J-HowHuang commented on code in PR #15368:
URL: https://github.com/apache/pinot/pull/15368#discussion_r2013079977
##########
pinot-controller/src/main/java/org/apache/pinot/controller/helix/core/rebalance/TableRebalancer.java:
##########
@@ -733,15 +793,79 @@ 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.ConsumingSegmentSummary consumingSegmentSummary =
+ isOfflineTable ? null : new
RebalanceSummaryResult.ConsumingSegmentSummary(
+ consumingSegmentsToBeMoved, maxBytesToCatchUpForConsumingSegments,
bytesToCatchUpForServers);
RebalanceSummaryResult.SegmentInfo segmentInfo = new
RebalanceSummaryResult.SegmentInfo(totalSegmentsToBeMoved,
maxSegmentsAddedToServer, averageSegmentSizeInBytes,
totalEstimatedDataToBeMovedInBytes,
- replicationFactor, numSegmentsInSingleReplica,
numSegmentsAcrossAllReplicas);
+ replicationFactor, numSegmentsInSingleReplica,
numSegmentsAcrossAllReplicas, consumingSegmentSummary);
LOGGER.info("Calculated rebalance summary for table: {} with
rebalanceJobId: {}", tableNameWithType,
rebalanceJobId);
return new RebalanceSummaryResult(serverInfo, segmentInfo);
}
+ @VisibleForTesting
+ ConsumingSegmentInfoReader getConsumingSegmentInfoReader() {
+ if (_executorService == null || _connectionManager == null ||
_pinotHelixResourceManager == null) {
+ return null;
+ }
+ return new ConsumingSegmentInfoReader(_executorService,
_connectionManager, _pinotHelixResourceManager);
+ }
+
+ /**
+ * Fetches the consuming segment info for the table and calculates the
number of bytes to catch up for each consuming
+ * segment. Returns a map from segment name to the number of bytes to catch
up for that consuming segment. Return
+ * null if failed to obtain info for any consuming segment.
+ */
+ private Map<String, Integer> getConsumingSegmentsBytesToCatchUp(String
tableNameWithType) {
+ ConsumingSegmentInfoReader consumingSegmentInfoReader =
getConsumingSegmentInfoReader();
+ if (consumingSegmentInfoReader == null) {
+ LOGGER.warn("ConsumingSegmentInfoReader is null, cannot calculate
consuming segments info for table: {}",
+ tableNameWithType);
+ return null;
+ }
+ Map<String, Integer> segmentToBytesToCatchUp = new HashMap<>();
+ try {
+ ConsumingSegmentInfoReader.ConsumingSegmentsInfoMap
consumingSegmentsInfoMap =
+
consumingSegmentInfoReader.getConsumingSegmentsInfo(tableNameWithType, 30_000);
+ for (Map.Entry<String,
List<ConsumingSegmentInfoReader.ConsumingSegmentInfo>> entry
+ : consumingSegmentsInfoMap._segmentToConsumingInfoMap.entrySet()) {
+ String segmentName = entry.getKey();
+ List<ConsumingSegmentInfoReader.ConsumingSegmentInfo>
consumingSegmentInfoList = entry.getValue();
+ SegmentZKMetadata segmentZKMetadata =
+
ZKMetadataProvider.getSegmentZKMetadata(_helixManager.getHelixPropertyStore(),
tableNameWithType,
+ segmentName);
+ if (segmentZKMetadata == null) {
+ LOGGER.warn("Cannot find SegmentZKMetadata for segment: {} in table:
{}", segmentName, tableNameWithType);
+ return null;
+ }
+ if (consumingSegmentInfoList != null) {
+ String startOffset = segmentZKMetadata.getStartOffset();
+ if (startOffset == null) {
+ LOGGER.warn("Start offset is null for segment: {} in table: {}",
segmentName, tableNameWithType);
+ return null;
+ }
+ if (!consumingSegmentInfoList.isEmpty()) {
+ // this value should be the same regardless of which server the
consuming segment info is from, use the
+ // first in the list here
+ int bytesToCatchUp =
consumingSegmentInfoList.get(0)._partitionOffsetInfo._latestUpstreamOffsetMap.values()
Review Comment:
Apparently my brain tried to understand it as byte offset 🤦♂️. Is it
message the unit of the Kafka offset? How can we translate this into something
else useful?
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