Fix kafka streaming vcnt and ecnt count

src/frontend/JasmineGraphFrontEnd.cpp

@@ -134,7 +134,7 @@ void *frontendservicesesion(void *dummyPt) {
     std::string kafka_server_IP;
     cppkafka::Configuration configs;
     KafkaConnector *kstream;
-    Partitioner graphPartitioner(numberOfPartitions, 1, spt::Algorithms::HASH);
+    Partitioner graphPartitioner(numberOfPartitions, 1, spt::Algorithms::HASH, sqlite);
 
     vector<DataPublisher *> workerClients;
     bool workerClientsInitialized = false;
@@ -1229,13 +1229,13 @@ static void add_stream_kafka_command(int connFd, std::string &kafka_server_IP, c
     // create kafka consumer and graph partitioner
     kstream = new KafkaConnector(configs);
     // Create the Partitioner object.
-    Partitioner graphPartitioner(numberOfPartitions, 0, spt::Algorithms::FENNEL);
+    Partitioner graphPartitioner(numberOfPartitions, 0, spt::Algorithms::FENNEL, sqlite);
     // Create the KafkaConnector object.
     kstream = new KafkaConnector(configs);
     // Subscribe to the Kafka topic.
     kstream->Subscribe(topic_name_s);
     // Create the StreamHandler object.
-    StreamHandler *stream_handler = new StreamHandler(kstream, numberOfPartitions, workerClients);
+    StreamHandler *stream_handler = new StreamHandler(kstream, numberOfPartitions, workerClients, sqlite);
 
     string path = "kafka:\\" + topic_name_s + ":" + group_id;
     std::time_t time = chrono::system_clock::to_time_t(chrono::system_clock::now());

src/partitioner/stream/Partitioner.cpp

@@ -133,6 +133,23 @@
     }
 }
 
+void Partitioner::updateMetaDB() {
+    double vertexCount = 0;
+    double edgesCount = 0;
+    double edgeCutsCount = 0;
+    for (auto partition : this->partitions) {
+        vertexCount += partition.getVertextCount();
+        edgesCount += partition.getEdgesCount();
+        edgeCutsCount += partition.edgeCutsCount();
+    }
+    double numberOfEdges = edgesCount + edgeCutsCount/2;
+    std::string sqlStatement = "UPDATE graph SET vertexcount = '" + std::to_string(vertexCount) +
+            "' ,centralpartitioncount = '" + std::to_string(this->numberOfPartitions) +
+            "' ,edgecount = '" + std::to_string(numberOfEdges) +
+            "' WHERE idgraph = '" + std::to_string(this->graphID) + "'";
+    this->sqlite->runUpdate(sqlStatement);
+    streaming_partitioner_logger.info("Successfully updated metaDB");
+}
 /**
  * Greedy vertex assignment objectives of minimizing the number of cut edges
 and balancing of the partition sizes. Assign the vertext to partition P that maximize the partition score

src/partitioner/stream/Partitioner.h

@@ -15,6 +15,7 @@
 #include <vector>
 
 #include "./Partition.h"
+#include "../../metadb/SQLiteDBInterface.h"
 
 typedef std::vector<std::pair<std::string, long>> partitionedEdge;
 namespace spt {  // spt : Streaming Partitioner
@@ -29,12 +30,13 @@
     long totalEdges = 0;
     int graphID;
     spt::Algorithms algorithmInUse;
+    SQLiteDBInterface *sqlite;
     // perPartitionCap is : Number of vertices that can be store in this partition, This is a dynamic shared pointer
     // containing a value depending on the whole graph size and # of partitions
 
  public:
-    Partitioner(int numberOfPartitions, int graphID, spt::Algorithms alog)
-        : numberOfPartitions(numberOfPartitions), graphID(graphID), algorithmInUse(alog) {
+    Partitioner(int numberOfPartitions, int graphID, spt::Algorithms alog, SQLiteDBInterface* sqlite)
+            : numberOfPartitions(numberOfPartitions), graphID(graphID), algorithmInUse(alog), sqlite(sqlite) {
         for (size_t i = 0; i < numberOfPartitions; i++) {
             this->partitions.push_back(Partition(i, numberOfPartitions));
         };
@@ -47,6 +49,8 @@
     partitionedEdge fennelPartitioning(std::pair<std::string, std::string> edge);
     partitionedEdge ldgPartitioning(std::pair<std::string, std::string> edge);
     static std::pair<long, long> deserialize(std::string data);
+    void updateMetaDB();
+    void setGraphID(int graphId){this->graphID = graphId;};
 };
 
 #endif  // !JASMINE_PARTITIONER_HEADER

src/util/kafka/StreamHandler.cpp

@@ -27,10 +27,10 @@
 Logger stream_handler_logger;
 
 StreamHandler::StreamHandler(KafkaConnector *kstream, int numberOfPartitions,
-                             vector<DataPublisher *> &workerClients)
+                             vector<DataPublisher *> &workerClients, SQLiteDBInterface* sqlite)
         : kstream(kstream),
           workerClients(workerClients),
-          graphPartitioner(numberOfPartitions, 0, spt::Algorithms::HASH),
+          graphPartitioner(numberOfPartitions, 0, spt::Algorithms::HASH, sqlite),
           stream_topic_name("stream_topic_name") { }
 
 
@@ -82,6 +82,10 @@
             stream_handler_logger.error("Edge Rejected. Streaming edge should Include the Graph ID.");
             continue;
         }
+
+        auto prop = edgeJson["properties"];
+        auto graphID = std::string(prop["graphId"]);
+        graphPartitioner.setGraphID(stoi(graphID));
         auto sourceJson = edgeJson["source"];
         auto destinationJson = edgeJson["destination"];
         string sId = std::string(sourceJson["id"]);
@@ -114,6 +118,6 @@
             workerClients.at(temp_d)->publish(obj.dump());
         }
     }
-
+    graphPartitioner.updateMetaDB();
     graphPartitioner.printStats();
 }

src/util/kafka/StreamHandler.h

@@ -20,10 +20,12 @@ limitations under the License.
 #include "../../partitioner/stream/Partitioner.h"
 #include "../logger/Logger.h"
 #include "KafkaCC.h"
+#include "../../metadb/SQLiteDBInterface.h"
 
 class StreamHandler {
  public:
-    StreamHandler(KafkaConnector *kstream, int numberOfPartitions, std::vector<DataPublisher *> &workerClients);
+    StreamHandler(KafkaConnector *kstream, int numberOfPartitions,
+                  std::vector<DataPublisher *> &workerClients, SQLiteDBInterface* sqlite);
     void listen_to_kafka_topic();
     cppkafka::Message pollMessage();
     bool isErrorInMessage(const cppkafka::Message &msg);