ConcurrentSkipListMap maintains sorted keys while allowing concurrent access; its traversal is weakly consistent rather than a single frozen snapshot.
Java ConcurrentSkipListMap: ordered concurrent lookups and live ranges
Java 8+. This is a complete program using JDK classes.
Order is a requirement, not a bonus
A dispatch board needs the next due job and a range of jobs before a cutoff. A plain concurrent hash map supplies independent keyed operations but does not supply sorted nearest-key queries. This board needs an ordered map contract.
A subMap is a range view backed by the original map. Removing a job through the view removes that mapping from the board. Keep a copied snapshot when a report must stay unchanged after it is handed to another component; a live range means later updates can be visible.
Individual concurrent operations still do not make a multi-step decision atomic. Checking a value and then removing a key can remove a newer replacement. Use a conditional remove(key, expectedValue) for that claim, and decide how the caller handles a failed claim.
Settle identity and comparison
Comparator equivalence decides whether two sorted keys occupy the same position. Include the necessary tie-breaker if two jobs with the same due time must remain distinct. Null keys and values are not accepted here, so absence cannot be represented by inserting a null mapping.
Working program
import java.util.concurrent.ConcurrentSkipListMap;
import java.util.concurrent.ConcurrentNavigableMap;
public class DueJobBoard {
public static void main(String[] args) {
ConcurrentSkipListMap<Integer, String> jobs = new ConcurrentSkipListMap<>();
jobs.put(30, "dispatch-30"); jobs.put(10, "dispatch-10"); jobs.put(20, "dispatch-20");
System.out.println(jobs.ceilingKey(15));
ConcurrentNavigableMap<Integer, String> early = jobs.headMap(25, false);
System.out.println(early.keySet());
System.out.println(jobs.remove(20, "dispatch-20"));
System.out.println(early.keySet());
}
}Output
20
[10, 20]
true
[10]Costs and boundaries
Search, insertion and removal have expected O(log n) cost. A traversal costs work proportional to the visited mappings and is not a transactional snapshot. Copying a report adds O(k) entries for a range of k keys and still shares mutable values unless copied separately.
Common Mistakes
- Do not treat a weakly consistent traversal as an atomic report.
- A backed range is not independent storage.
- A key-only removal can discard a replacement inserted by another worker.
