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How to enable 2FA for Amazon
Want to follow this guide on your phone?
Install Authy
The best way to manage all your 2FA accounts is to use the Authy app. It enables you to have a single mobile app for all your 2FA accounts and you can sync them across multiple devices, even accessing them on the desktop. Install Authy on your device by searching for it in your device’s app store. Read more information on the features of Authy here.
Locate 2FA setting
Log in to your Amazon account, go to Account & Lists > Your Account.
In your account, go to Settings > Select Login & Security settings.
Capture QR Code
For the best user experience, set up Authenticator App.
Now grab your phone and if not done yet, download Authy.
Open the Authy App > + Add Account > Scan QR Code.
A Security Code is generated on your phone for your Amazon account.
Keep the Authy app open on your phone. You’re almost done!
Complete Enablement
Enter your Amazon Verification code and > Click “Verify code and continue”.
Click “Turn on two-step verification”.
2FA is now enabled for your Amazon account, with Authenticator app.
Working with Scans in DynamoDB
A Scan operation in Amazon DynamoDB reads every item in a table or a secondary index. By default, a Scan operation returns all of the data attributes for every item in the table or index. You can use the ProjectionExpression parameter so that Scan only returns some of the attributes, rather than all of them.
Scan always returns a result set. If no matching items are found, the result set is empty.
A single Scan request can retrieve a maximum of 1 MB of data. Optionally, DynamoDB can apply a filter expression to this data, narrowing the results before they are returned to the user.
Topics
Filter Expressions for Scan
If you need to further refine the Scan results, you can optionally prov >Scan results should be returned to you. All of the other results are discarded.
A filter expression is applied after a Scan finishes but before the results are returned. Therefore, a Scan consumes the same amount of read capacity, regardless of whether a filter expression is present.
A Scan operation can retrieve a maximum of 1 MB of data. This limit applies before the filter expression is evaluated.
With Scan, you can specify any attributes in a filter expression—including partition key and sort key attributes.
The syntax for a filter expression is identical to that of a condition expression. Filter expressions can use the same comparators, functions, and logical operators as a condition expression. For more information, Condition Expressions.
The following AWS Command Line Interface (AWS CLI) example scans the Thread table and returns only the items that were last posted to by a particular user.
Limiting the Number of Items in the Result Set
The Scan operation enables you to limit the number of items that it returns in the result. To do this, set the Limit parameter to the maximum number of items that you want the Scan operation to return, prior to filter expression evaluation.
For example, suppose that you Scan a table with a Limit value of 6 and without a filter expression. The Scan result contains the first six items from the table that match the key condition expression from the request.
Now suppose that you add a filter expression to the Scan. In this case, DynamoDB applies the filter expression to the six items that were returned, discarding those that do not match. The final Scan result contains six items or fewer, depending on the number of items that were filtered.
Paginating the Results
DynamoDB paginates the results from Scan operations. With pagination, the Scan results are divided into "pages" of data that are 1 MB in size (or less). An application can process the first page of results, then the second page, and so on.
A single Scan only returns a result set that fits within the 1 MB size limit. To determine whether there are more results and to retrieve them one page at a time, applications should do the following:
Examine the low-level Scan result:
If the result contains a LastEvaluatedKey element, proceed to step 2.
If there is not a LastEvaluatedKey in the result, then there are no more items to be retrieved.
Construct a new Scan request, with the same parameters as the previous one. However, this time, take the LastEvaluatedKey value from step 1 and use it as the ExclusiveStartKey parameter in the new Scan request.
Run the new Scan request.
In other words, the LastEvaluatedKey from a Scan response should be used as the ExclusiveStartKey for the next Scan request. If there is not a LastEvaluatedKey element in a Scan response, you have retrieved the final page of results. (The absence of LastEvaluatedKey is the only way to know that you have reached the end of the result set.)
You can use the AWS CLI to view this behavior. The AWS CLI sends low-level Scan requests to DynamoDB, repeatedly, until LastEvaluatedKey is no longer present in the results. Cons >Movies table but returns only the movies from a particular genre.
Ordinarily, the AWS CLI handles pagination automatically. However, in this example, the AWS CLI --page-size parameter limits the number of items per page. The --debug parameter prints low-level information about requests and responses.
If you run the example, the first response from DynamoDB looks similar to the following.
The LastEvaluatedKey in the response indicates that not all of the items have been retrieved. The AWS CLI then issues another Scan request to DynamoDB. This request and response pattern continues, until the final response.
The absence of LastEvaluatedKey indicates that there are no more items to retrieve.
The AWS SDKs handle the low-level DynamoDB responses (including the presence or absence of LastEvaluatedKey ) and prov >Scan results. For example, the SDK for Java document interface prov >java. util. Iterator support so that you can walk through the results one at a time.
For code examples in various programming languages, see the Amazon DynamoDB Getting Started Guide and the AWS SDK documentation for your language.
Counting the Items in the Results
In addition to the items that match your criteria, the Scan response contains the following elements:
ScannedCount — The number of items evaluated, before any ScanFilter is applied. A high ScannedCount value with few, or no, Count results indicates an inefficient Scan operation. If you d >ScannedCount is the same as Count.
Count — The number of items that remain, after a filter expression (if present) was applied.
If you do not use a filter expression, ScannedCount and Count have the same value.
If the size of the Scan result set is larger than 1 MB, ScannedCount and Count represent only a partial count of the total items. You need to perform multiple Scan operations to retrieve all the results (see Paginating the Results).
Each Scan response contains the ScannedCount and Count for the items that were processed by that particular Scan request. To get grand totals for all of the Scan requests, you could keep a running tally of both ScannedCount and Count.
Capacity Units Consumed by Scan
You can Scan any table or secondary index. Scan operations consume read capacity units, as follows.
| Table | The table's provisioned read capacity. |
| Global secondary index | The index's provisioned read capacity. |
| Local secondary index | The base table's provisioned read capacity. |
By default, a Scan operation does not return any data on how much read capacity it consumes. However, you can specify the ReturnConsumedCapacity parameter in a Scan request to obtain this information. The following are the val >ReturnConsumedCapacity :
NONE — No consumed capacity data is returned. (This is the default.)
TOTAL — The response includes the aggregate number of read capacity units consumed.
INDEXES — The response shows the aggregate number of read capacity units consumed, together with the consumed capacity for each table and index that was accessed.
DynamoDB calculates the number of read capacity units consumed based on item size, not on the amount of data that is returned to an application. For this reason, the number of capacity units consumed is the same whether you request all of the attributes (the default behavior) or just some of them (using a projection expression). The number is also the same whether or not you use a filter expression.
Read Consistency for Scan
A Scan operation performs eventually consistent reads, by default. This means that the Scan results might not reflect changes due to recently completed PutItem or UpdateItem operations. For more information, see Read Consistency.
If you require strongly consistent reads, as of the time that the Scan begins, set the ConsistentRead parameter to true in the Scan request. This ensures that all of the write operations that completed before the Scan began are included in the Scan response.
Setting ConsistentRead to true can be useful in table backup or replication scenarios, in conjunction with DynamoDB Streams. You first use Scan with ConsistentRead set to true to obtain a consistent copy of the data in the table. During the Scan, DynamoDB Streams records any additional write activity that occurs on the table. After the Scan is complete, you can apply the write activity from the stream to the table.
A Scan operation with ConsistentRead set to true consumes twice as many read capacity units as compared to leaving ConsistentRead at its default value ( false ).
Parallel Scan
By default, the Scan operation processes data sequentially. Amazon DynamoDB returns data to the application in 1 MB increments, and an application performs additional Scan operations to retrieve the next 1 MB of data.
The larger the table or index being scanned, the more time the Scan takes to complete. In addition, a sequential Scan might not always be able to fully use the provisioned read throughput capacity: Even though DynamoDB distributes a large table's data across multiple physical partitions, a Scan operation can only read one partition at a time. For this reason, the throughput of a Scan is constrained by the maximum throughput of a single partition.
To address these issues, the Scan operation can logically div >Scan request with the following parameters:
Segment — A segment to be scanned by a particular worker. Each worker should use a different value for Segment.
TotalSegments — The total number of segments for the parallel scan. This value must be the same as the number of workers that your application will use.
The following diagram shows how a multithreaded application performs a parallel Scan with three degrees of parallelism.
In this diagram, the application spawns three threads and assigns each thread a number. (Segments are zero-based, so the first number is always 0.) Each thread issues a Scan request, setting Segment to its designated number and setting TotalSegments to 3. Each thread scans its designated segment, retrieving data 1 MB at a time, and returns the data to the application's main thread.
The values for Segment and TotalSegments apply to indiv >Scan requests, and you can use different values at any time. You might need to experiment with these values, and the number of workers you use, until your application achieves its best performance.
A parallel scan with a large number of workers can easily consume all of the provisioned throughput for the table or index being scanned. It is best to avoid such scans if the table or index is also incurring heavy read or write activity from other applications.
To control the amount of data returned per request, use the Limit parameter. This can help prevent situations where one worker consumes all of the provisioned throughput, at the expense of all other workers.
Important Update: Amazon Local has Stopped Selling Daily Deals
Effective December 18, 2015, Amazon Local stopped selling daily deals at local. amazon. com and on the Amazon Local app. Deals you have already purchased are not affected by this change.
What this means:
- The promotional and paid value of any new or unused vouchers remain valid as specified on the vouchers. You will still be able to redeem valid vouchers even after December 18, 2015.
You can continue to access your used and unused vouchers by visiting local. amazon. com/purchases.
Please see below the answers to Frequently Asked Questions:
What happened? Is there a different Amazon deals service?
- Effective December 18, 2015, we have stopped selling Amazon Local daily deals. Merchants will no longer be able to sell deals and customers will no longer be able to buy deals at www. local. amazon. com and on the Amazon Local app. We are only going to stop selling daily deals for local merchants at local. amazon. com and on the Amazon Local app. Amazon’s Deal of the Day, Gold Box Deals, and Kindle Daily Deals are not affected by this announcement.
Can I still use my voucher?
- Deals you have already purchased will not be affected by this change. The promotional and paid value of any new or unused vouchers remain valid as specified on the vouchers. You will still be able to redeem valid vouchers even after December 18, 2015.
Can I just get a refund?
- We encourage you to use your voucher as intended whenever possible, but please let us know if you encounter any issues. To review our complete refund policy, please see the Refund Policy section of this page.
What if the merchant won't honor my voucher?
- If you encounter any issues redeeming your voucher, please contact us about your experience so we can take the appropriate action.
Will my Amazon Local account page go away? Can I still access my vouchers?
- You can access your used and unused vouchers by visiting local. amazon. com/purchases.
Is Amazon getting out of local commerce?
- Amazon still helps connect customers to local businesses through a variety of offerings - including Amazon Home Services and Prime Now Restaurants.
What if I have a problem with my voucher after December 18, 2015? Who will help me?
- If you have any questions or need any assistance, you may continue to email us or request a call back in the Contact us section.
What will happen to my account credit?
- As of December 18, 2015, we have stopped selling Amazon Local Daily Deals, and unused promotional credits are no longer valid.
Where is my daily email?
- As of October 30, 2015, we have stopped sending you daily deal emails.
Deals & Vouchers
About Vouchers
When you bought a deal on the website, we sent you a voucher redeemable for the goods or services listed. You can check the What You Need to Know section of individual deals for redemption instructions, merchant and ticket provider contact information, purchase limits, expiration dates, and more.
Most vouchers require that you use the entire value in a single visit, but some businesses allow partial uses of vouchers. There are often different expiration terms for the paid and promotional values of a deal. The paid value, or dollar amount you paid, usually expires after the promotional value. The promotional value is the amount listed next to Savings on the deal. If the promotional value has expired but the paid value hasn't, the merchant must still honor use of the paid value. You may need to pay the difference between the paid value and the full price, though.
In all states, the paid value will remain valid for up to five years. Due to state requirements that prohibit expiration periods, the paid value won't expire in California, Connecticut, Florida, Maine, Massachusetts, Minnesota, Montana, New Hampshire, New Jersey, North Dakota, Oregon, Rhode Island, and Washington.
Note: If you've redeemed a coupon on Amazon Local instead of a voucher, the entire offer will expire at the time listed when you redeemed the coupon.
If you have any questions about your voucher, please contact the merchant. If you have any questions about seating or the pick-up name on your ticket for an event deal, you can contact the ticket provider.
Refund Policy
About Our Refund Policy
Most unused vouchers are eligible for a refund within 30 days of purchase. If a business closes permanently, we will always refund any unused vouchers. Your refund request will be processed to the original payment method instantly. However, it may take 2-3 business days for it to display on your credit card statement.
Refunds are subject to the business's policy, which can be found in the "What You Need to Know" section of every travel offer. If you have met the conditions and would like a refund, fill out either the phone or email contact information in the "Contact us" section on this page.
Gifts & Gifting
Redeem a Gift Voucher
If you received an Amazon Local voucher as a gift, you can add it to Your Account by signing in or setting up an account.
To add your voucher to Your Account:
Click Get your gift now in the Amazon Local e-mail you received. Follow the on-screen instructions. View your gift in Your Orders.
Once you've added your voucher to Your Account, you can check the redemption instructions, scheduling requirements, available locations, and expiration dates.
Note: We won't disclose if or when you've used a gift with the gift giver; they'll only know if the gift has been claimed. If you want to return a gift for a refund, you'll need to contact the gift giver.
Manage Amazon Local on Mobile
You can use the Amazon Local app to redeem your vouchers.
- Redeem Your Vouchers: Go to Your Vouchers and click on your deal to open your voucher code. Show the voucher code to the business so they can scan it.
Note:
- Some businesses require a printed copy of your voucher. If this is the case, it will be stated on your voucher so you will know in advance. If you're unable to redeem your voucher and can't resolve the issue with a manager at the business, please Contact Us.
Passcode Lock: Set up a 4-digit code to add an extra layer of protection by doing the following:
Go to Settings. Click on Passcode Lock. Click Turn on Passcode Lock. Enter a 4-digit passcode. Re-enter your passcode to confirm.
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Does Amazon have any Credit Card Offer? What kind of credit can I use to get special discount at Amazon?
You will enjoy Reward when you pay with specific credit cards.
Amazon Rewards Visa Signature Cards.
If you happen to have this MAGIC credit card, check the full conditions here.
Can I get special discounts if I Sign Up to be a new member of Amazon?
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