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Hadoop > Learn Hadoop > What is the difference between aggregateByKey and combineByKey...
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What is the difference between aggregateByKey and combineByKey in Apache Spark?

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Technical Lead and Architect - BigData,Databricks, SnowFlake,Pyspark,Azure Cloud ,Confluent Kafka

aggregatByKey is similar to reduceByKey and groupByKey.it is used to get aggregation value based on initially assigned value with reference to key . Example avg ,sum. combineByKey is used during map phase and before reduce operation .it reduce overload burden on reduce operation.combineByKey works on...
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aggregatByKey is similar to reduceByKey and groupByKey.it is used to get aggregation value based on initially assigned value with reference to key . Example avg ,sum. combineByKey is used during map phase and before reduce operation .it reduce overload burden on reduce operation.combineByKey works on single key based aggregation .it is bit complication so need to avoid . read less
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ReduceByKey : Data is combined so that at each partition there is at most one value for each key and then shuffle happens and it is sent over the network to some particular executor for some action such as reduce. groupByKey: It does not merge the values for the key but directly the shuffle step happens and...
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ReduceByKey : Data is combined so that at each partition there is at most one value for each key and then shuffle happens and it is sent over the network to some particular executor for some action such as reduce. groupByKey: It does not merge the values for the key but directly the shuffle step happens and here lot of data gets sent to each partition, almost same as the initial data. aggregateByKey() : aggregateByKey() is quite different from reduceByKey. What happens is that reduceByKey is sort of a particular case of aggregateByKey. combineByKey: The combineByKey call is just such an optimization. When using combineByKey values are merged into one value at each partition then each partition value is merged into a single value. It’s worth noting that the type of the combined value does not have to match the type of the original value and often times it won’t be. read less
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