Question

In SQL API, cross partition queries can be optimised through tuning ____________

Degree of parallelism

Sequential buffer

Partition keys

Prefetching buffer

Answer 1

Partition keys

In SQL API, cross partition queries can be optimised through tuning Partition keys.

• It's acceptable to use some cross-partition queries! Almost all query procedures across partitions are available (both logical partition keys and physical partitions) Visit the SQL API's advanced capabilities, which include optimistic concurrency control for server-side conflict resolution and support for GeoJSON for geospatial data.
• Based on the value ranges of the specific partitioning keys for each partition of the data, range partitioning separates the data into a number of divisions.
• By transforming the semi-structured JSON response data into structured data that can be used with SQL, Autonomous REST Connector enables you to query API data using conventional SQL. To interact with the data successfully, you don't need to comprehend the JSON response's intricacies.
• This Cassandra API is wire protocol compatible with the original Apache Cassandra implementation. If you want to take use of the elasticity and fully managed nature of Azure Cosmos DB while still using the majority of the native Apache Cassandra features, tools, and ecosystem, you should think about using API for Cassandra.

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Answer 2

Answer:

Partition keys

Explanation:

Partition keys-In SQL API, cross partition queries can be optimizer through tuning Partition keys.

Use-It's acceptable to use some cross-partition queries! Almost all query procedures across partitions are available (both logical partition keys and physical partitions) Visit the SQL API's advanced capabilities, which include optimistic concurrency control for server-side conflict resolution and support for GeoJSON for geospatial data.

Basis-Based on the value ranges of the specific partitioning keys for each partition of the data, range partitioning separates the data into a number of divisions.

Transforming-By transforming the semi-structured JSON response data into structured data that can be used with SQL, Autonomous REST Connector enables you to query API data using conventional SQL. To interact with the data successfully, you don't need to comprehend the JSON response's intricacies.

This Cassandra API is wire protocol compatible with the original Apache Cassandra implementation. If you want to take use of the elasticity and fully managed nature of Azure Cosmos DB while still using the majority of the native Apache Cassandra features, tools, and ecosystem, you should think about using API for Cassandra.

For more refers to-

https://brainly.in/question/48779384?referrer=searchResults

https://brainly.in/question/51938517?referrer=searchResults

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