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Towards Performance Evaluation of Cloudant for Customer Representative Workloads

机译:面向客户代表工作量的Cloudant绩效评估

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NoSQL Database Management Systems (DBMS) have increased in prominence and market share in the last few years. IBM Cloudant is one of the well-known enterprise NoSQL DBMS which has been offered in both cloud and also as an onpremise standalone product (i.e. Cloudant Local). Cloudant has a large number of customers such as Samsung, Adobe, DHL, etc. In this paper, we will demonstrate how Cloudant can maintain its high throughput for customer-representative workloads which have a mix of create/read/update/delete operations and also queries that contain views. Moreover, we also show how we can dynamically add/remove database nodes to/from the cluster without bringing down the working nodes. We also demonstrate how we have improved the performance for queries with views by changing a native library.
机译:在过去的几年中,NoSQL数据库管理系统(DBMS)的知名度和市场份额都有所增长。 IBM Cloudant是著名的企业NoSQL DBMS之一,它已在云中以及作为本地独立产品(即Cloudant Local)提供。 Cloudant有大量客户,例如Samsung,Adobe,DHL等。在本文中,我们将展示Cloudant如何为创建/读取/更新/删除操作以及还包含视图的查询。此外,我们还展示了如何在不关闭工作节点的情况下向集群动态添加数据库节点/从集群删除数据库节点。我们还演示了如何通过更改本机库来提高带视图查询的性能。

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