This document aims to explain the process of using ADF (Azure data Factory) to make a copy of a Cosmos DB (Instance A) collection into a new collection in another Cosmos DB Instance effectively and cost effectively. For example, here is our Instance A in the Data Explorer: Here is Instance B: We are looking […]
2024-03-25
1,091 reads
Azure CosmosDB provides ODBC driver that enables you to query CosmosDB collections like classic databases. In this post you will see how to query CosmosDB collections from Sql Server using Transact-Sql.
2023-12-15
Updating and deleting documents, creating queries, and managing query results in Microsoft's new NoSQL database-as-a-service.
2023-11-29
Coding for the new NoSQL JSON database service that supports SQL queries.
2023-11-22
There are advantages of cloud databases when your workload requirements grow. Steve thinks it's useful to learn a bit about the options out there.
2022-09-30
544 reads
CosmosDB is a flexible, powerful database, but is it the best one? Steve has a few thoughts.
2022-03-21
229 reads
In this article, we will explore the HTAP capabilities of Cosmos DB. The goal is to derive real-time insights from transactional changes made to Cosmos DB, in a cost-effective manner with minimal overhead. I want the solution to be scalable, reliable and overall simple to maintain.
2021-11-03
2,248 reads
Cosmos DB delivers a wide range of advantages over traditional SQL and NoSQL-based data stores, including support for multiple consistency levels, latency and throughput guarantees, policy-based geo-fencing, automatic scaling, and multi-master replication model. However, it is a significant departure from the traditional database management and development approach that most database administrators are familiar with. Discover the offerings that you can use at no cost to gain hands-on experience with Cosmos DB.
2019-05-21
This article was created to help readers understand CosmosDB change feed processing.
2018-11-13
1,802 reads
The majority of traditional database management systems are responsible for making sure that any changes to their data are consistently reflected in the results of subsequent queries. Azure Cosmos DB extends the range of consistency options by providing support for bounded-staleness, session, and consistent prefix models.
2018-02-09
2,650 reads
By HeyMo0sh
Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
Comments posted to this topic are about the item Answering Questions On Dropped Columns
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT t1.[key] AS row,
t2.*
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t1
CROSS APPLY OPENJSON(t1.value) t2; See possible answers