Connect and share knowledge within a single location that is structured and easy to search. First check JSON is formatted well using this online JSON formatter and validator. What are the advantages of running a power tool on 240 V vs 120 V? Supported Parquet write settings under formatSettings: In mapping data flows, you can read and write to parquet format in the following data stores: Azure Blob Storage, Azure Data Lake Storage Gen1, Azure Data Lake Storage Gen2 and SFTP, and you can read parquet format in Amazon S3. I'm trying to investigate options that will allow us to take the response from an API call (ideally in JSON but possibly XML) through the Copy Activity in to a parquet output.. the biggest issue I have is that the JSON is hierarchical so I need it to be able to flatten the JSON, Initially, I've been playing with the JSON directly to see if I can get what I want out of the Copy Activity with intent to pass in a Mapping configuration to meet the file expectations (I've uploaded the Copy activity pipe and sample json, not sure if anything else is required for play), On initial configuration, the below is the mapping that it gives me of particular note is the hierarchy for "vehicles" (level 1) and (although not displayed because I can't make the screen small enough) "fleets" (level 2 - i.e. Getting started with ADF - Loading data in SQL Tables from multiple parquet files dynamically, Getting Started with Azure Data Factory - Insert Pipeline details in Custom Monitoring Table, Getting Started with Azure Data Factory - CopyData from CosmosDB to SQL, Securing Function App with Azure Active Directory authentication | How to secure Azure Function with Azure AD, Debatching(Splitting) XML Message in Orchestration using DefaultPipeline - BizTalk, Microsoft BizTalk Adapter Service Setup Wizard Ended Prematurely. Reading Stored Procedure Output Parameters in Azure Data Factory. Refresh the page, check Medium 's site status, or. If we had a video livestream of a clock being sent to Mars, what would we see? If source json is properly formatted and still you are facing this issue, then make sure you choose the right Document Form (SingleDocument or ArrayOfDocuments). So, it's important to choose Collection Reference. Data preview is as follows: Use Select1 activity to filter columns which we want I already tried parsing the field "projects" as string and add another Parse step to parse this string as "Array of documents", but the results are only Null values.. After a final select, the structure looks as required: Remarks: You can say, we can use same pipeline - by just replacing the table name, yes that will work but there will be manual intervention required. However, as soon as I tried experimenting with more complex JSON structures I soon sobered up. So you need to ensure that all the attributes you want to process are present in the first file. How to Build Your Own Tabular Translator in Azure Data Factory these are the json objects in a single file . For those readers that arent familiar with setting up Azure Data Lake Storage Gen 1 Ive included some guidance at the end of this article. Unroll Multiple Arrays in a Single Flatten Step in Azure Data Factory | ADF Tutorial 2023, in this video we are going to learn How to Unroll Multiple Arrays . Ill be using Azure Data Lake Storage Gen 1 to store JSON source files and parquet as my output format. Using this linked service, ADF will connect to these services at runtime. It is opensource, and offers great data compression (reducing the storage requirement) and better performance (less disk I/O as only the required column is read). Is there such a thing as "right to be heard" by the authorities? This article will not go into details about Linked Services. what happens when you click "import projection" in the source? Flattening JSON in Azure Data Factory | by Gary Strange | Medium Write Sign up Sign In 500 Apologies, but something went wrong on our end. Select Copy data activity , give a meaningful name. Where does the version of Hamapil that is different from the Gemara come from? Azure Data Lake Analytics (ADLA) is a serverless PaaS service in Azure to prepare and transform large amounts of data stored in Azure Data Lake Store or Azure Blob Storage at unparalleled scale. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Parquet format is supported for the following connectors: Amazon S3 Amazon S3 Compatible Storage Azure Blob Azure Data Lake Storage Gen1 Azure Data Lake Storage Gen2 Azure Files File System FTP By default, the service uses min 64 MB and max 1G. Alter the name and select the Azure Data Lake linked-service in the connection tab. A tag already exists with the provided branch name. Cannot retrieve contributors at this time. How to parse my json string in C#(4.0)using Newtonsoft.Json package? If left in, ADF will output the original items structure as a string. (Ep. Your requirements will often dictate that you flatten those nested attributes. Data preview is as follows: Then we can sink the result to a SQL table. Hope you can do that and share it to us. Not the answer you're looking for? Creating JSON Array in Azure Data Factory with multiple Copy Activities output objects, https://learn.microsoft.com/en-us/azure/data-factory/copy-activity-monitoring, learn.microsoft.com/en-us/azure/data-factory/, When AI meets IP: Can artists sue AI imitators? If you need details, you can look at the Microsoft document. You signed in with another tab or window. 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