If you are an '80s kid, you might have had your fair share of popping candy rocks, which you can sometimes find as an offering to go with your latest ice cream craving. Sprinkle bits of honeycomb or your childhood cereal. Pour on the condensed milk or dulce de leche. One of the best parts about getting a scoop at your local shop is picking out the toppings. There are non-dairy milk ice creams made from plant-based milks like oat or almond and other plant-based products like avocado or sunflower butter. The dairy-free folks no longer have to order the only sorbet on the menu. Ice cream creators have also expanded into rethinking frozen yogurt, soft serve, and vegan options. Some shops boast flavors with even more unheard-of ingredients and combinations, like the savory herb tarragon or pineapple with pink peppercorns. Yes, you can find your classics, but also new concoctions like black sesame cookies and cream or honey lavender. The best shops nowadays offer fresh combinations and ingredients you may never have imagined could be made into ice cream. The range of flavors in ice cream shops has evolved since the olden days when flavors were mainly limited to vanilla, chocolate, and strawberry. Finally, the traffic was seamlessly switched to the new cluster, and the corrupted one was torn down.Ice cream is a treat all year round, although the frequency and volume consumed during the hotter months might eclipse the colder months. They analyzed the logged results and estimated that 0.009% of the data were corrupted in the old cluster. The team used a statistical sampling technique to validate the overall data migration process, inspecting a small subset of the data by comparing the data imported into the new cluster against the old one.īefore switching the traffic to the new cluster, the team created a setup where read requests were sent to both clusters, and the returned data was compared. The malformed data stream was used to analyze the data corruption's severity further. Using the Cassandra Sink Connector, the pipeline fed the sanitized data stream into the new Cassandra cluster. The data pipeline used a Stream SQL processor to define data sanitation criteria, splitting the data between valid and malformed streams. The Data Infrastructure team created a new Cassandra cluster on Kubernetes, benefiting from many hardware and software upgrades. High-Level View of Data Corruption Mitigation Pipeline (Source: Rebuilding a Cassandra cluster using Yelp’s Data Pipeline) They created a data pipeline using their PaaStorm streaming processor and the Cassandra Source connector that relies on Change Data Capture (CDC) feature, available in Cassandra from version 3.8. The team opted to use a design inspired by sortation systems used in the manufacturing industry to remove defective products from reaching the end of the production line. Also, based on corruption size estimates and recent data value, we opted not to restore the cluster to the last corruption free backed up state. Since the corruption was widespread, removing SSTables and running repairs wasn’t an option, as it would have led to data loss. Muhammad Junaid Muzammil, a software engineer at Yelp, explains the reasons for opting to rebuild the corrupted Cassandra cluster: Over time the situation was getting worse, impacting cluster health even further. The team has discovered that one of the Cassandra clusters running on EC2 was affected by data corruption that regular data maintenance tools could not address. Initially, Cassandra clusters were hosted directly on EC2, but more recently, they transitioned most of them to Kubernetes using a dedicated operator. The company tends to run many smaller Cassandra clusters for specific use cases based on data, traffic, and business requirements. Yelp uses Apache Cassandra as the data store for many parts of its platform. The team explored many potential options to address the data corruption issue, however ultimately had to move the data into a new cluster to remove corrupted records in the process. Yelp created a solution to sanitize data from the corrupted Apache Cassandra cluster utilizing its data streaming architecture.
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