![]() Using Stream : Another way is to convert given list to stream, then stream to set :- // Creating a list of strings Adds all of the elements in the list to the target set Creating a set with the same number of members in the list List list = Arrays.asList("One", "Two", "Three", "Four") Īpache Commons Collections : You may also use the Commons Collections API to convert a List to a Set :- // Creating a list of strings Remember that, converting from List to Set will remove duplicates from collection because List supports duplicates but Set does not support duplicates in Java.ĭirect Conversion : The most common and simple way to convert a List to a Set // Creating a list of strings Note that more efficient implementations of Set and Map are available through Trove (and other locations). (Remember: Optimize later!) If time efficiency matters use a HashSet if space efficiency matters, look at TreeSet. ![]() If you're after sorting, then consider the TreeSet. So, if you just care about uniqueness, use the HashSet. This depends on either compareTo() (from the comparable interface) or compare() (from the comparator) to ensure uniqueness. If it doesn't then you may want to use a comparator: Set lSet = new TreeSet(someComparator) (For more on equality look here)Īn alternative that gives a sorted set is: new TreeSet(myList) In this case, duplication is identified using the. Will give you an unsorted set which doesn't have duplicates. Use JSON, querying, time series, and other capabilities provided by Redis Stack.I agree with sepp2k, but there are some other details that might matter: new HashSet(myList).Write your own Redis module using the modules API or check out the community-supported modules.Write your own custom server-side functions in Lua. ![]() To extend the features provided by the included data types, use one of these options: The Redis HyperLogLog data structures provide probabilistic estimates of the cardinality (i.e., number of elements) of large sets. Redis bitfields efficiently encode multiple counters in a string value.īitfields provide atomic get, set, and increment operations and support different overflow policies. Redis bitmaps let you perform bitwise operations on strings.
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