Rdd sortby descending, May 24, 2014 · If you only need the top 10, use rdd. RDD. Jul 23, 2025 · Method 2: Sort Pyspark RDD by multiple columns using orderBy () function The function which returns a completely new data frame sorted by the specified columns either in ascending or descending order is known as the orderBy () function. rdd. top(10). Sorting would be O (rdd. RDD sortBy always sort in ascending order. sortByKey() function pyspark. count log rdd. Even though, your field is a number, so you can get a reverse ordering just by multiplying it by -1. We would like to show you a description here but the site won’t allow us. sortBy(keyfunc: Callable[[T], S], ascending: bool = True, numPartitions: Optional[int] = None) → RDD [T] ¶ Sorts this RDD by the given keyfunc Examples Code Description: Uses sortBy with a lambda function to sort RDD rdd in descending order based on the second element of each tuple, using negative value for descending order. sortBy ¶ RDD. top makes one parallel pass through the data, collecting the top N in each partition in a heap, then merges the heaps. count), and incur a lot of data transfer — it does a shuffle, so all of the data would be transmitted over the network. It is an O (rdd. Mar 17, 2018 · 0 You almost got it. I used a case class to make your code a bit more readable. Nov 17, 2014 · For those who came to this post searching for a PySpark solution: rdd. sortBy(lambda pair:pair[1]) Parameters ascendingbool, optional, default True sort the keys in ascending or descending order numPartitionsint, optional the number of partitions in new RDD keyfuncfunction, optional, default identity mapping a function to compute the key Returns RDD a new RDD. Parameters keyfuncfunction a function to compute the key ascendingbool, optional, default True sort the keys in ascending or descending order numPartitionsint, optional the number of partitions in new RDD Returns RDD a new RDD Jan 29, 2017 · 12 You have almost done it! you need add additional parameter for descending order as RDD sortBy() method arrange elements in ascending order by default. It avoids sorting, so it is faster. A better technique is to sort the RDD by both the key and value, which we can do by combining the key and value into a single string and then sorting on that string. Nov 5, 2025 · Spark sortByKey() transformation is an RDD operation that is used to sort the values of the key by ascending or descending order. What is the SortBy Operation in PySpark? The sortBy operation in PySpark is a transformation that takes an RDD and sorts its elements based on a user-defined key function, producing a new RDD with the elements in the specified order. count) operation.
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