52 lines
1.8 KiB
JavaScript
52 lines
1.8 KiB
JavaScript
// This tests that 2dsphere indices can be ordered arbitrarily, and that the ordering
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// actually matters for lookup speed. That is, if we're looking for a non-geo key of which
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// there are not many, the index order (nongeo, geo) should be faster than (geo, nongeo)
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// for 2dsphere.
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t = db.geo_s2ordering
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t.drop();
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needle = "hari"
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// We insert lots of points in a region and look for a non-geo key which is rare.
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function makepoints(needle) {
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lat = 0
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lng = 0
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points = 50.0
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var bulk = t.initializeUnorderedBulkOp();
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for (var x = -points; x < points; x += 1) {
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for (var y = -points; y < points; y += 1) {
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tag = x.toString() + "," + y.toString();
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bulk.insert({ nongeo: tag,
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geo: {
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type: "Point",
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coordinates: [lng + x/points, lat + y/points]}});
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}
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}
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bulk.insert({ nongeo: needle, geo: { type: "Point", coordinates: [0,0] }});
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assert.writeOK(bulk.execute());
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}
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function runTest(index) {
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t.ensureIndex(index);
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var resultcount = 0;
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var cursor = t.find({nongeo: needle, geo: {$within: {$centerSphere: [[0,0], Math.PI/180.0]}}});
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var stats = cursor.explain("executionStats").executionStats;
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t.dropIndex(index);
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return stats;
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}
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makepoints(needle)
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// Indexing non-geo first should be quicker.
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fast = runTest({nongeo: 1, geo: "2dsphere"})
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slow = runTest({geo: "2dsphere", nongeo: 1})
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// The nReturned should be the same
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assert.eq(fast.nReturned, 1);
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assert.eq(slow.nReturned, 1);
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// Only one document is examined, since we use index.
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assert.eq(fast.totalDocsExamined, 1);
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assert.eq(slow.totalDocsExamined, 1);
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// The ordering actually matters for lookup speed.
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// totalKeysExamined is a direct measure of its speed.
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assert.lt(fast.totalKeysExamined, slow.totalKeysExamined);
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