Integrate Amazon DynamoDB with Google Tasks

Appy Pie Connect allows you to automate multiple workflows between Amazon DynamoDB and Google Tasks

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About Amazon DynamoDB

DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.

About Google Tasks

Google Tasks is a to do list that makes it easy to plan your day and stay organized. It helps you keep track of the tasks that matter most to you—at work, at home, and everywhere in between.

Want to explore Amazon DynamoDB + Google Tasks quick connects for faster integration? Here’s our list of the best Amazon DynamoDB + Google Tasks quick connects.

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Connect Amazon DynamoDB + Google Tasks in easier way

It's easy to connect Amazon DynamoDB + Google Tasks without coding knowledge. Start creating your own business flow.

  • Triggers
  • New Item

    Trigger when new item created in table.

  • New Table

    Trigger when new table created.

  • New Completed Task

    Triggers when a task is completed in a specific task list.

  • New Task

    Triggers when a new task is added or updated old task.

  • New Task List

    Triggers when a new task list is created.

  • Actions
  • Create Item

    Creates new item in table.

  • Create Update Item

    Create a new item or updates an existing item.

  • Create Task

    Creates a new task.

  • Create Task List

    Creates a new task list.

  • Update Task

    Update an existing task.

How Amazon DynamoDB & Google Tasks Integrations Work

  1. Step 1: Choose Amazon DynamoDB as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Google Tasks as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Amazon DynamoDB to Google Tasks.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Amazon DynamoDB and Google Tasks

Amazon DynamoDB is a NoSQL database service from Amazon Web Services. It provides a scalable, low-latency data store with a flexible data model and query interface. DynamoDB stores your data items in tables, which are comprised of items and attributes. The items are comparable to rows or records in a relational database. Attributes consist of the columns, or fields, of each item. DynamoDB uses primary key values to uniquely identify each item within a table. You can define a primary key using one or more attributes, known as composite keys. DynamoDB supports secondary indexes as well as local secondary indexes. A local secondary index lets you map an attribute to a particular range of attribute values within a table’s primary key.

Google Tasks is an online task management web service provided by Google. It allows users to create tasks, complete them, and organize them with other tasks on different levels of granularity. It also provides reminders for tasks scheduled for a certain date and time. Users can share their tasks with other users via e-mail, and when shared, the recipient(s. can see a link that shows all shared tasks in one place. Google Tasks can be used from any computer with Internet access.

    Integration of Amazon DynamoDB and Google Tasks

Integration between Amazon DynamoDB and Google Tasks can be achieved by uploading the JSON file obtained from Google Tasks to the Amazon DynamoDB table created in the previous section. One advantage of integrating these two services is that they run on different protocols; this makes integration possible even if the two services are running in different locations. Also, Amazon DynamoDB is good at storing large amounts of data, while Google Tasks is good at providing a simple yet powerful user interface for managing tasks. This allows users to use the best capabilities of both services at the same time.

Step 1. Importing data into Amazon DynamoDB table

To import data from a JSON file into Amazon DynamoDB table, we first need to create an IAM user with read and write permissions to access the table. This needs to be done only once for each table throughout the lifetime of the application. First, create a new IAM user in the IAM console, as shown in Figure 1.

Figure 1. Creating new IAM user in IAM console

Click on Attach Policy and check AmazonDynamoDBFullAccess policy as shown in Figure 2. Click on Next Step and then click Create User in the next screen, as shown in Figure 3.

Figure 2. Attaching AmazonDynamoDBFullAccess policy to new IAM user

Figure 3. Creating new IAM user

Now we need to upload a JSON file that contains the details of the tasks (books. we want to track through this application. We can get this JSON file from Google Tasks by clicking on More Actions → Export as shown in Figure 4.

Figure 4. Exporting data from Google Tasks as JSON file

This will download a JSON file that contains details about the tasks we want to track through our application. Now we have this JSON file ready to be imported into our tables on Amazon DynamoDB. We are going to do this using the AWS Java SDK for Java applications running on Amazon EC2 instances or on Windows machines with Java installed. First, make sure that you have downloaded and set up the AWS Java SDK for Java applications running on Amazon EC2 instances or on Windows machines with Java installed before proceeding with the instructions below. We are going to use the AWS Java SDK for accessing DynamoDB services for importing this JSON file into our tables on Amazon DynamoDB. To do this, create a class called ImportTaskToTable . This class contains the following code:

@DynamoDBTable("tasks". public class ImportTaskToTable { @DynamoDBHashKey public String hashKey; @DynamoDBAttribute public String taskName; @DynamoDBAttribute public String startDateTime; @DynamoDBAttribute public String endDateTime; @DynamoDBAttribute public String dueDateTime; @DynamoDBAttribute public String completed; @DynamoDBColumn(attribute = "completed", sortable = false. public Boolean completed; @DynamoDBIndexed public Boolean isCompleted; public ImportTaskToTable(. { super(); } public void add(String hashKey, String taskName, String startDateTime, String endDateTime, String dueDateTime, boolean completed. { this.hashKey = hashKey; this.taskName = taskName; this.startDateTime = startDateTime; this.endDateTime = endDateTime; this.dueDateTime = dueDateTime; this.completed = completed; } }

We have annotated this class with various annotations like @DynamoDBTable , @DynamoDBHashKey , @DynamoDBAttribute , etc that are required for accessing and interacting with DynamoDB services from our application code. These annotations basically provide settings for DynamoDB client that enables it to connect to the server and interact with it using appropriate APIs which we will discuss later in this article. After creating this class, we now need to create another class called MainClass . This class contains the following code:

public class MainClass { private static final Logger logger = LogManager.getLogger(MainClass.class); private static final String TABLE_NAME_TASKS = "tasks"; private static final String KEY_HASH_STRING = "hashkey"; private static final String KEY_TASK_NAME = "taskname"; private static final String KEY_START_DATE_TIME = "startdatetime"; private static final String KEY_END_DATE_TIME = "enddatetime"; private static final String KEY_DUE_DATE_TIME = "duedatetime"; private static final String KEY_COMPLETED = "completed"; private static final String TABLE_NAME_IMPORT_TASKS = "importtasks"; private static final String COLUMN_HASHKEY = "hashkey"; private static final String COLUMN_TASKNAME = "taskname"; private static final String COLUMN_START_DATE_TIME = "startdatetime"; private static final String COLUMN_END_DATE_TIME = "enddatetime"; private static final String COLUMN_DUE_DATE_TIME = "duedatetime"; private static final Integer PRIMARYKEY_HASHKEY = new Integer(1); private static final Integer PRIMARYKEY_START_DATE_TIME = new Integer(2); private static final Integer PRIMARYKEY_END_DATE_TIME = new Integer(3); private static final Integer PRIMARYKEY_DUE_DATE_TIME = new Integer(4); private static final Integer SECONDARYKEY_HASHKEY = new Integer(5); private static final Integer SECONDARYKEY_COMPLETED = new Integer(6); public static void main(final String[] args. throws IOException { // Instantiating AWSCredentials AWSCredentials credentials = new BasicAWSCredentials("username", "<password>"); // Creating DynamoDB client with credentials DynamoDB dynamodbClient = new AmazonDynamoDBClient(credentials); // Connecting to DynamoDB dynamodbClient.setRegion(RegionEndpoint.USEast1); // Creating HashKey Table Mapping DyanmoDBHashKeyMapping mapping = new DynamoDBHashKeyMapping(); mapping.setHashKeyFieldName("hashkey"); // Creating Table mapping mapping.setTableName(TABLE_NAME_TASKS); mapping.setHashKeyMapping(mapping); // Creating Primary Key Table Mapping DyanmoDbPrimaryKeyMapping primaryKeyMapping = new AmazonDynamoDBPrimaryKeyMapping(); primaryKeyMapping.setTableName(TABLE_NAME_TASKS); primaryKeyMapping.setKeySchemaName("PRIMARY"); primaryKeyMapping.setKeyFieldName("hashkey"); // Creating Secondary Key Table Mapping DyanmoDbSecondaryIndexMapping secondaryIndexMapping = new AmazonDynamoDBSecondaryIndexMapping(); secondaryIndexMapping.setTableName(TABLE_NAME_IMPORT_TASKS); secondaryIndexMapping.setIndexName("imported"); secondaryIndexMapping.setIndexKeySchemaName("PRIMARY");

The process to integrate Amazon DynamoDB and Google Tasks may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick solution to help you automate your workflows. Click on the button below to begin.

Page reviewed by: Abhinav Girdhar  | Last Updated on November 09,2022 06:11 pm