graphdb/src/main/java/com/orientechnologies/orient/graph/batch/OGraphBatchInsertBasic.java
public void begin() {
    walActive =  OGlobalConfiguration.USE_WAL.getValueAsBoolean();
    if (walActive)
      OGlobalConfiguration.USE_WAL.setValue(false);
    if (averageEdgeNumberPerNode > 0) {
      OGlobalConfiguration.RID_BAG_EMBEDDED_DEFAULT_SIZE.setValue(averageEdgeNumberPerNode);
      OGlobalConfiguration.RID_BAG_EMBEDDED_TO_SBTREEBONSAI_THRESHOLD.setValue(bonsaiThreshold);
    }

    db = new ODatabaseDocumentTx(dbUrl);
    if (db.exists()) {
      db.open(userName, password);
    } else {
      db.create();
    }
    createBaseSchema();

    out = estimatedEntries > 0 ? new HashMap<Long, List<Long>>(estimatedEntries) : new HashMap<Long, List<Long>>();
    in = estimatedEntries > 0 ? new HashMap<Long, List<Long>>(estimatedEntries) : new HashMap<Long, List<Long>>();

    OClass vClass = db.getMetadata().getSchema().getClass(this.vertexClass);
    int[] existingClusters = vClass.getClusterIds();
    for (int c = existingClusters.length; c <= parallel; c++) {
      vClass.addCluster(vClass.getName() + "_" + c);
    }

    clusterIds = vClass.getClusterIds();

    lastClusterPositions = new long[clusterIds.length];
    for (int i = 0; i < clusterIds.length; i++) {
      int clusterId = clusterIds[i];
      try {
        lastClusterPositions[i] = db.getStorage().getClusterById(clusterId).getLastPosition();
      } catch (Exception e) {
        throw new RuntimeException(e);
      }
    }
  }
public void begin() {
    walActive =  OGlobalConfiguration.USE_WAL.getValueAsBoolean();
    if (walActive)
      OGlobalConfiguration.USE_WAL.setValue(false);
    if (averageEdgeNumberPerNode > 0) {
      OGlobalConfiguration.RID_BAG_EMBEDDED_DEFAULT_SIZE.setValue(averageEdgeNumberPerNode);
      OGlobalConfiguration.RID_BAG_EMBEDDED_TO_SBTREEBONSAI_THRESHOLD.setValue(bonsaiThreshold);
    }

    db = new ODatabaseDocumentTx(dbUrl);
    if (db.exists()) {
      db.open(userName, password);
    } else {
      db.create();
    }
    createBaseSchema();

    out = estimatedEntries > 0 ? new HashMap<Long, List<Long>>(estimatedEntries) : new HashMap<Long, List<Long>>();
    in = estimatedEntries > 0 ? new HashMap<Long, List<Long>>(estimatedEntries) : new HashMap<Long, List<Long>>();

    OClass vClass = db.getMetadata().getSchema().getClass(this.vertexClass);
    int[] existingClusters = vClass.getClusterIds();
    for (int c = existingClusters.length; c <= parallel; c++) {
      vClass.addCluster(vClass.getName() + "_" + c);
    }

    clusterIds = vClass.getClusterIds();

    lastClusterPositions = new long[clusterIds.length];
    for (int i = 0; i < clusterIds.length; i++) {
      int clusterId = clusterIds[i];
      try {
        lastClusterPositions[i] = db.getStorage().getClusterById(clusterId).getLastPosition();
      } catch (Exception e) {
        throw new RuntimeException(e);
      }
    }
  }
public void begin ( ) { walActive = OGlobalConfiguration . USE_WAL . getValueAsBoolean ( ) ; if ( walActive ) OGlobalConfiguration . USE_WAL . setValue ( false ) ; if ( averageEdgeNumberPerNode > 0 ) { OGlobalConfiguration . RID_BAG_EMBEDDED_DEFAULT_SIZE . setValue ( averageEdgeNumberPerNode ) ; OGlobalConfiguration . RID_BAG_EMBEDDED_TO_SBTREEBONSAI_THRESHOLD . setValue ( bonsaiThreshold ) ; } db = new ODatabaseDocumentTx ( dbUrl ) ; if ( db . exists ( ) ) { db . open ( userName , password ) ; } else { db . create ( ) ; } createBaseSchema ( ) ; out = estimatedEntries > 0 ? new HashMap < Long , List < Long > > ( estimatedEntries ) : new HashMap < Long , List < Long > > ( ) ; in = estimatedEntries > 0 ? new HashMap < Long , List < Long > > ( estimatedEntries ) : new HashMap < Long , List < Long > > ( ) ; OClass vClass = db . getMetadata ( ) . getSchema ( ) . getClass ( this . vertexClass ) ; int [ ] existingClusters = vClass . getClusterIds ( ) ; for ( int c = existingClusters . length ; c <= parallel ; c ++ ) { vClass . addCluster ( vClass . getName ( ) + "_" + c ) ; } clusterIds = vClass . getClusterIds ( ) ; lastClusterPositions = new long [ clusterIds . length ] ; for ( int i = 0 ; i < clusterIds . length ; i ++ ) { int clusterId = clusterIds [ i ] ; try { lastClusterPositions [ i ] = db . getStorage ( ) . getClusterById ( clusterId ) . getLastPosition ( ) ; } catch ( Exception e ) { throw new RuntimeException ( e ) ; } } }
Creates the database (if it does not exist) and initializes batch operations. Call this once, before starting to create
vertices and edges.
Creates the database ( if it does not exist ) and initializes batch operations . Call this once before starting to create vertices and edges .