JSON

SQLServerCentral Article

How to Flatten JSON in Azure Data Factory?

  • Article

When you work with ETL and the source file is JSON, many documents may get nested attributes in the JSON file. Your requirements will often dictate that you flatten those nested attributes. There are many ways you can flatten the JSON hierarchy, however; I am going to share my experiences with Azure Data Factory (ADF) […]

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2021-09-17

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SQLServerCentral Article

Reading and Writing your Database's Documentation using JSON

  • Article

One of the problems to which I keep returning is finding the best way to read and apply documentation for databases. As part of a series of articles I'm doing for Redgate's Product Learning, I've been demonstrating how to maintain a single source of database documentation, in JSON, and then add and update the object […]

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2021-06-28 (first published: )

3,611 reads

SQLServerCentral Article

NoSqlOnSql

  • Article

Introduction NoSqlOnSql is a strict syntactical superset of SQL; it adds NoSQL document-oriented capabilities to the SQL language. For this, it uses uses JSON-like documents, integrating them into the normal flow of SQL statements. NoSqlOnSql is based on augmenting a SQL database to support NoSQL features without any kernel changes. In this sense it is […]

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2020-11-02

4,915 reads

External Article

Transferring Data with JSON in SQL Server

  • Article

JSON is a viable option for transferring data between systems. It has the ability to include schema information along with the data which is an advantage over CSV files. In this article, Phil Factor demonstrates how he takes advantage of JSON when exporting or importing tables.

2018-12-05

3,025 reads

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Adding and Dropping Columns II

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Leveraging DuckDB for OLAP Workloads: The Fabric Modern Data Platform

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More Documentation is Needed

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Question of the Day

Adding and Dropping Columns II

I have this table in my SQL Server 2022 database:

CREATE TABLE [dbo].[CityList]
(
[CityNameID] [int] NOT NULL IDENTITY(1, 1),
[CityName] [varchar] (30) ,
[Country2] [char] (3),
[stateprovince2] [char] (2),
[Country] [char] (3),
[stateprovince] [char]
) ON [PRIMARY]
GO
I decide to drop the stateprovince2 and country2 columns. What code should I use?

See possible answers