These examples are extracted from open source projects. 141 W Jackson Blvd, Ste 2200 You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. I hope that this can be a helpful resource for some of the most common use cases. The TTL is still helpful is cleaning up our table by removing old items, but we get the validation we need around proper expiry. Step 4.3: Scan. Boto3 Delete All Items. Skip to content. This will return all songs with more than 1 million in sales. With DynamoDB, you can create secondary indexes. Pour en savoir plus sur l'interrogation et l'analyse des données, consultez Working with Queries in DynamoDB et Utilisation des opérations Scan dans DynamoDB, respectivement. from moto import mock_dynamodb2 import boto3 import sys from boto3.dynamodb.conditions import Key, Attr. A second reason to use filter expressions is to simplify the logic in your application. Amazon DynamoDB is a non-relational key/value store database that provides incredible single-digit millisecond response times for reading or writing, and is unbounded by scaling issues. In this demonstration I will be using the client interface on Boto3 with Python to work with DynamoDB. As such, there’s a chance our application may read an expired session from the table for 48 hours (or more!) You'll receive occasional updates on the progress of the book. This is where you notion of sparse indexes comes in — you can use secondary indexes as a way to provide a global filter on your table through the presence of certain attributes on your items. It can be used side-by-side with Boto in the same project, so it is easy to start using Boto3 in your existing projects as well as new projects. # -*- coding:utf-8 -*- # @Time : 3/23/2020 11:42 AM # @Author : Mandy Lin # @File : call_dynamo.py # The AWS docs explain that while a query is useful to search for items via primary key, a scan walks the full table, but filters can be applied. You may check out the related API usage on the sidebar. Embed Embed this gist in your website. Senior Application Developer, Building exterior | Photo by Michael Jasmund on Unsplash. Both of these methods will have the same throughput. DynamoDB is often used for organization’s most critical business data, and as such there is value in being able to visualize and dig deeper into this data. scan all elements from a dynamodb table using Python (boto3) - scan.py. You can use the ProjectionExpression parameter so that Scan only returns some of the attributes, rather than all of them.. But filter expressions in DynamoDB don’t work the way that many people expect. What is Amazon's DynamoDB? In this post, we’ll learn about DynamoDB filter expressions. To retrieve a single attribute, specify its name. Your table might look as follows: In your table, albums and songs are stored within a collection with a partition key of ALBUM##. Notice that our secondary index is sparse — it doesn’t have all the items from our main table. import boto3 def scan_table (dynamo_client, *, TableName, ** kwargs): """ Generates all the items in a DynamoDB table. :param TableName: The name of the table to scan. So what should you use to properly filter your table? The value used to segment your data is the “partition key”, and this partition key must be provided in any Query operation to DynamoDB. boto3 ofrece paginators que se encargan de todos los detalles de paginación para usted . Using the same table from the above, let's go ahead and create a bunch of users. If I want to use an extra parameter like FilterExpression, I can pass that into the function and it gets passed to the Scan. The FilterExpression promises to filter out results from your Query or Scan that don’t match the given expression. DynamoDB is not like that. The primary key for the Movies table is composed of the following:. I’ll set my TTL on this attribute so that DynamoDB will remove these items when they’re expired. In the last section, we introduced the creation and management of dynamodb indexes. get_paginator ('scan') … Our access pattern searches for platinum records for a record label, so we’ll use RecordLabel as the partition key in our secondary index key schema. FilterExpressionに条件を書き、ExpressionAttributeValuesに検索する値を設定します。 DynamoDB scan 件数の取得方法. 問題のコード. IL :param dynamo_client: A boto3 client for DynamoDB. If our query returns a result, then we know the session is valid. We can use the sparse secondary index to help our query. Through boto3, zero results. year – The partition key. This makes it easy to support additional access patterns. I can run a Query operation using the RecordLabel attribute as my partition key, and the platinum songs will be sorted in the order of sales count. Querying and scanning¶. Now I can handle my “Fetch platinum songs by record label” access pattern by using my sparse secondary index. Second, if a filter expression is present, it filters out items from the results that don’t match the filter expression. You can provide an optional filter_expression so that only the items matching your criteria are returned. Query and Scan are two operations available in DynamoDB SDK and CLI for fetching a collection of items. To add conditions to scanning and querying the table, you will need to import the boto3.dynamodb.conditions.Key and boto3.dynamodb.conditions.Attr classes. Lambda関数からDynamodbへアクセスし、データを取得. Select=’COUNT’を指定すると、response[‘Count’]に件数が返ってきます。 At this point, they may see the FilterExpression property that’s available in the Query and Scan API actions in DynamoDB. When you issue a Query or Scan request to DynamoDB, DynamoDB performs the following actions in order: First, it reads items matching your Query or Scan from the database. Well then, first make sure you … There are three songs that sold more than 1,000,000 copies, so we added a SongPlatinumSalesCount for them. The attribute type is number.. title – The sort key. boto3.dynamodb.conditions また、文字列として ConditionExpression を指定することもできます。 で使用可能な条件のリストについては、Amazon DynamoDB の「DynamoDB の条件 」を参照してください。AWS SDK for Python (Boto3) の使用開始. Step 4 - Query and Scan the Data. You’ve had this wonderfully expressive syntax, SQL, that allows you to add any number of filter conditions. This session expires after a given time, where the user must re-authenticate. DynamoQuery provides access to the low-level DynamoDB interface in addition to ORM via boto3.client and boto3.resource objects. pgolding / scan.py. Boto3, the next version of Boto, is now stable and recommended for general use. While I’ve found the DynamoDB TTL is usually pretty close to the given expiry time, the DynamoDB docs only state that DynamoDB will typically delete items within 48 hours of expiration. There are two main techniques to do this: get_item & query (we’ll cover scans later). If we think we’re going to exceed that, we should continue to re-scan and pass in the LastEvaluatedKey: Hash and Range Primary Key — The primary key is made of two attributes. To access DynamoDB, create an AWS.DynamoDB service object. import boto3 # Get the service resource. Pythonic logging. You may check out the related API usage on the sidebar. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. I’m going to shout my advice here so all can hear: Lots of people think they can use a filter expression in their Query or Scan operations to sift through their dataset and find the needles in their application’s haystack. The most common way is to narrow down a large collection based on a boolean or enum value. While they might seem to serve a similar purpose, the difference between them is vital. 추가 클래스는 boto3.dynamodb.conditions.Key와 boto3.dynamodb.conditions.Attr 클래스로, 호출 … Sign up for updates on the DynamoDB Book, a comprehensive guide to data modeling with DynamoDB. I prefer to do the filtering in my application where it’s more easily testable and readable, but it’s up to you. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.. get_paginator ('scan') … The main idea is to have a step by step guide to show you how to Write, Read and Query from DynamoDB. It doesn’t include any Album items, as none of them include the SongPlatinumSalesCount attribute. I also have the ExpiresAt attribute, which is an epoch timestamp. As stated in the intro, I just wanted to bring all these examples into one place. This is because DynamoDB won’t let you write a query that won’t scale. All mistakes are mine. In the last example, we saw how to use the partition key to filter our results. For some valid articleIDs the scan returns zero results. Unfortunately, there's no easy way to delete all items from DynamoDB just like in SQL-based databases by using DELETE FROM my-table;.To achieve the same result in DynamoDB, you need to query/scan to get all the items in a table using pagination until all items are scanned and then perform delete operation one-by-one on each record. For other blogposts that I wrote on DynamoDB can be found from blog.ruanbekker.com|dynamodb and sysadmins.co.za|dynamodb. パーティションキー 2. We also saw a few ways that filter expressions can be helpful in your application. Query & Scan을 사용하기 위해서는 boto3를 import하는 것 외에도 추가 클래스를 호출해야 합니다. By default, a Scan operation returns all of the data attributes for every item in the table or index. Step 4 - Query and Scan the Data. This sounds tempting, and more similar to the SQL syntax we know and love. dynamodb = boto3. \'S\'"}' 2017-10-14 00:47:02,059 botocore.hooks DEBUG Event needs-retry.dynamodb.Scan: calling handler 2017-10-14 00:47:02,060 botocore.retryhandler DEBUG crc32 check skipped, the x-amz-crc32 header is not in the http response. aws. DynamoDB will periodically review your items and delete items whose TTL attribute is before the current time. We then saw how to model your data to get the filtering you want using the partition key or sparse secondary indexes. By default, a Scan operation returns all of the data attributes for every item in the table or index. boto3 offre paginators qui traitent tous de la pagination des détails pour vous. However, get_item will return a single item, and query will return a list (unless we specify limit=1). Imagine we want to execute this a Query operation to find the album info and all songs for the Paul McCartney’s Flaming Pie album. You must specify a partition key value. In the last section, we introduced the creation and management of dynamodb indexes. martinapugliese / boto_dynamodb_methods.py. With the table full of items, you can then query or scan the items in the table using the DynamoDB.Table.query() or DynamoDB.Table.scan() methods respectively. Fondamentalement, vous pouvez l'utiliser comme ceci: import boto3 client = boto3. In my experience, I’ve found the documentation around this technology can be scattered or incomplete. Interacting with a DynamoDB via boto3 3 minute read Boto3 is the Python SDK to interact with the Amazon Web Services. In other words, the conditions are ANDed together. table = dynamodb. If I do the scan with the exact same articleID in the DynamoDB console, it works fine. In the next section, we’ll take a look why. We can see above that all the attributes are being returned. In order to minimize response latency, BatchGetItem retrieves items in parallel. However, filter expressions don’t work as you think they would. We’ll cover that in the next section. Going forward, API updates and all new feature work will be focused on Boto3. There are a number of tools available to help with this. aws. Yet there’s one feature that’s consistently a red herring for new DynamoDB users — filter expressions. Star 9 Fork 1 Star Code Revisions 1 Stars 9 Forks 1. Fondamentalement, vous pouvez l'utiliser comme ceci: import boto3 client = boto3. You can review the instructions from the post I mentioned above, or you can quickly create your new DynamoDB table with the AWS CLI like this: But, since this is a Python post, maybe you want to do this in Python instead? If you have questions or comments on this piece, feel free to leave a note below or email me directly. I’ll do my best to explain and provide examples for some of the most common use cases. To get only some, rather than all of the attributes, use a projection expression. We’ll look at the following two strategies in turn: The most common method of filtering is done via the partition key. You can combine tables and filter on the value of the joined table: You can use built-in functions to add some dynamism to your query. In this section, we will introduce the use of query and scan. ハマった点 「3つ以上の属性の複合primary key」を定義できない。 解決策 primary keyとして使用可能なのは、以下のいずれか。 1. Scans. Some applications only need to query data using the base table’s primary key. Boto3 Delete All Items. When creating a secondary index, you will specify the key schema for the index. aws-go-sdk documentation doesn’t say much about how to use Expression Attribute Names, or what to do, when one of your attribute names is a reserved word by DynamoDb. With DynamoDB, you need to plan your access patterns up front, then model your data to fit your access patterns. You could fetch all the songs for the album, then filter out any with fewer than 500,000 sales: Or, you could use a filter expression to remove the need to do any client-side filtering: You’ve saved the use of filter() on your result set after your items return. You can use the query method to retrieve data from a table. And here is an example using range key with some of the techniques we learned above: Some applications might need to perform many kinds of queries, using a variety of different attributes as query criteria. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. DynamoDBでレコード(Item)を一意に決定するプライマリキーには以下の2通りがあります。 1. Now that we know filter expressions aren’t the way to filter your data in DynamoDB, let’s look at a few strategies to properly filter your data. The two main operations you can run to retrieve items from a DynamoDB table are query and scan. First we saw why filter expressions trick a lot of relational converts to DynamoDB. Albums have a sort key of ALBUM## while songs have a sort key of SONG#. In this section, we will introduce the use of query and scan. For example, the forum Thread table can have ForumName and Subject as its primary key, where ForumName is the hash attribute and Subject is the range attribute. Introduction: In this Tutorial I will show you how to use the boto3 module in Python which is used to interface with Amazon Web Services (AWS). In the operation above, we’re importing the AWS SDK and creating an instance of the DynamoDB Document Client, which is a client in the AWS SDK for Node.js that makes it easier for working with DynamoDB. You must specify a partition key value. Also >= <= and <> was not being parsed correctly. Your application has a huge mess of data saved. A 1GB table is a pretty small table for DynamoDB — chances are that yours will be much bigger. You can use the ProjectionExpression parameter so that Scan only returns some of the attributes, rather than all of them.. AWS Data Hero providing training and consulting with expertise in DynamoDB, serverless applications, and cloud-native technology. First up, if you want to follow along with these examples in your own DynamoDB table make sure you create one! 2017-10-14 00:47:02,060 … The last example of filter expressions is my favorite use — you can use filter expressions to provide better validation around TTL expiry. Over the past few years, I’ve helped people design their DynamoDB tables. * Fixed spulec#1261 dynamodb FilterExpression bugs FilterExpression was incorrectly handling numbers, stupid typo there. Básicamente, lo usaría así: import boto3 client = boto3.client('dynamodb') paginator = client.get_paginator('scan') … And here is an example of a query with an GSI: At the time of writing this get_item on GSI is not supported. scan all elements from a dynamodb table using Python (boto3) - scan.py You can use the ProjectionExpression parameter so that Scan only returns some of the attributes, rather than all of them. The filter expression states that the Sales property must be larger than 1,000,000 and the SK value must start with SONG#. To support these requirements, you can create one or more global secondary indexes and issue Query requests against these indexes in Amazon DynamoDB. When designing your application, keep in mind that DynamoDB does not return items in any particular order. Pastebin.com is the number one paste tool since 2002. Proper data modeling is all about filtering. client ('dynamodb') paginator = client. I am using boto3 to scan a DynamoDB table to find records with a certain ID (articleID or imageID). Boto3 dynamodb increment value. (You can use the ConditionalOperator parameter to OR the conditions instead. You're on the list. DynamoDBテーブルのデータをscan()やquery()で検索するとき、FilterExpressionを使って指定した条件を満たしたデータのみ取得することがよくあります。しかし、DynamoDBテーブルのデータ内容によっては条件一致しないことがありました。 The sort key is optional. Well, when you take the result of &ing two Keys you get a boto3.dynamodb.conditions.And object that is actually passed to the KeyConditionExpression and evaluated by DynamoDB. Difference Between Query and Scan in DynamoDB. Using the same table from the above, let's go ahead and create a bunch of users. The basic way to achieve this in boto3 is via the query and scan APIs: This gives full access to the entire DynamoDB API without blocking developers from using the latest features as soon as they are introduced by AWS. DynamoDB are databases inside AWS in a noSQL format, and boto3 contains methods/classes to deal with them. This can feel wrong to people accustomed to the power and expressiveness of SQL. In the operation above, we’re importing the AWS SDK and creating an instance of the DynamoDB Document Client, which is a client in the AWS SDK for Node.js that makes it easier for working with DynamoDB.Then, we run a Scan method with a filter expression to run a scan query against our table. * Switched up logic a … Alternatively, we could have used the same put_item method we used to create the item with. We can use the partition key to assist us. The scan method reads every item in the entire table and returns all the data in the table. The easiest way to run these examples is to set up an AWS Lambda function using the Python 3.7 runtime. Next, we can retrieve our newly created record. Embed. The title will be our hash key and author will be our range key. In the example portion of our music table, there are two different collections: The first collection is for Paul McCartney’s Flaming Pie, and the second collection is for Katy Perry’s Teenage Dream. If you’re coming from a relational world, you’ve been spoiled. With this flexible query language, relational data modeling is more concerned about structuring your data correctly. For more information, see the documentation for boto3. This one comes down to personal preference. But if you don’t yet, make sure to try that first. resource ('dynamodb') # Instantiate a table resource object without actually # creating a DynamoDB table. To Demonstrate this next part, we’ll build a table for books. Alex DeBrie on Twitter, -- Fetch all platinum songs from Capital records, Data Modeling with DynamoDB talk at AWS re:Invent 2019, DynamoDB won’t let you write a query that won’t scale, The allure of filter expressions for DynamoDB novices, What to use instead of filter expressions. By following this guide, you will learn how to use the DynamoDB.ServiceResource and DynamoDB.Table resources in order to create tables, write items to tables, modify existing items, retrieve items, and query/filter the items in the table. In this context, it is probably just easier to think of it as “and this other condition must also be true” rather than “let’s take the bitwise result of the two Key objects”. \'S\'"}' 2017-10-14 00:47:02,059 botocore.hooks DEBUG Event needs-retry.dynamodb.Scan: calling handler 2017-10-14 00:47:02,060 botocore.retryhandler DEBUG crc32 check skipped, the x-amz-crc32 header is not in the http response. Note that the attributes of this table # are lazy-loaded: a request is not made nor are the attribute # values populated until the attributes # on the table resource are accessed or its load() method is called. If you provide more than one condition in the QueryFilter map, then by default all of the conditions must evaluate to true. En plus de la méthode query, vous pouvez utiliser la méthode scan pour récupérer toutes les données de la table. Further, it doesn’t include any Song items with fewer than 1 million copies sold, as our application didn’t include the PlatinumSalesCount property on it. The partition key is used to separate your items into collections, and a single collection is stored together on a single node in DynamoDB. To illustrate this we’re going to create an Employee table with employee_id as our hash kay and email address as our GSI. Scans. DynamoDB简介DynamoDB 是AWS 提供一个 NoSql 数据库服务。 它是一个Region级别的服务，针对用户对读写性能的要求进行不同的收费。注意 dynamodb 库中对一些数据类型支持不友好，dynamodb2 中对这些问题进行了完善。遇到的问题 dyanmo 数据表中数据进行 partial_save 时，产生ConditionCheckFailException 异常，这是由于 The most efficient method is to fetch the exact key of the item that you’re looking for. Let’s see how this might be helpful. after the session should have expired. year – The partition key. The attribute type is number.. title – The sort key. Hash属性とRange属性のペア このため、まずは、2つ以下の属性でprimary keyが定義できる設計を検討してみる。 検討の結果、3つ(以上)の属性の複合primary ke… The following are 28 code examples for showing how to use boto3.dynamodb.conditions.Attr().These examples are extracted from open source projects. To simplify our application logic, we can include a filter expression on our Query to the session store that filters out any sessions that have already expired: Now our application doesn’t have to perform an additional check to ensure the returned item has expired. To see why this example won’t work, we need to understand the order of operations for a Query or Scan request. This makes the Scan + filter expression combo even less viable, particularly for OLTP-like use cases. boto3 dynamodb increment value You may not be using Python yourself. By default, BatchGetItem performs eventually consistent reads on every table in the request. 60604, https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ReservedWords.html. DynamoDB will only include an item from your main table into your secondary index if the item has both elements of the key schema in your secondary index. Matt Holmes Otherwise, you may need to scan the whole table using FilterExpression to find the item. To demonstrate this we’re going to create a Posts table with user_name as our hash key, title as our range key and we’ll have a LSI on user_name & subject. import boto3 # Get the service resource. However, the filter is applied only after the entire table has been scanned. Many of these requests will return empty results as all non-matching items have been filtered out. However, there might be situations where an alternative sort key would be helpful. This filters out all other items in our table and gets us right to what we want. Better validation around time-to-live (TTL) expiry. You might expect a single Scan request to return all the platinum songs, since it is under the 1MB limit. The following are 28 code examples for showing how to use boto3.dynamodb.conditions.Attr(). The primary key for the Movies table is composed of the following:. Imagine you have a table that stores information about music albums and songs. Last active Dec 27, 2020. Then we explored how filter expressions actually work to see why they aren’t as helpful as you’d expect. To read data from a table, you use operations such as GetItem, Query, or Scan. 必要な処理を. Amazon DynamoDB returns all the item attributes by default. What would … Below I am providing a python code which puts 3 records in dynamodb out of which 2 should be returned by applying dynamodb filter expression 'contains' but it returns none. client ('dynamodb') paginator = client. The requested partition key must be an exact match, as it directs DynamoDB to the exact node where our Query should be performed. A Scan operation in Amazon DynamoDB reads every item in a table or a secondary index. I’m assuming you have the AWS CLI installed and configured with AWS credentials and a region. Third, it returns any remaining items to the client. For the sort key, we’ll use a property called SongPlatinumSalesCount. Introduction: In this Tutorial I will show you how to use the boto3 module in Python which is used to interface with Amazon Web Services (AWS). Chicago, - boto_dynamodb_methods.py. All gists Back to GitHub Sign in Sign up Sign in Sign up {{ message }} Instantly share code, notes, and snippets. Imagine you wanted to find all songs that had gone platinum by selling over 1 million copies. getUsers() 内に書きLambda_handlerから呼び出すような形で実装していました。 In addition to information about the album and song, such as name, artist, and release year, each album and song item also includes a Sales attribute which indicates the number of sales the given item has made. If you know you’ll be discarding a large portion of it once it hits your application, it can make sense to do the filtering server-side, on DynamoDB, rather than in your client. Dynamodb query operations provide fast and efficient access to […] Created Jun 5, 2017. We could write a Query as follows: The key condition expression in our query states the partition key we want to use — ALBUM#PAUL MCCARTNEY#FLAMING PIE. But as in any key/value store, it can be tricky to store data in a way that allows you to retrieve it efficiently. The value for this attribute is the same as the value for SalesCount, but our application logic will only include this property if the song has gone platinum by selling over 1 million copies. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. Let’s walk through an example to see why filter expressions aren’t that helpful. Some wrapper methods to deal with DynamoDB databases in Python, using boto3. 介绍 Amazon DynamoDB 是一项快速灵活的 NoSQL 数据库服务，适合所有需要一致性且延迟低于 10 毫秒的任意规模的应用程序。它是完全托管的云数据库，支持文档和键值存储模型。灵活的数据模型和可靠的性能使其成为移动、Web、游戏、广告技术、物联网和众多其他应用的不二之选。 We’ll cover: This post contains some concepts from my Data Modeling with DynamoDB talk at AWS re:Invent 2019. Python 3.6 + Boto3. For this reason, it is a good practice to use get_item when you have all the information to do so. Query SQL can use select statements to query key, non critical, or any combination. If we have access patterns like “Fetch an album by album name” or “Fetch all songs in a given album”, we are filtering our data. Imagine your music table was 1GB in size, but the songs that were platinum were only 100KB in size. To make it real, let’s say you wanted to fetch all songs from a single album that had over 500,000 sales. Feel free to watch the talk if you prefer video over text. Then, we run a Scan method with a filter expression to run a scan query against our table. In this article, we saw why DynamoDB filter expressions may not help the way you think. Surely we don’t think that the DynamoDB team included them solely to terrorize unsuspecting users! A single record label will have a huge number of songs, many of which will not be platinum. Once you’ve properly normalized your data, you can use SQL to answer any question you want. パーティションキー＋ソートキー パーティションキーはハッシュキー、ソートキーはレンジキーと呼ばれていたりします。 パーティションキーといった方がしっくりきますね。 パーティションキーはその名の通り、パーティションを分割して保存されます。パーティションキーが異なるItemは独立性が高く、パーティションキーを横断した処理はDynamoDBは苦手とします。 一方、ソ… As such, you will use your primary keys and secondary indexes to give you the filtering capabilities your application needs. Here es la página de documentación del paginador de exploración. In this section, we’ll look at a different tool for filtering — the sparse index. What would you like to do? The example above is for Node.js, but similar principles apply for any language. Skip to content. Python boto3.dynamodb.conditions 模块， Attr() 实例源码. This is a lot of data to transfer over the wire. First, let’s design the key schema for our secondary index. #Boto3 #Dynamodb #Query&Scan #AWS Hello Friends, In this video you will learn how you can query and scan the data from Dynamodb table using Boto3. Amazon DynamoDB is a non-relational key/value store database that provides incredible single-digit millisecond response times for reading or writing, and is unbounded by scaling issues. resource ('dynamodb') # Instantiate a table resource object without actually # creating a DynamoDB table. If you’re immediately going to filter a bunch of items from your result, you may prefer to do it with a filter expression rather than in your application code. class DynamoDB.Client¶ A low-level client representing Amazon DynamoDB. Secondary indexes are a way to have DynamoDB replicate the data in your table into a new structure using a different primary key schema. This is how DynamoDB scales as these chunks can be spread around different machines. The table is the exact same as the one above other than the addition of the attributes outlined in red. Query SQL can use select statements to query key, non critical, or any combination. These examples are extracted from open source projects. 2017-10-14 00:47:02,060 botocore.retryhandler DEBUG No retry needed. Unfortunately, there's no easy way to delete all items from DynamoDB just like in SQL-based databases by using DELETE FROM my-table;.To achieve the same result in DynamoDB, you need to query/scan to get all the items in a table using pagination until all items are scanned and then perform delete operation one-by-one on each record.