J-HowHuang commented on code in PR #15368:
URL: https://github.com/apache/pinot/pull/15368#discussion_r2017652432
##########
pinot-controller/src/main/java/org/apache/pinot/controller/helix/core/rebalance/TableRebalancer.java:
##########
@@ -733,15 +781,148 @@ private RebalanceSummaryResult
calculateDryRunSummary(Map<String, Map<String, St
serversGettingNewSegments, serverSegmentChangeInfoMap);
// TODO: Add a metric to estimate the total time it will take to
rebalance. Need some good heuristics on how
// rebalance time can vary with number of segments added
+ RebalanceSummaryResult.ConsumingSegmentToBeMovedSummary
consumingSegmentToBeMovedSummary =
+ isOfflineTable ? null : getConsumingSegmentSummary(tableNameWithType,
newServersToConsumingSegmentMap);
RebalanceSummaryResult.SegmentInfo segmentInfo = new
RebalanceSummaryResult.SegmentInfo(totalSegmentsToBeMoved,
maxSegmentsAddedToServer, averageSegmentSizeInBytes,
totalEstimatedDataToBeMovedInBytes,
- replicationFactor, numSegmentsInSingleReplica,
numSegmentsAcrossAllReplicas);
+ replicationFactor, numSegmentsInSingleReplica,
numSegmentsAcrossAllReplicas, consumingSegmentToBeMovedSummary);
LOGGER.info("Calculated rebalance summary for table: {} with
rebalanceJobId: {}", tableNameWithType,
rebalanceJobId);
return new RebalanceSummaryResult(serverInfo, segmentInfo);
}
+ private RebalanceSummaryResult.ConsumingSegmentToBeMovedSummary
getConsumingSegmentSummary(String tableNameWithType,
+ Map<String, Set<String>> newServersToConsumingSegmentMap) {
+ int numConsumingSegmentsToBeMoved =
+ newServersToConsumingSegmentMap.values().stream().reduce(0, (a, b) ->
a + b.size(), Integer::sum);
+ Set<String> uniqueConsumingSegments =
+
newServersToConsumingSegmentMap.values().stream().flatMap(Set::stream).collect(Collectors.toSet());
+ Map<String, SegmentZKMetadata> consumingSegmentZKmetadata = new
HashMap<>();
+ uniqueConsumingSegments.forEach(segment ->
consumingSegmentZKmetadata.put(segment,
+
ZKMetadataProvider.getSegmentZKMetadata(_helixManager.getHelixPropertyStore(),
tableNameWithType, segment)));
+ Map<String, Integer> consumingSegmentsOffsetsToCatchUp =
+ getConsumingSegmentsOffsetsToCatchUp(tableNameWithType,
consumingSegmentZKmetadata);
+ Map<String, Integer> consumingSegmentsAge =
getConsumingSegmentsAge(tableNameWithType, consumingSegmentZKmetadata);
+
+ Map<String, Integer> topTenOffset;
+ Map<String, RebalanceSummaryResult.ConsumingSegmentSummaryPerServer>
consumingSegmentSummaryPerServer =
+ new HashMap<>();
+ if (consumingSegmentsOffsetsToCatchUp != null) {
+ topTenOffset = new LinkedHashMap<>();
+ consumingSegmentsOffsetsToCatchUp.entrySet()
+ .stream()
+ .sorted(
+ Collections.reverseOrder(Map.Entry.comparingByValue()))
+ .limit(TOP_N_IN_CONSUMING_SEGMENT_SUMMARY)
+ .forEach(entry -> topTenOffset.put(entry.getKey(),
entry.getValue()));
+ newServersToConsumingSegmentMap.forEach((server, segments) -> {
+ int totalOffsetsToCatchUp =
+
segments.stream().mapToInt(consumingSegmentsOffsetsToCatchUp::get).sum();
+ consumingSegmentSummaryPerServer.put(server, new
RebalanceSummaryResult.ConsumingSegmentSummaryPerServer(
+ segments.size(), totalOffsetsToCatchUp));
+ });
+ } else {
+ topTenOffset = null;
+ newServersToConsumingSegmentMap.forEach((server, segments) -> {
+ consumingSegmentSummaryPerServer.put(server, new
RebalanceSummaryResult.ConsumingSegmentSummaryPerServer(
+ segments.size(), null));
+ });
+ }
+
+ Map<String, Integer> oldestTenSegment;
+ oldestTenSegment = new LinkedHashMap<>();
+ consumingSegmentsAge.entrySet()
+ .stream()
+ .sorted(
+ Map.Entry.comparingByValue())
+ .limit(TOP_N_IN_CONSUMING_SEGMENT_SUMMARY)
+ .forEach(entry -> oldestTenSegment.put(entry.getKey(),
entry.getValue()));
+
+ return new
RebalanceSummaryResult.ConsumingSegmentToBeMovedSummary(numConsumingSegmentsToBeMoved,
+ newServersToConsumingSegmentMap.size(), topTenOffset,
oldestTenSegment, consumingSegmentSummaryPerServer);
+ }
+
+ private Map<String, Integer> getConsumingSegmentsAge(String
tableNameWithType,
Review Comment:
This does not filter the top, it gets all and without sorting
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