Titlebook: Cosmos DB for MongoDB Developers; Migrating to Azure C Manish Sharma Book 2018 Manish Sharma 2018 CosmosDB.GraphDB.MongoDB.DocumentDB.Table

漂浮

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So far, I have covered various aspects of Azure Cosmos DB from the usage perspective. In this chapter, I will explain the sizing aspect of Azure Cosmos DB.

典型

Gerontology

PALSY

Indexing,Now, let’s consider an example in which the field we have selected is not using an index. See Listing 4-4 for details.

運(yùn)動(dòng)吧

舊石器

Sizing,So far, I have covered various aspects of Azure Cosmos DB from the usage perspective. In this chapter, I will explain the sizing aspect of Azure Cosmos DB.

EXCEL

,Migrating to Azure Cosmos DB–MongoDB API,Now that I have covered most of the aspects of Azure Cosmos DB–MongoDB API, in this chapter, we will delve into the actual logistics of migrating an entire application to Azure Cosmos DB–MongoDB API.

浪費(fèi)物質(zhì)

,Azure Cosmos DB–MongoDB API Advanced Services,Finally, we have reached the last chapter in our journey, and I would like to share some of the important points that are applicable in day-to-day scenarios.

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Why NoSQL?,d maintain. The volume of data is often humongous and mostly unpredictable. In such cases, splitting data into multiple pieces while inserting and joining the tables during data retrieval will add excessive latency.