kadirozde commented on a change in pull request #897:
URL: https://github.com/apache/phoenix/pull/897#discussion_r502979620
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File path:
phoenix-core/src/main/java/org/apache/phoenix/hbase/index/IndexRegionObserver.java
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@@ -166,12 +175,36 @@ public static void
setFailDataTableUpdatesForTesting(boolean fail) {
private HashSet<ImmutableBytesPtr> rowsToLock = new HashSet<>();
// The current and next states of the data rows corresponding to the
pending mutations
private HashMap<ImmutableBytesPtr, Pair<Put, Put>> dataRowStates;
- // Data table pending mutations
+ // The previous concurrent batch contexts
+ private HashMap<ImmutableBytesPtr, BatchMutateContext>
lastConcurrentBatchContext = null;
+ // The latches of the threads waiting for this batch to complete
+ private List<CountDownLatch> waitList = null;
private Map<ImmutableBytesPtr, MultiMutation> multiMutationMap;
private BatchMutateContext(int clientVersion) {
this.clientVersion = clientVersion;
}
+
+ public BatchMutatePhase getCurrentPhase() {
+ return currentPhase;
+ }
+
+ public Put getNextDataRowState(ImmutableBytesPtr rowKeyPtr) {
+ Pair<Put, Put> rowState = dataRowStates.get(rowKeyPtr);
+ if (rowState != null) {
+ return dataRowStates.get(rowKeyPtr).getSecond();
Review comment:
> > Algorithm makes sense, it's a nice simplification, and just had a
few nits on the code. My bigger concern is the potential increase in tail
latency on writes to hot rows in write latency-sensitive applications. Would be
good to get some perf numbers.
>
> Good suggestion. I will do some perf runs and update the Jira.
@gjacoby126, I have updated the design doc with the performance testing
results (
https://docs.google.com/document/d/12H_MwsPtyM0ORiBHclBpBLZWtm4zpY_cc5y_pwtgMUk/edit#heading=h.yt8378ps0k6e)
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