Implementing Voldemort aggregation queries using Java

Voldemort is a distributed key value storage system that provides functions for aggregate queries. Implementing aggregated queries for Voldemort using Java requires the following steps: 1. Import Dependencies: <dependency> <groupId>voldemort</groupId> <artifactId>voldemort-client</artifactId> <version>1.10.26</version> </dependency> 2. Create a connection: String bootstrapUrl=“ tcp://localhost:6666 Start address of Voldemort StoreClientFactory factory = new SocketStoreClientFactory(new ClientConfig().setBootstrapUrls(bootstrapUrl)); StoreClient<String, String>client=factory. getStoreClient ("storename")// Use the storage name of the aggregation query, such as' test_store ' 3. Use aggregate queries: -Total Statistics: String count = client.aggregate(AggregateType.COUNT, null, null); System. out. println ("total:"+count); -Sum: String sum = client.aggregate(AggregateType.SUM, "key", null); System. out. println ("Sum:"+sum); -Find maximum value: String max = client.aggregate(AggregateType.MAX, "key", null); System. out. println ("maximum value:"+max); -Find the minimum value: String min = client.aggregate(AggregateType.MIN, "key", null); System. out. println ("minimum value:"+min); -Average: String avg = client.aggregate(AggregateType.AVG, "key", null); System. out. println ("average:"+avg); -Query and Sum by Condition: List<String>queryKeys=Arrays. asList ("key1", "key2", "key3")// Key List for Query Criteria String sumWithCondition = client.aggregate(AggregateType.SUM, "key", queryKeys); System. out. println ("Sum that satisfies the condition:"+sumWithCondition); This way, you can use Java to implement various aggregation queries for Voldemort. Please ensure that the startup address and storage name of Voldemort are correctly configured, and select the appropriate aggregation type and query criteria as needed.