If you are working with ADF (Azure Data Factory) data flows, then you may have noticed there was a new feature released in November 2020, which is useful to capture any error while inserting/updating the records in a SQL database. This article will describe how to setup the error row handling feature and why it's […]
2021-06-16 (first published: 2021-05-02)
5,667 reads
Whether you work as a Data Engineer or a Data Scientist, a Jupyter Notebook is a helpful tool. One of the projects I was working required a comparison of two parquet files. This is mainly a schema comparison, not a data comparison. Though the two .parquet were created from two different sources, the outcome should […]
2021-05-17
5,504 reads
This article will describe how to add your local timestamp at the end of the each file in Azure Data Factory (ADF). In general, ADF gets a UTC timestamp, so we need to convert the timestamp from UTC to EST, since our local time zone is EST. For example, if the input Source file name […]
2021-04-22
30,249 reads
This article will help you to work with Store Procedure with output parameters in Azure data factory.
2021-04-06
34,849 reads
2021-01-14
46,096 reads
This post will describe how you use a CASE statement in Azure Data Factory (ADF). If you are coming from SSIS background, you know a piece of SQL statement will do the task. However let's see how do it in SSIS and the very same thing can be achieved in ADF. Problem statement For my […]
2020-11-12
22,486 reads
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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