根据自定义arangoRDD重构代码

IP-learning-graph/pom.xml

@@ -39,6 +39,12 @@
             <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/dao/BaseArangoData.java

@@ -41,9 +41,11 @@ public class BaseArangoData {
                 map.put(i,new ConcurrentHashMap<>());
             }
             CountDownLatch countDownLatch = new CountDownLatch(ApplicationConfig.THREAD_POOL_NUMBER);
-            long[] timeRange = getTimeRange(table);
+//            long[] timeRange = getTimeRange(table);
+            Long countTotal = getCountTotal(table);
             for (int i = 0; i < ApplicationConfig.THREAD_POOL_NUMBER; i++) {
-                String sql = getQuerySql(timeRange, i, table);
+//                String sql = getQuerySql(timeRange, i, table);
+                String sql = getQuerySql(countTotal, i, table);
                 ReadHistoryArangoData<T> readHistoryArangoData =
                         new ReadHistoryArangoData<>(arangoDBConnect, sql, map,type,table,countDownLatch);
                 threadPool.executor(readHistoryArangoData);
@@ -56,6 +58,32 @@ public class BaseArangoData {
         }
     }
 
+    public <T extends BaseDocument> ConcurrentHashMap<Integer,ConcurrentHashMap<String, T>> readHistoryData(String table, Class<T> type){
+        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++){
+                map.put(i,new ConcurrentHashMap<>());
+            }
+            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("读取历史数据失败 "+e.toString());
+        }
+        return map;
+    }
+
     private long[] getTimeRange(String table){
         long minTime = 0L;
         long maxTime = 0L;
@@ -81,6 +109,30 @@ 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;
+        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

@@ -73,5 +73,51 @@ 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

@@ -75,6 +75,41 @@ public class UpdateGraphData {
         }
     }
 
+    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();
+            LOG.info("iplearning application运行完毕，用时："+(last - start));
+        }catch (Exception e){
+            e.printStackTrace();
+        }finally {
+            arangoManger.clean();
+            pool.shutdown();
+        }
+    }
+
 
     private <T extends BaseDocument> void updateDocument(HashMap<Integer, HashMap<String, ArrayList<T>>> newMap,
                                                          ConcurrentHashMap<Integer, ConcurrentHashMap<String, T>> historyMap,
@@ -116,5 +151,45 @@ 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/test/IpLearningApplicationTest.java

@@ -6,7 +6,8 @@ public class IpLearningApplicationTest {
 
     public static void main(String[] args) {
         UpdateGraphData updateGraphData = new UpdateGraphData();
-        updateGraphData.updateArango();
+//        updateGraphData.updateArango();
+        updateGraphData.updateArango2();
 
     }
 }

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

@@ -0,0 +1,53 @@
+package cn.ac.iie;
+
+import cn.ac.iie.dao.BaseArangoData;
+import cn.ac.iie.utils.ArangoDBConnect;
+import cn.ac.iie.utils.ExecutorThreadPool;
+import com.arangodb.entity.BaseDocument;
+import com.arangodb.entity.BaseEdgeDocument;
+import org.junit.After;
+import org.junit.Test;
+
+import java.util.Enumeration;
+import java.util.concurrent.ConcurrentHashMap;
+
+public class TestReadArango {
+    private static ExecutorThreadPool pool = ExecutorThreadPool.getInstance();
+    private static ArangoDBConnect arangoManger = ArangoDBConnect.getInstance();
+
+    private static BaseArangoData baseArangoData = new BaseArangoData();
+
+
+    @Test
+    public void testReadFqdnFromArango() {
+        ConcurrentHashMap<Integer, ConcurrentHashMap<String, BaseDocument>> historyData =
+                baseArangoData.readHistoryData("FQDN", BaseDocument.class);
+        printMap(historyData);
+    }
+
+    @Test
+    public void testReadFqdnLocIpFromArango() {
+        ConcurrentHashMap<Integer, ConcurrentHashMap<String, BaseEdgeDocument>> ip =
+                baseArangoData.readHistoryData("R_LOCATE_FQDN2IP", BaseEdgeDocument.class);
+        printMap(ip);
+    }
+
+    private <T extends BaseDocument> void printMap(ConcurrentHashMap<Integer, ConcurrentHashMap<String, T>> historyData) {
+        ConcurrentHashMap<String, T> map = historyData.get(2);
+        Enumeration<String> keys = map.keys();
+        while (keys.hasMoreElements()) {
+            String key = keys.nextElement();
+            T document = map.get(key);
+            System.out.println(document.toString());
+        }
+    }
+
+
+    @After
+    public void clearSource() {
+        pool.shutdown();
+        arangoManger.clean();
+    }
+
+
+}

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

@@ -0,0 +1,46 @@
+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

@@ -63,6 +63,18 @@
         <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>
@@ -75,6 +87,11 @@
         <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

@@ -6,7 +6,6 @@ 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;
 
@@ -20,15 +19,6 @@ import java.util.concurrent.CountDownLatch;
  */
 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();
@@ -43,9 +33,11 @@ public class BaseArangoData {
                 historyMap.put(i, new ConcurrentHashMap<>());
             }
             CountDownLatch countDownLatch = new CountDownLatch(ApplicationConfig.THREAD_POOL_NUMBER());
-            long[] timeRange = getTimeRange(table);
+//            long[] timeRange = getTimeRange(table);
+            Long countTotal = getCountTotal(table);
             for (int i = 0; i < ApplicationConfig.THREAD_POOL_NUMBER(); i++) {
-                String sql = getQuerySql(timeRange, i, table);
+//                String sql = getQuerySql(timeRange, i, table);
+                String sql = getQuerySql(countTotal, i, table);
                 ReadHistoryArangoData<T> readHistoryArangoData = new ReadHistoryArangoData<>(arangoDBConnect, sql, historyMap, type, table, countDownLatch);
                 threadPool.executor(readHistoryArangoData);
             }
@@ -57,47 +49,27 @@ public class BaseArangoData {
         }
     }
 
-    private long[] getTimeRange(String table) {
+    private Long getCountTotal(String table){
-        long minTime = 0L;
+        long start = System.currentTimeMillis();
-        long maxTime = 0L;
+        Long cnt = 0L;
-        long startTime = System.currentTimeMillis();
+        String sql = "RETURN LENGTH("+table+")";
-        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)}";
+        try {
-        switch (ApplicationConfig.ARANGO_TIME_LIMIT_TYPE()) {
+            ArangoCursor<Long> longs = arangoDBConnect.executorQuery(sql, Long.class);
-            case 0:
+            while (longs.hasNext()){
-                ArangoCursor<BaseDocument> timeDoc = arangoDBConnect.executorQuery(sql, BaseDocument.class);
+                cnt = longs.next();
-                try {
+            }
-                    if (timeDoc != null) {
+        }catch (Exception e){
-                        while (timeDoc.hasNext()) {
+            LOG.error(sql +"执行异常");
-                            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();
+        long last = System.currentTimeMillis();
-        LOG.warn(sql + "\n查询最大最小时间用时：" + (lastTime - startTime));
+        LOG.info(sql+" 结果："+cnt+" 执行时间："+(last-start));
-        return new long[]{minTime, maxTime};
+        return cnt;
-
     }
 
-    private String getQuerySql(long[] timeRange, int threadNumber, String table) {
+    private String getQuerySql(Long cnt,int threadNumber, String table){
-        long minTime = timeRange[0];
+        long sepNum = cnt / ApplicationConfig.THREAD_POOL_NUMBER() + 1;
-        long maxTime = timeRange[1];
+        long offsetNum = threadNumber * sepNum;
-        long diffTime = (maxTime - minTime) / ApplicationConfig.THREAD_POOL_NUMBER();
+        return "FOR doc IN " + table + " limit "+offsetNum+","+sepNum+" RETURN doc";
-        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/resources/application.properties

@@ -1,45 +1,39 @@
 #spark任务配置
-spark.sql.shuffle.partitions=5
+spark.sql.shuffle.partitions=10
 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://192.168.40.186:8123/tsg_galaxy_v3
+spark.read.clickhouse.url=jdbc:clickhouse://192.168.44.67:8123/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=144
+spark.read.clickhouse.numPartitions=5
 spark.read.clickhouse.fetchsize=10000
-spark.read.clickhouse.partitionColumn=common_recv_time
+spark.read.clickhouse.partitionColumn=LAST_FOUND_TIME
 clickhouse.socket.timeout=300000
 #arangoDB配置
 arangoDB.host=192.168.40.182
 arangoDB.port=8529
 arangoDB.user=upsert
 arangoDB.password=ceiec2018
-#arangoDB.DB.name=insert_iplearn_index
 arangoDB.DB.name=ip-learning-test-0
+#arangoDB.DB.name=iplearn_media_domain
 arangoDB.ttl=3600
 
-thread.pool.number=5
+thread.pool.number=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
-clickhouse.time.limit.type=0
+clickhouse.time.limit.type=1
-read.clickhouse.max.time=1571245220
+read.clickhouse.max.time=1603785961
-read.clickhouse.min.time=1571245210
+read.clickhouse.min.time=1603354682
 
-#读取arangoDB时间范围方式，0：正常读；1：指定时间范围
+arangoDB.read.limit=1
-arango.time.limit.type=0
-read.arango.max.time=1571245320
-read.arango.min.time=1571245200
-
-arangoDB.read.limit=
 update.arango.batch=10000
 
 distinct.client.ip.num=10000
 recent.count.hour=24
 
-update.interval=10800
+update.interval=3600

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

@@ -36,12 +36,7 @@ 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 ARANGODB_READ_LIMIT: Int = config.getInt("arangoDB.read.limit")
-
-  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")

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

@@ -11,7 +11,7 @@ object BaseClickhouseData {
   val currentHour: Long = System.currentTimeMillis / (60 * 60 * 1000) * 60 * 60
   private val timeLimit: (Long, Long) = getTimeLimit
 
-  private def initClickhouseData(sql:String): Unit ={
+  private def initClickhouseData(sql:String): DataFrame  ={
 
     val dataFrame: DataFrame = spark.read.format("jdbc")
       .option("url", ApplicationConfig.SPARK_READ_CLICKHOUSE_URL)
@@ -28,6 +28,8 @@ object BaseClickhouseData {
       .load()
     dataFrame.printSchema()
     dataFrame.createOrReplaceGlobalTempView("dbtable")
+
+    dataFrame
   }
 
   def loadConnectionDataFromCk(): Unit ={
@@ -68,41 +70,7 @@ object BaseClickhouseData {
     initClickhouseData(sql)
   }
 
-  def getVertexFqdnDf: DataFrame ={
+  /*
-    loadConnectionDataFromCk()
-    val sql =
-      """
-        |SELECT
-        | FQDN,MAX( LAST_FOUND_TIME ) AS LAST_FOUND_TIME,MIN( FIRST_FOUND_TIME ) AS FIRST_FOUND_TIME
-        |FROM
-        | (
-        |  (SELECT
-        |    ssl_sni 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 = '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 vertexFqdnDf = spark.sql(sql)
-    vertexFqdnDf.printSchema()
-    vertexFqdnDf
-  }
-
   def getVertexIpDf: DataFrame ={
     loadConnectionDataFromCk()
     val sql =
@@ -190,6 +158,149 @@ object BaseClickhouseData {
     relationFqdnLocateIpDf.printSchema()
     relationFqdnLocateIpDf
   }
+  */
+
+  def getVertexFqdnDf: DataFrame ={
+    val sql =
+      """
+        |(SELECT
+        | FQDN,MAX( LAST_FOUND_TIME ) AS LAST_FOUND_TIME,MIN( FIRST_FOUND_TIME ) AS FIRST_FOUND_TIME
+        |FROM
+        | ((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 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 tsg_galaxy_v3.connection_record_log
+        |   WHERE common_schema_type = 'HTTP' GROUP BY http_host))
+        |GROUP BY FQDN HAVING FQDN != '') as dbtable
+      """.stripMargin
+    LOG.warn(sql)
+    val frame = initClickhouseData(sql)
+    frame.printSchema()
+    frame
+  }
+
+  def getVertexIpDf: DataFrame ={
+    val where = "common_recv_time >= " + timeLimit._2 + " AND common_recv_time < " + timeLimit._1
+    val sql =
+      s"""
+         |(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+common_s2c_byte_num) as BYTES_SUM,
+         |groupUniqArray(2)(common_link_info_c2s)[2] as common_link_info,
+         |'client' as ip_type
+         |FROM tsg_galaxy_v3.connection_record_log
+         |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 tsg_galaxy_v3.connection_record_log
+         |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 tsg_galaxy_v3.connection_record_log
+         |WHERE $where and common_schema_type = 'SSL' GROUP BY ssl_sni,common_server_ip)
+         |UNION ALL
+         |(SELECT http_host AS FQDN,common_server_ip,MAX(common_recv_time) AS LAST_FOUND_TIME,MIN(common_recv_time) AS FIRST_FOUND_TIME,COUNT(*) AS COUNT_TOTAL,
+         |toString(groupUniqArray(${ApplicationConfig.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))
+         |WHERE FQDN != '') as dbtable
+      """.stripMargin
+    LOG.warn(sql)
+    val frame = initClickhouseData(sql)
+    frame.printSchema()
+    frame
+  }
+
+  def getRelationSubidLocateIpDf: DataFrame ={
+    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 radius_record_log
+         |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}
+         | AND common_recv_time < ${timeLimit._1}
+         | AND common_subscriber_id != ''
+         | AND radius_framed_ip != ''
+      """.stripMargin
+    val sql =
+      s"""
+         |(
+         |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
+         |)as dbtable
+      """.stripMargin
+    LOG.warn(sql)
+    val frame = initClickhouseData(sql)
+    frame.printSchema()
+    frame
+  }
+
+  def getVertexFramedIpDf: DataFrame ={
+    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 DISTINCT radius_framed_ip,common_recv_time as LAST_FOUND_TIME FROM radius_record_log WHERE $where
+         |)as dbtable
+      """.stripMargin
+    LOG.warn(sql)
+    val frame = initClickhouseData(sql)
+    frame.printSchema()
+    frame
+  }
+
 
   private def getTimeLimit: (Long,Long) ={
     var maxTime = 0L

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

@@ -4,37 +4,57 @@ import java.util.regex.Pattern
 
 import cn.ac.iie.config.ApplicationConfig
 import cn.ac.iie.dao.BaseClickhouseData
+import cn.ac.iie.spark.ArangoSpark
 import cn.ac.iie.spark.partition.CustomPartitioner
+import cn.ac.iie.spark.rdd.ReadOptions
+import com.arangodb.entity.{BaseDocument, BaseEdgeDocument}
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.functions._
 import org.slf4j.LoggerFactory
+import cn.ac.iie.utils.SparkSessionUtil._
 
 object MergeDataFrame {
   private val LOG = LoggerFactory.getLogger(MergeDataFrame.getClass)
   private val pattern = Pattern.compile("^[\\d]*$")
+  private val options = ReadOptions(ApplicationConfig.ARANGODB_DB_NAME)
 
-  def mergeVertexFqdn(): RDD[Row] ={
+  def mergeVertexFqdn(): RDD[(String, (Option[BaseDocument], Option[Row]))] ={
-    BaseClickhouseData.getVertexFqdnDf
+    val fqdnAccmu = getLongAccumulator("FQDN Accumulator")
-      .rdd.filter(row => isDomain(row.getAs[String](0))).map(row => (row.get(0),row))
+    val fqdnRddRow = BaseClickhouseData.getVertexFqdnDf
-      .partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)).values
+      .rdd.filter(row => isDomain(row.getAs[String](0))).map(row => {
+      fqdnAccmu.add(1)
+      (row.getAs[String]("FQDN"), row)
+    }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))
+    fqdnRddRow.cache()
+    val fqdnRddDoc = ArangoSpark.load[BaseDocument](sparkContext,"FQDN",options)
+
+    fqdnRddDoc.map(doc => (doc.getKey, doc)).fullOuterJoin(fqdnRddRow)
   }
 
-  def mergeVertexIp(): RDD[Row]={
+  def mergeVertexIp(): RDD[(String, (Option[BaseDocument], Option[Row]))]={
+    val ipAccum = getLongAccumulator("IP Accumulator")
     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")
+      collect_list("ip_type").alias("ip_type_list"),
+      last("common_link_info").alias("common_link_info")
     )
-    val values = frame.rdd.map(row => (row.get(0), row))
+    val ipRddRow = frame.rdd.map(row => {
-      .partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)).values
+      ipAccum.add(1)
-    values
+      (row.getAs[String]("IP"), row)
+    }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))
+    val ipRddDoc = ArangoSpark.load[BaseDocument](sparkContext,"IP",options)
+
+    ipRddDoc.map(doc => (doc.getKey, doc)).fullOuterJoin(ipRddRow)
+
   }
 
-  def mergeRelationFqdnLocateIp(): RDD[Row] ={
+  def mergeRelationFqdnLocateIp(): RDD[(String, (Option[BaseEdgeDocument], Option[Row]))] ={
+    val fqdnLocIpAccum = getLongAccumulator("R_LOCATE_FQDN2IP Accumulator")
     val frame = BaseClickhouseData.getRelationFqdnLocateIpDf.filter(row => isDomain(row.getAs[String]("FQDN")))
       .groupBy("FQDN", "common_server_ip")
       .agg(
@@ -44,13 +64,61 @@ object MergeDataFrame {
         collect_list("schema_type").alias("schema_type_list"),
         collect_set("DIST_CIP_RECENT").alias("DIST_CIP_RECENT")
       )
-    frame.rdd.map(row => {
+    val fqdnLocIpRddRow = frame.rdd.map(row => {
       val fqdn = row.getAs[String]("FQDN")
       val serverIp = row.getAs[String]("common_server_ip")
-      val key = fqdn.concat("-"+serverIp)
+      val key = fqdn.concat("-" + serverIp)
-      (key,row)
+      fqdnLocIpAccum.add(1)
-    }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)).values
+      (key, row)
+    }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))
+    val fqdnLocIpRddDoc = ArangoSpark.load[BaseEdgeDocument](sparkContext,"R_LOCATE_FQDN2IP",options)
 
+    fqdnLocIpRddDoc.map(doc => (doc.getKey, doc)).fullOuterJoin(fqdnLocIpRddRow)
+
+  }
+
+  def mergeRelationSubidLocateIp(): RDD[(String, (Option[BaseEdgeDocument], Option[Row]))] ={
+    val subidLocIpAccum = getLongAccumulator("R_LOCATE_SUBSCRIBER2IP Accumulator")
+    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)
+      subidLocIpAccum.add(1)
+      (key, row)
+    }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))
+    val subidLocIpRddDoc = ArangoSpark.load[BaseEdgeDocument](sparkContext,"R_LOCATE_SUBSCRIBER2IP",options)
+
+    subidLocIpRddDoc.map(doc => (doc.getKey, doc)).fullOuterJoin(subidLocIpRddRow)
+  }
+
+  def mergeVertexSubid(): RDD[(String, (Option[BaseDocument], Option[Row]))] ={
+    val subidAccum = getLongAccumulator("SUBSCRIBER Accumulator")
+    val subidRddRow = BaseClickhouseData.getVertexSubidDf
+      .repartition(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)
+      .rdd.map(row => {
+      val commonSubscriberId = row.getAs[String]("common_subscriber_id")
+      subidAccum.add(1)
+      (commonSubscriberId, row)
+    }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS))
+
+    val subidRddDoc = ArangoSpark.load[BaseDocument](sparkContext,"SUBSCRIBER",options)
+
+    subidRddDoc.map(doc => (doc.getKey, doc)).fullOuterJoin(subidRddRow)
+
+  }
+
+  def mergeVertexFrameIp: RDD[Row] ={
+    val framedIpAccum = getLongAccumulator("framed ip Accumulator")
+    val values = BaseClickhouseData.getVertexFramedIpDf
+      .repartition(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)
+      .rdd.map(row => {
+      val ip = row.getAs[String]("radius_framed_ip")
+      framedIpAccum.add(1)
+      (ip, row)
+    }).partitionBy(new CustomPartitioner(ApplicationConfig.SPARK_SQL_SHUFFLE_PARTITIONS)).values
+    values
   }
 
   private def isDomain(fqdn: String): Boolean = {
@@ -58,14 +126,10 @@ object MergeDataFrame {
       if (fqdn == null || fqdn.length == 0) {
         return false
       }
-      if (fqdn.contains(":")) {
+
-        val s = fqdn.split(":")(0)
+      val fqdnArr = fqdn.split(":")(0).split("\\.")
-        if (s.contains(":")){
+
-          return false
+      if (fqdnArr.length != 4){
-        }
-      }
-      val fqdnArr = fqdn.split("\\.")
-      if (fqdnArr.length < 4 || fqdnArr.length > 4){
         return true
       }
       for (f <- fqdnArr) {
@@ -83,6 +147,7 @@ object MergeDataFrame {
         LOG.error("解析域名 " + fqdn + " 失败：\n" + e.toString)
     }
     false
+
   }
 
 }

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

@@ -1,7 +1,8 @@
 package cn.ac.iie.service.update
 
 
-import java.lang
+import java.util
+import scala.collection.JavaConversions._
 
 import cn.ac.iie.config.ApplicationConfig
 import cn.ac.iie.service.read.ReadHistoryArangoData
@@ -14,16 +15,24 @@ object UpdateDocHandler {
   val PROTOCOL_SET: Set[String] = Set("HTTP","TLS","DNS")
 
   def updateMaxAttribute(hisDoc: BaseDocument,newAttribute:Long,attributeName:String): Unit ={
-    var hisAttritube = hisDoc.getAttribute(attributeName).toString.toLong
+    if(hisDoc.getProperties.containsKey(attributeName)){
-    if (newAttribute > hisAttritube){
+      var hisAttritube = hisDoc.getAttribute(attributeName).toString.toLong
-      hisAttritube = newAttribute
+      if (newAttribute > hisAttritube){
+        hisAttritube = newAttribute
+      }
+      hisDoc.addAttribute(attributeName,hisAttritube)
     }
-    hisDoc.addAttribute(attributeName,hisAttritube)
   }
 
   def updateSumAttribute(hisDoc: BaseDocument,newAttribute:Long,attributeName:String): Unit ={
-    val hisAttritube = hisDoc.getAttribute(attributeName).toString.toLong
+    if (hisDoc.getProperties.containsKey(attributeName)){
-    hisDoc.addAttribute(attributeName,newAttribute+hisAttritube)
+      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)
   }
 
   def separateAttributeByIpType(ipTypeList:ofRef[String],
@@ -62,19 +71,21 @@ object UpdateDocHandler {
   }
 
   def updateProtocolAttritube(hisDoc:BaseEdgeDocument, protocolMap: Map[String, Long]): Unit ={
-    var protocolType = hisDoc.getAttribute("PROTOCOL_TYPE").toString
+    if (hisDoc.getProperties.containsKey("PROTOCOL_TYPE")){
-    protocolMap.foreach(t => {
+      var protocolType = hisDoc.getAttribute("PROTOCOL_TYPE").toString
-      if (t._2 > 0 && !protocolType.contains(t._1)){
+      protocolMap.foreach((t: (String, Long)) => {
-        protocolType = protocolType.concat(","+ t._1)
+        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 cntTotalName = t._1.concat("_CNT_TOTAL")
-      val cntRecent: Array[lang.Long] = hisDoc.getAttribute(cntRecentName).asInstanceOf[Array[java.lang.Long]]
+        val cntRecentName = t._1.concat("_CNT_RECENT")
-      cntRecent.update(0,t._2)
+        val cntRecent = hisDoc.getAttribute(cntRecentName).asInstanceOf[Array[Long]]
-      updateSumAttribute(hisDoc,t._2,cntTotalName)
+        cntRecent.update(0,t._2)
-      hisDoc.addAttribute(cntRecentName,cntRecent)
+        updateSumAttribute(hisDoc,t._2,cntTotalName)
-    })
+        hisDoc.addAttribute(cntRecentName,cntRecent)
-    hisDoc.addAttribute("PROTOCOL_TYPE",protocolType)
+      })
+      hisDoc.addAttribute("PROTOCOL_TYPE",protocolType)
+    }
   }
 
   def putProtocolAttritube(doc:BaseEdgeDocument, protocolMap: Map[String, Long]): Unit ={
@@ -93,10 +104,30 @@ object UpdateDocHandler {
     doc.addAttribute("PROTOCOL_TYPE",protocolTypeBuilder.toString().replaceFirst(",",""))
   }
 
-  def mergeDistinctIp(distCipRecent:ofRef[ofRef[String]]): Array[String] ={
+  def updateProtocolDocument(doc: BaseEdgeDocument): Unit = {
-     distCipRecent.flatten.distinct.take(ApplicationConfig.DISTINCT_CLIENT_IP_NUM).toArray
+    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("\\'","")
+        .split(",")
+    }).distinct.take(ApplicationConfig.DISTINCT_CLIENT_IP_NUM).toArray
+  }
+
+
   def putDistinctIp(doc:BaseEdgeDocument,newDistinctIp:Array[String]): Unit ={
     val map = newDistinctIp.map(ip => {
       (ip, ReadHistoryArangoData.currentHour)
@@ -106,17 +137,19 @@ object UpdateDocHandler {
   }
 
   def updateDistinctIp(hisDoc:BaseEdgeDocument,newDistinctIp:Array[String]): Unit ={
-    val hisDistCip = hisDoc.getAttribute("DIST_CIP").asInstanceOf[Array[String]]
+    if (hisDoc.getProperties.containsKey("DIST_CIP") && hisDoc.getProperties.containsKey("DIST_CIP_TS")){
-    val hisDistCipTs = hisDoc.getAttribute("DIST_CIP_TS").asInstanceOf[Array[Long]]
+      val hisDistCip = hisDoc.getAttribute("DIST_CIP").asInstanceOf[util.ArrayList[String]]
-    if (hisDistCip.length == hisDistCipTs.length){
+      val hisDistCipTs = hisDoc.getAttribute("DIST_CIP_TS").asInstanceOf[util.ArrayList[Long]]
-      val distCipToTsMap: Map[String, Long] = hisDistCip.zip(hisDistCipTs).toMap
+      if (hisDistCip.length == hisDistCipTs.length){
-      val muDistCipToTsMap: mutable.Map[String, Long] = mutable.Map(distCipToTsMap.toSeq:_*)
+        val distCipToTsMap: Map[String, Long] = hisDistCip.zip(hisDistCipTs).toMap
-      newDistinctIp.foreach(cip => {
+        val muDistCipToTsMap: mutable.Map[String, Long] = mutable.Map(distCipToTsMap.toSeq:_*)
-        muDistCipToTsMap.put(cip,ReadHistoryArangoData.currentHour)
+        newDistinctIp.foreach(cip => {
-      })
+          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)
+        val resultMap = muDistCipToTsMap.toList.sortBy(-_._2).take(ApplicationConfig.DISTINCT_CLIENT_IP_NUM).toMap
-      hisDoc.addAttribute("DIST_CIP_TS",resultMap.values.toArray)
+        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

@@ -1,17 +1,12 @@
 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, ExecutorThreadPool, SparkSessionUtil}
+import cn.ac.iie.utils.{ArangoDBConnect, 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
@@ -19,44 +14,47 @@ 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", historyVertexFqdnMap, getVertexFqdnRow, classOf[BaseDocument], mergeVertexFqdn)
+      updateDocument("FQDN", getVertexFqdnRow, mergeVertexFqdn)
-      updateDocument("IP", historyVertexIpMap, getVertexIpRow, classOf[BaseDocument], mergeVertexIp)
+
-      updateDocument("R_LOCATE_FQDN2IP", historyRelationFqdnAddressIpMap, 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,
-                                                historyMap: ConcurrentHashMap[Integer, ConcurrentHashMap[String, T]],
+                                                getDocumentRow: ((String, (Option[T], Option[Row]))) => T,
-                                                getDocumentRow: (Row, ConcurrentHashMap[String, T]) => T,
+                                                getJoinRdd: () => RDD[(String, (Option[T], Option[Row]))]
-                                                clazz: Class[T],
-                                                getNewDataRdd: () => RDD[Row]
                                                ): Unit = {
-    baseArangoData.readHistoryData(collName, historyMap, clazz)
-    val hisBc = spark.sparkContext.broadcast(historyMap)
     try {
       val start = System.currentTimeMillis()
-      val newDataRdd = getNewDataRdd()
+      val joinRdd = getJoinRdd()
-      newDataRdd.foreachPartition(iter => {
+      joinRdd.foreachPartition(iter => {
-        val partitionId: Int = TaskContext.get.partitionId
-        val dictionaryMap: ConcurrentHashMap[String, T] = hisBc.value.get(partitionId)
         val resultDocumentList = new util.ArrayList[T]
         var i = 0
         iter.foreach(row => {
-          val document = getDocumentRow(row, dictionaryMap)
+          val document = getDocumentRow(row)
-          resultDocumentList.add(document)
+          if (document != null){
+            resultDocumentList.add(document)
+          }
           i += 1
           if (i >= ApplicationConfig.UPDATE_ARANGO_BATCH) {
             arangoManger.overwrite(resultDocumentList, collName)
@@ -73,88 +71,238 @@ object UpdateDocument {
       LOG.warn(s"更新$collName 时间：${last - start}")
     } catch {
       case e: Exception => e.printStackTrace()
-    } finally {
-      hisBc.destroy()
     }
   }
 
-  private def getVertexFqdnRow(row: Row, dictionaryMap: ConcurrentHashMap[String, BaseDocument]): BaseDocument = {
+  private def insertFrameIp(): Unit ={
-    val fqdn = row.getAs[String]("FQDN")
+    mergeVertexFrameIp.foreachPartition(iter => {
-    val lastFoundTime = row.getAs[Long]("LAST_FOUND_TIME")
+      val resultDocumentList = new util.ArrayList[BaseDocument]
-    val firstFoundTime = row.getAs[Long]("FIRST_FOUND_TIME")
+      var i = 0
-    var document: BaseDocument = dictionaryMap.getOrDefault(fqdn, null)
+      iter.foreach(row => {
-    if (document != null) {
+        val document = getVertexFrameipRow(row)
-      updateMaxAttribute(document, lastFoundTime, "LAST_FOUND_TIME")
+        resultDocumentList.add(document)
-    } else {
+        i += 1
-      document = new BaseDocument
+        if (i >= ApplicationConfig.UPDATE_ARANGO_BATCH) {
-      document.setKey(fqdn)
+          arangoManger.overwrite(resultDocumentList, "IP")
-      document.addAttribute("FQDN_NAME", fqdn)
+          LOG.warn(s"更新:IP" + i)
-      document.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
+          i = 0
-      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 getVertexIpRow(row: Row, dictionaryMap: ConcurrentHashMap[String, BaseDocument]): BaseDocument = {
+  private def getRelationSubidLocateIpRow(joinRow: (String, (Option[BaseEdgeDocument], Option[Row]))): BaseEdgeDocument ={
-    val ip = row.getAs[String]("IP")
-    val firstFoundTime = row.getAs[Long]("FIRST_FOUND_TIME")
-    val lastFoundTime = row.getAs[Long]("LAST_FOUND_TIME")
-    val sessionCountList = row.getAs[ofRef[AnyRef]]("SESSION_COUNT_LIST")
-    val bytesSumList = row.getAs[ofRef[AnyRef]]("BYTES_SUM_LIST")
-    val ipTypeList = row.getAs[ofRef[String]]("ip_type_list")
-    val sepAttributeTuple = separateAttributeByIpType(ipTypeList, sessionCountList, bytesSumList)
 
-    var document = dictionaryMap.getOrDefault(ip, null)
+    val subidLocIpDocOpt = joinRow._2._1
-    if (document != null) {
+    var subidLocIpDoc = subidLocIpDocOpt match {
-      updateMaxAttribute(document, lastFoundTime, "LAST_FOUND_TIME")
+      case Some(doc) => doc
-      updateSumAttribute(document, sepAttributeTuple._1, "SERVER_SESSION_COUNT")
+      case None => null
-      updateSumAttribute(document, sepAttributeTuple._2, "SERVER_BYTES_SUM")
-      updateSumAttribute(document, sepAttributeTuple._3, "CLIENT_SESSION_COUNT")
-      updateSumAttribute(document, sepAttributeTuple._4, "CLIENT_BYTES_SUM")
-    } else {
-      document = new BaseDocument
-      document.setKey(ip)
-      document.addAttribute("IP", ip)
-      document.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
-      document.addAttribute("LAST_FOUND_TIME", lastFoundTime)
-      document.addAttribute("SERVER_SESSION_COUNT", sepAttributeTuple._1)
-      document.addAttribute("SERVER_BYTES_SUM", sepAttributeTuple._2)
-      document.addAttribute("CLIENT_SESSION_COUNT", sepAttributeTuple._3)
-      document.addAttribute("CLIENT_BYTES_SUM", sepAttributeTuple._4)
-      document.addAttribute("COMMON_LINK_INFO", "")
     }
-    document
+
+    val subidLocIpRowOpt = 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 getRelationFqdnLocateIpRow(row: Row, dictionaryMap: ConcurrentHashMap[String, BaseEdgeDocument]): BaseEdgeDocument = {
+  private def getVertexSubidRow(joinRow: (String, (Option[BaseDocument], Option[Row]))): BaseDocument ={
-    val fqdn = row.getAs[String]("FQDN")
+    val subidDocOpt = joinRow._2._1
-    val serverIp = row.getAs[String]("common_server_ip")
+    var subidDoc = subidDocOpt match {
-    val firstFoundTime = row.getAs[Long]("FIRST_FOUND_TIME")
+      case Some(doc) => doc
-    val lastFoundTime = row.getAs[Long]("LAST_FOUND_TIME")
+      case None => null
-    val countTotalList = row.getAs[ofRef[AnyRef]]("COUNT_TOTAL_LIST")
-    val schemaTypeList = row.getAs[ofRef[AnyRef]]("schema_type_list")
-    val distCipRecent = row.getAs[ofRef[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 (document != null) {
-      updateMaxAttribute(document, lastFoundTime, "LAST_FOUND_TIME")
-      updateProtocolAttritube(document, sepAttritubeMap)
-      updateDistinctIp(document, distinctIp)
-    } else {
-      document = new BaseEdgeDocument()
-      document.setKey(key)
-      document.setFrom("FQDN/" + fqdn)
-      document.setTo("IP/" + serverIp)
-      document.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
-      document.addAttribute("LAST_FOUND_TIME", lastFoundTime)
-      putProtocolAttritube(document, sepAttritubeMap)
-      putDistinctIp(document, distinctIp)
     }
-    document
+
+    val subidRowOpt = 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], Option[Row]))): BaseDocument = {
+    val fqdnDocOpt = joinRow._2._1
+    var fqdnDoc = fqdnDocOpt match {
+      case Some(doc) => doc
+      case None => null
+    }
+
+    val fqdnRowOpt = 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], Option[Row]))): BaseDocument = {
+    val ipDocOpt = joinRow._2._1
+    var ipDoc = ipDocOpt match {
+      case Some(doc) => doc
+      case None => null
+    }
+
+    val ipRowOpt = 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) {
+        updateMaxAttribute(ipDoc, lastFoundTime, "LAST_FOUND_TIME")
+        updateSumAttribute(ipDoc, sepAttributeTuple._1, "SERVER_SESSION_COUNT")
+        updateSumAttribute(ipDoc, sepAttributeTuple._2, "SERVER_BYTES_SUM")
+        updateSumAttribute(ipDoc, sepAttributeTuple._3, "CLIENT_SESSION_COUNT")
+        updateSumAttribute(ipDoc, sepAttributeTuple._4, "CLIENT_BYTES_SUM")
+        replaceAttribute(ipDoc,linkInfo,"COMMON_LINK_INFO")
+      } else {
+        ipDoc = new BaseDocument
+        ipDoc.setKey(ip)
+        ipDoc.addAttribute("IP", ip)
+        ipDoc.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
+        ipDoc.addAttribute("LAST_FOUND_TIME", lastFoundTime)
+        ipDoc.addAttribute("SERVER_SESSION_COUNT", sepAttributeTuple._1)
+        ipDoc.addAttribute("SERVER_BYTES_SUM", sepAttributeTuple._2)
+        ipDoc.addAttribute("CLIENT_SESSION_COUNT", sepAttributeTuple._3)
+        ipDoc.addAttribute("CLIENT_BYTES_SUM", sepAttributeTuple._4)
+        ipDoc.addAttribute("COMMON_LINK_INFO", "")
+      }
+    }
+
+    ipDoc
+  }
+
+  private def getRelationFqdnLocateIpRow(joinRow: (String, (Option[BaseEdgeDocument], Option[Row]))): BaseEdgeDocument = {
+
+    val fqdnLocIpDocOpt = joinRow._2._1
+    var fqdnLocIpDoc = fqdnLocIpDocOpt match {
+      case Some(doc) => doc
+      case None => null
+    }
+
+    val fqdnLocIpRowOpt = 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)
+
+      if (fqdnLocIpDoc != null) {
+        updateMaxAttribute(fqdnLocIpDoc, lastFoundTime, "LAST_FOUND_TIME")
+        updateProtocolAttritube(fqdnLocIpDoc, sepAttritubeMap)
+        updateDistinctIp(fqdnLocIpDoc, distinctIp)
+      } else {
+        fqdnLocIpDoc = new BaseEdgeDocument()
+        fqdnLocIpDoc.setKey(key)
+        fqdnLocIpDoc.setFrom("FQDN/" + fqdn)
+        fqdnLocIpDoc.setTo("IP/" + serverIp)
+        fqdnLocIpDoc.addAttribute("FIRST_FOUND_TIME", firstFoundTime)
+        fqdnLocIpDoc.addAttribute("LAST_FOUND_TIME", lastFoundTime)
+        putProtocolAttritube(fqdnLocIpDoc, sepAttritubeMap)
+        putDistinctIp(fqdnLocIpDoc, distinctIp)
+      }
+    }
+
+    fqdnLocIpDoc
   }
 
 }

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

@@ -0,0 +1,136 @@
+/*
+ * 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

@@ -0,0 +1,7 @@
+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

@@ -0,0 +1,34 @@
+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

@@ -0,0 +1,81 @@
+package cn.ac.iie.spark.rdd
+
+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 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()
+    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,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
+    } 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

@@ -0,0 +1,93 @@
+/*
+ * 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

@@ -0,0 +1,124 @@
+/*
+ * 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

@@ -0,0 +1,139 @@
+/*
+ * 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

@@ -0,0 +1,160 @@
+/*
+ * 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

@@ -1,7 +1,9 @@
 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 {
@@ -9,6 +11,8 @@ object SparkSessionUtil {
 
   val spark: SparkSession = getSparkSession
 
+  var sparkContext: SparkContext = getContext
+
   private def getSparkSession: SparkSession ={
     val spark: SparkSession = SparkSession
       .builder()
@@ -17,16 +21,36 @@ 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
   }
 
+  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/service/update/UpdateDocumentTest.scala

@@ -1,35 +0,0 @@
-package cn.ac.iie.service.update
-
-import java.util
-import java.util.ArrayList
-import java.util.concurrent.ConcurrentHashMap
-
-import cn.ac.iie.dao.BaseArangoData
-import cn.ac.iie.dao.BaseArangoData._
-import com.arangodb.entity.{BaseDocument, BaseEdgeDocument}
-
-import scala.collection.mutable.WrappedArray.ofRef
-
-object UpdateDocumentTest {
-  def main(args: Array[String]): Unit = {
-    val baseArangoData = new BaseArangoData()
-    baseArangoData.readHistoryData("R_LOCATE_FQDN2IP", historyRelationFqdnAddressIpMap, classOf[BaseEdgeDocument])
-
-    val value = BaseArangoData.historyRelationFqdnAddressIpMap.keys()
-    while (value.hasMoreElements) {
-      val integer: Integer = value.nextElement()
-      val map: ConcurrentHashMap[String, BaseEdgeDocument] = historyRelationFqdnAddressIpMap.get(integer)
-      val unit = map.keys()
-      while (unit.hasMoreElements) {
-        val key = unit.nextElement()
-        val edgeDocument = map.get(key)
-        //        val longs = edgeDocument.getAttribute("DNS_CNT_RECENT").asInstanceOf[util.ArrayList[Long]]
-        //        val strings = edgeDocument.getAttribute("DIST_CIP").asInstanceOf[util.ArrayList[String]]
-        val strings = edgeDocument.getAttribute("DIST_CIP").asInstanceOf[Array[String]]
-        val longs = edgeDocument.getAttribute("DNS_CNT_RECENT").asInstanceOf[Array[java.lang.Long]]
-        println(longs.toString + "---" + strings.toString)
-      }
-    }
-  }
-
-}

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

@@ -0,0 +1,75 @@
+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
+  }
+
+}