcurrentHashMap<String, T>> readHistoryData(String table, Class<T> type){
+    private Long getCountTotal(String table){
-        ConcurrentHashMap<Integer,ConcurrentHashMap<String, T>> map = new ConcurrentHashMap<>();
-        try {
-            LOG.info("开始更新"+table);
         long start = System.currentTimeMillis();
-            for (int i = 0; i < ApplicationConfig.THREAD_POOL_NUMBER; i++){
+        Long cnt = 0L;
-                map.put(i,new ConcurrentHashMap<>());
+        String sql = "RETURN LENGTH("+table+")";
+        try {
+            ArangoCursor<Long> longs = arangoDBConnect.executorQuery(sql, Long.class);
+            while (longs.hasNext()){
+                cnt = longs.next();
             }
-            CountDownLatch countDownLatch = new CountDownLatch(ApplicationConfig.THREAD_POOL_NUMBER);
-            Long countTotal = getCountTotal(table);
-            for (int i = 0; i < ApplicationConfig.THREAD_POOL_NUMBER; i++) {
-                String sql = getQuerySql(countTotal, i, table);
-                ReadHistoryArangoData<T> readHistoryArangoData =
-                        new ReadHistoryArangoData<>(arangoDBConnect, sql, map,type,table,countDownLatch);
-                threadPool.executor(readHistoryArangoData);
-            }
-            countDownLatch.await();
-            long last = System.currentTimeMillis();
-            LOG.info("读取"+table+" arangoDB 共耗时："+(last-start));
         }catch (Exception e){
-            e.printStackTrace();
+            LOG.error(sql +"执行异常");
-            LOG.error("读取历史数据失败 "+e.toString());
         }
-        return map;
+        long last = System.currentTimeMillis();
+        LOG.info(sql+" 结果："+cnt+" 执行时间："+(last-start));
+        return cnt;
     }
 
+    private String getQuerySql(Long cnt,int threadNumber, String table){
+        long sepNum = cnt / ApplicationConfig.THREAD_POOL_NUMBER + 1;
+        long offsetNum = threadNumber * sepNum;
+        return "FOR doc IN " + table + " limit "+offsetNum+","+sepNum+" RETURN doc";
+    }
+
+
     private long[] getTimeRange(String table){
         long minTime = 0L;
         long maxTime = 0L;
@@ -109,33 +107,6 @@ public class BaseArangoData {
 
     }
 
-    private Long getCountTotal(String table){
-        long start = System.currentTimeMillis();
-        Long cnt = 0L;
-        String sql = "RETURN LENGTH("+table+")";
-        try {
-            ArangoCursor<Long> longs = arangoDBConnect.executorQuery(sql, Long.class);
-            while (longs.hasNext()){
-                cnt = longs.next();
-            }
-        }catch (Exception e){
-            LOG.error(sql +"执行异常");
-        }
-        long last = System.currentTimeMillis();
-        LOG.info(sql+" 结果："+cnt+" 执行时间："+(last-start));
-        return cnt;
-    }
-
-    private String getQuerySql(Long cnt,int threadNumber, String table){
-        long sepNum = cnt / ApplicationConfig.THREAD_POOL_NUMBER + 1;
-        long offsetNum = threadNumber * sepNum;
-        if (sepNum > ApplicationConfig.ARANGODB_READ_LIMIT){
-            sepNum = ApplicationConfig.ARANGODB_READ_LIMIT;
-        }
-        return "FOR doc IN " + table + " limit "+offsetNum+","+sepNum+" RETURN doc";
-    }
-
-
     private String getQuerySql(long[] timeRange,int threadNumber,String table){
         long minTime = timeRange[0];
         long maxTime = timeRange[1];

IP-learning-graph/src/main/java/cn/ac/iie/dao/BaseClickhouseData.java

@@ -73,51 +73,5 @@ public class BaseClickhouseData {
         }
     }
 
-    public <T extends BaseDocument> HashMap<Integer, HashMap<String,ArrayList<T>>> baseDocFromCk(Supplier<String> getSqlSupplier,
-                                                             Function<ResultSet,T> formatResultFunc){
-        long start = System.currentTimeMillis();
-        HashMap<Integer, HashMap<String, ArrayList<T>>> newDataMap = initializeMap();
-        if (newDataMap == null){
-            return null;
-        }
-        String sql = getSqlSupplier.get();
-        try {
-            connection = manger.getConnection();
-            statement = connection.createStatement();
-            ResultSet resultSet = statement.executeQuery(sql);
-            int i = 0;
-            while (resultSet.next()) {
-                T newDoc = formatResultFunc.apply(resultSet);
-                if (newDoc != null) {
-                    i+=1;
-                    putMapByHashcode(newDoc, newDataMap);
-                }
-            }
-            long last = System.currentTimeMillis();
-            LOG.info(sql + "\n读取"+i+"条数据，运行时间：" + (last - start));
-        }catch (Exception e){
-            e.printStackTrace();
-            LOG.error("获取原始数据失败 "+e.toString());
-        }finally {
-            manger.clear(statement,connection);
-        }
-        return newDataMap;
-    }
-
-    private <T extends BaseDocument> HashMap<Integer, HashMap<String,ArrayList<T>>> initializeMap(){
-        try {
-            HashMap<Integer, HashMap<String, ArrayList<T>>> newDataMap = new HashMap<>();
-            for (int i = 0; i < ApplicationConfig.THREAD_POOL_NUMBER; i++) {
-                newDataMap.put(i, new HashMap<>());
-            }
-            return newDataMap;
-        }catch (Exception e){
-            e.printStackTrace();
-            LOG.error("数据初始化失败 "+e.toString());
-            return null;
-        }
-
-    }
-
 
 }

IP-learning-graph/src/main/java/cn/ac/iie/dao/UpdateGraphData.java

@@ -47,11 +47,11 @@ public class UpdateGraphData {
 //            updateDocument(newVertexFqdnMap, historyVertexFqdnMap, "FQDN", Fqdn.class,BaseDocument.class,
 //                    ReadClickhouseData::getVertexFqdnSql,ReadClickhouseData::getVertexFqdnDocument);
 
-            updateDocument(newVertexIpMap,historyVertexIpMap,"IP", Ip.class,BaseDocument.class,
+//            updateDocument(newVertexIpMap,historyVertexIpMap,"IP", Ip.class,BaseDocument.class,
-                    ReadClickhouseData::getVertexIpSql,ReadClickhouseData::getVertexIpDocument);
+//                    ReadClickhouseData::getVertexIpSql,ReadClickhouseData::getVertexIpDocument);
 
-            updateDocument(newVertexSubscriberMap,historyVertexSubscriberMap,"SUBSCRIBER", Subscriber.class,BaseDocument.class,
+//            updateDocument(newVertexSubscriberMap,historyVertexSubscriberMap,"SUBSCRIBER", Subscriber.class,BaseDocument.class,
-                    ReadClickhouseData::getVertexSubscriberSql,ReadClickhouseData::getVertexSubscriberDocument);
+//                    ReadClickhouseData::getVertexSubscriberSql,ReadClickhouseData::getVertexSubscriberDocument);
 
             updateDocument(newRelationFqdnAddressIpMap,historyRelationFqdnAddressIpMap,"R_LOCATE_FQDN2IP", LocateFqdn2Ip.class,BaseEdgeDocument.class,
                     ReadClickhouseData::getRelationshipFqdnAddressIpSql,ReadClickhouseData::getRelationFqdnAddressIpDocument);
@@ -60,44 +60,9 @@ public class UpdateGraphData {
 //                    VisitIp2Fqdn.class,BaseEdgeDocument.class,
 //                    ReadClickhouseData::getRelationshipIpVisitFqdnSql,ReadClickhouseData::getRelationIpVisitFqdnDocument);
 
-            updateDocument(newRelationSubsciberLocateIpMap,historyRelationSubsciberLocateIpMap,"R_LOCATE_SUBSCRIBER2IP",
+//            updateDocument(newRelationSubsciberLocateIpMap,historyRelationSubsciberLocateIpMap,"R_LOCATE_SUBSCRIBER2IP",
-                    LocateSubscriber2Ip.class,BaseEdgeDocument.class,
+//                    LocateSubscriber2Ip.class,BaseEdgeDocument.class,
-                    ReadClickhouseData::getRelationshipSubsciberLocateIpSql,ReadClickhouseData::getRelationshipSubsciberLocateIpDocument);
+//                    ReadClickhouseData::getRelationshipSubsciberLocateIpSql,ReadClickhouseData::getRelationshipSubsciberLocateIpDocument);
-
-
-            long last = System.currentTimeMillis();
-            LOG.info("iplearning application运行完毕，用时："+(last - start));
-        }catch (Exception e){
-            e.printStackTrace();
-        }finally {
-            arangoManger.clean();
-            pool.shutdown();
-        }
-    }
-
-    public void updateArango2(){
-        long start = System.currentTimeMillis();
-        try {
-
-//            updateDocument("FQDN", Fqdn.class,BaseDocument.class,
-//                    ReadClickhouseData::getVertexFqdnSql,ReadClickhouseData::getVertexFqdnDocument);
-
-            updateDocument("IP", Ip.class,BaseDocument.class,
-                    ReadClickhouseData::getVertexIpSql,ReadClickhouseData::getVertexIpDocument);
-
-            updateDocument("SUBSCRIBER", Subscriber.class,BaseDocument.class,
-                    ReadClickhouseData::getVertexSubscriberSql,ReadClickhouseData::getVertexSubscriberDocument);
-
-            updateDocument("R_LOCATE_FQDN2IP", LocateFqdn2Ip.class,BaseEdgeDocument.class,
-                    ReadClickhouseData::getRelationshipFqdnAddressIpSql,ReadClickhouseData::getRelationFqdnAddressIpDocument);
-
-//            updateDocument("R_VISIT_IP2FQDN",
-//                    VisitIp2Fqdn.class,BaseEdgeDocument.class,
-//                    ReadClickhouseData::getRelationshipIpVisitFqdnSql,ReadClickhouseData::getRelationIpVisitFqdnDocument);
-
-            updateDocument("R_LOCATE_SUBSCRIBER2IP",
-                    LocateSubscriber2Ip.class,BaseEdgeDocument.class,
-                    ReadClickhouseData::getRelationshipSubsciberLocateIpSql,ReadClickhouseData::getRelationshipSubsciberLocateIpDocument);
 
 
             long last = System.currentTimeMillis();
@@ -151,45 +116,5 @@ public class UpdateGraphData {
         }
     }
 
-    private <T extends BaseDocument> void updateDocument(String collection,
-                                                         Class<? extends Document<T>> taskType,
-                                                         Class<T> docmentType,
-                                                         Supplier<String> getSqlSupplier,
-                                                         Function<ResultSet,T> formatResultFunc){
-        ConcurrentHashMap<Integer, ConcurrentHashMap<String, T>> historyData = baseArangoData.readHistoryData(collection, docmentType);
-        LOG.info(collection+" 读取clickhouse,封装结果集");
-        HashMap<Integer, HashMap<String, ArrayList<T>>> newData = baseClickhouseData.baseDocFromCk(getSqlSupplier, formatResultFunc);
-        try {
-            LOG.info(collection+" 开始更新");
-            long start = System.currentTimeMillis();
-            CountDownLatch countDownLatch = new CountDownLatch(ApplicationConfig.THREAD_POOL_NUMBER);
-            for (int i = 0; i < ApplicationConfig.THREAD_POOL_NUMBER; i++){
-                HashMap<String, ArrayList<T>> tmpNewMap = newData.get(i);
-                ConcurrentHashMap<String, T> tmpHisMap = historyData.get(i);
-                Constructor constructor = taskType.getConstructor(
-                        HashMap.class,
-                        ArangoDBConnect.class,
-                        String.class,
-                        ConcurrentHashMap.class,
-                        CountDownLatch.class);
-                Document docTask = (Document)constructor.newInstance(tmpNewMap, arangoManger, collection, tmpHisMap, countDownLatch);
-                pool.executor(docTask);
-            }
-            countDownLatch.await();
-            long last = System.currentTimeMillis();
-            LOG.info(collection+" 更新完毕,共耗时："+(last-start));
-
-        }catch (Exception e){
-            e.printStackTrace();
-            LOG.error("更新"+collection+"失败！！"+e.toString());
-        }finally {
-            newData.clear();
-            historyData.clear();
-        }
-
-
-    }
-
-
 
 }

IP-learning-graph/src/main/java/cn/ac/iie/service/ingestion/ReadClickhouseData.java

@@ -257,40 +257,40 @@ public class ReadClickhouseData {
 
     public static String getVertexFqdnSql() {
         String where = "common_recv_time >= " + minTime + " AND common_recv_time < " + maxTime;
-        String sslSql = "SELECT ssl_sni AS FQDN,MAX( common_recv_time ) AS LAST_FOUND_TIME,MIN( common_recv_time ) AS FIRST_FOUND_TIME FROM tsg_galaxy_v3.session_record WHERE " + where + " and common_schema_type = 'SSL' GROUP BY ssl_sni";
+        String sslSql = "SELECT ssl_sni AS FQDN,MAX( common_recv_time ) AS LAST_FOUND_TIME,MIN( common_recv_time ) AS FIRST_FOUND_TIME FROM tsg_galaxy_v3.connection_record_log WHERE " + where + " and common_schema_type = 'SSL' GROUP BY ssl_sni";
-        String httpSql = "SELECT http_host AS FQDN,MAX( common_recv_time ) AS LAST_FOUND_TIME,MIN( common_recv_time ) AS FIRST_FOUND_TIME FROM tsg_galaxy_v3.session_record WHERE " + where + " and common_schema_type = 'HTTP' GROUP BY http_host";
+        String httpSql = "SELECT http_host AS FQDN,MAX( common_recv_time ) AS LAST_FOUND_TIME,MIN( common_recv_time ) AS FIRST_FOUND_TIME FROM tsg_galaxy_v3.connection_record_log WHERE " + where + " and common_schema_type = 'HTTP' GROUP BY http_host";
         return "SELECT FQDN,MAX( LAST_FOUND_TIME ) AS LAST_FOUND_TIME,MIN( FIRST_FOUND_TIME ) AS FIRST_FOUND_TIME FROM ((" + sslSql + ") UNION ALL (" + httpSql + ")) GROUP BY FQDN HAVING FQDN != ''";
     }
 
     public static String getVertexIpSql() {
         String where = " common_recv_time >= " + minTime + " AND common_recv_time < " + maxTime;
-        String clientIpSql = "SELECT common_client_ip AS IP, MIN(common_recv_time) AS FIRST_FOUND_TIME,MAX(common_recv_time) AS LAST_FOUND_TIME,count(*) as SESSION_COUNT,sum(common_c2s_byte_num+common_s2c_byte_num) as BYTES_SUM,groupUniqArray(2)(common_link_info_c2s) as common_link_info,'client' as ip_type FROM tsg_galaxy_v3.session_record where " + where + " group by IP";
+        String clientIpSql = "SELECT common_client_ip AS IP, MIN(common_recv_time) AS FIRST_FOUND_TIME,MAX(common_recv_time) AS LAST_FOUND_TIME,count(*) as SESSION_COUNT,sum(common_c2s_byte_num+common_s2c_byte_num) as BYTES_SUM,groupUniqArray(2)(common_link_info) as common_link_info,'client' as ip_type FROM tsg_galaxy_v3.connection_record_log where " + where + " group by IP";
-        String serverIpSql = "SELECT common_server_ip AS IP, MIN(common_recv_time) AS FIRST_FOUND_TIME,MAX(common_recv_time) AS LAST_FOUND_TIME,count(*) as SESSION_COUNT,sum(common_c2s_byte_num+common_s2c_byte_num) as BYTES_SUM,groupUniqArray(2)(common_link_info_s2c) as common_link_info,'server' as ip_type FROM tsg_galaxy_v3.session_record where " + where + " group by IP";
+        String serverIpSql = "SELECT common_server_ip AS IP, MIN(common_recv_time) AS FIRST_FOUND_TIME,MAX(common_recv_time) AS LAST_FOUND_TIME,count(*) as SESSION_COUNT,sum(common_c2s_byte_num+common_s2c_byte_num) as BYTES_SUM,groupUniqArray(2)(common_link_info) as common_link_info,'server' as ip_type FROM tsg_galaxy_v3.connection_record_log where " + where + " group by IP";
         return "SELECT * FROM((" + clientIpSql + ") UNION ALL (" + serverIpSql + "))";
     }
 
     public static String getRelationshipFqdnAddressIpSql() {
-        String where = " common_recv_time >= " + minTime + " AND common_recv_time < " + maxTime;
+        String where = " common_end_time >= " + minTime + " AND common_end_time < " + maxTime;
-        String sslSql = "SELECT ssl_sni AS FQDN,common_server_ip,MAX(common_recv_time) AS LAST_FOUND_TIME,MIN(common_recv_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,groupUniqArray("+DISTINCT_CLIENT_IP_NUM+")(common_client_ip) AS DIST_CIP_RECENT,'TLS' AS  schema_type FROM tsg_galaxy_v3.session_record WHERE " + where + " and common_schema_type = 'SSL' GROUP BY ssl_sni,common_server_ip";
+        String sslSql = "SELECT ssl_sni AS FQDN,common_server_ip,MAX(common_end_time) AS LAST_FOUND_TIME,MIN(common_end_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,groupUniqArray("+DISTINCT_CLIENT_IP_NUM+")(common_client_ip) AS DIST_CIP_RECENT,'TLS' AS  schema_type FROM tsg_galaxy_v3.connection_record_log WHERE " + where + " and common_schema_type = 'SSL' GROUP BY ssl_sni,common_server_ip";
-        String httpSql = "SELECT http_host AS FQDN,common_server_ip,MAX(common_recv_time) AS LAST_FOUND_TIME,MIN(common_recv_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,groupUniqArray("+DISTINCT_CLIENT_IP_NUM+")(common_client_ip) AS DIST_CIP_RECENT,'HTTP' AS schema_type FROM tsg_galaxy_v3.session_record WHERE " + where + " and common_schema_type = 'HTTP' GROUP BY http_host,common_server_ip";
+        String httpSql = "SELECT http_host AS FQDN,common_server_ip,MAX(common_end_time) AS LAST_FOUND_TIME,MIN(common_end_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,groupUniqArray("+DISTINCT_CLIENT_IP_NUM+")(common_client_ip) AS DIST_CIP_RECENT,'HTTP' AS schema_type FROM tsg_galaxy_v3.connection_record_log WHERE " + where + " and common_schema_type = 'HTTP' GROUP BY http_host,common_server_ip";
         return "SELECT * FROM ((" + sslSql + ") UNION ALL (" + httpSql + "))WHERE FQDN != ''";
     }
 
     public static String getRelationshipIpVisitFqdnSql() {
         String where = " common_recv_time >= " + minTime + " AND common_recv_time < " + maxTime;
-        String httpSql = "SELECT http_host AS FQDN,common_client_ip,MAX(common_recv_time) AS LAST_FOUND_TIME,MIN(common_recv_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,'HTTP' AS schema_type FROM tsg_galaxy_v3.session_record WHERE " + where + " and common_schema_type = 'HTTP' GROUP BY http_host,common_client_ip";
+        String httpSql = "SELECT http_host AS FQDN,common_client_ip,MAX(common_recv_time) AS LAST_FOUND_TIME,MIN(common_recv_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,'HTTP' AS schema_type FROM tsg_galaxy_v3.connection_record_log WHERE " + where + " and common_schema_type = 'HTTP' GROUP BY http_host,common_client_ip";
-        String sslSql = "SELECT ssl_sni AS FQDN,common_client_ip,MAX(common_recv_time) AS LAST_FOUND_TIME,MIN(common_recv_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,'TLS' AS schema_type FROM tsg_galaxy_v3.session_record WHERE common_schema_type = 'SSL' GROUP BY ssl_sni,common_client_ip";
+        String sslSql = "SELECT ssl_sni AS FQDN,common_client_ip,MAX(common_recv_time) AS LAST_FOUND_TIME,MIN(common_recv_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,'TLS' AS schema_type FROM tsg_galaxy_v3.connection_record_log WHERE common_schema_type = 'SSL' GROUP BY ssl_sni,common_client_ip";
         return "SELECT * FROM ((" + sslSql + ") UNION ALL (" + httpSql + "))WHERE FQDN != ''";
     }
 
     public static String getVertexSubscriberSql() {
         String where = " common_recv_time >= " + minTime + " AND common_recv_time < " + maxTime + " AND common_subscriber_id != '' AND radius_packet_type = 4 AND radius_acct_status_type = 1";
-        return "SELECT common_subscriber_id,MAX(common_recv_time) as LAST_FOUND_TIME,MIN(common_recv_time) as FIRST_FOUND_TIME FROM radius_record WHERE" + where + " GROUP BY common_subscriber_id";
+        return "SELECT common_subscriber_id,MAX(common_recv_time) as LAST_FOUND_TIME,MIN(common_recv_time) as FIRST_FOUND_TIME FROM radius_record_log WHERE" + where + " GROUP BY common_subscriber_id";
     }
 
     public static String getRelationshipSubsciberLocateIpSql() {
         String where = " common_recv_time >= " + minTime + " AND common_recv_time < " + maxTime + " AND common_subscriber_id != '' AND radius_framed_ip != '' AND radius_packet_type = 4 AND radius_acct_status_type = 1";
-        return "SELECT common_subscriber_id,radius_framed_ip,MAX(common_recv_time) as LAST_FOUND_TIME,MIN(common_recv_time) as FIRST_FOUND_TIME,COUNT(*) as COUNT_TOTAL FROM radius_record WHERE" + where + " GROUP BY common_subscriber_id,radius_framed_ip";
+        return "SELECT common_subscriber_id,radius_framed_ip,MAX(common_recv_time) as LAST_FOUND_TIME,MIN(common_recv_time) as FIRST_FOUND_TIME,COUNT(*) as COUNT_TOTAL FROM radius_record_log WHERE" + where + " GROUP BY common_subscriber_id,radius_framed_ip";
     }
 
     private static long[] getTimeLimit() {

IP-learning-graph/src/main/java/cn/ac/iie/service/ingestion/ReadHistoryArangoData.java

@@ -97,6 +97,11 @@ public class ReadHistoryArangoData<T extends BaseDocument> extends Thread {
     private void deleteDistinctClientIpByTime(T doc) {
         ArrayList<String> distCip = (ArrayList<String>) doc.getAttribute("DIST_CIP");
         ArrayList<Long> distCipTs = (ArrayList<Long>) doc.getAttribute("DIST_CIP_TS");
+        if (distCip == null || distCip.isEmpty()){
+            doc.updateAttribute("DIST_CIP", new String[0]);
+            doc.updateAttribute("DIST_CIP_TS", new long[0]);
+            return;
+        }
         distCipTs.add(currentHour - RECENT_COUNT_HOUR * 3600);
         Collections.sort(distCipTs);
         Collections.reverse(distCipTs);

IP-learning-graph/src/main/java/cn/ac/iie/service/update/vertex/Ip.java

@@ -33,10 +33,10 @@ public class Ip extends Vertex {
     }
 
     private void updateIpByType(BaseDocument newDocument, BaseDocument historyDocument) {
-//        putSumAttribute(newDocument, historyDocument, "CLIENT_SESSION_COUNT");
+        putSumAttribute(newDocument, historyDocument, "CLIENT_SESSION_COUNT");
-//        putSumAttribute(newDocument, historyDocument, "CLIENT_BYTES_SUM");
+        putSumAttribute(newDocument, historyDocument, "CLIENT_BYTES_SUM");
-//        putSumAttribute(newDocument, historyDocument, "SERVER_SESSION_COUNT");
+        putSumAttribute(newDocument, historyDocument, "SERVER_SESSION_COUNT");
-//        putSumAttribute(newDocument, historyDocument, "SERVER_BYTES_SUM");
+        putSumAttribute(newDocument, historyDocument, "SERVER_BYTES_SUM");
     }
 
 }

IP-learning-graph/src/main/java/cn/ac/iie/test/IpLearningApplicationTest.java

@@ -6,7 +6,7 @@ public class IpLearningApplicationTest {
 
     public static void main(String[] args) {
         UpdateGraphData updateGraphData = new UpdateGraphData();
-        updateGraphData.updateArango2();
+        updateGraphData.updateArango();
 
     }
 }

IP-learning-graph/src/main/resources/application.properties

@@ -1,25 +1,27 @@
 #arangoDB参数配置
-arangoDB.host=192.168.44.12
+arangoDB.host=192.168.40.182
+#arangoDB.host=192.168.40.224
 arangoDB.port=8529
-arangoDB.user=root
+arangoDB.user=upsert
-arangoDB.password=ceiec2019
+arangoDB.password=ceiec2018
-arangoDB.DB.name=tsg_galaxy_v3
+arangoDB.DB.name=ip-learning-test-0
+#arangoDB.DB.name=tsg_galaxy_v3
 arangoDB.batch=100000
 arangoDB.ttl=3600
 
-arangoDB.read.limit=10000000
+arangoDB.read.limit=
 update.arango.batch=10000
 
-thread.pool.number=10
+thread.pool.number=80
 thread.await.termination.time=10
 
 
 #读取clickhouse时间范围方式，0：读取过去一小时，1：指定时间范围
-time.limit.type=0
+time.limit.type=1
-read.clickhouse.max.time=1596684142
+read.clickhouse.max.time=1598246519
-read.clickhouse.min.time=1596425769
+read.clickhouse.min.time=1597161600
 
 update.interval=3600
-distinct.client.ip.num=10000
+distinct.client.ip.num=1
 recent.count.hour=24
 

IP-learning-graph/src/main/resources/clickhouse.properties

@@ -1,7 +1,9 @@
 drivers=ru.yandex.clickhouse.ClickHouseDriver
 mdb.user=default
-db.id=192.168.44.67:8123/tsg_galaxy_v3?socket_timeout=3600000
+db.id=192.168.40.186:8123/tsg_galaxy_v3?socket_timeout=300000
-mdb.password=ceiec2019
+mdb.password=111111
+#db.id=192.168.40.224:8123/tsg_galaxy_v3?socket_timeout=300000
+#mdb.password=ceiec2019
 initialsize=1
 minidle=1
 maxactive=50

IP-learning-graph/src/test/java/cn/ac/iie/TestReadClickhouse.java

@@ -1,46 +0,0 @@
-package cn.ac.iie;
-
-import cn.ac.iie.dao.BaseClickhouseData;
-import cn.ac.iie.service.ingestion.ReadClickhouseData;
-import com.arangodb.entity.BaseDocument;
-import com.arangodb.entity.BaseEdgeDocument;
-import org.junit.Test;
-
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.Set;
-
-public class TestReadClickhouse {
-
-    private static BaseClickhouseData baseClickhouseData = new BaseClickhouseData();
-
-    @Test
-    public void testReadFqdnFromCk(){
-
-
-        HashMap<Integer, HashMap<String, ArrayList<BaseDocument>>> newData =
-                baseClickhouseData.baseDocFromCk(ReadClickhouseData::getVertexFqdnSql,
-                        ReadClickhouseData::getVertexFqdnDocument);
-        printMap(newData);
-
-    }
-
-    @Test
-    public void testReadFqdnLocIpFromCk(){
-        HashMap<Integer, HashMap<String, ArrayList<BaseEdgeDocument>>> map =
-                baseClickhouseData.baseDocFromCk(ReadClickhouseData::getRelationshipFqdnAddressIpSql,
-                        ReadClickhouseData::getRelationFqdnAddressIpDocument);
-
-        printMap(map);
-    }
-
-
-    private<T extends BaseDocument> void printMap(HashMap<Integer, HashMap<String, ArrayList<T>>> newData){
-        HashMap<String, ArrayList<T>> map = newData.get(1);
-        Set<String> strings = map.keySet();
-        for (String key:strings){
-            ArrayList<T> baseDocuments = map.get(key);
-            System.out.println(baseDocuments.get(0));
-        }
-    }
-}

ip-learning-spark/pom.xml

@@ -63,18 +63,6 @@
         <version>6.6.3</version>
     </dependency>
 
-    <dependency>
-        <groupId>com.arangodb</groupId>
-        <artifactId>velocypack-module-jdk8</artifactId>
-        <version>1.1.0</version>
-    </dependency>
-
-    <dependency>
-        <groupId>com.arangodb</groupId>
-        <artifactId>velocypack-module-scala_2.11</artifactId>
-        <version>1.2.0</version>
-    </dependency>
-
     <dependency>
         <groupId>org.scala-lang</groupId>
         <artifactId>scala-library</artifactId>
@@ -87,11 +75,6 @@
         <version>3.2.0</version>
     </dependency>
 
-    <dependency>
-        <groupId>org.scala-lang.modules</groupId>
-        <artifactId>scala-xml_2.11</artifactId>
-        <version>1.0.4</version>
-    </dependency>
 
     <dependency>
         <groupId>org.scala-tools</groupId>

ip-learning-spark/src/main/java/cn/ac/iie/dao/BaseArangoData.java

@@ -0,0 +1,128 @@
+package cn.ac.iie.dao;
+
+import cn.ac.iie.config.ApplicationConfig;
+import cn.ac.iie.service.read.ReadHistoryArangoData;
+import cn.ac.iie.utils.ArangoDBConnect;
+import cn.ac.iie.utils.ExecutorThreadPool;
+import com.arangodb.ArangoCursor;
+import com.arangodb.entity.BaseDocument;
+import com.arangodb.entity.BaseEdgeDocument;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.CountDownLatch;
+
+/**
+ * 获取arangoDB历史数据
+ *
+ * @author wlh
+ */
+public class BaseArangoData {
+    private static final Logger LOG = LoggerFactory.getLogger(BaseArangoData.class);
+
+    public static ConcurrentHashMap<Integer, ConcurrentHashMap<String, BaseDocument>> historyVertexFqdnMap = new ConcurrentHashMap<>();
+    public static ConcurrentHashMap<Integer, ConcurrentHashMap<String, BaseDocument>> historyVertexIpMap = new ConcurrentHashMap<>();
+    public static ConcurrentHashMap<Integer, ConcurrentHashMap<String, BaseDocument>> historyVertexSubscriberMap = new ConcurrentHashMap<>();
+    public static ConcurrentHashMap<Integer, ConcurrentHashMap<String, BaseEdgeDocument>> historyRelationFqdnAddressIpMap = new ConcurrentHashMap<>();
+    public static ConcurrentHashMap<Integer, ConcurrentHashMap<String, BaseEdgeDocument>> historyRelationIpVisitFqdnMap = new ConcurrentHashMap<>();
+    public static ConcurrentHashMap<Integer, ConcurrentHashMap<String, BaseEdgeDocument>> historyRelationFqdnSameFqdnMap = new ConcurrentHashMap<>();
+    public static ConcurrentHashMap<Integer, ConcurrentHashMap<String, BaseEdgeDocument>> historyRelationSubsciberLocateIpMap = new ConcurrentHashMap<>();
+
+    private static ArangoDBConnect arangoDBConnect = ArangoDBConnect.getInstance();
+
+    private ExecutorThreadPool threadPool = ExecutorThreadPool.getInstance();
+
+    public <T extends BaseDocument> ConcurrentHashMap<Integer, ConcurrentHashMap<String, T>> readHistoryData(String table, Class<T> type) {
+        ConcurrentHashMap<Integer, ConcurrentHashMap<String, T>> historyMap = new ConcurrentHashMap<>();
+        try {
+            LOG.warn("开始更新" + table);
+            long start = System.currentTimeMillis();
+            for (int i = 0; i < ApplicationConfig.THREAD_POOL_NUMBER(); i++) {
+                historyMap.put(i, new ConcurrentHashMap<>());
+            }
+            CountDownLatch countDownLatch = new CountDownLatch(ApplicationConfig.THREAD_POOL_NUMBER());
+//            long[] timeRange = getTimeRange(table);
+            Long total = getCountTotal(table);
+            for (int i = 0; i < ApplicationConfig.THREAD_POOL_NUMBER(); i++) {
+//                String sql = getQuerySql(timeRange, i, table);
+                String sql = getQuerySql(total, i, table);
+                ReadHistoryArangoData<T> readHistoryArangoData = new ReadHistoryArangoData<>(arangoDBConnect, sql, historyMap, type, table, countDownLatch);
+                threadPool.executor(readHistoryArangoData);
+            }
+            countDownLatch.await();
+            long last = System.currentTimeMillis();
+            LOG.warn("读取" + table + " arangoDB 共耗时：" + (last - start));
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        return historyMap;
+    }
+
+    private Long getCountTotal(String table){
+        long start = System.currentTimeMillis();
+        Long cnt = 0L;
+        String sql = "RETURN LENGTH("+table+")";
+        try {
+            ArangoCursor<Long> longs = arangoDBConnect.executorQuery(sql, Long.class);
+            while (longs.hasNext()){
+                cnt = longs.next();
+            }
+        }catch (Exception e){
+            LOG.error(sql +"执行异常");
+        }
+        long last = System.currentTimeMillis();
+        LOG.warn(sql+" 结果："+cnt+" 执行时间："+(last-start));
+        return cnt;
+    }
+
+    private String getQuerySql(Long cnt,int threadNumber, String table){
+        long sepNum = cnt / ApplicationConfig.THREAD_POOL_NUMBER() + 1;
+        long offsetNum = threadNumber * sepNum;
+        return "FOR doc IN " + table + " limit "+offsetNum+","+sepNum+" RETURN doc";
+    }
+
+    private long[] getTimeRange(String table) {
+        long minTime = 0L;
+        long maxTime = 0L;
+        long startTime = System.currentTimeMillis();
+        String sql = "LET doc = (FOR doc IN " + table + " RETURN doc) return {max_time:MAX(doc[*].FIRST_FOUND_TIME),min_time:MIN(doc[*].FIRST_FOUND_TIME)}";
+        switch (ApplicationConfig.ARANGO_TIME_LIMIT_TYPE()) {
+            case 0:
+                ArangoCursor<BaseDocument> timeDoc = arangoDBConnect.executorQuery(sql, BaseDocument.class);
+                try {
+                    if (timeDoc != null) {
+                        while (timeDoc.hasNext()) {
+                            BaseDocument doc = timeDoc.next();
+                            maxTime = Long.parseLong(doc.getAttribute("max_time").toString()) + ApplicationConfig.THREAD_POOL_NUMBER();
+                            minTime = Long.parseLong(doc.getAttribute("min_time").toString());
+                        }
+                    } else {
+                        LOG.warn("获取ArangoDb时间范围为空");
+                    }
+                } catch (Exception e) {
+                    e.printStackTrace();
+                }
+                break;
+            case 1:
+                maxTime = ApplicationConfig.READ_ARANGO_MAX_TIME();
+                minTime = ApplicationConfig.READ_ARANGO_MIN_TIME();
+                break;
+            default:
+        }
+        long lastTime = System.currentTimeMillis();
+        LOG.warn(sql + "\n查询最大最小时间用时：" + (lastTime - startTime));
+        return new long[]{minTime, maxTime};
+
+    }
+
+    private String getQuerySql(long[] timeRange, int threadNumber, String table) {
+        long minTime = timeRange[0];
+        long maxTime = timeRange[1];
+        long diffTime = (maxTime - minTime) / ApplicationConfig.THREAD_POOL_NUMBER();
+        long maxThreadTime = minTime + (threadNumber + 1) * diffTime;
+        long minThreadTime = minTime + threadNumber * diffTime;
+        return "FOR doc IN " + table + " filter doc.FIRST_FOUND_TIME >= " + minThreadTime + " and doc.FIRST_FOUND_TIME <= " + maxThreadTime + " " + ApplicationConfig.ARANGODB_READ_LIMIT() + " RETURN doc";
+    }
+
+}

ip-learning-spark/src/main/java/cn/ac/iie/service/read/ReadHistoryArangoData.java

@@ -0,0 +1,132 @@
+package cn.ac.iie.service.read;
+
+import cn.ac.iie.config.ApplicationConfig;
+import cn.ac.iie.utils.ArangoDBConnect;
+import com.arangodb.ArangoCursor;
+import com.arangodb.entity.BaseDocument;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.CountDownLatch;
+
+
+/**
+ * @author wlh
+ * 多线程全量读取arangoDb历史数据，封装到map
+ */
+public class ReadHistoryArangoData<T extends BaseDocument> extends Thread {
+    public static long currentHour = System.currentTimeMillis() / (60 * 60 * 1000) * 60 * 60;
+    private static final Logger LOG = LoggerFactory.getLogger(ReadHistoryArangoData.class);
+    static final Integer RECENT_COUNT_HOUR = ApplicationConfig.RECENT_COUNT_HOUR();
+
+    public static final HashSet<String> PROTOCOL_SET;
+
+    static {
+        PROTOCOL_SET = new HashSet<>();
+        PROTOCOL_SET.add("HTTP");
+        PROTOCOL_SET.add("TLS");
+        PROTOCOL_SET.add("DNS");
+    }
+
+    private ArangoDBConnect arangoConnect;
+    private String query;
+    private ConcurrentHashMap<Integer,ConcurrentHashMap<String, T>> map;
+    private Class<T> type;
+    private String table;
+    private CountDownLatch countDownLatch;
+
+    public ReadHistoryArangoData(ArangoDBConnect arangoConnect,
+                                 String query,
+                                 ConcurrentHashMap<Integer,ConcurrentHashMap<String, T>> map,
+                                 Class<T> type,
+                                 String table,
+                                 CountDownLatch countDownLatch) {
+        this.arangoConnect = arangoConnect;
+        this.query = query;
+        this.map = map;
+        this.type = type;
+        this.table = table;
+        this.countDownLatch = countDownLatch;
+    }
+
+    @Override
+    public void run() {
+        try {
+            long s = System.currentTimeMillis();
+            LOG.warn(query+" \n 开始查询");
+            ArangoCursor<T> docs = arangoConnect.executorQuery(query, type);
+            if (docs != null) {
+                List<T> baseDocuments = docs.asListRemaining();
+                int i = 0;
+                for (T doc : baseDocuments) {
+                    String key = doc.getKey();
+                    switch (table) {
+                        case "R_LOCATE_FQDN2IP":
+                            updateProtocolDocument(doc);
+                            deleteDistinctClientIpByTime(doc);
+                            break;
+//                        case "R_VISIT_IP2FQDN":
+//                            updateProtocolDocument(doc);
+//                            break;
+                        default:
+                    }
+                    int hashCode = Math.abs(key.hashCode()) % ApplicationConfig.THREAD_POOL_NUMBER();
+                    ConcurrentHashMap<String, T> tmpMap = map.get(hashCode);
+                    tmpMap.put(key, doc);
+                    i++;
+                }
+                long l = System.currentTimeMillis();
+                LOG.warn(query + "\n读取" + i + "条数据，运行时间：" + (l - s));
+            }
+        }catch (Exception e){
+            e.printStackTrace();
+        }finally {
+            countDownLatch.countDown();
+            LOG.warn("本线程读取完毕，剩余线程数量："+countDownLatch.getCount());
+        }
+    }
+
+    private void updateProtocolDocument(T doc) {
+        if (doc.getProperties().containsKey("PROTOCOL_TYPE")) {
+            for (String protocol : PROTOCOL_SET) {
+                String protocolRecent = protocol + "_CNT_RECENT";
+                ArrayList<Long> cntRecent = (ArrayList<Long>) doc.getAttribute(protocolRecent);
+                Long[] cntRecentsSrc = cntRecent.toArray(new Long[cntRecent.size()]);
+                Long[] cntRecentsDst = new Long[RECENT_COUNT_HOUR];
+                System.arraycopy(cntRecentsSrc, 0, cntRecentsDst, 1, cntRecentsSrc.length - 1);
+                cntRecentsDst[0] = 0L;
+                doc.addAttribute(protocolRecent, cntRecentsDst);
+            }
+        }
+    }
+
+    private void deleteDistinctClientIpByTime(T doc) {
+        ArrayList<String> distCip = (ArrayList<String>) doc.getAttribute("DIST_CIP");
+        ArrayList<Long> distCipTs = (ArrayList<Long>) doc.getAttribute("DIST_CIP_TS");
+        if (distCip == null || distCip.isEmpty()){
+            doc.updateAttribute("DIST_CIP", new String[0]);
+            doc.updateAttribute("DIST_CIP_TS", new long[0]);
+            return;
+        }
+
+        distCipTs.add(currentHour - RECENT_COUNT_HOUR * 3600);
+        Collections.sort(distCipTs);
+        int index = distCipTs.indexOf(currentHour - RECENT_COUNT_HOUR * 3600);
+        String[] distCipArr = new String[index];
+        long[] disCipTsArr = new long[index];
+        if (distCip.size() + 1 == distCipTs.size()){
+            for (int i = 0; i < index; i++) {
+                distCipArr[i] = distCip.get(i);
+                disCipTsArr[i] = distCipTs.get(i);
+            }
+        }
+        doc.updateAttribute("DIST_CIP", distCipArr);
+        doc.updateAttribute("DIST_CIP_TS", disCipTsArr);
+    }
+
+}

ip-learning-spark/src/main/java/cn/ac/iie/utils/ArangoDBConnect.java

@@ -22,7 +22,6 @@ public class ArangoDBConnect {
     private static final Logger LOG = LoggerFactory.getLogger(ArangoDBConnect.class);
     private static ArangoDB arangoDB = null;
     private static ArangoDBConnect conn = null;
-
     static {
         getArangoDatabase();
     }
@@ -106,11 +105,12 @@ public class ArangoDBConnect {
                 }
             }
         }catch (Exception e){
-            LOG.error("更新失败：" + e.toString());
+            System.out.println("更新失败："+e.toString());
         }finally {
             docOverwrite.clear();
         }
     }
 
 
+
 }

ip-learning-spark/src/main/resources/application.properties

@@ -1,44 +1,48 @@
 #spark任务配置
-spark.sql.shuffle.partitions=10
+spark.sql.shuffle.partitions=5
 spark.executor.memory=4g
 spark.app.name=test
 spark.network.timeout=300s
+repartitionNumber=36
 spark.serializer=org.apache.spark.serializer.KryoSerializer
 master=local[*]
 #spark读取clickhouse配置
-spark.read.clickhouse.url=jdbc:clickhouse://192.168.44.67:8123/tsg_galaxy_v3
+#spark.read.clickhouse.url=jdbc:clickhouse://192.168.40.186:8123/tsg_galaxy_v3
+spark.read.clickhouse.url=jdbc:clickhouse://192.168.44.12:8123/tsg_galaxy_v3
 spark.read.clickhouse.driver=ru.yandex.clickhouse.ClickHouseDriver
 spark.read.clickhouse.user=default
+#spark.read.clickhouse.password=111111
 spark.read.clickhouse.password=ceiec2019
-spark.read.clickhouse.numPartitions=5
+spark.read.clickhouse.numPartitions=144
 spark.read.clickhouse.fetchsize=10000
-spark.read.clickhouse.partitionColumn=LAST_FOUND_TIME
+#spark.read.clickhouse.partitionColumn=common_end_time
-spark.read.clickhouse.session.table=session_record
+spark.read.clickhouse.partitionColumn=FIRST_FOUND_TIME
-spark.read.clickhouse.radius.table=radius_record
 clickhouse.socket.timeout=300000
 #arangoDB配置
-#arangoDB.host=192.168.40.223
+arangoDB.host=192.168.40.182
-arangoDB.host=192.168.44.12
 arangoDB.port=8529
-arangoDB.user=root
+arangoDB.user=upsert
-#arangoDB.password=galaxy_2019
+arangoDB.password=ceiec2018
-arangoDB.password=ceiec2019
+#arangoDB.DB.name=insert_iplearn_index
-arangoDB.DB.name=tsg_galaxy_v3_test
+arangoDB.DB.name=ip-learning-test-0
-#arangoDB.DB.name=iplearn_media_domain
 arangoDB.ttl=3600
 
-thread.pool.number=10
+thread.pool.number=5
 
 #读取clickhouse时间范围方式，0：读取过去一小时；1：指定时间范围
-clickhouse.time.limit.type=0
+clickhouse.time.limit.type=1
-read.clickhouse.max.time=1608518990
+read.clickhouse.max.time=1598246519
-read.clickhouse.min.time=1604851201
+read.clickhouse.min.time=1597161600
 
+#读取arangoDB时间范围方式，0：正常读；1：指定时间范围
+arango.time.limit.type=0
+read.arango.max.time=1598246519
+read.arango.min.time=1597161600
+
+arangoDB.read.limit=
 update.arango.batch=10000
 
-distinct.client.ip.num=10000
+distinct.client.ip.num=1
 recent.count.hour=24
 
 update.interval=3600
-
-arangodb.total.num=20000000

ip-learning-spark/src/main/resources/log4j.properties

@@ -4,15 +4,20 @@ log4j.logger.org.apache.http.wire=OFF
 
 #Log4j
 log4j.rootLogger=info,console,file
+# <20><><EFBFBD><EFBFBD>̨<EFBFBD><CCA8>־<EFBFBD><D6BE><EFBFBD><EFBFBD>
 log4j.appender.console=org.apache.log4j.ConsoleAppender
 log4j.appender.console.Threshold=warn
 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
 
+# <20>ļ<EFBFBD><C4BC><EFBFBD>־<EFBFBD><D6BE><EFBFBD><EFBFBD>
 log4j.appender.file=org.apache.log4j.DailyRollingFileAppender
 log4j.appender.file.Threshold=warn
 log4j.appender.file.encoding=UTF-8
 log4j.appender.file.Append=true
+#·<><C2B7><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>·<EFBFBD><C2B7><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ز<EFBFBD><D8B2><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ӧ<EFBFBD><D3A6>Ŀ<EFBFBD><C4BF>
+#log4j.appender.file.file=/home/ceiec/iplearning/logs/ip-learning-application.log
+#log4j.appender.file.file=/home/ceiec/iplearning/testLog/ip-learning-application.log
 log4j.appender.file.file=./logs/ip-learning-application.log
 log4j.appender.file.DatePattern='.'yyyy-MM-dd
 log4j.appender.file.layout=org.apache.log4j.PatternLayout

ip-learning-spark/src/main/scala/cn/ac/iie/config/ApplicationConfig.scala

@@ -20,8 +20,6 @@ object ApplicationConfig {
   val SPARK_READ_CLICKHOUSE_PASSWORD: String = config.getString("spark.read.clickhouse.password")
   val SPARK_READ_CLICKHOUSE_FETCHSIZE: String = config.getString("spark.read.clickhouse.fetchsize")
   val SPARK_READ_CLICKHOUSE_PARTITIONCOLUMN: String = config.getString("spark.read.clickhouse.partitionColumn")
-  val SPARK_READ_CLICKHOUSE_SESSION_TABLE: String = config.getString("spark.read.clickhouse.session.table")
-  val SPARK_READ_CLICKHOUSE_RADIUS_TABLE: String = config.getString("spark.read.clickhouse.radius.table")
 
   val ARANGODB_HOST: String= config.getString("arangoDB.host")
   val ARANGODB_PORT: Int = config.getInt("arangoDB.port")
@@ -38,12 +36,16 @@ object ApplicationConfig {
   val READ_CLICKHOUSE_MAX_TIME: Long = config.getLong("read.clickhouse.max.time")
   val READ_CLICKHOUSE_MIN_TIME: Long = config.getLong("read.clickhouse.min.time")
 
+  val ARANGO_TIME_LIMIT_TYPE: Int = config.getInt("arango.time.limit.type")
+
+  val READ_ARANGO_MAX_TIME: Long = config.getLong("read.arango.max.time")
+  val READ_ARANGO_MIN_TIME: Long = config.getLong("read.arango.min.time")
+
+  val ARANGODB_READ_LIMIT: String = config.getString("arangoDB.read.limit")
   val UPDATE_ARANGO_BATCH: Int = config.getInt("update.arango.batch")
   val RECENT_COUNT_HOUR: Int = config.getInt("recent.count.hour")
   val DISTINCT_CLIENT_IP_NUM: Int = config.getInt("distinct.client.ip.num")
 
   val UPDATE_INTERVAL: Int = config.getInt("update.interval")
 
-  val ARANGODB_TOTAL_NUM: Long = config.getLong("arangodb.total.num")
-
 }

ip-learning-spark/src/main/scala/cn/ac/iie/dao/BaseArangoData.scala

@@ -1,22 +0,0 @@
-package cn.ac.iie.dao
-
-import cn.ac.iie.config.ApplicationConfig
-import cn.ac.iie.spark.ArangoSpark
-import cn.ac.iie.spark.rdd.{ArangoRdd, ReadOptions}
-import cn.ac.iie.utils.SparkSessionUtil.sparkContext
-import org.slf4j.LoggerFactory
-
-import scala.reflect.ClassTag
-
-object BaseArangoData {
-  private val LOG = LoggerFactory.getLogger(BaseArangoData.getClass)
-  private val options = ReadOptions(ApplicationConfig.ARANGODB_DB_NAME)
-
-  def loadArangoRdd[T: ClassTag](name:String): ArangoRdd[T] ={
-    val value = ArangoSpark.load[T](sparkContext, name, options)
-
-    LOG.warn(s"读取$name arangoDb:${value.count()}")
-    value
-  }
-
-}

ip-learning-spark/src/main/scala/cn/ac/iie/dao/BaseClickhouseData.scala

@@ -28,80 +28,37 @@ object BaseClickhouseData {
       .load()
     dataFrame.printSchema()
     dataFrame.createOrReplaceGlobalTempView("dbtable")
-
     dataFrame
   }
 
-  def getVertexFqdnDf: DataFrame = {
+  def loadConnectionDataFromCk(): Unit ={
-    val where = "common_recv_time >= " + timeLimit._2 + " AND common_recv_time < " + timeLimit._1
+    val where = "common_end_time >= " + timeLimit._2 + " AND common_end_time < " + timeLimit._1 + " and common_schema_type != 'BASE'"
     val sql =
       s"""
         |(SELECT
-        | FQDN,MAX( LAST_FOUND_TIME ) AS LAST_FOUND_TIME,MIN( FIRST_FOUND_TIME ) AS FIRST_FOUND_TIME
+        | ssl_sni,http_host,common_client_ip,common_server_ip,common_end_time,common_c2s_byte_num,common_s2c_byte_num,common_schema_type
         |FROM
-        | ((SELECT
+        | connection_record_log
-        |    ssl_sni AS FQDN,MAX( common_recv_time ) AS LAST_FOUND_TIME,MIN( common_recv_time ) AS FIRST_FOUND_TIME
+        |WHERE $where) as dbtable
-        |   FROM ${ApplicationConfig.SPARK_READ_CLICKHOUSE_SESSION_TABLE}
-        |   WHERE $where and common_schema_type = 'SSL' GROUP BY ssl_sni
-        |  )UNION ALL
-        |  (SELECT
-        |    http_host AS FQDN,MAX( common_recv_time ) AS LAST_FOUND_TIME,MIN( common_recv_time ) AS FIRST_FOUND_TIME
-        |   FROM ${ApplicationConfig.SPARK_READ_CLICKHOUSE_SESSION_TABLE}
-        |   WHERE $where and common_schema_type = 'HTTP' GROUP BY http_host))
-        |GROUP BY FQDN HAVING FQDN != '') as dbtable
       """.stripMargin
+
     LOG.warn(sql)
-    val frame = initClickhouseData(sql)
+    initClickhouseData(sql)
-    frame.printSchema()
-    frame
   }
 
-  def getVertexIpDf: DataFrame = {
+  def getRelationFqdnLocateIpDf(): DataFrame ={
-    val where = "common_recv_time >= " + timeLimit._2 + " AND common_recv_time < " + timeLimit._1
+    val where = "common_end_time >= " + timeLimit._2 + " AND common_end_time < " + timeLimit._1 + " and common_schema_type != 'BASE'"
     val sql =
       s"""
          |(SELECT * FROM
-         |((SELECT common_client_ip AS IP,MIN(common_recv_time) AS FIRST_FOUND_TIME,
+         |((SELECT ssl_sni AS FQDN,common_server_ip,MAX(common_end_time) AS LAST_FOUND_TIME,MIN(common_end_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,
-         |MAX(common_recv_time) AS LAST_FOUND_TIME,
-         |count(*) as SESSION_COUNT,
-         |SUM(common_c2s_byte_num+common_s2c_byte_num) as BYTES_SUM,
-         |groupUniqArray(2)(common_link_info_c2s)[2] as common_link_info,
-         |'client' as ip_type
-         |FROM ${ApplicationConfig.SPARK_READ_CLICKHOUSE_SESSION_TABLE}
-         |where $where
-         |group by common_client_ip)
-         |UNION ALL
-         |(SELECT common_server_ip AS IP,
-         |MIN(common_recv_time) AS FIRST_FOUND_TIME,
-         |MAX(common_recv_time) AS LAST_FOUND_TIME,
-         |count(*) as SESSION_COUNT,
-         |SUM(common_c2s_byte_num+common_s2c_byte_num) as BYTES_SUM,
-         |groupUniqArray(2)(common_link_info_s2c)[2] as common_link_info,
-         |'server' as ip_type
-         |FROM ${ApplicationConfig.SPARK_READ_CLICKHOUSE_SESSION_TABLE}
-         |where $where
-         |group by common_server_ip))) as dbtable
-      """.stripMargin
-    LOG.warn(sql)
-    val frame = initClickhouseData(sql)
-    frame.printSchema()
-    frame
-  }
-
-
-  def getRelationFqdnLocateIpDf: DataFrame = {
-    val where = "common_recv_time >= " + timeLimit._2 + " AND common_recv_time < " + timeLimit._1
-    val sql =
-      s"""
-         |(SELECT * FROM
-         |((SELECT ssl_sni AS FQDN,common_server_ip,MAX(common_recv_time) AS LAST_FOUND_TIME,MIN(common_recv_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,
          |toString(groupUniqArray(${ApplicationConfig.DISTINCT_CLIENT_IP_NUM})(common_client_ip)) AS DIST_CIP_RECENT,'TLS' AS  schema_type
-         |FROM ${ApplicationConfig.SPARK_READ_CLICKHOUSE_SESSION_TABLE}
+         |FROM tsg_galaxy_v3.connection_record_log
          |WHERE $where and common_schema_type = 'SSL' GROUP BY ssl_sni,common_server_ip)
          |UNION ALL
-         |(SELECT http_host AS FQDN,common_server_ip,MAX(common_recv_time) AS LAST_FOUND_TIME,MIN(common_recv_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,
+         |(SELECT http_host AS FQDN,common_server_ip,MAX(common_end_time) AS LAST_FOUND_TIME,MIN(common_end_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,
          |toString(groupUniqArray(${ApplicationConfig.DISTINCT_CLIENT_IP_NUM})(common_client_ip)) AS DIST_CIP_RECENT,'HTTP' AS schema_type
-         |FROM ${ApplicationConfig.SPARK_READ_CLICKHOUSE_SESSION_TABLE}
+         |FROM tsg_galaxy_v3.connection_record_log
          |WHERE $where and common_schema_type = 'HTTP' GROUP BY http_host,common_server_ip))
          |WHERE FQDN != '') as dbtable
       """.stripMargin
@@ -111,29 +68,7 @@ object BaseClickhouseData {
     frame
   }
 
-  def getRelationSubidLocateIpDf: DataFrame = {
+  private def loadRadiusDataFromCk(): Unit ={
-    val where =
-      s"""
-         | common_recv_time >= ${timeLimit._2}
-         | AND common_recv_time < ${timeLimit._1}
-         | AND common_subscriber_id != ''
-         | AND radius_framed_ip != ''
-      """.stripMargin
-    val sql =
-      s"""
-         |(
-         |SELECT common_subscriber_id,radius_framed_ip,MAX(common_recv_time) as LAST_FOUND_TIME,MIN(common_recv_time) as FIRST_FOUND_TIME
-         |FROM ${ApplicationConfig.SPARK_READ_CLICKHOUSE_RADIUS_TABLE}
-         |WHERE $where GROUP BY common_subscriber_id,radius_framed_ip
-         |) as dbtable
-      """.stripMargin
-    LOG.warn(sql)
-    val frame = initClickhouseData(sql)
-    frame.printSchema()
-    frame
-  }
-
-  def getVertexSubidDf: DataFrame = {
     val where =
       s"""
         | common_recv_time >= ${timeLimit._2}
@@ -145,41 +80,139 @@ object BaseClickhouseData {
       """.stripMargin
     val sql =
       s"""
-         |(
+        |(SELECT
-         |SELECT common_subscriber_id,MAX(common_recv_time) as LAST_FOUND_TIME,MIN(common_recv_time) as FIRST_FOUND_TIME FROM ${ApplicationConfig.SPARK_READ_CLICKHOUSE_RADIUS_TABLE}
+        | common_subscriber_id,radius_framed_ip,common_recv_time
-         |WHERE $where GROUP BY common_subscriber_id
+        |FROM
-         |)as dbtable
+        | tsg_galaxy_v3.radius_record_log
+        |WHERE
+        | $where) as dbtable
       """.stripMargin
     LOG.warn(sql)
-    val frame = initClickhouseData(sql)
+    initClickhouseData(sql)
-    frame.printSchema()
-    frame
   }
 
-  def getVertexFramedIpDf: DataFrame = {
+  def getVertexFqdnDf: DataFrame ={
-    val where =
+    loadConnectionDataFromCk()
-      s"""
-         | common_recv_time >= ${timeLimit._2}
-         | AND common_recv_time < ${timeLimit._1}
-         | AND common_subscriber_id != ''
-         | AND radius_framed_ip != ''
-         | AND radius_packet_type = 4
-         | AND radius_acct_status_type = 1
-         |
-      """.stripMargin
     val sql =
-      s"""
+      """
+        |SELECT
+        | FQDN,MAX( LAST_FOUND_TIME ) AS LAST_FOUND_TIME,MIN( FIRST_FOUND_TIME ) AS FIRST_FOUND_TIME
+        |FROM
         | (
-         |SELECT radius_framed_ip,MAX(common_recv_time) as LAST_FOUND_TIME FROM ${ApplicationConfig.SPARK_READ_CLICKHOUSE_RADIUS_TABLE} WHERE $where
+        |  (SELECT
-         |GROUP BY radius_framed_ip
+        |    ssl_sni AS FQDN,MAX( common_recv_time ) AS LAST_FOUND_TIME,MIN( common_recv_time ) AS FIRST_FOUND_TIME
-         |)as dbtable
+        |   FROM
+        |    global_temp.dbtable
+        |   WHERE
+        |    common_schema_type = 'SSL' GROUP BY ssl_sni
+        |  )
+        |  UNION ALL
+        |  (SELECT
+        |    http_host AS FQDN,MAX( common_recv_time ) AS LAST_FOUND_TIME,MIN( common_recv_time ) AS FIRST_FOUND_TIME
+        |   FROM
+        |    global_temp.dbtable
+        |   WHERE
+        |    common_schema_type = 'HTTP' GROUP BY http_host
+        |  )
+        | )
+        |GROUP BY
+        | FQDN
+        |HAVING
+        | FQDN != ''
       """.stripMargin
     LOG.warn(sql)
-    val frame = initClickhouseData(sql)
+    val vertexFqdnDf = spark.sql(sql)
-    frame.printSchema()
+    vertexFqdnDf.printSchema()
-    frame
+    vertexFqdnDf
   }
 
+  def getVertexIpDf: DataFrame ={
+    loadConnectionDataFromCk()
+    val sql =
+      """
+        |SELECT
+        | *
+        |FROM
+        | (
+        |  (
+        |   SELECT
+        |    common_client_ip AS IP,
+        |    MIN(common_recv_time) AS FIRST_FOUND_TIME,
+        |    MAX(common_recv_time) AS LAST_FOUND_TIME,
+        |    count(*) as SESSION_COUNT,
+        |    sum(common_c2s_byte_num) as BYTES_SUM,
+        |    'client' as ip_type
+        |   FROM
+        |    global_temp.dbtable
+        |   GROUP BY
+        |    IP
+        |  )
+        | UNION ALL
+        |  (
+        |   SELECT
+        |    common_server_ip AS IP,
+        |    MIN(common_recv_time) AS FIRST_FOUND_TIME,
+        |    MAX(common_recv_time) AS LAST_FOUND_TIME,
+        |    count(*) as SESSION_COUNT,
+        |    sum(common_s2c_byte_num) as BYTES_SUM,
+        |    'server' as ip_type
+        |   FROM
+        |    global_temp.dbtable
+        |   GROUP BY
+        |    IP
+        |  )
+        | )
+      """.stripMargin
+    LOG.warn(sql)
+    val vertexIpDf = spark.sql(sql)
+    vertexIpDf.printSchema()
+    vertexIpDf
+  }
+
+  /*
+  def getRelationFqdnLocateIpDf: DataFrame ={
+    loadConnectionDataFromCk()
+    val sslSql =
+      """
+        |SELECT
+        | ssl_sni AS FQDN,
+        | common_server_ip,
+        | MAX(common_end_time) AS LAST_FOUND_TIME,
+        | MIN(common_end_time) AS FIRST_FOUND_TIME,
+        | COUNT(*) AS COUNT_TOTAL,
+        | 'TLS' AS  schema_type
+        |FROM
+        | global_temp.dbtable
+        |WHERE
+        | common_schema_type = 'SSL'
+        |GROUP BY
+        | ssl_sni,common_server_ip
+      """.stripMargin
+
+    val httpSql =
+      """
+        |SELECT
+        | http_host AS FQDN,
+        | common_server_ip,
+        | MAX(common_end_time) AS LAST_FOUND_TIME,
+        | MIN(common_end_time) AS FIRST_FOUND_TIME,
+        | COUNT(*) AS COUNT_TOTAL,
+        | 'HTTP' AS schema_type
+        |FROM
+        | global_temp.dbtable
+        |WHERE
+        | common_schema_type = 'HTTP'
+        |GROUP BY
+        | http_host,common_server_ip
+      """.stripMargin
+    val sql = s"SELECT * FROM (($sslSql) UNION ALL ($httpSql)) WHERE FQDN != ''"
+
+    LOG.warn(sql)
+    val relationFqdnLocateIpDf = spark.sql(sql)
+    relationFqdnLocateIpDf.printSchema()
+    relationFqdnLocateIpDf
+  }
+  */
 
   private def getTimeLimit: (Long,Long) ={
     var maxTime = 0L

ip-learning-spark/src/main/scala/cn/ac/iie/service/transform/MergeDataFrame.scala

@@ -3,10 +3,8 @@ package cn.ac.iie.service.transform
 import java.util.regex.Pattern
 
 import cn.ac.iie.config.ApplicationConfig
-import cn.ac.iie.dao.{BaseArangoData, BaseClickhouseData}
+import cn.ac.iie.dao.BaseClickhouseData
 import cn.ac.iie.spark.partition.CustomPartitioner
-import cn.ac.iie.spark.rdd.ArangoRdd
-import com.arangodb.entity.{BaseDocument, BaseEdgeDocument}
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.functions._
@@ -16,38 +14,28 @@ object MergeDataFrame {
   private val LOG = LoggerFactory.getLogger(MergeDataFrame.getClass)
   private val pattern = Pattern.compile("^[\\d]*$")
 
-  def mergeVertexFqdn(): RDD[(String, (Option[BaseDocument], Row))] = {
+  def mergeVertexFqdn(): RDD[Row] ={
-    val fqdnRddRow: RDD[(String, Row)] = BaseClickhouseData.getVertexFqdnDf
+    BaseClickhouseData.getVertexFqdnDf
-        .repartition().rdd.filter(row => isDomain(row.getAs[String](0))).map(row => {
+      .rdd.filter(row => isDomain(row.getAs[String](0))).map(row => (row.get(0),row))
-      (row.getAs[String]("FQDN"), row)
+      .partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)).values
-    })/*.partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))*/
-
-    val fqdnRddDoc: ArangoRdd[BaseDocument] = BaseArangoData.loadArangoRdd[BaseDocument]("FQDN")
-
-    fqdnRddDoc.map(doc => (doc.getKey, doc)).rightOuterJoin(fqdnRddRow)
   }
 
-  def mergeVertexIp(): RDD[(String, (Option[BaseDocument], Row))] = {
+  def mergeVertexIp(): RDD[Row]={
     val vertexIpDf = BaseClickhouseData.getVertexIpDf
-    val frame = vertexIpDf.repartition().groupBy("IP").agg(
+    val frame = vertexIpDf.groupBy("IP").agg(
       min("FIRST_FOUND_TIME").alias("FIRST_FOUND_TIME"),
       max("LAST_FOUND_TIME").alias("LAST_FOUND_TIME"),
       collect_list("SESSION_COUNT").alias("SESSION_COUNT_LIST"),
       collect_list("BYTES_SUM").alias("BYTES_SUM_LIST"),
-      collect_list("ip_type").alias("ip_type_list"),
+      collect_list("ip_type").alias("ip_type_list")
-      last("common_link_info").alias("common_link_info")
     )
-    val ipRddRow = frame.rdd.map(row => {
+    val values = frame.rdd.map(row => (row.get(0), row))
-      (row.getAs[String]("IP"), row)
+      .partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)).values
-    })/*.partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))*/
+    values
-    val ipRddDoc = BaseArangoData.loadArangoRdd[BaseDocument]("IP")
-    ipRddDoc.map(doc => (doc.getKey, doc)).rightOuterJoin(ipRddRow)
-
   }
 
-  def mergeRelationFqdnLocateIp(): RDD[(String, (Option[BaseEdgeDocument], Row))] = {
+  def mergeRelationFqdnLocateIp(): RDD[Row] ={
-    val frame = BaseClickhouseData.getRelationFqdnLocateIpDf
+    val frame = BaseClickhouseData.getRelationFqdnLocateIpDf().filter(row => isDomain(row.getAs[String]("FQDN")))
-      .repartition().filter(row => isDomain(row.getAs[String]("FQDN")))
       .groupBy("FQDN", "common_server_ip")
       .agg(
         min("FIRST_FOUND_TIME").alias("FIRST_FOUND_TIME"),
@@ -56,53 +44,13 @@ object MergeDataFrame {
         collect_list("schema_type").alias("schema_type_list"),
         collect_set("DIST_CIP_RECENT").alias("DIST_CIP_RECENT")
       )
-    val fqdnLocIpRddRow = frame.rdd.map(row => {
+    frame.rdd.map(row => {
       val fqdn = row.getAs[String]("FQDN")
       val serverIp = row.getAs[String]("common_server_ip")
       val key = fqdn.concat("-"+serverIp)
       (key,row)
-    })/*.partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))*/
-    val fqdnLocIpRddDoc = BaseArangoData.loadArangoRdd[BaseEdgeDocument]("R_LOCATE_FQDN2IP")
-    fqdnLocIpRddDoc.map(doc => (doc.getKey, doc)).rightOuterJoin(fqdnLocIpRddRow)
-
-  }
-
-  def mergeRelationSubidLocateIp(): RDD[(String, (Option[BaseEdgeDocument], Row))] = {
-    val subidLocIpRddRow = BaseClickhouseData.getRelationSubidLocateIpDf
-      .repartition(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)
-      .rdd.map(row => {
-      val commonSubscriberId = row.getAs[String]("common_subscriber_id")
-      val ip = row.getAs[String]("radius_framed_ip")
-      val key = commonSubscriberId.concat("-" + ip)
-      (key, row)
-    }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))
-    val subidLocIpRddDoc = BaseArangoData.loadArangoRdd[BaseEdgeDocument]("R_LOCATE_SUBSCRIBER2IP")
-
-    subidLocIpRddDoc.map(doc => (doc.getKey, doc)).rightOuterJoin(subidLocIpRddRow)
-  }
-
-  def mergeVertexSubid(): RDD[(String, (Option[BaseDocument], Row))] = {
-    val subidRddRow = BaseClickhouseData.getVertexSubidDf
-      .repartition(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)
-      .rdd.map(row => {
-      val commonSubscriberId = row.getAs[String]("common_subscriber_id")
-      (commonSubscriberId, row)
-    }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))
-
-    val subidRddDoc = BaseArangoData.loadArangoRdd[BaseDocument]("SUBSCRIBER")
-
-    subidRddDoc.map(doc => (doc.getKey, doc)).rightOuterJoin(subidRddRow)
-
-  }
-
-  def mergeVertexFrameIp: RDD[Row] = {
-    val values = BaseClickhouseData.getVertexFramedIpDf
-      .repartition(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)
-      .rdd.map(row => {
-      val ip = row.getAs[String]("radius_framed_ip")
-      (ip, row)
     }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)).values
-    values
+
   }
 
   private def isDomain(fqdn: String): Boolean = {
@@ -110,10 +58,9 @@ object MergeDataFrame {
       if (fqdn == null || fqdn.length == 0) {
         return false
       }
-
+      val domain = fqdn.split(":")(0)
-      val fqdnArr = fqdn.split(":")(0).split("\\.")
+      val fqdnArr = domain.split("\\.")
-
+      if (fqdnArr.length < 4 || fqdnArr.length > 4){
-      if (fqdnArr.length != 4) {
         return true
       }
       for (f <- fqdnArr) {
@@ -128,10 +75,9 @@ object MergeDataFrame {
       }
     } catch {
       case e: Exception =>
-        LOG.error("解析域名 " + fqdn + " 失败：\n" + e.toString)
+        LOG.warn("解析域名 " + fqdn + " 失败：\n" + e.toString)
     }
     false
-
   }
 
 }

ip-learning-spark/src/main/scala/cn/ac/iie/service/update/UpdateDocHandler.scala

@@ -1,11 +1,10 @@
 package cn.ac.iie.service.update
 
 
-import java.util
+import java.lang
 
-import scala.collection.JavaConversions._
 import cn.ac.iie.config.ApplicationConfig
-import cn.ac.iie.dao.BaseClickhouseData
+import cn.ac.iie.service.read.ReadHistoryArangoData
 import com.arangodb.entity.{BaseDocument, BaseEdgeDocument}
 
 import scala.collection.mutable
@@ -15,28 +14,18 @@ object UpdateDocHandler {
   val PROTOCOL_SET: Set[String] = Set("HTTP","TLS","DNS")
 
   def updateMaxAttribute(hisDoc: BaseDocument,newAttribute:Long,attributeName:String): Unit ={
-    if (hisDoc.getProperties.containsKey(attributeName)) {
     var hisAttritube = hisDoc.getAttribute(attributeName).toString.toLong
     if (newAttribute > hisAttritube){
       hisAttritube = newAttribute
     }
     hisDoc.addAttribute(attributeName,hisAttritube)
   }
-  }
 
   def updateSumAttribute(hisDoc: BaseDocument,newAttribute:Long,attributeName:String): Unit ={
-    if (hisDoc.getProperties.containsKey(attributeName)) {
     val hisAttritube = hisDoc.getAttribute(attributeName).toString.toLong
     hisDoc.addAttribute(attributeName,newAttribute+hisAttritube)
   }
 
-  }
-
-  def replaceAttribute(hisDoc: BaseDocument, newAttribute: String, attributeName: String): Unit = {
-    //      hisDoc.addAttribute(attributeName,newAttribute)
-    hisDoc.updateAttribute(attributeName, newAttribute)
-  }
-
   def separateAttributeByIpType(ipTypeList:ofRef[String],
                                 sessionCountList:ofRef[AnyRef],
                                 bytesSumList:ofRef[AnyRef]): (Long,Long,Long,Long) ={
@@ -73,22 +62,20 @@ object UpdateDocHandler {
   }
 
   def updateProtocolAttritube(hisDoc:BaseEdgeDocument, protocolMap: Map[String, Long]): Unit ={
-    if (hisDoc.getProperties.containsKey("PROTOCOL_TYPE")) {
     var protocolType = hisDoc.getAttribute("PROTOCOL_TYPE").toString
-      protocolMap.foreach((t: (String, Long)) => {
+    protocolMap.foreach(t => {
       if (t._2 > 0 && !protocolType.contains(t._1)){
         protocolType = protocolType.concat(","+ t._1)
       }
       val cntTotalName = t._1.concat("_CNT_TOTAL")
       val cntRecentName = t._1.concat("_CNT_RECENT")
-        val cntRecent = hisDoc.getAttribute(cntRecentName).asInstanceOf[Array[Long]]
+      val cntRecent: Array[lang.Long] = hisDoc.getAttribute(cntRecentName).asInstanceOf[Array[java.lang.Long]]
       cntRecent.update(0,t._2)
       updateSumAttribute(hisDoc,t._2,cntTotalName)
       hisDoc.addAttribute(cntRecentName,cntRecent)
     })
     hisDoc.addAttribute("PROTOCOL_TYPE",protocolType)
   }
-  }
 
   def putProtocolAttritube(doc:BaseEdgeDocument, protocolMap: Map[String, Long]): Unit ={
     val protocolTypeBuilder = new mutable.StringBuilder()
@@ -106,53 +93,37 @@ object UpdateDocHandler {
     doc.addAttribute("PROTOCOL_TYPE",protocolTypeBuilder.toString().replaceFirst(",",""))
   }
 
-  def updateProtocolDocument(doc: BaseEdgeDocument): Unit = {
-    if (doc.getProperties.containsKey("PROTOCOL_TYPE")) {
-      for (protocol <- PROTOCOL_SET) {
-        val protocolRecent = protocol + "_CNT_RECENT"
-        val cntRecent: util.ArrayList[Long] = doc.getAttribute(protocolRecent).asInstanceOf[util.ArrayList[Long]]
-        val cntRecentsSrc = cntRecent.toArray().map(_.toString.toLong)
-        val cntRecentsDst = new Array[Long](24)
-        System.arraycopy(cntRecentsSrc, 0, cntRecentsDst, 1, cntRecentsSrc.length - 1)
-        cntRecentsDst(0) = 0L
-        doc.addAttribute(protocolRecent, cntRecentsDst)
-      }
-    }
-  }
-
   def mergeDistinctIp(distCipRecent:ofRef[String]): Array[String] ={
     distCipRecent.flatMap(str => {
       str.replaceAll("\\[", "")
         .replaceAll("\\]", "")
-        .replaceAll("\\'", "")
+        .replaceAll("'", "")
         .split(",")
-    }).distinct.take(ApplicationConfig.DISTINCT_CLIENT_IP_NUM).toArray
+    }).distinct.toArray
+//     distCipRecent.flatten.distinct.take(ApplicationConfig.DISTINCT_CLIENT_IP_NUM).toArray
   }
 
-
   def putDistinctIp(doc:BaseEdgeDocument,newDistinctIp:Array[String]): Unit ={
     val map = newDistinctIp.map(ip => {
-      (ip, BaseClickhouseData.currentHour)
+      (ip, ReadHistoryArangoData.currentHour)
     }).toMap
     doc.addAttribute("DIST_CIP",map.keys.toArray)
     doc.addAttribute("DIST_CIP_TS",map.values.toArray)
   }
 
   def updateDistinctIp(hisDoc:BaseEdgeDocument,newDistinctIp:Array[String]): Unit ={
-    if (hisDoc.getProperties.containsKey("DIST_CIP") && hisDoc.getProperties.containsKey("DIST_CIP_TS")) {
+    val hisDistCip = hisDoc.getAttribute("DIST_CIP").asInstanceOf[Array[String]]
-      val hisDistCip = hisDoc.getAttribute("DIST_CIP").asInstanceOf[util.ArrayList[String]]
+    val hisDistCipTs = hisDoc.getAttribute("DIST_CIP_TS").asInstanceOf[Array[Long]]
-      val hisDistCipTs = hisDoc.getAttribute("DIST_CIP_TS").asInstanceOf[util.ArrayList[Long]]
     if (hisDistCip.length == hisDistCipTs.length){
       val distCipToTsMap: Map[String, Long] = hisDistCip.zip(hisDistCipTs).toMap
       val muDistCipToTsMap: mutable.Map[String, Long] = mutable.Map(distCipToTsMap.toSeq:_*)
       newDistinctIp.foreach(cip => {
-          muDistCipToTsMap.put(cip, BaseClickhouseData.currentHour)
+        muDistCipToTsMap.put(cip,ReadHistoryArangoData.currentHour)
       })
       val resultMap = muDistCipToTsMap.toList.sortBy(-_._2).take(ApplicationConfig.DISTINCT_CLIENT_IP_NUM).toMap
       hisDoc.addAttribute("DIST_CIP",resultMap.keys.toArray)
       hisDoc.addAttribute("DIST_CIP_TS",resultMap.values.toArray)
     }
   }
-  }
 
 }

ip-learning-spark/src/main/scala/cn/ac/iie/service/update/UpdateDocument.scala

@@ -1,12 +1,17 @@
 package cn.ac.iie.service.update
 
 import java.util
+import java.util.concurrent.ConcurrentHashMap
 
 import cn.ac.iie.config.ApplicationConfig
+import cn.ac.iie.dao.BaseArangoData
+import cn.ac.iie.dao.BaseArangoData._
 import cn.ac.iie.service.transform.MergeDataFrame._
 import cn.ac.iie.service.update.UpdateDocHandler._
-import cn.ac.iie.utils.{ArangoDBConnect, SparkSessionUtil}
+import cn.ac.iie.utils.{ArangoDBConnect, ExecutorThreadPool, SparkSessionUtil}
+import cn.ac.iie.utils.SparkSessionUtil.spark
 import com.arangodb.entity.{BaseDocument, BaseEdgeDocument}
+import org.apache.spark.TaskContext
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.Row
 import org.slf4j.LoggerFactory
@@ -14,52 +19,42 @@ import org.slf4j.LoggerFactory
 import scala.collection.mutable.WrappedArray.ofRef
 
 object UpdateDocument {
+  private val pool = ExecutorThreadPool.getInstance
   private val arangoManger: ArangoDBConnect = ArangoDBConnect.getInstance()
   private val LOG = LoggerFactory.getLogger(UpdateDocument.getClass)
+  private val baseArangoData = new BaseArangoData()
 
   def update(): Unit = {
     try {
-//      updateDocument("FQDN", getVertexFqdnRow, mergeVertexFqdn)
+      updateDocument("R_LOCATE_FQDN2IP", getRelationFqdnLocateIpRow, classOf[BaseEdgeDocument], mergeRelationFqdnLocateIp)
-
-      updateDocument("SUBSCRIBER", getVertexSubidRow, mergeVertexSubid)
-
-      insertFrameIp()
-
-      updateDocument("R_LOCATE_SUBSCRIBER2IP", getRelationSubidLocateIpRow, mergeRelationSubidLocateIp)
-
-      updateDocument("R_LOCATE_FQDN2IP", getRelationFqdnLocateIpRow, mergeRelationFqdnLocateIp)
-
-      updateDocument("IP", getVertexIpRow, mergeVertexIp)
-
     } catch {
       case e: Exception => e.printStackTrace()
     } finally {
+      pool.shutdown()
       arangoManger.clean()
       SparkSessionUtil.closeSpark()
-      System.exit(0)
     }
   }
 
   private def updateDocument[T <: BaseDocument](collName: String,
-                                                getDocumentRow: ((String, (Option[T], Row))) => T,
+                                                getDocumentRow: (Row, ConcurrentHashMap[String, T]) => T,
-                                                getJoinRdd: () => RDD[(String, (Option[T], Row))]
+                                                clazz: Class[T],
+                                                getNewDataRdd: () => RDD[Row]
                                                ): Unit = {
+    val historyMap = baseArangoData.readHistoryData(collName, clazz)
+    val hisBc = spark.sparkContext.broadcast(historyMap)
+    LOG.warn("广播变量发送完毕")
     try {
       val start = System.currentTimeMillis()
-      val joinRdd = getJoinRdd()
+      val newDataRdd = getNewDataRdd()
-
+      newDataRdd.foreachPartition(iter => {
-      val fqdnAccmu = SparkSessionUtil.getLongAccumulator(s"$collName Accumulator")
+        val partitionId: Int = TaskContext.get.partitionId
-
+        val dictionaryMap: ConcurrentHashMap[String, T] = hisBc.value.get(partitionId)
-      joinRdd.foreachPartition(iter => {
         val resultDocumentList = new util.ArrayList[T]
         var i = 0
         iter.foreach(row => {
-          val document: T = getDocumentRow(row)
+          val document = getDocumentRow(row, dictionaryMap)
-          if (document != null) {
-            fqdnAccmu.add(1)
-
           resultDocumentList.add(document)
-          }
           i += 1
           if (i >= ApplicationConfig.UPDATE_ARANGO_BATCH) {
             arangoManger.overwrite(resultDocumentList, collName)
@@ -72,245 +67,93 @@ object UpdateDocument {
           LOG.warn(s"更新$collName:" + i)
         }
       })
-
-      LOG.warn(s"更新$collName 条数:${fqdnAccmu.value}")
-
       val last = System.currentTimeMillis()
-      LOG.warn(s"更新$collName 时间:${last - start}")
+      LOG.warn(s"更新$collName 时间：${last - start}")
     } catch {
       case e: Exception => e.printStackTrace()
+    } finally {
+      hisBc.destroy()
     }
   }
 
-  private def insertFrameIp(): Unit = {
+  private def getVertexFqdnRow(row: Row, dictionaryMap: ConcurrentHashMap[String, BaseDocument]): BaseDocument = {
-    mergeVertexFrameIp.foreachPartition(iter => {
+    val fqdn = row.getAs[String]("FQDN")
-      val resultDocumentList = new util.ArrayList[BaseDocument]
+    val lastFoundTime = row.getAs[Long]("LAST_FOUND_TIME")
-      var i = 0
+    val firstFoundTime = row.getAs[Long]("FIRST_FOUND_TIME")
-      iter.foreach(row => {
+    var document: BaseDocument = dictionaryMap.getOrDefault(fqdn, null)
-        val document = getVertexFrameipRow(row)
+    if (document != null) {
-        resultDocumentList.add(document)
+      updateMaxAttribute(document, lastFoundTime, "LAST_FOUND_TIME")
-        i += 1
+    } else {
-        if (i >= ApplicationConfig.UPDATE_ARANGO_BATCH) {
+      document = new BaseDocument
-          arangoManger.overwrite(resultDocumentList, "IP")
+      document.setKey(fqdn)
-          LOG.warn(s"更新:IP" + i)
+      document.addAttribute("FQDN_NAME", fqdn)
-          i = 0
+      document.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
+      document.addAttribute("LAST_FOUND_TIME", lastFoundTime)
     }
-      })
-      if (i != 0) {
-        arangoManger.overwrite(resultDocumentList, "IP")
-        LOG.warn(s"更新IP:" + i)
-      }
-    })
-  }
-
-  private def getVertexFrameipRow(row: Row): BaseDocument = {
-    val ip = row.getAs[String]("radius_framed_ip")
-    val document = new BaseDocument()
-    document.setKey(ip)
-    document.addAttribute("IP", ip)
     document
   }
 
-  private def getRelationSubidLocateIpRow(joinRow: (String, (Option[BaseEdgeDocument], Row))): BaseEdgeDocument = {
+  private def getVertexIpRow(row: Row, dictionaryMap: ConcurrentHashMap[String, BaseDocument]): BaseDocument = {
-
+    val ip = row.getAs[String]("IP")
-    val subidLocIpDocOpt = joinRow._2._1
+    val firstFoundTime = row.getAs[Long]("FIRST_FOUND_TIME")
-    var subidLocIpDoc = subidLocIpDocOpt match {
+    val lastFoundTime = row.getAs[Long]("LAST_FOUND_TIME")
-      case Some(doc) => doc
+    val sessionCountList = row.getAs[ofRef[AnyRef]]("SESSION_COUNT_LIST")
-      case None => null
+    val bytesSumList = row.getAs[ofRef[AnyRef]]("BYTES_SUM_LIST")
-    }
+    val ipTypeList = row.getAs[ofRef[String]]("ip_type_list")
-
-    val subidLocIpRow = joinRow._2._2
-
-    //    val subidLocIpRow = subidLocIpRowOpt match {
-    //      case Some(r) => r
-    //      case None => null
-    //    }
-
-    if (subidLocIpRow != null) {
-      val subId = subidLocIpRow.getAs[String]("common_subscriber_id")
-      val ip = subidLocIpRow.getAs[String]("radius_framed_ip")
-      val lastFoundTime = subidLocIpRow.getAs[Long]("LAST_FOUND_TIME")
-      val firstFoundTime = subidLocIpRow.getAs[Long]("FIRST_FOUND_TIME")
-
-      val key = subId.concat("-" + ip)
-      if (subidLocIpDoc != null) {
-        updateMaxAttribute(subidLocIpDoc, lastFoundTime, "LAST_FOUND_TIME")
-      } else {
-        subidLocIpDoc = new BaseEdgeDocument()
-        subidLocIpDoc.setKey(key)
-        subidLocIpDoc.setFrom("SUBSCRIBER/" + subId)
-        subidLocIpDoc.setTo("IP/" + ip)
-        subidLocIpDoc.addAttribute("SUBSCRIBER", subId)
-        subidLocIpDoc.addAttribute("IP", ip)
-        subidLocIpDoc.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
-        subidLocIpDoc.addAttribute("LAST_FOUND_TIME", lastFoundTime)
-      }
-    }
-    subidLocIpDoc
-  }
-
-  private def getVertexSubidRow(joinRow: (String, (Option[BaseDocument], Row))): BaseDocument = {
-    val subidDocOpt = joinRow._2._1
-    var subidDoc = subidDocOpt match {
-      case Some(doc) => doc
-      case None => null
-    }
-
-    val subidRow = joinRow._2._2
-
-    //    val subidRow = subidRowOpt match {
-    //      case Some(r) => r
-    //      case None => null
-    //    }
-
-    if (subidRow != null) {
-      val subId = subidRow.getAs[String]("common_subscriber_id")
-      val subLastFoundTime = subidRow.getAs[Long]("LAST_FOUND_TIME")
-      val subFirstFoundTime = subidRow.getAs[Long]("FIRST_FOUND_TIME")
-      if (subidDoc != null) {
-        updateMaxAttribute(subidDoc, subLastFoundTime, "LAST_FOUND_TIME")
-      } else {
-        subidDoc = new BaseDocument()
-        subidDoc.setKey(subId)
-        subidDoc.addAttribute("SUBSCRIBER", subId)
-        subidDoc.addAttribute("FIRST_FOUND_TIME", subFirstFoundTime)
-        subidDoc.addAttribute("LAST_FOUND_TIME", subLastFoundTime)
-      }
-    }
-
-    subidDoc
-  }
-
-  private def getVertexFqdnRow(joinRow: (String, (Option[BaseDocument], Row))): BaseDocument = {
-    val fqdnDocOpt = joinRow._2._1
-    var fqdnDoc = fqdnDocOpt match {
-      case Some(doc) => doc
-      case None => null
-    }
-
-    val fqdnRow: Row = joinRow._2._2
-
-    //    val fqdnRow = fqdnRowOpt match {
-    //      case Some(r) => r
-    //      case None => null
-    //    }
-
-    if (fqdnRow != null) {
-      val fqdn = fqdnRow.getAs[String]("FQDN")
-      val lastFoundTime = fqdnRow.getAs[Long]("LAST_FOUND_TIME")
-      val firstFoundTime = fqdnRow.getAs[Long]("FIRST_FOUND_TIME")
-      if (fqdnDoc != null) {
-        updateMaxAttribute(fqdnDoc, lastFoundTime, "LAST_FOUND_TIME")
-      } else {
-        fqdnDoc = new BaseDocument
-        fqdnDoc.setKey(fqdn)
-        fqdnDoc.addAttribute("FQDN_NAME", fqdn)
-        fqdnDoc.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
-        fqdnDoc.addAttribute("LAST_FOUND_TIME", lastFoundTime)
-      }
-    }
-
-    fqdnDoc
-  }
-
-  private def getVertexIpRow(joinRow: (String, (Option[BaseDocument], Row))): BaseDocument = {
-    val ipDocOpt = joinRow._2._1
-    var ipDoc = ipDocOpt match {
-      case Some(doc) => doc
-      case None => null
-    }
-
-    val ipRow = joinRow._2._2
-
-    //    val ipRow = ipRowOpt match {
-    //      case Some(r) => r
-    //      case None => null
-    //    }
-
-    if (ipRow != null) {
-      val ip = ipRow.getAs[String]("IP")
-      val firstFoundTime = ipRow.getAs[Long]("FIRST_FOUND_TIME")
-      val lastFoundTime = ipRow.getAs[Long]("LAST_FOUND_TIME")
-      val sessionCountList = ipRow.getAs[ofRef[AnyRef]]("SESSION_COUNT_LIST")
-      val bytesSumList = ipRow.getAs[ofRef[AnyRef]]("BYTES_SUM_LIST")
-      val ipTypeList = ipRow.getAs[ofRef[String]]("ip_type_list")
-      val linkInfo = ipRow.getAs[String]("common_link_info")
     val sepAttributeTuple = separateAttributeByIpType(ipTypeList, sessionCountList, bytesSumList)
 
-      if (ipDoc != null) {
+    var document = dictionaryMap.getOrDefault(ip, null)
-        updateMaxAttribute(ipDoc, lastFoundTime, "LAST_FOUND_TIME")
+    if (document != null) {
-        updateSumAttribute(ipDoc, sepAttributeTuple._1, "SERVER_SESSION_COUNT")
+      updateMaxAttribute(document, lastFoundTime, "LAST_FOUND_TIME")
-        updateSumAttribute(ipDoc, sepAttributeTuple._2, "SERVER_BYTES_SUM")
+      updateSumAttribute(document, sepAttributeTuple._1, "SERVER_SESSION_COUNT")
-        updateSumAttribute(ipDoc, sepAttributeTuple._3, "CLIENT_SESSION_COUNT")
+      updateSumAttribute(document, sepAttributeTuple._2, "SERVER_BYTES_SUM")
-        updateSumAttribute(ipDoc, sepAttributeTuple._4, "CLIENT_BYTES_SUM")
+      updateSumAttribute(document, sepAttributeTuple._3, "CLIENT_SESSION_COUNT")
-        replaceAttribute(ipDoc, linkInfo, "COMMON_LINK_INFO")
+      updateSumAttribute(document, sepAttributeTuple._4, "CLIENT_BYTES_SUM")
     } else {
-        ipDoc = new BaseDocument
+      document = new BaseDocument
-        ipDoc.setKey(ip)
+      document.setKey(ip)
-        ipDoc.addAttribute("IP", ip)
+      document.addAttribute("IP", ip)
-        ipDoc.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
+      document.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
-        ipDoc.addAttribute("LAST_FOUND_TIME", lastFoundTime)
+      document.addAttribute("LAST_FOUND_TIME", lastFoundTime)
-        ipDoc.addAttribute("SERVER_SESSION_COUNT", sepAttributeTuple._1)
+      document.addAttribute("SERVER_SESSION_COUNT", sepAttributeTuple._1)
-        ipDoc.addAttribute("SERVER_BYTES_SUM", sepAttributeTuple._2)
+      document.addAttribute("SERVER_BYTES_SUM", sepAttributeTuple._2)
-        ipDoc.addAttribute("CLIENT_SESSION_COUNT", sepAttributeTuple._3)
+      document.addAttribute("CLIENT_SESSION_COUNT", sepAttributeTuple._3)
-        ipDoc.addAttribute("CLIENT_BYTES_SUM", sepAttributeTuple._4)
+      document.addAttribute("CLIENT_BYTES_SUM", sepAttributeTuple._4)
-        ipDoc.addAttribute("COMMON_LINK_INFO", "")
+      document.addAttribute("COMMON_LINK_INFO", "")
     }
+    document
   }
 
-    ipDoc
+  private def getRelationFqdnLocateIpRow(row: Row, dictionaryMap: ConcurrentHashMap[String, BaseEdgeDocument]): BaseEdgeDocument = {
-  }
+    val fqdn = row.getAs[String]("FQDN")
+    val serverIp = row.getAs[String]("common_server_ip")
+    val firstFoundTime = row.getAs[Long]("FIRST_FOUND_TIME")
+    val lastFoundTime = row.getAs[Long]("LAST_FOUND_TIME")
+    val countTotalList = row.getAs[ofRef[AnyRef]]("COUNT_TOTAL_LIST")
+    val schemaTypeList = row.getAs[ofRef[AnyRef]]("schema_type_list")
 
-  private def getRelationFqdnLocateIpRow(joinRow: (String, (Option[BaseEdgeDocument], Row))): BaseEdgeDocument = {
+    val distCipRecent = row.getAs[ofRef[String]]("DIST_CIP_RECENT")
-
+    val disCips = mergeDistinctIp(distCipRecent)
-    val fqdnLocIpDocOpt = joinRow._2._1
-    var fqdnLocIpDoc = fqdnLocIpDocOpt match {
-      case Some(doc) => doc
-      case None => null
-    }
-
-    val fqdnLocIpRow = joinRow._2._2
-
-    //    val fqdnLocIpRow = fqdnLocIpRowOpt match {
-    //      case Some(r) => r
-    //      case None => null
-    //    }
-
-    if (fqdnLocIpDoc != null) {
-      updateProtocolDocument(fqdnLocIpDoc)
-    }
-
-    if (fqdnLocIpRow != null) {
-      val fqdn = fqdnLocIpRow.getAs[String]("FQDN")
-      val serverIp = fqdnLocIpRow.getAs[String]("common_server_ip")
-      val firstFoundTime = fqdnLocIpRow.getAs[Long]("FIRST_FOUND_TIME")
-      val lastFoundTime = fqdnLocIpRow.getAs[Long]("LAST_FOUND_TIME")
-      val countTotalList = fqdnLocIpRow.getAs[ofRef[AnyRef]]("COUNT_TOTAL_LIST")
-      val schemaTypeList = fqdnLocIpRow.getAs[ofRef[AnyRef]]("schema_type_list")
-      val distCipRecent = fqdnLocIpRow.getAs[ofRef[String]]("DIST_CIP_RECENT")
 
     val sepAttritubeMap: Map[String, Long] = separateAttributeByProtocol(schemaTypeList, countTotalList)
-      val distinctIp: Array[String] = mergeDistinctIp(distCipRecent)
 
     val key = fqdn.concat("-" + serverIp)
-
+    var document = dictionaryMap.getOrDefault(key, null)
-      if (fqdnLocIpDoc != null) {
+    if (document != null) {
-        updateMaxAttribute(fqdnLocIpDoc, lastFoundTime, "LAST_FOUND_TIME")
+      updateMaxAttribute(document, lastFoundTime, "LAST_FOUND_TIME")
-        updateProtocolAttritube(fqdnLocIpDoc, sepAttritubeMap)
+      updateProtocolAttritube(document, sepAttritubeMap)
-        updateDistinctIp(fqdnLocIpDoc, distinctIp)
+      updateDistinctIp(document,disCips)
     } else {
-        fqdnLocIpDoc = new BaseEdgeDocument()
+      document = new BaseEdgeDocument()
-        fqdnLocIpDoc.setKey(key)
+      document.setKey(key)
-        fqdnLocIpDoc.setFrom("FQDN/" + fqdn)
+      document.setFrom("FQDN/" + fqdn)
-        fqdnLocIpDoc.setTo("IP/" + serverIp)
+      document.setTo("IP/" + serverIp)
-        fqdnLocIpDoc.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
+      document.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
-        fqdnLocIpDoc.addAttribute("LAST_FOUND_TIME", lastFoundTime)
+      document.addAttribute("LAST_FOUND_TIME", lastFoundTime)
-        putProtocolAttritube(fqdnLocIpDoc, sepAttritubeMap)
+      putDistinctIp(document,disCips)
-        putDistinctIp(fqdnLocIpDoc, distinctIp)
+      putProtocolAttritube(document, sepAttritubeMap)
     }
-    }
+    document
-
-    fqdnLocIpDoc
   }
 
 }

ip-learning-spark/src/main/scala/cn/ac/iie/spark/ArangoSpark.scala

@@ -1,136 +0,0 @@
-/*
- * DISCLAIMER
- *
- * Copyright 2016 ArangoDB GmbH, Cologne, Germany
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- *
- * Copyright holder is ArangoDB GmbH, Cologne, Germany
- *
- * author Mark - mark at arangodb.com
- */
-
-package cn.ac.iie.spark
-
-import cn.ac.iie.spark.rdd.{ArangoRdd, ReadOptions, WriteOptions}
-import cn.ac.iie.spark.vpack.VPackUtils
-import com.arangodb.model.DocumentCreateOptions
-import org.apache.spark.SparkContext
-import org.apache.spark.rdd.RDD
-import org.apache.spark.sql.{DataFrame, Dataset, Row}
-
-import scala.collection.JavaConverters.seqAsJavaListConverter
-import scala.reflect.ClassTag
-
-object ArangoSpark {
-
-  /**
-   * Save data from rdd into ArangoDB
-   *
-   * @param rdd the rdd with the data to save
-   * @param collection the collection to save in
-   */
-  def save[T](rdd: RDD[T], collection: String): Unit =
-    save(rdd, collection, WriteOptions())
-
-  /**
-   * Save data from rdd into ArangoDB
-   *
-   * @param rdd the rdd with the data to save
-   * @param collection the collection to save in
-   * @param options additional write options
-   */
-  def save[T](rdd: RDD[T], collection: String, options: WriteOptions): Unit =
-    saveRDD(rdd, collection, options, (x: Iterator[T]) => x)
-
-  /**
-   * Save data from dataset into ArangoDB
-   *
-   * @param dataset the dataset with data to save
-   * @param collection the collection to save in
-   */
-  def save[T](dataset: Dataset[T], collection: String): Unit =
-    saveRDD(dataset.rdd, collection, WriteOptions(), (x: Iterator[T]) => x)
-
-  /**
-   * Save data from dataset into ArangoDB
-   *
-   * @param dataset the dataset with data to save
-   * @param collection the collection to save in
-   * @param options additional write options
-   */
-  def save[T](dataset: Dataset[T], collection: String, options: WriteOptions): Unit =
-    saveRDD(dataset.rdd, collection, options, (x: Iterator[T]) => x)
-
-  /**
-   * Save data from dataframe into ArangoDB
-   *
-   * @param dataframe the dataframe with data to save
-   * @param collection the collection to save in
-   */
-  def saveDF(dataframe: DataFrame, collection: String): Unit =
-    saveRDD[Row](dataframe.rdd, collection, WriteOptions(), (x: Iterator[Row]) => x.map { y => VPackUtils.rowToVPack(y) })
-
-  /**
-   * Save data from dataframe into ArangoDB
-   *
-   * @param dataframe the dataframe with data to save
-   * @param collection the collection to save in
-   * @param options additional write options
-   */
-  def saveDF(dataframe: DataFrame, collection: String, options: WriteOptions): Unit =
-    saveRDD[Row](dataframe.rdd, collection, options, (x: Iterator[Row]) => x.map { y => VPackUtils.rowToVPack(y) })
-
-  private def saveRDD[T](rdd: RDD[T], collection: String, options: WriteOptions, map: Iterator[T] => Iterator[Any]): Unit = {
-    val writeOptions = createWriteOptions(options, rdd.sparkContext.getConf)
-    rdd.foreachPartition { p =>
-      if (p.nonEmpty) {
-        val arangoDB = createArangoBuilder(writeOptions).build()
-        val col = arangoDB.db(writeOptions.database).collection(collection)
-        val docs = map(p).toList.asJava
-        writeOptions.method match {
-          case WriteOptions.INSERT  => col.insertDocuments(docs)
-          case WriteOptions.UPDATE  => col.updateDocuments(docs)
-          case WriteOptions.REPLACE => col.replaceDocuments(docs)
-          case WriteOptions.OVERWRITE =>
-            val documentCreateOptions = new DocumentCreateOptions
-            documentCreateOptions.overwrite(true)
-            documentCreateOptions.silent(true)
-            col.insertDocuments(docs, documentCreateOptions)
-        }
-
-        arangoDB.shutdown()
-      }
-    }
-  }
-
-  /**
-   * Load data from ArangoDB into rdd
-   *
-   * @param sparkContext the sparkContext containing the ArangoDB configuration
-   * @param collection the collection to load data from
-   */
-  def load[T: ClassTag](sparkContext: SparkContext, collection: String): ArangoRdd[T] =
-    load(sparkContext, collection, ReadOptions())
-
-  /**
-   * Load data from ArangoDB into rdd
-   *
-   * @param sparkContext the sparkContext containing the ArangoDB configuration
-   * @param collection the collection to load data from
-   * @param options read options
-   */
-  def load[T: ClassTag](sparkContext: SparkContext, collection: String, options: ReadOptions): ArangoRdd[T] =
-    new ArangoRdd[T](sparkContext, createReadOptions(options, sparkContext.getConf).copy(collection = collection))
-
-}

ip-learning-spark/src/main/scala/cn/ac/iie/spark/partition/QueryArangoPartition.scala

@@ -1,7 +0,0 @@
-package cn.ac.iie.spark.partition
-
-import org.apache.spark.Partition
-
-class QueryArangoPartition(idx: Int, val offset: Long, val separate: Long) extends Partition{
-  override def index: Int = idx
-}

ip-learning-spark/src/main/scala/cn/ac/iie/spark/rdd/ArangoOptions.scala

@@ -1,34 +0,0 @@
-package cn.ac.iie.spark.rdd
-
-import com.arangodb.Protocol
-import com.arangodb.entity.LoadBalancingStrategy
-
-trait ArangoOptions {
-
-  def database: String = "_system"
-
-  def hosts: Option[String] = None
-
-  def user: Option[String] = None
-
-  def password: Option[String] = None
-
-  def useSsl: Option[Boolean] = None
-
-  def sslKeyStoreFile: Option[String] = None
-
-  def sslPassPhrase: Option[String] = None
-
-  def sslProtocol: Option[String] = None
-
-  def protocol: Option[Protocol] = None
-  
-  def maxConnections: Option[Int] = None
-  
-  def acquireHostList: Option[Boolean] = None
-  
-  def acquireHostListInterval: Option[Int] = None
-  
-  def loadBalancingStrategy: Option[LoadBalancingStrategy] = None
-  
-}

ip-learning-spark/src/main/scala/cn/ac/iie/spark/rdd/ArangoRdd.scala

@@ -1,90 +0,0 @@
-package cn.ac.iie.spark.rdd
-
-import java.util
-
-import scala.collection.JavaConverters.asScalaIteratorConverter
-import cn.ac.iie.config.ApplicationConfig
-import cn.ac.iie.service.update.UpdateDocument
-import cn.ac.iie.spark
-import cn.ac.iie.spark.partition.QueryArangoPartition
-import com.arangodb.ArangoCursor
-import com.arangodb.model.AqlQueryOptions
-import com.arangodb.util.MapBuilder
-import org.apache.spark.{Partition, SparkContext, TaskContext}
-import org.apache.spark.rdd.RDD
-import org.slf4j.LoggerFactory
-
-import scala.collection.mutable.ArrayBuffer
-import scala.reflect.ClassTag
-
-class ArangoRdd[T: ClassTag](@transient override val sparkContext: SparkContext,
-                             val options: ReadOptions
-                            ) extends RDD[T](sparkContext, Nil) {
-
-  private val LOG = LoggerFactory.getLogger(UpdateDocument.getClass)
-
-  override def compute(split: Partition, context: TaskContext): Iterator[T] = {
-
-    createCursor(split.asInstanceOf[QueryArangoPartition]).asScala
-  }
-
-  override protected def getPartitions: Array[Partition] = {
-    val partitions = ArrayBuffer[Partition]()
-    val total = getCountTotal
-    for (i <- 0 until ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS) {
-      val partition = getPartition(i, total)
-      partitions += partition
-    }
-    partitions.toArray
-  }
-
-  private def createCursor(split: QueryArangoPartition)(implicit clazz: ClassTag[T]): ArangoCursor[T] = {
-
-    var arangoCursor:ArangoCursor[T] = null
-    val arangoDB = spark.createArangoBuilder(options).build()
-    val bindVars: util.Map[String, AnyRef] = new MapBuilder().get
-    val queryOptions: AqlQueryOptions = new AqlQueryOptions().ttl(ApplicationConfig.ARANGODB_TTL)
-    try {
-      val offset = split.offset
-      val separate = split.separate
-      val collection = options.collection
-      val sql = s"FOR doc IN $collection limit $offset,$separate RETURN doc"
-      LOG.info(sql)
-      arangoCursor = arangoDB.db(options.database).query(sql,bindVars,queryOptions,clazz.runtimeClass.asInstanceOf[Class[T]])
-    }catch {
-      case e: Exception => LOG.error(s"创建Cursor异常:${e.getMessage}")
-    }finally {
-      arangoDB.shutdown()
-    }
-    arangoCursor
-  }
-
-  override def repartition(numPartitions: Int)(implicit ord: Ordering[T]): RDD[T] = super.repartition(numPartitions)
-
-  private def getPartition(idx: Int, countTotal: Long): QueryArangoPartition = {
-    val sepNum = countTotal / ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS + 1
-    val offsetNum = idx * sepNum
-    new QueryArangoPartition(idx, offsetNum, sepNum)
-  }
-
-  override def count(): Long = getCountTotal
-
-  private def getCountTotal: Long = {
-    val arangoDB = spark.createArangoBuilder(options).build()
-    var cnt = 0L
-    val sql = s"RETURN LENGTH(${options.collection})"
-    LOG.info(sql)
-    try {
-      val longs = arangoDB.db(options.database).query(sql, classOf[Long])
-      while (longs.hasNext) cnt = longs.next
-      if (cnt > ApplicationConfig.ARANGODB_TOTAL_NUM){
-        cnt = ApplicationConfig.ARANGODB_TOTAL_NUM
-      }
-    } catch {
-      case e: Exception => LOG.error(sql + s"执行异常:${e.getMessage}")
-    }finally {
-      arangoDB.shutdown()
-    }
-    cnt
-  }
-}

ip-learning-spark/src/main/scala/cn/ac/iie/spark/rdd/ReadOptions.scala

@@ -1,93 +0,0 @@
-/*
- * DISCLAIMER
- *
- * Copyright 2016 ArangoDB GmbH, Cologne, Germany
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- *
- * Copyright holder is ArangoDB GmbH, Cologne, Germany
- *
- * author Mark - mark at arangodb.com
- */
-
-package cn.ac.iie.spark.rdd
-
-import cn.ac.iie.spark.partition.QueryArangoPartition
-import com.arangodb.Protocol
-import com.arangodb.entity.LoadBalancingStrategy
-
-case class ReadOptions(override val database: String = "_system",
-                       val collection: String = null,
-                       partitioner: QueryArangoPartition = new QueryArangoPartition(0,0,0),
-                       override val hosts: Option[String] = None,
-                       override val user: Option[String] = None,
-                       override val password: Option[String] = None,
-                       override val useSsl: Option[Boolean] = None,
-                       override val sslKeyStoreFile: Option[String] = None,
-                       override val sslPassPhrase: Option[String] = None,
-                       override val sslProtocol: Option[String] = None,
-                       override val protocol: Option[Protocol] = None,
-                       override val maxConnections: Option[Int] = None,
-                       override val acquireHostList: Option[Boolean] = None,
-                       override val acquireHostListInterval: Option[Int] = None,
-                       override val loadBalancingStrategy: Option[LoadBalancingStrategy] = None) extends ArangoOptions {
-
-  def this() = this(database = "_system")
-
-  def database(database: String): ReadOptions = copy(database = database)
-
-  def collection(collection: String): ReadOptions = copy(collection = collection)
-
-  def hosts(hosts: String): ReadOptions = copy(hosts = Some(hosts))
-
-  def user(user: String): ReadOptions = copy(user = Some(user))
-
-  def password(password: String): ReadOptions = copy(password = Some(password))
-
-  def useSsl(useSsl: Boolean): ReadOptions = copy(useSsl = Some(useSsl))
-
-  def sslKeyStoreFile(sslKeyStoreFile: String): ReadOptions = copy(sslKeyStoreFile = Some(sslKeyStoreFile))
-
-  def sslPassPhrase(sslPassPhrase: String): ReadOptions = copy(sslPassPhrase = Some(sslPassPhrase))
-
-  def sslProtocol(sslProtocol: String): ReadOptions = copy(sslProtocol = Some(sslProtocol))
-
-  def protocol(protocol: Protocol): ReadOptions = copy(protocol = Some(protocol))
-  
-  def maxConnections(maxConnections: Int): ReadOptions = copy(maxConnections = Some(maxConnections))
-  
-  def acquireHostList(acquireHostList: Boolean): ReadOptions = copy(acquireHostList = Some(acquireHostList))
-  
-  def acquireHostListInterval(acquireHostListInterval: Int): ReadOptions = copy(acquireHostListInterval = Some(acquireHostListInterval))
-  
-  def loadBalancingStrategy(loadBalancingStrategy: LoadBalancingStrategy): ReadOptions = copy(loadBalancingStrategy = Some(loadBalancingStrategy))
-
-  def copy(database: String = database,
-           collection: String = collection,
-           partitioner: QueryArangoPartition = partitioner,
-           hosts: Option[String] = hosts,
-           user: Option[String] = user,
-           password: Option[String] = password,
-           useSsl: Option[Boolean] = useSsl,
-           sslKeyStoreFile: Option[String] = sslKeyStoreFile,
-           sslPassPhrase: Option[String] = sslPassPhrase,
-           sslProtocol: Option[String] = sslProtocol,
-           protocol: Option[Protocol] = protocol,
-           maxConnections: Option[Int] = maxConnections,
-           acquireHostList: Option[Boolean] = acquireHostList,
-           acquireHostListInterval: Option[Int] = acquireHostListInterval,
-           loadBalancingStrategy: Option[LoadBalancingStrategy] = loadBalancingStrategy): ReadOptions = {
-    ReadOptions(database, collection, partitioner, hosts, user, password, useSsl, sslKeyStoreFile, sslPassPhrase, sslProtocol, protocol, maxConnections, acquireHostList, acquireHostListInterval, loadBalancingStrategy)
-  }
-
-}

ip-learning-spark/src/main/scala/cn/ac/iie/spark/rdd/WriteOptions.scala

@@ -1,124 +0,0 @@
-/*
- * DISCLAIMER
- *
- * Copyright 2016 ArangoDB GmbH, Cologne, Germany
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- *
- * Copyright holder is ArangoDB GmbH, Cologne, Germany
- *
- * author Mark - mark at arangodb.com
- */
-
-package cn.ac.iie.spark.rdd
-
-import javax.net.ssl.SSLContext
-import com.arangodb.Protocol
-import com.arangodb.entity.LoadBalancingStrategy
-
-case class WriteOptions(override val database: String = "_system",
-                        val method: WriteOptions.Method = WriteOptions.INSERT,
-                        override val hosts: Option[String] = None,
-                        override val user: Option[String] = None,
-                        override val password: Option[String] = None,
-                        override val useSsl: Option[Boolean] = None,
-                        override val sslKeyStoreFile: Option[String] = None,
-                        override val sslPassPhrase: Option[String] = None,
-                        override val sslProtocol: Option[String] = None,
-                        override val protocol: Option[Protocol] = None,
-                        override val maxConnections: Option[Int] = None,
-                        override val acquireHostList: Option[Boolean] = None,
-                        override val acquireHostListInterval: Option[Int] = None,
-                        override val loadBalancingStrategy: Option[LoadBalancingStrategy] = None) extends ArangoOptions {
-  import WriteOptions._
-
-  def this() = this(database = "_system")
-
-  def database(database: String): WriteOptions = copy(database = database)
-
-  def method(method: Method): WriteOptions = copy(method = method)
-
-  def hosts(hosts: String): WriteOptions = copy(hosts = Some(hosts))
-
-  def user(user: String): WriteOptions = copy(user = Some(user))
-
-  def password(password: String): WriteOptions = copy(password = Some(password))
-
-  def useSsl(useSsl: Boolean): WriteOptions = copy(useSsl = Some(useSsl))
-
-  def sslKeyStoreFile(sslKeyStoreFile: String): WriteOptions = copy(sslKeyStoreFile = Some(sslKeyStoreFile))
-
-  def sslPassPhrase(sslPassPhrase: String): WriteOptions = copy(sslPassPhrase = Some(sslPassPhrase))
-
-  def sslProtocol(sslProtocol: String): WriteOptions = copy(sslProtocol = Some(sslProtocol))
-
-  def protocol(protocol: Protocol): WriteOptions = copy(protocol = Some(protocol))
-
-  def maxConnections(maxConnections: Int): WriteOptions = copy(maxConnections = Some(maxConnections))
-
-  def acquireHostList(acquireHostList: Boolean): WriteOptions = copy(acquireHostList = Some(acquireHostList))
-
-  def acquireHostListInterval(acquireHostListInterval: Int): WriteOptions = copy(acquireHostListInterval = Some(acquireHostListInterval))
-
-  def loadBalancingStrategy(loadBalancingStrategy: LoadBalancingStrategy): WriteOptions = copy(loadBalancingStrategy = Some(loadBalancingStrategy))
-
-  def copy(database: String = database,
-           method: Method = method,
-           hosts: Option[String] = hosts,
-           user: Option[String] = user,
-           password: Option[String] = password,
-           useSsl: Option[Boolean] = useSsl,
-           sslKeyStoreFile: Option[String] = sslKeyStoreFile,
-           sslPassPhrase: Option[String] = sslPassPhrase,
-           sslProtocol: Option[String] = sslProtocol,
-           protocol: Option[Protocol] = protocol,
-           maxConnections: Option[Int] = maxConnections,
-           acquireHostList: Option[Boolean] = acquireHostList,
-           acquireHostListInterval: Option[Int] = acquireHostListInterval,
-           loadBalancingStrategy: Option[LoadBalancingStrategy] = loadBalancingStrategy): WriteOptions = {
-    WriteOptions(database, method, hosts, user, password, useSsl, sslKeyStoreFile, sslPassPhrase, sslProtocol, protocol, maxConnections, acquireHostList, acquireHostListInterval, loadBalancingStrategy)
-  }
-
-}
-
-object WriteOptions {
-
-  /**
-    * method to save documents to arangodb
-    */
-  sealed trait Method
-
-  /**
-    * save documents by inserting
-    * @see [[com.arangodb.ArangoCollection#insertDocuments(java.util.Collection)]]
-    */
-  case object INSERT extends Method
-
-  /**
-    * save documents by updating
-    * @see [[com.arangodb.ArangoCollection#updateDocuments(java.util.Collection)]]
-    */
-  case object UPDATE extends Method
-
-  /**
-    * save documents by replacing
-    * @see [[com.arangodb.ArangoCollection#replaceDocuments(java.util.Collection)]]
-    */
-  case object REPLACE extends Method
-
-  /**
-    * save documents by overwrite
-    */
-  case object OVERWRITE extends Method
-
-}

ip-learning-spark/src/main/scala/cn/ac/iie/spark/spark.scala

@@ -1,139 +0,0 @@
-/*
- * DISCLAIMER
- *
- * Copyright 2016 ArangoDB GmbH, Cologne, Germany
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- *
- * Copyright holder is ArangoDB GmbH, Cologne, Germany
- *
- * author Mark - mark at arangodb.com
- */
-
-package cn.ac.iie
-
-import java.io.FileInputStream
-import java.security.KeyStore
-
-import cn.ac.iie.spark.rdd.{ArangoOptions, ReadOptions, WriteOptions}
-import com.arangodb.{ArangoDB, ArangoDBException, Protocol}
-import com.arangodb.entity.LoadBalancingStrategy
-import com.arangodb.velocypack.module.jdk8.VPackJdk8Module
-import com.arangodb.velocypack.module.scala.VPackScalaModule
-import javax.net.ssl.{KeyManagerFactory, SSLContext, TrustManagerFactory}
-import org.apache.spark.SparkConf
-
-import scala.util.Try
-
-package object spark {
-
-  val PropertyHosts = "arangodb.hosts"
-  val PropertyUser = "arangodb.user"
-  val PropertyPassword = "arangodb.password"
-  val PropertyUseSsl = "arangodb.useSsl"
-  val PropertySslKeyStoreFile = "arangodb.ssl.keyStoreFile"
-  val PropertySslPassPhrase = "arangodb.ssl.passPhrase"
-  val PropertySslProtocol = "arangodb.ssl.protocol"
-  val PropertyProtocol = "arangodb.protocol"
-  val PropertyMaxConnections = "arangodb.maxConnections"
-  val PropertyAcquireHostList = "arangodb.acquireHostList"
-  val PropertyAcquireHostListInterval = "arangodb.acquireHostListInterval"
-  val PropertyLoadBalancingStrategy = "arangodb.loadBalancingStrategy"
-
-  private[spark] def createReadOptions(options: ReadOptions, sc: SparkConf): ReadOptions = {
-    options.copy(
-      hosts = options.hosts.orElse(some(sc.get(PropertyHosts, null))),
-      user = options.user.orElse(some(sc.get(PropertyUser, null))),
-      password = options.password.orElse(some(sc.get(PropertyPassword, null))),
-      useSsl = options.useSsl.orElse(some(Try(sc.get(PropertyUseSsl, null).toBoolean).getOrElse(false))),
-      sslKeyStoreFile = options.sslKeyStoreFile.orElse(some(sc.get(PropertySslKeyStoreFile, null))),
-      sslPassPhrase = options.sslPassPhrase.orElse(some(sc.get(PropertySslPassPhrase, null))),
-      sslProtocol = options.sslProtocol.orElse(some(sc.get(PropertySslProtocol, null))),
-      protocol = options.protocol.orElse(some(Protocol.valueOf(sc.get(PropertyProtocol, "VST")))),
-      maxConnections = options.maxConnections.orElse(some(Try(sc.get(PropertyMaxConnections, null).toInt).getOrElse(1))),
-      acquireHostList = options.acquireHostList.orElse(some(Try(sc.get(PropertyAcquireHostList, null).toBoolean).getOrElse(false))),
-      acquireHostListInterval = options.acquireHostListInterval.orElse(some(Try(sc.get(PropertyAcquireHostListInterval, null).toInt).getOrElse(60000))),
-      loadBalancingStrategy = options.loadBalancingStrategy.orElse(some(LoadBalancingStrategy.valueOf(sc.get(PropertyLoadBalancingStrategy, "NONE")))))
-  }
-
-  private[spark] def createWriteOptions(options: WriteOptions, sc: SparkConf): WriteOptions = {
-    options.copy(
-      hosts = options.hosts.orElse(some(sc.get(PropertyHosts, null))),
-      user = options.user.orElse(some(sc.get(PropertyUser, null))),
-      password = options.password.orElse(some(sc.get(PropertyPassword, null))),
-      useSsl = options.useSsl.orElse(some(Try(sc.get(PropertyUseSsl, null).toBoolean).getOrElse(false))),
-      sslKeyStoreFile = options.sslKeyStoreFile.orElse(some(sc.get(PropertySslKeyStoreFile, null))),
-      sslPassPhrase = options.sslPassPhrase.orElse(some(sc.get(PropertySslPassPhrase, null))),
-      sslProtocol = options.sslProtocol.orElse(some(sc.get(PropertySslProtocol, null))),
-      protocol = options.protocol.orElse(some(Protocol.valueOf(sc.get(PropertyProtocol, "VST")))),
-      maxConnections = options.maxConnections.orElse(some(Try(sc.get(PropertyMaxConnections, null).toInt).getOrElse(1))),
-      acquireHostList = options.acquireHostList.orElse(some(Try(sc.get(PropertyAcquireHostList, null).toBoolean).getOrElse(false))),
-      acquireHostListInterval = options.acquireHostListInterval.orElse(some(Try(sc.get(PropertyAcquireHostListInterval, null).toInt).getOrElse(60000))),
-      loadBalancingStrategy = options.loadBalancingStrategy.orElse(some(LoadBalancingStrategy.valueOf(sc.get(PropertyLoadBalancingStrategy, "NONE")))))
-  }
-
-  private[spark] def createArangoBuilder(options: ArangoOptions): ArangoDB.Builder = {
-    val builder = new ArangoDB.Builder()
-    builder.registerModules(new VPackJdk8Module, new VPackScalaModule)
-    options.hosts.foreach { hosts(_).foreach(host => builder.host(host._1, host._2)) }
-    options.user.foreach { builder.user(_) }
-    options.password.foreach { builder.password(_) }
-    options.useSsl.foreach { builder.useSsl(_) }
-    if (options.sslKeyStoreFile.isDefined && options.sslPassPhrase.isDefined) {
-      builder.sslContext(createSslContext(options.sslKeyStoreFile.get, options.sslPassPhrase.get, options.sslProtocol.getOrElse("TLS")))
-    }
-    options.protocol.foreach { builder.useProtocol(_) }
-    options.maxConnections.foreach { builder.maxConnections(_) }
-    options.acquireHostList.foreach { builder.acquireHostList(_) }
-    options.acquireHostListInterval.foreach { builder.acquireHostListInterval(_) }
-    options.loadBalancingStrategy.foreach { builder.loadBalancingStrategy(_) }
-    builder
-  }
-
-  private def createSslContext(keyStoreFile: String, passPhrase: String, protocol: String): SSLContext = {
-    val ks = KeyStore.getInstance(KeyStore.getDefaultType());
-    val kmf = KeyManagerFactory.getInstance(KeyManagerFactory.getDefaultAlgorithm());
-    ks.load(new FileInputStream(keyStoreFile), passPhrase.toCharArray());
-    kmf.init(ks, passPhrase.toCharArray());
-    val tmf = TrustManagerFactory.getInstance(TrustManagerFactory.getDefaultAlgorithm());
-    tmf.init(ks);
-    val sc = SSLContext.getInstance(protocol);
-    sc.init(kmf.getKeyManagers(), tmf.getTrustManagers(), null);
-    sc
-  }
-
-  private def some(value: String): Option[String] =
-    if (value != null) Some(value) else None
-
-  private def some(value: Int): Option[Int] =
-    Some(value)
-    
-  private def some(value: Boolean): Option[Boolean] =
-    Some(value)
-
-  private def some(value: Protocol): Option[Protocol] =
-    Some(value)
-    
-  private def some(value: LoadBalancingStrategy): Option[LoadBalancingStrategy] =
-    Some(value)
-
-  private def hosts(hosts: String): List[(String, Int)] =
-    hosts.split(",").map({ x =>
-      val s = x.split(":")
-      if (s.length != 2 || !s(1).matches("[0-9]+"))
-        throw new ArangoDBException(s"Could not load property-value arangodb.hosts=${s}. Expected format ip:port,ip:port,...");
-      else
-        (s(0), s(1).toInt)
-    }).toList
-
-}

ip-learning-spark/src/main/scala/cn/ac/iie/spark/vpack/VPackUtils.scala

@@ -1,160 +0,0 @@
-/*
- * DISCLAIMER
- *
- * Copyright 2016 ArangoDB GmbH, Cologne, Germany
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- *
- * Copyright holder is ArangoDB GmbH, Cologne, Germany
- *
- * author Mark - mark at arangodb.com
- */
-
-package cn.ac.iie.spark.vpack
-
-import org.apache.spark.sql.Row
-import org.apache.spark.sql.types.{
-  ArrayType,
-  BooleanType,
-  DataType,
-  DateType,
-  DecimalType,
-  DoubleType,
-  FloatType,
-  IntegerType,
-  LongType,
-  MapType,
-  NullType,
-  ShortType,
-  StringType,
-  StructField,
-  StructType,
-  TimestampType
-}
-import com.arangodb.velocypack.VPackBuilder
-import com.arangodb.velocypack.VPackSlice
-import com.arangodb.velocypack.ValueType
-
-private[spark] object VPackUtils {
-
-  def rowToVPack(row: Row): VPackSlice = {
-    val builder = new VPackBuilder()
-    if (row == null) {
-      builder.add(ValueType.NULL)
-    } else {
-      builder.add(ValueType.OBJECT)
-      row.schema.fields.zipWithIndex.foreach { addField(_, row, builder) }
-      builder.close()
-    }
-    builder.slice()
-  }
-
-  private def addField(field: (StructField, Int), row: Row, builder: VPackBuilder): Unit = {
-    val name = field._1.name
-    val index = field._2
-    if (row.isNullAt(index)) {
-      builder.add(name, ValueType.NULL)
-    } else {
-      field._1.dataType match {
-        case BooleanType    => builder.add(name, java.lang.Boolean.valueOf(row.getBoolean(index)))
-        case DoubleType     => builder.add(name, java.lang.Double.valueOf(row.getDouble(index)))
-        case FloatType      => builder.add(name, java.lang.Float.valueOf(row.getFloat(index)))
-        case LongType       => builder.add(name, java.lang.Long.valueOf(row.getLong(index)))
-        case IntegerType    => builder.add(name, java.lang.Integer.valueOf(row.getInt(index)))
-        case ShortType      => builder.add(name, java.lang.Short.valueOf(row.getShort(index)))
-        case StringType     => builder.add(name, java.lang.String.valueOf(row.getString(index)));
-        case DateType       => builder.add(name, row.getDate(index))
-        case TimestampType  => builder.add(name, row.getTimestamp(index))
-        case t: DecimalType => builder.add(name, row.getDecimal(index))
-        case t: MapType => {
-          builder.add(name, ValueType.OBJECT)
-          row.getMap[String, Any](index).foreach { case (name, value) => addValue(name, value, builder) }
-          builder.close()
-        }
-        case t: ArrayType => {
-          builder.add(name, ValueType.ARRAY)
-          addValues(row, index, builder, t.elementType)
-          builder.close()
-        }
-        case NullType           => builder.add(name, ValueType.NULL)
-        case struct: StructType => builder.add(name, rowToVPack(row.getStruct(index)))
-        case _                  => // TODO
-      }
-    }
-  }
-
-  private def addValues(row: Row, index: Int, builder: VPackBuilder, itemType: DataType): Unit = {
-    itemType match {
-      case BooleanType =>
-        row.getSeq[Boolean](index).foreach { value =>
-          addValue(null, value, builder)
-        }
-      case DoubleType =>
-        row.getSeq[Double](index).foreach { value =>
-          addValue(null, value, builder)
-        }
-      case FloatType =>
-        row.getSeq[Float](index).foreach { value =>
-          addValue(null, value, builder)
-        }
-      case LongType =>
-        row.getSeq[Long](index).foreach { value =>
-          addValue(null, value, builder)
-        }
-      case IntegerType =>
-        row.getSeq[Int](index).foreach { value =>
-          addValue(null, value, builder)
-        }
-      case ShortType =>
-        row.getSeq[Short](index).foreach { value =>
-          addValue(null, value, builder)
-        }
-      case StringType =>
-        row.getSeq[String](index).foreach { value =>
-          addValue(null, value, builder)
-        }
-      case DateType =>
-        row.getSeq[java.sql.Date](index).foreach { value =>
-          addValue(null, value, builder)
-        }
-      case TimestampType =>
-        row.getSeq[java.sql.Timestamp](index).foreach { value =>
-          addValue(null, value, builder)
-        }
-      case s: StructType => {
-        row.getSeq[Row](index).foreach { value =>
-          builder.add(null, rowToVPack(value))
-        }
-      }
-      case t: MapType   => // TODO
-      case t: ArrayType => // TODO
-      case _            => // TODO
-    }
-  }
-
-  private def addValue(name: String, value: Any, builder: VPackBuilder): Unit = {
-    value match {
-      case value: Boolean            => builder.add(name, java.lang.Boolean.valueOf(value))
-      case value: Double             => builder.add(name, java.lang.Double.valueOf(value))
-      case value: Float              => builder.add(name, java.lang.Float.valueOf(value))
-      case value: Long               => builder.add(name, java.lang.Long.valueOf(value))
-      case value: Int                => builder.add(name, java.lang.Integer.valueOf(value))
-      case value: Short              => builder.add(name, java.lang.Short.valueOf(value))
-      case value: String             => builder.add(name, java.lang.String.valueOf(value))
-      case value: java.sql.Date      => builder.add(name, value)
-      case value: java.sql.Timestamp => builder.add(name, value)
-      case _                         => // TODO
-    }
-  }
-
-}

ip-learning-spark/src/main/scala/cn/ac/iie/utils/SparkSessionUtil.scala

@@ -1,9 +1,7 @@
 package cn.ac.iie.utils
 
 import cn.ac.iie.config.ApplicationConfig
-import org.apache.spark.SparkContext
 import org.apache.spark.sql.SparkSession
-import org.apache.spark.util.LongAccumulator
 import org.slf4j.LoggerFactory
 
 object SparkSessionUtil {
@@ -11,8 +9,6 @@ object SparkSessionUtil {
 
   val spark: SparkSession = getSparkSession
 
-  var sparkContext: SparkContext = getContext
-
   private def getSparkSession: SparkSession ={
     val spark: SparkSession = SparkSession
       .builder()
@@ -21,36 +17,16 @@ object SparkSessionUtil {
       .config("spark.network.timeout", ApplicationConfig.SPARK_NETWORK_TIMEOUT)
       .config("spark.sql.shuffle.partitions", ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)
       .config("spark.executor.memory", ApplicationConfig.SPARK_EXECUTOR_MEMORY)
-      .config("arangodb.hosts", s"${ApplicationConfig.ARANGODB_HOST}:${ApplicationConfig.ARANGODB_PORT}")
-      .config("arangodb.user", ApplicationConfig.ARANGODB_USER)
-      .config("arangodb.password", ApplicationConfig.ARANGODB_PASSWORD)
       .master(ApplicationConfig.MASTER)
       .getOrCreate()
     LOG.warn("sparkession获取成功！！！")
     spark
   }
 
-  private def getContext: SparkContext = {
-    @transient var sc: SparkContext = null
-      if (sparkContext == null) sc = spark.sparkContext
-    sc
-  }
-
-  def getLongAccumulator(name: String): LongAccumulator ={
-    if (sparkContext == null){
-      sparkContext = getContext
-    }
-    sparkContext.longAccumulator(name)
-
-  }
-
   def closeSpark(): Unit ={
     if (spark != null){
       spark.stop()
     }
-    if (sparkContext != null){
-      sparkContext.stop()
-    }
   }
 
 }

ip-learning-spark/src/test/scala/cn/ac/iie/dao/BaseClickhouseDataTest.scala

@@ -7,7 +7,7 @@ import org.apache.spark.sql.SparkSession
 object BaseClickhouseDataTest {
   private val spark: SparkSession = SparkSessionUtil.spark
   def main(args: Array[String]): Unit = {
-//    BaseClickhouseData loadConnectionDataFromCk()
+    BaseClickhouseData loadConnectionDataFromCk()
     val sql =
       """
         |SELECT

ip-learning-spark/src/test/scala/cn/ac/iie/spark/RDDTest.scala

@@ -1,75 +0,0 @@
-package cn.ac.iie.spark
-
-import cn.ac.iie.config.ApplicationConfig
-import cn.ac.iie.dao.BaseClickhouseData
-import cn.ac.iie.spark.partition.CustomPartitioner
-import cn.ac.iie.spark.rdd.{ArangoRdd, ReadOptions}
-import cn.ac.iie.utils.SparkSessionUtil
-import com.arangodb.entity.BaseDocument
-import org.apache.spark.rdd.RDD
-import org.apache.spark.sql.Row
-import org.apache.spark.sql.functions.{collect_list, max, min}
-import org.apache.spark.storage.StorageLevel
-
-object RDDTest {
-  def main(args: Array[String]): Unit = {
-
-    val sparkContext = SparkSessionUtil.spark.sparkContext
-
-    println(sparkContext.getConf.get("arangodb.hosts"))
-
-    //    val options = ReadOptions("iplearn_media_domain").copy(collection = "R_LOCATE_FQDN2IP")
-    val options = ReadOptions(ApplicationConfig.ARANGODB_DB_NAME)
-
-    val ipOptions = options.copy(collection = "IP")
-
-    val rdd: ArangoRdd[BaseDocument] = ArangoSpark.load[BaseDocument](sparkContext,"IP",options)
-
-    println(rdd.count())
-    println(rdd.getNumPartitions)
-
-    val ipRDD = mergeVertexIp()
-    val value: RDD[(String, (Option[BaseDocument], Option[Row]))] = rdd.map(doc => {
-      (doc.getKey, doc)
-    }).fullOuterJoin(ipRDD)
-    value.foreach((row: (String, (Option[BaseDocument], Option[Row]))) => {
-      val value = row._2._2
-      val str: String = value match {
-        case Some(r) => r.getAs[String]("IP")
-//        case None => null
-        case _ => null
-      }
-      println(str)
-    })
-
-    /*
-    val value: RDD[BaseDocument] = rdd.filter(doc => doc.getAttribute("CLIENT_SESSION_COUNT").asInstanceOf[Long] > 100).map(doc => {
-      doc.addAttribute("abc", 1)
-      doc
-    })
-    value.map(doc => {(doc.getKey,doc)})
-    value.persist(StorageLevel.MEMORY_AND_DISK)
-    value.foreach(fqdnRow => println(fqdnRow.toString))
-    println(value.count())
-    */
-
-    SparkSessionUtil.spark.close()
-    System.exit(0)
-
-  }
-
-  def mergeVertexIp(): RDD[(String,Row)]={
-    val vertexIpDf = BaseClickhouseData.getVertexIpDf
-    val frame = vertexIpDf.groupBy("IP").agg(
-      min("FIRST_FOUND_TIME").alias("FIRST_FOUND_TIME"),
-      max("LAST_FOUND_TIME").alias("LAST_FOUND_TIME"),
-      collect_list("SESSION_COUNT").alias("SESSION_COUNT_LIST"),
-      collect_list("BYTES_SUM").alias("BYTES_SUM_LIST"),
-      collect_list("ip_type").alias("ip_type_list")
-    )
-    val values = frame.rdd.map(row => (row.getAs[String]("IP"), row))
-      .partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))
-    values
-  }
-
-}