Assessment of MongoDB's spatial retrieval performance

Miaoran Duan, Gang Chen
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引用次数: 7

Abstract

Based on four sample point sets of 10 thousand (100*100), 250 thousand (500*500), 1 million (1000*1000) and 4 million (2000*2000), we test the space retrieval performance of MongoDB and ArcGIS in different sample quantity condition. The test results show that, after enabling spatial index, spatial retrieve performance of MongoDB is much better than ArcGIS, and the performance gap increases with the increase of sample point set; both of two products have shown strong regularity and stability in all sample point sets under test environment. Finally, experimental results explain the characteristic and application directions of two products.
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评估MongoDB的空间检索性能
基于1万个(100*100)、25万个(500*500)、100万个(1000*1000)和400万个(2000*2000)四个样本点集,测试MongoDB和ArcGIS在不同样本数量条件下的空间检索性能。测试结果表明,启用空间索引后,MongoDB的空间检索性能明显优于ArcGIS,且性能差距随着样本点集的增加而增大;在测试环境下,两种产品在所有样本点集中都表现出较强的规律性和稳定性。最后,通过实验结果说明了两种产品的特点和应用方向。
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