use of org.h2.mvstore.rtree.MVRTreeMap in project h2database by h2database.
the class TestMVRTree method testRemoveAll.
private void testRemoveAll() {
String fileName = getBaseDir() + "/" + getTestName();
FileUtils.delete(fileName);
MVStore s;
s = new MVStore.Builder().fileName(fileName).pageSplitSize(100).open();
MVRTreeMap<String> map = s.openMap("data", new MVRTreeMap.Builder<String>());
Random r = new Random(1);
for (int i = 0; i < 1000; i++) {
float x = r.nextFloat() * 50, y = r.nextFloat() * 50;
SpatialKey k = new SpatialKey(i % 100, x, x + 2, y, y + 1);
map.put(k, "i:" + i);
}
s.commit();
map.clear();
s.close();
}
use of org.h2.mvstore.rtree.MVRTreeMap in project h2database by h2database.
the class TestMVRTree method testRandomFind.
private void testRandomFind() {
MVStore s = openStore(null);
MVRTreeMap<Integer> m = s.openMap("data", new MVRTreeMap.Builder<Integer>());
int max = 100;
for (int x = 0; x < max; x++) {
for (int y = 0; y < max; y++) {
int id = x * max + y;
SpatialKey k = new SpatialKey(id, x, x, y, y);
m.put(k, id);
}
}
Random rand = new Random(1);
int operationCount = 1000;
for (int i = 0; i < operationCount; i++) {
int x1 = rand.nextInt(max), y1 = rand.nextInt(10);
int x2 = rand.nextInt(10), y2 = rand.nextInt(10);
int intersecting = Math.max(0, x2 - x1 + 1) * Math.max(0, y2 - y1 + 1);
int contained = Math.max(0, x2 - x1 - 1) * Math.max(0, y2 - y1 - 1);
SpatialKey k = new SpatialKey(0, x1, x2, y1, y2);
Iterator<SpatialKey> it = m.findContainedKeys(k);
int count = 0;
while (it.hasNext()) {
SpatialKey t = it.next();
assertTrue(t.min(0) > x1);
assertTrue(t.min(1) > y1);
assertTrue(t.max(0) < x2);
assertTrue(t.max(1) < y2);
count++;
}
assertEquals(contained, count);
it = m.findIntersectingKeys(k);
count = 0;
while (it.hasNext()) {
SpatialKey t = it.next();
assertTrue(t.min(0) >= x1);
assertTrue(t.min(1) >= y1);
assertTrue(t.max(0) <= x2);
assertTrue(t.max(1) <= y2);
count++;
}
assertEquals(intersecting, count);
}
}
use of org.h2.mvstore.rtree.MVRTreeMap in project h2database by h2database.
the class TestMVRTree method testMany.
private void testMany() {
String fileName = getBaseDir() + "/" + getTestName();
FileUtils.delete(fileName);
MVStore s;
s = openStore(fileName);
// s.setMaxPageSize(50);
MVRTreeMap<String> r = s.openMap("data", new MVRTreeMap.Builder<String>().dimensions(2).valueType(StringDataType.INSTANCE));
// r.setQuadraticSplit(true);
Random rand = new Random(1);
int len = 1000;
// prof.startCollecting();
for (int i = 0; i < len; i++) {
float x = rand.nextFloat(), y = rand.nextFloat();
float p = (float) (rand.nextFloat() * 0.000001);
SpatialKey k = new SpatialKey(i, x - p, x + p, y - p, y + p);
r.add(k, "" + i);
if (i > 0 && (i % len / 10) == 0) {
s.commit();
}
if (i > 0 && (i % 10000) == 0) {
render(r, getBaseDir() + "/test.png");
}
}
s.close();
s = openStore(fileName);
r = s.openMap("data", new MVRTreeMap.Builder<String>().dimensions(2).valueType(StringDataType.INSTANCE));
rand = new Random(1);
for (int i = 0; i < len; i++) {
float x = rand.nextFloat(), y = rand.nextFloat();
float p = (float) (rand.nextFloat() * 0.000001);
SpatialKey k = new SpatialKey(i, x - p, x + p, y - p, y + p);
assertEquals("" + i, r.get(k));
}
assertEquals(len, r.size());
int count = 0;
for (SpatialKey k : r.keySet()) {
assertNotNull(r.get(k));
count++;
}
assertEquals(len, count);
rand = new Random(1);
for (int i = 0; i < len; i++) {
float x = rand.nextFloat(), y = rand.nextFloat();
float p = (float) (rand.nextFloat() * 0.000001);
SpatialKey k = new SpatialKey(i, x - p, x + p, y - p, y + p);
r.remove(k);
}
assertEquals(0, r.size());
s.close();
}
use of org.h2.mvstore.rtree.MVRTreeMap in project h2database by h2database.
the class TestMVRTree method render.
private static void render(MVRTreeMap<String> r, String fileName) {
int width = 1000, height = 500;
BufferedImage img = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
Graphics2D g2d = (Graphics2D) img.getGraphics();
g2d.setBackground(Color.WHITE);
g2d.setColor(Color.WHITE);
g2d.fillRect(0, 0, width, height);
g2d.setComposite(AlphaComposite.SrcOver.derive(0.5f));
g2d.setRenderingHint(RenderingHints.KEY_ANTIALIASING, RenderingHints.VALUE_ANTIALIAS_ON);
g2d.setColor(Color.BLACK);
SpatialKey b = new SpatialKey(0, Float.MAX_VALUE, Float.MIN_VALUE, Float.MAX_VALUE, Float.MIN_VALUE);
for (SpatialKey x : r.keySet()) {
b.setMin(0, Math.min(b.min(0), x.min(0)));
b.setMin(1, Math.min(b.min(1), x.min(1)));
b.setMax(0, Math.max(b.max(0), x.max(0)));
b.setMax(1, Math.max(b.max(1), x.max(1)));
}
// System.out.println(b);
for (SpatialKey x : r.keySet()) {
int[] rect = scale(b, x, width, height);
g2d.drawRect(rect[0], rect[1], rect[2] - rect[0], rect[3] - rect[1]);
String s = r.get(x);
g2d.drawChars(s.toCharArray(), 0, s.length(), rect[0], rect[1] - 4);
}
g2d.setColor(Color.red);
ArrayList<SpatialKey> list = New.arrayList();
r.addNodeKeys(list, r.getRoot());
for (SpatialKey x : list) {
int[] rect = scale(b, x, width, height);
g2d.drawRect(rect[0], rect[1], rect[2] - rect[0], rect[3] - rect[1]);
}
ImageWriter out = ImageIO.getImageWritersByFormatName("png").next();
try {
out.setOutput(new FileImageOutputStream(new File(fileName)));
out.write(img);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
use of org.h2.mvstore.rtree.MVRTreeMap in project h2database by h2database.
the class TestMVRTree method testSimple.
private void testSimple() {
String fileName = getBaseDir() + "/" + getTestName();
FileUtils.delete(fileName);
MVStore s;
s = openStore(fileName);
MVRTreeMap<String> r = s.openMap("data", new MVRTreeMap.Builder<String>().dimensions(2).valueType(StringDataType.INSTANCE));
add(r, "Bern", key(0, 46.57, 7.27, 124381));
add(r, "Basel", key(1, 47.34, 7.36, 170903));
add(r, "Zurich", key(2, 47.22, 8.33, 376008));
add(r, "Lucerne", key(3, 47.03, 8.18, 77491));
add(r, "Geneva", key(4, 46.12, 6.09, 191803));
add(r, "Lausanne", key(5, 46.31, 6.38, 127821));
add(r, "Winterthur", key(6, 47.30, 8.45, 102966));
add(r, "St. Gallen", key(7, 47.25, 9.22, 73500));
add(r, "Biel/Bienne", key(8, 47.08, 7.15, 51203));
add(r, "Lugano", key(9, 46.00, 8.57, 54667));
add(r, "Thun", key(10, 46.46, 7.38, 42623));
add(r, "Bellinzona", key(11, 46.12, 9.01, 17373));
add(r, "Chur", key(12, 46.51, 9.32, 33756));
// render(r, getBaseDir() + "/test.png");
ArrayList<String> list = New.arrayList();
for (SpatialKey x : r.keySet()) {
list.add(r.get(x));
}
Collections.sort(list);
assertEquals("[Basel, Bellinzona, Bern, Biel/Bienne, Chur, Geneva, " + "Lausanne, Lucerne, Lugano, St. Gallen, Thun, Winterthur, Zurich]", list.toString());
SpatialKey k;
// intersection
list.clear();
k = key(0, 47.34, 7.36, 0);
for (Iterator<SpatialKey> it = r.findIntersectingKeys(k); it.hasNext(); ) {
list.add(r.get(it.next()));
}
Collections.sort(list);
assertEquals("[Basel]", list.toString());
// contains
list.clear();
k = key(0, 47.34, 7.36, 0);
for (Iterator<SpatialKey> it = r.findContainedKeys(k); it.hasNext(); ) {
list.add(r.get(it.next()));
}
assertEquals(0, list.size());
k = key(0, 47.34, 7.36, 171000);
for (Iterator<SpatialKey> it = r.findContainedKeys(k); it.hasNext(); ) {
list.add(r.get(it.next()));
}
assertEquals("[Basel]", list.toString());
s.close();
}
Aggregations