/
RTree.cc
1788 lines (1481 loc) · 47.8 KB
/
RTree.cc
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// Spatial Index Library
//
// Copyright (C) 2002 Navel Ltd.
//
// This library is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 2.1 of the License, or (at your option) any later version.
//
// This library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this library; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
//
// Email:
// mhadji@gmail.com
#include <cstring>
#include <cmath>
#include <limits>
#include "../spatialindex/SpatialIndexImpl.h"
#include "Node.h"
#include "Leaf.h"
#include "Index.h"
#include "BulkLoader.h"
#include "RTree.h"
using namespace SpatialIndex::RTree;
SpatialIndex::RTree::Data::Data(uint32_t len, byte* pData, Region& r, id_type id)
: m_id(id), m_region(r), m_pData(0), m_dataLength(len)
{
if (m_dataLength > 0)
{
m_pData = new byte[m_dataLength];
memcpy(m_pData, pData, m_dataLength);
}
}
SpatialIndex::RTree::Data::~Data()
{
delete[] m_pData;
}
SpatialIndex::RTree::Data* SpatialIndex::RTree::Data::clone()
{
return new Data(m_dataLength, m_pData, m_region, m_id);
}
id_type SpatialIndex::RTree::Data::getIdentifier() const
{
return m_id;
}
void SpatialIndex::RTree::Data::getShape(IShape** out) const
{
*out = new Region(m_region);
}
void SpatialIndex::RTree::Data::getData(uint32_t& len, byte** data) const
{
len = m_dataLength;
*data = 0;
if (m_dataLength > 0)
{
*data = new byte[m_dataLength];
memcpy(*data, m_pData, m_dataLength);
}
}
uint32_t SpatialIndex::RTree::Data::getByteArraySize()
{
return
sizeof(id_type) +
sizeof(uint32_t) +
m_dataLength +
m_region.getByteArraySize();
}
void SpatialIndex::RTree::Data::loadFromByteArray(const byte* ptr)
{
memcpy(&m_id, ptr, sizeof(id_type));
ptr += sizeof(id_type);
delete[] m_pData;
m_pData = 0;
memcpy(&m_dataLength, ptr, sizeof(uint32_t));
ptr += sizeof(uint32_t);
if (m_dataLength > 0)
{
m_pData = new byte[m_dataLength];
memcpy(m_pData, ptr, m_dataLength);
ptr += m_dataLength;
}
m_region.loadFromByteArray(ptr);
}
void SpatialIndex::RTree::Data::storeToByteArray(byte** data, uint32_t& len)
{
// it is thread safe this way.
uint32_t regionsize;
byte* regiondata = 0;
m_region.storeToByteArray(®iondata, regionsize);
len = sizeof(id_type) + sizeof(uint32_t) + m_dataLength + regionsize;
*data = new byte[len];
byte* ptr = *data;
memcpy(ptr, &m_id, sizeof(id_type));
ptr += sizeof(id_type);
memcpy(ptr, &m_dataLength, sizeof(uint32_t));
ptr += sizeof(uint32_t);
if (m_dataLength > 0)
{
memcpy(ptr, m_pData, m_dataLength);
ptr += m_dataLength;
}
memcpy(ptr, regiondata, regionsize);
delete[] regiondata;
// ptr += regionsize;
}
SpatialIndex::ISpatialIndex* SpatialIndex::RTree::returnRTree(SpatialIndex::IStorageManager& sm, Tools::PropertySet& ps)
{
SpatialIndex::ISpatialIndex* si = new SpatialIndex::RTree::RTree(sm, ps);
return si;
}
SpatialIndex::ISpatialIndex* SpatialIndex::RTree::createNewRTree(
SpatialIndex::IStorageManager& sm,
double fillFactor,
uint32_t indexCapacity,
uint32_t leafCapacity,
uint32_t dimension,
RTreeVariant rv,
id_type& indexIdentifier)
{
Tools::Variant var;
Tools::PropertySet ps;
var.m_varType = Tools::VT_DOUBLE;
var.m_val.dblVal = fillFactor;
ps.setProperty("FillFactor", var);
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = indexCapacity;
ps.setProperty("IndexCapacity", var);
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = leafCapacity;
ps.setProperty("LeafCapacity", var);
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = dimension;
ps.setProperty("Dimension", var);
var.m_varType = Tools::VT_LONG;
var.m_val.lVal = rv;
ps.setProperty("TreeVariant", var);
ISpatialIndex* ret = returnRTree(sm, ps);
var.m_varType = Tools::VT_LONGLONG;
var = ps.getProperty("IndexIdentifier");
indexIdentifier = var.m_val.llVal;
return ret;
}
SpatialIndex::ISpatialIndex* SpatialIndex::RTree::createAndBulkLoadNewRTree(
BulkLoadMethod m,
IDataStream& stream,
SpatialIndex::IStorageManager& sm,
double fillFactor,
uint32_t indexCapacity,
uint32_t leafCapacity,
uint32_t dimension,
SpatialIndex::RTree::RTreeVariant rv,
id_type& indexIdentifier)
{
SpatialIndex::ISpatialIndex* tree = createNewRTree(sm, fillFactor, indexCapacity, leafCapacity, dimension, rv, indexIdentifier);
uint32_t bindex = static_cast<uint32_t>(std::floor(static_cast<double>(indexCapacity * fillFactor)));
uint32_t bleaf = static_cast<uint32_t>(std::floor(static_cast<double>(leafCapacity * fillFactor)));
SpatialIndex::RTree::BulkLoader bl;
switch (m)
{
case BLM_STR:
bl.bulkLoadUsingSTR(static_cast<RTree*>(tree), stream, bindex, bleaf, 10000, 100);
break;
default:
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Unknown bulk load method.");
break;
}
return tree;
}
SpatialIndex::ISpatialIndex* SpatialIndex::RTree::createAndBulkLoadNewRTree(
BulkLoadMethod m,
IDataStream& stream,
SpatialIndex::IStorageManager& sm,
Tools::PropertySet& ps,
id_type& indexIdentifier)
{
Tools::Variant var;
RTreeVariant rv;
double fillFactor;
uint32_t indexCapacity, leafCapacity, dimension, pageSize, numberOfPages;
// tree variant
var = ps.getProperty("TreeVariant");
if (var.m_varType != Tools::VT_EMPTY)
{
if (
var.m_varType != Tools::VT_LONG ||
(var.m_val.lVal != RV_LINEAR &&
var.m_val.lVal != RV_QUADRATIC &&
var.m_val.lVal != RV_RSTAR))
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property TreeVariant must be Tools::VT_LONG and of RTreeVariant type");
rv = static_cast<RTreeVariant>(var.m_val.lVal);
}
// fill factor
// it cannot be larger than 50%, since linear and quadratic split algorithms
// require assigning to both nodes the same number of entries.
var = ps.getProperty("FillFactor");
if (var.m_varType != Tools::VT_EMPTY)
{
if (var.m_varType != Tools::VT_DOUBLE)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property FillFactor was not of type Tools::VT_DOUBLE");
if (var.m_val.dblVal <= 0.0)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property FillFactor was less than 0.0");
if (((rv == RV_LINEAR || rv == RV_QUADRATIC) && var.m_val.dblVal > 0.5))
throw Tools::IllegalArgumentException( "createAndBulkLoadNewRTree: Property FillFactor must be in range (0.0, 0.5) for LINEAR or QUADRATIC index types");
if ( var.m_val.dblVal >= 1.0)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property FillFactor must be in range (0.0, 1.0) for RSTAR index type");
fillFactor = var.m_val.dblVal;
}
// index capacity
var = ps.getProperty("IndexCapacity");
if (var.m_varType != Tools::VT_EMPTY)
{
if (var.m_varType != Tools::VT_ULONG || var.m_val.ulVal < 4)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property IndexCapacity must be Tools::VT_ULONG and >= 4");
indexCapacity = var.m_val.ulVal;
}
// leaf capacity
var = ps.getProperty("LeafCapacity");
if (var.m_varType != Tools::VT_EMPTY)
{
if (var.m_varType != Tools::VT_ULONG || var.m_val.ulVal < 4)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property LeafCapacity must be Tools::VT_ULONG and >= 4");
leafCapacity = var.m_val.ulVal;
}
// dimension
var = ps.getProperty("Dimension");
if (var.m_varType != Tools::VT_EMPTY)
{
if (var.m_varType != Tools::VT_ULONG)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property Dimension must be Tools::VT_ULONG");
if (var.m_val.ulVal <= 1)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property Dimension must be greater than 1");
dimension = var.m_val.ulVal;
}
// page size
var = ps.getProperty("ExternalSortBufferPageSize");
if (var.m_varType != Tools::VT_EMPTY)
{
if (var.m_varType != Tools::VT_ULONG)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property ExternalSortBufferPageSize must be Tools::VT_ULONG");
if (var.m_val.ulVal <= 1)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property ExternalSortBufferPageSize must be greater than 1");
pageSize = var.m_val.ulVal;
}
// number of pages
var = ps.getProperty("ExternalSortBufferTotalPages");
if (var.m_varType != Tools::VT_EMPTY)
{
if (var.m_varType != Tools::VT_ULONG)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property ExternalSortBufferTotalPages must be Tools::VT_ULONG");
if (var.m_val.ulVal <= 1)
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Property ExternalSortBufferTotalPages must be greater than 1");
numberOfPages = var.m_val.ulVal;
}
SpatialIndex::ISpatialIndex* tree = createNewRTree(sm, fillFactor, indexCapacity, leafCapacity, dimension, rv, indexIdentifier);
uint32_t bindex = static_cast<uint32_t>(std::floor(static_cast<double>(indexCapacity * fillFactor)));
uint32_t bleaf = static_cast<uint32_t>(std::floor(static_cast<double>(leafCapacity * fillFactor)));
SpatialIndex::RTree::BulkLoader bl;
switch (m)
{
case BLM_STR:
bl.bulkLoadUsingSTR(static_cast<RTree*>(tree), stream, bindex, bleaf, pageSize, numberOfPages);
break;
default:
throw Tools::IllegalArgumentException("createAndBulkLoadNewRTree: Unknown bulk load method.");
break;
}
return tree;
}
SpatialIndex::ISpatialIndex* SpatialIndex::RTree::loadRTree(IStorageManager& sm, id_type indexIdentifier)
{
Tools::Variant var;
Tools::PropertySet ps;
var.m_varType = Tools::VT_LONGLONG;
var.m_val.llVal = indexIdentifier;
ps.setProperty("IndexIdentifier", var);
return returnRTree(sm, ps);
}
SpatialIndex::RTree::RTree::RTree(IStorageManager& sm, Tools::PropertySet& ps) :
m_pStorageManager(&sm),
m_rootID(StorageManager::NewPage),
m_headerID(StorageManager::NewPage),
m_treeVariant(RV_RSTAR),
m_fillFactor(0.7),
m_indexCapacity(100),
m_leafCapacity(100),
m_nearMinimumOverlapFactor(32),
m_splitDistributionFactor(0.4),
m_reinsertFactor(0.3),
m_dimension(2),
m_bTightMBRs(true),
m_pointPool(500),
m_regionPool(1000),
m_indexPool(100),
m_leafPool(100)
{
#ifdef HAVE_PTHREAD_H
pthread_rwlock_init(&m_rwLock, NULL);
#else
m_rwLock = false;
#endif
Tools::Variant var = ps.getProperty("IndexIdentifier");
if (var.m_varType != Tools::VT_EMPTY)
{
if (var.m_varType == Tools::VT_LONGLONG) m_headerID = var.m_val.llVal;
else if (var.m_varType == Tools::VT_LONG) m_headerID = var.m_val.lVal;
// for backward compatibility only.
else throw Tools::IllegalArgumentException("RTree: Property IndexIdentifier must be Tools::VT_LONGLONG");
initOld(ps);
}
else
{
initNew(ps);
var.m_varType = Tools::VT_LONGLONG;
var.m_val.llVal = m_headerID;
ps.setProperty("IndexIdentifier", var);
}
}
SpatialIndex::RTree::RTree::~RTree()
{
#ifdef HAVE_PTHREAD_H
pthread_rwlock_destroy(&m_rwLock);
#endif
storeHeader();
for (int i=0; i<m_vec_pMBR.size(); i++) {
delete m_vec_pMBR.at(i);
}
}
//
// ISpatialIndex interface
//
void SpatialIndex::RTree::RTree::insertData(uint32_t len, const byte* pData, const IShape& shape, id_type id)
{
if (shape.getDimension() != m_dimension) throw Tools::IllegalArgumentException("insertData: Shape has the wrong number of dimensions.");
#ifdef HAVE_PTHREAD_H
Tools::ExclusiveLock lock(&m_rwLock);
#else
if (m_rwLock == false) m_rwLock = true;
else throw Tools::ResourceLockedException("insertData: cannot acquire an exclusive lock");
#endif
try
{
// convert the shape into a Region (R-Trees index regions only; i.e., approximations of the shapes).
RegionPtr mbr = m_regionPool.acquire();
shape.getMBR(*mbr);
byte* buffer = 0;
if (len > 0)
{
buffer = new byte[len];
memcpy(buffer, pData, len);
}
insertData_impl(len, buffer, *mbr, id);
// the buffer is stored in the tree. Do not delete here.
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
}
catch (...)
{
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
throw;
}
}
bool SpatialIndex::RTree::RTree::deleteData(const IShape& shape, id_type id)
{
if (shape.getDimension() != m_dimension) throw Tools::IllegalArgumentException("deleteData: Shape has the wrong number of dimensions.");
#ifdef HAVE_PTHREAD_H
Tools::ExclusiveLock lock(&m_rwLock);
#else
if (m_rwLock == false) m_rwLock = true;
else throw Tools::ResourceLockedException("deleteData: cannot acquire an exclusive lock");
#endif
try
{
RegionPtr mbr = m_regionPool.acquire();
shape.getMBR(*mbr);
bool ret = deleteData_impl(*mbr, id);
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
return ret;
}
catch (...)
{
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
throw;
}
}
void SpatialIndex::RTree::RTree::containsWhatQuery(const IShape& query, IVisitor& v)
{
if (query.getDimension() != m_dimension) throw Tools::IllegalArgumentException("containsWhatQuery: Shape has the wrong number of dimensions.");
rangeQuery(ContainmentQuery, query, v);
}
void SpatialIndex::RTree::RTree::intersectsWithQuery(const IShape& query, IVisitor& v)
{
if (query.getDimension() != m_dimension) throw Tools::IllegalArgumentException("intersectsWithQuery: Shape has the wrong number of dimensions.");
rangeQuery(IntersectionQuery, query, v);
}
void SpatialIndex::RTree::RTree::pointLocationQuery(const Point& query, IVisitor& v)
{
if (query.m_dimension != m_dimension) throw Tools::IllegalArgumentException("pointLocationQuery: Shape has the wrong number of dimensions.");
Region r(query, query);
rangeQuery(IntersectionQuery, r, v);
}
void SpatialIndex::RTree::RTree::nearestNeighborQuery(uint32_t k, const IShape& query, IVisitor& v, INearestNeighborComparator& nnc)
{
if (query.getDimension() != m_dimension) throw Tools::IllegalArgumentException("nearestNeighborQuery: Shape has the wrong number of dimensions.");
#ifdef HAVE_PTHREAD_H
Tools::SharedLock lock(&m_rwLock);
#else
if (m_rwLock == false) m_rwLock = true;
else throw Tools::ResourceLockedException("nearestNeighborQuery: cannot acquire a shared lock");
#endif
try
{
std::priority_queue<NNEntry*, std::vector<NNEntry*>, NNEntry::ascending> queue;
queue.push(new NNEntry(m_rootID, 0, 0.0));
uint32_t count = 0;
double knearest = 0.0;
int counter = 0;
while (! queue.empty())
{
NNEntry* pFirst = queue.top();
// report all nearest neighbors with equal greatest distances.
// (neighbors can be more than k, if many happen to have the same greatest distance).
if (count >= k && pFirst->m_minDist > knearest) break;
queue.pop();
if (pFirst->m_pEntry == 0)
{
// n is a leaf or an index.
NodePtr n = readNode(pFirst->m_id);
v.setDistance(3.0);
v.visitNode(*n);
for (uint32_t cChild = 0; cChild < n->m_children; ++cChild)
{
if (n->m_level == 0)
{
Data* e = new Data(n->m_pDataLength[cChild], n->m_pData[cChild], *(n->m_ptrMBR[cChild]), n->m_pIdentifier[cChild]);
// we need to compare the query with the actual data entry here, so we call the
// appropriate getMinimumDistance method of NearestNeighborComparator.
queue.push(new NNEntry(n->m_pIdentifier[cChild], e, nnc.getMinimumDistance(query, *e)));
}
else
{
queue.push(new NNEntry(n->m_pIdentifier[cChild], 0, nnc.getMinimumDistance(query, *(n->m_ptrMBR[cChild]))));
}
}
}
else
{
v.visitData(*(static_cast<IData*>(pFirst->m_pEntry)));
++(m_stats.m_u64QueryResults);
++count;
knearest = pFirst->m_minDist;
v.setDistance(knearest);
m_point_id = pFirst->m_pEntry->getIdentifier();
delete pFirst->m_pEntry;
}
delete pFirst;
}
while (! queue.empty())
{
NNEntry* e = queue.top(); queue.pop();
if (e->m_pEntry != 0) delete e->m_pEntry;
delete e;
}
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
}
catch (...)
{
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
throw;
}
}
void SpatialIndex::RTree::RTree::nearestNeighborQuery(uint32_t k, const IShape& query, IVisitor& v)
{
if (query.getDimension() != m_dimension) throw Tools::IllegalArgumentException("nearestNeighborQuery: Shape has the wrong number of dimensions.");
NNComparator nnc;
nearestNeighborQuery(k, query, v, nnc);
}
/*
* Mode 0: Actual Hausdorff distance
* Mode 1: Lower bound computed from Root MBRs of the object and the query rtree.
* Mode 2: Lower bound computed from immediate children of the roots.
* Mode 3: Just Mindist.
*/
double SpatialIndex::RTree::RTree::hausdorff(ISpatialIndex& query, uint64_t& id1, uint64_t& id2, int mode, IVisitor& v)
{
double retDist;
RTree *queryRTreePtr = dynamic_cast<RTree*>(&query);
//std::cout << *queryRTreePtr << std::endl;
if (mode==0) {
retDist = this->hausdorff(query, id1, id2, v);
} else if (mode==1) {
NodePtr root1 = readNode(this->m_rootID);
NodePtr root2 = queryRTreePtr->readNode(queryRTreePtr->m_rootID);
retDist = root1->m_nodeMBR.getHausDistLB(root2->m_nodeMBR);
} else if (mode==2) {
double max = std::numeric_limits<double>::min();
Region r = Region(2);
for (int i=this->m_vec_pMBR.size()-1; i>=0; i--) {
this->m_vec_pMBR[i]->getMBR(r);
max = std::max(max, r.getHausDistLB(queryRTreePtr->m_vec_pMBR,max));
}
retDist = max;
} else if (mode==3) {
NodePtr root1 = readNode(this->m_rootID);
NodePtr root2 = queryRTreePtr->readNode(queryRTreePtr->m_rootID);
retDist = root1->m_nodeMBR.getMinimumDistance(root2->m_nodeMBR);
}
return retDist;
}
double SpatialIndex::RTree::RTree::hausdorff(ISpatialIndex& query, uint64_t& id1, uint64_t& id2, IVisitor& v)
{
#ifdef HAVE_PTHREAD_H
Tools::SharedLock lock(&m_rwLock);
#else
if (m_rwLock == false) m_rwLock = true;
else throw Tools::ResourceLockedException("nearestNeighborQuery: cannot acquire a shared lock");
#endif
try {
// COMPUTE HAUSDORFF HERE
std::queue<id_type> node_queue;
float hausdorff = 0.0;
node_queue.push(m_rootID);
while (! node_queue.empty())
{
id_type top = node_queue.front();
node_queue.pop();
NodePtr n = readNode(top);
for (uint32_t cChild = 0; cChild < n->m_children; ++cChild)
{
if (n->m_level == 0)
{
Point p = Point(n->m_ptrMBR[cChild]->m_pLow,2);
query.nearestNeighborQuery(1, p, v);
if (v.getDistance() > hausdorff) {
hausdorff = v.getDistance();
id1 = n->m_pIdentifier[cChild];
id2 = query.m_point_id;
}
}
else {
node_queue.push(n->m_pIdentifier[cChild]);
}
}
}
return hausdorff;
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
}
catch (...)
{
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
throw;
}
}
/*
* Select at least "num" MBRs that cover the whole point set
* but have a small total area
*
*/
void SpatialIndex::RTree::RTree::selectMBRs(const int num) {
std::priority_queue<NNEntry*, std::vector<NNEntry*>, NNEntry::ascending> queue;
if (num == m_vec_pMBR.size()) return;
for (int i=0; i<m_vec_pMBR.size(); i++) {
delete m_vec_pMBR.at(i);
}
m_vec_pMBR.clear();
NodePtr root = readNode(this->m_rootID);
if (root->m_level == 0) {
IShape *pShape;
root->getShape(&pShape);
Region *pMBR = new Region(2);
pShape->getMBR(*pMBR);
m_vec_pMBR.push_back(pMBR);
delete pShape;
return;
} else {
for (int i=0; i<root->getChildrenCount(); i++) {
double area = root->m_ptrMBR[i]->getArea();
Data* e = new Data(root->m_pDataLength[i],
root->m_pData[i],
*(root->m_ptrMBR[i]),
root->m_pIdentifier[i]);
NNEntry *pEntry = new NNEntry(root->m_pIdentifier[i], e, -area);
queue.push(pEntry);
}
}
uint32_t count = 0;
double key = 0.0;
int counter = 0;
while (! queue.empty() && queue.size() + m_vec_pMBR.size() < num)
{
NNEntry* pFirst = queue.top();
queue.pop();
NodePtr n = readNode(pFirst->m_id);
if (n->m_level > 0) {
for (uint32_t cChild = 0; cChild < n->m_children; ++cChild)
{
double area = n->m_ptrMBR[cChild]->getArea();
Data* e = new Data(n->m_pDataLength[cChild],
n->m_pData[cChild],
*(n->m_ptrMBR[cChild]),
n->m_pIdentifier[cChild]);
NNEntry *pEntry = new NNEntry(n->m_pIdentifier[cChild], e, -area);
queue.push(pEntry);
}
} else {
for (uint32_t cChild = 0; cChild < n->m_children; ++cChild)
{
//double area = n->m_ptrMBR[cChild]->getArea();
//Data* e = new Data(n->m_pDataLength[cChild],
//n->m_pData[cChild],
//*(n->m_ptrMBR[cChild]),
//n->m_pIdentifier[cChild]);
Region *pMBR = new Region(*(n->m_ptrMBR[cChild]));
m_vec_pMBR.push_back(pMBR);
//std::cout << "Adding Point ";
//std::cout << pMBR->m_pLow[0] << " " << pMBR->m_pLow[1] << " ";
//std::cout << pMBR->m_pHigh[0] << " " << pMBR->m_pHigh[1] << std::endl;
//NNEntry *pEntry = new NNEntry(n->m_pIdentifier[cChild], e, -area);
//queue.push(pEntry);
}
//IShape *pShape;
//n->getShape(&pShape);
//Region *pMBR = new Region(2);
//pShape->getMBR(*pMBR);
//m_vec_pMBR.push_back(pMBR);
//delete pShape;
}
if (pFirst->m_pEntry != NULL) delete pFirst->m_pEntry;
delete pFirst;
}
while (! queue.empty())
{
NNEntry* e = queue.top(); queue.pop();
if (e->m_pEntry != 0) {
IShape *pShape;
e->m_pEntry->getShape(&pShape);
Region *pMBR = new Region(2);
pShape->getMBR(*pMBR);
m_vec_pMBR.push_back(pMBR);
delete pShape;
delete e->m_pEntry;
}
delete e;
}
}
void SpatialIndex::RTree::RTree::clearMBRs() {
for (int i=0; i<m_vec_pMBR.size(); i++) {
delete m_vec_pMBR.at(i);
}
m_vec_pMBR.clear();
}
void SpatialIndex::RTree::RTree::selfJoinQuery(const IShape& query, IVisitor& v)
{
if (query.getDimension() != m_dimension)
throw Tools::IllegalArgumentException("selfJoinQuery: Shape has the wrong number of dimensions.");
#ifdef HAVE_PTHREAD_H
Tools::SharedLock lock(&m_rwLock);
#else
if (m_rwLock == false) m_rwLock = true;
else throw Tools::ResourceLockedException("selfJoinQuery: cannot acquire a shared lock");
#endif
try
{
RegionPtr mbr = m_regionPool.acquire();
query.getMBR(*mbr);
selfJoinQuery(m_rootID, m_rootID, *mbr, v);
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
}
catch (...)
{
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
throw;
}
}
void SpatialIndex::RTree::RTree::queryStrategy(IQueryStrategy& qs)
{
#ifdef HAVE_PTHREAD_H
Tools::SharedLock lock(&m_rwLock);
#else
if (m_rwLock == false) m_rwLock = true;
else throw Tools::ResourceLockedException("queryStrategy: cannot acquire a shared lock");
#endif
id_type next = m_rootID;
bool hasNext = true;
try
{
while (hasNext)
{
NodePtr n = readNode(next);
qs.getNextEntry(*n, next, hasNext);
}
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
}
catch (...)
{
#ifndef HAVE_PTHREAD_H
m_rwLock = false;
#endif
throw;
}
}
void SpatialIndex::RTree::RTree::getIndexProperties(Tools::PropertySet& out) const
{
Tools::Variant var;
// dimension
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = m_dimension;
out.setProperty("Dimension", var);
// index capacity
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = m_indexCapacity;
out.setProperty("IndexCapacity", var);
// leaf capacity
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = m_leafCapacity;
out.setProperty("LeafCapacity", var);
// R-tree variant
var.m_varType = Tools::VT_LONG;
var.m_val.lVal = m_treeVariant;
out.setProperty("TreeVariant", var);
// fill factor
var.m_varType = Tools::VT_DOUBLE;
var.m_val.dblVal = m_fillFactor;
out.setProperty("FillFactor", var);
// near minimum overlap factor
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = m_nearMinimumOverlapFactor;
out.setProperty("NearMinimumOverlapFactor", var);
// split distribution factor
var.m_varType = Tools::VT_DOUBLE;
var.m_val.dblVal = m_splitDistributionFactor;
out.setProperty("SplitDistributionFactor", var);
// reinsert factor
var.m_varType = Tools::VT_DOUBLE;
var.m_val.dblVal = m_reinsertFactor;
out.setProperty("ReinsertFactor", var);
// tight MBRs
var.m_varType = Tools::VT_BOOL;
var.m_val.blVal = m_bTightMBRs;
out.setProperty("EnsureTightMBRs", var);
// index pool capacity
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = m_indexPool.getCapacity();
out.setProperty("IndexPoolCapacity", var);
// leaf pool capacity
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = m_leafPool.getCapacity();
out.setProperty("LeafPoolCapacity", var);
// region pool capacity
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = m_regionPool.getCapacity();
out.setProperty("RegionPoolCapacity", var);
// point pool capacity
var.m_varType = Tools::VT_ULONG;
var.m_val.ulVal = m_pointPool.getCapacity();
out.setProperty("PointPoolCapacity", var);
}
void SpatialIndex::RTree::RTree::addCommand(ICommand* pCommand, CommandType ct)
{
switch (ct)
{
case CT_NODEREAD:
m_readNodeCommands.push_back(Tools::SmartPointer<ICommand>(pCommand));
break;
case CT_NODEWRITE:
m_writeNodeCommands.push_back(Tools::SmartPointer<ICommand>(pCommand));
break;
case CT_NODEDELETE:
m_deleteNodeCommands.push_back(Tools::SmartPointer<ICommand>(pCommand));
break;
}
}
bool SpatialIndex::RTree::RTree::isIndexValid()
{
bool ret = true;
std::stack<ValidateEntry> st;
NodePtr root = readNode(m_rootID);
if (root->m_level != m_stats.m_u32TreeHeight - 1)
{
std::cerr << "Invalid tree height." << std::endl;
return false;
}
std::map<uint32_t, uint32_t> nodesInLevel;
nodesInLevel.insert(std::pair<uint32_t, uint32_t>(root->m_level, 1));
ValidateEntry e(root->m_nodeMBR, root);
st.push(e);
while (! st.empty())
{
e = st.top(); st.pop();
Region tmpRegion;
tmpRegion = m_infiniteRegion;
for (uint32_t cDim = 0; cDim < tmpRegion.m_dimension; ++cDim)
{
tmpRegion.m_pLow[cDim] = std::numeric_limits<double>::max();
tmpRegion.m_pHigh[cDim] = -std::numeric_limits<double>::max();
for (uint32_t cChild = 0; cChild < e.m_pNode->m_children; ++cChild)
{