AWS DynamoDB - PartiQL Delete Statements For DynamoDB Last Updated : 28 Mar, 2023 Comments Improve Suggest changes Like Article Like Report PartiQL is a SQL-compatible query language that supports querying, modifying, and inserting data. It makes it easier to interact with DynamoDB and run queries in AWS Management Console. Delete data in DynamoDB Table using PartiQL: Syntax: DELETE FROM table-name WHERE condition; Parameters: Table name: Required – Name of the table in which you want to insert data.Condition: Required – The criteria for the item that needs to be deleted. Example: DELETE FROM Books WHERE “BookName” = ‘ABC’ AND “Author” = ‘EFG’ ; Note: Updates and Deletes cannot be processed in bulk, You can only delete one record in one operation. Using PartiQL in AWS Management Console: Pre - Requisites: AWS AccountDynamoDB tableImplementation: Step 1: Login into your AWS account. Search for “DynamoDB” which will be present under “Services”, select it. Step 2: Once you are directed to the DynamoDB Management Console, on the left side there is PartiQL editor, select it. Step 3: After you are directed to the PartiQL editor, Select the table that you want to delete data from. Step 4: Type the Query in the editor and click on run, it should be executed successfully. Step 5: The record gets deleted from the table, and the delete operation is completed. Comment More infoAdvertise with us Next Article AWS DynamoDB - PartiQL Delete Statements For DynamoDB D divu0804 Follow Improve Article Tags : DynamoDB AWS DynamoDB Similar Reads AWS DynamoDB - PartiQL Insert Statement PartiQL is a SQL-compatible query language that supports querying, modifying, and inserting data. It makes it easier to interact with DynamoDB and run queries in AWS Management Console. Insert data into DynamoDB Table using PartiQL: Syntax: INSERT INTO table-name VALUE item;Table name: Required â Na 1 min read Amazon DynamoDB - Ways of Protecting Data in DynamoDB Amazon DynamoDB is a totally managed (âserverlessâ) and NoSQL (nonrelational) database provider, available on Amazon Web Services. DynamoDB is surprisingly scalable, which means you can start actually small and grow very big while not having to re-installation or re-architect. It additionally offers 10 min read How to Delete an Item in a DynamoDB Table? Amazon DynamoDB a fully managed NoSQL database service by Amazon Web Services (AWS), provides simple scalability and high performance for applications of any scale. Managing data in DynamoDB is important sometimes we need to delete specific items from a table to maintain data integrity or changes in 3 min read DynamoDB Dynamo: AWS CLI Commands for NoSQL Database As we know, there are three main ways to access and manage AWS services, AWS CLI (command line interface), the AWS Management Console, and the AWS SDK(Software (software kit). Here we are working with the first tool, which is AWS CLI (command line interface) which is basically used for interacting w 7 min read AWS DynamoDB - Write Data to a Table In this article, we will write data to a table in DynamoDB. DynamoDB is a NoSQL database that supports semi-structured data i.e. key-value and document data structures. A DynamoDB table contains items. An item is a collection of attributes and each item has a primary key that should be not null. 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It dynamically manages each customerâs request and provides high performance by automatically distributing data and traffic over servers. It is a ful 4 min read AWS DynamoDB - Update Data in a Table Amazon DynamoDB is a NoSQL managed database that supports semi-structured data i.e. key-value and document data. A DynamoDB table stores data in the form of an item. While creating a table in DynamoDB, a partition key needs to be defined which acts as the primary key for the table and no schema. Eac 2 min read AWS DynamoDB - Introduction to DynamoDB Accelerator (DAX) DynamoDB is a fast NoSQL Database that is managed by Amazon Web Services (AWS). It was developed by Amazon Web Services (AWB). DynamoDB is sometimes referred to as a key-value store, but it also has Streams, Global and Local Secondary Indexes, Multi-region and Multimaster replication with enterprise 4 min read Like