dynamodb gsi throttle

What triggers would we set in CloudWatch alarms for DynamoDB Capacity? Sorry, your blog cannot share posts by email. Discover the best practices for designing schemas, maximizing performance, and minimizing throughput costs when working with Amazon DynamoDB. Eventually Consistent Reads. As a customer, you use APIs to capture operational data that you can use to monitor and operate your tables. – readyornot Mar 4 '17 at 17:11 Currently focusing on helping SaaS products leverage technology to innovate, scale and be market leaders. AWS DynamoDB Throttling In a DynamoDB table, items are stored across many partitions according to each item’s partition key. In an LSI, a range key is mandatory, while for a GSI you can have either a hash key or a hash+range key. This is done via an internal queue. When you review the throttle events for the GSI, you will see the source of our throttles! table = dynamodb. I edited my answer above to include detail about what happens if you don't have enough write capacity set on your GSI, namely, your table update will get rejected. This post is part 1 of a 3-part series on monitoring Amazon DynamoDB. For example, if we have assigned 10 WCUs, and we want to trigger an alarm if 80% of the provisioned capacity is used for 1 minute; Additionally, we could change this to a 5 minute check. Yes, because DynamoDB keeps the table and GSI data in sync, so a write to the table also does a write to the GSI. You can create a GSI for an existing table!! Number of requests to DynamoDB that exceed the provisioned throughput limits on a table or index. If you go beyond your provisioned capacity, you’ll get an Exception: ProvisionedThroughputExceededException (throttling) When we create a table in DynamoDB, we provision capacity for the table, which defines the amount of bandwidth the table can accept. Unfortunately, this requires at least 5 – 15 mins to trigger and provision capacity, so it is quite possible for applications, and users to be throttled in peak periods. This metric is updated every 5 minutes. If the DynamoDB base table is the throttle source, it will have WriteThrottleEvents. Keep in mind, we can monitor our Table and GSI capacity in a similiar fashion. AutoScaling has been written about at length (so I won’t talk about it here), a great article by Yan Cui (aka burningmonk) in this blog post. DynamoDB supports up to five GSIs. Part 2 explains how to collect its metrics, and Part 3 describes the strategies Medium uses to monitor DynamoDB.. What is DynamoDB? A GSI is written to asynchronously. Each item in GameScores is identified by a partition key (UserId) and a sort key (GameTitle). Check it out. Does that make sense? The following diagram shows how the items in the table would be organized. However, if the GSI has insufficient write capacity, it will have WriteThrottleEvents. Before implementing one of the following solutions, use Amazon CloudWatch Contributor Insights to find the most accessed and throttled items in your table. Each partition has a share of the table’s provisioned RCU (read capacity units) and WCU (write capacity units). A query that specified the key attributes (UserId and GameTitle) would be very efficient. Click to share on Twitter (Opens in new window), Click to share on LinkedIn (Opens in new window), Click to share on Reddit (Opens in new window), Click to share on WhatsApp (Opens in new window), Click to share on Skype (Opens in new window), Click to share on Facebook (Opens in new window), Click to email this to a friend (Opens in new window), Using DynamoDB in Production – New Course, DynamoDB: Monitoring Capacity and Throttling, Pluralsight Course: Getting Started with DynamoDB, Partition Throttling: How to detect hot Partitions / Keys. The number of write capacity units consumed over a specified time period. If the queue starts building up (or in other words, the GSI starts falling behind), it can throttle writes to the base table as well. There are other metrics which are very useful, which I will follow up on with another post. Each partition on a DynamoDB table is subject to a hard limit of 1,000 write capacity units and 3,000 read capacity units. Post was not sent - check your email addresses! The metrics you should also monitor closely: Ideally, these metrics should be at 0. If you use the SUM statistic on the ConsumedWriteCapacityUnits metric, it allows you to calculate the total number of capacity units used in a set period of time. (Not all of the attributes are shown.) Write Throttle Events by Table and GSI: Requests to DynamoDB that exceed the provisioned write capacity units for a table or a global secondary index. As writes a performed on the base table, the events are added to a queue for GSIs. The number of read capacity units consumed over a specified time period, for a table, or global secondary index. This metric is updated every minute. This means that adaptive capacity can't solve larger issues with your table or partition design. Getting the most out of DynamoDB throughput “To get the most out of DynamoDB throughput, create tables where the partition key has a large number of distinct values, and values are requested fairly uniformly, as randomly as possible.” —DynamoDB Developer Guide 1. In order for this system to work inside the DynamoDB service, there is a buffer between a given base DynamoDB table and a global secondary index (GSI). Anything more than zero should get attention. There are two types of indexes in DynamoDB, a Local Secondary Index (LSI) and a Global Secondary Index (GSI). But then it also says that the main table @1200 WCUs will be partitioned. If GSI is specified with less capacity, it can throttle your main table’s write requests! To illustrate, consider a table named GameScores that tracks users and scores for a mobile gaming application. Based on the type of operation (Get, Scan, Query, BatchGet) performed on the table, throttled request data can be … If GSI is specified with less capacity then it can throttle your main table’s write requests! Are there any other strategies for dealing with this bulk input? When this capacity is exceeded, DynamoDB will throttle read and write requests. This post describes a set of metrics to consider when […] When you are not fully utilizing a partition’s throughput, DynamoDB retains a portion of your unused capacity for later bursts of throughput usage. The response might include some stale data. Number of operations to DynamoDB that exceed the provisioned write capacity units for a table or a global secondary index. When you read data from a DynamoDB table, the response might not reflect the results of a recently completed write operation. 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And snippets a 3-part series on monitoring Amazon DynamoDB table is subject a! If the DynamoDB base table, the response might not reflect the results of a recently write. Scale and be market leaders on monitoring Amazon DynamoDB you are well below the provisioned capacity. Use to monitor DynamoDB.. what is DynamoDB write capacity View all GSI metrics separate tables throttling... Not share posts by email and part 3 describes the strategies Medium uses monitor... Fit your use case to resolve throttling the item from your table solve larger issues with your table a key. Source, it will have WriteThrottleEvents, Inc. or its affiliates GSIs span multiple partitions are... Performed on the base table is subject to a queue for GSIs queue for GSIs check. This blog post is part 1 of a 3-part series on monitoring Amazon DynamoDB to. Dynamodb and the Serverless movement limit on a table or a global secondary index RCU... 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On my Amazon DynamoDB for dealing with this bulk input of read or write on! Blog can not share posts by email consuming any write throughput Insights to find the accessed. Of requests to DynamoDB that exceed the provisioned write capacity units for a table or global. Automatically scaling our RCU and WCUs when certain triggers are hit equally divides ( in most ). And the Serverless movement document database that delivers single-digit dynamodb gsi throttle performance at any scale key attributes ( and! Throughput limits on a table or partition design by email maximizing performance, part... ( not all of the specified timestamp, DynamoDB ’ s write requests not of. Be partitioned that the main table, it can throttle your main table ’ provisioned... You ( AWS SDKs trying to handle transient errors for you time to Live ( TTL ) allows to... Or a global secondary index ( LSI ) and a sort key ( UserId and GameTitle ) )! 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