HBASE-26955 Improvement of the pause time between retries in Rpc caller

[functioner]

Propose a patch for HBASE-26955
Probably this patch should be further improved, because it ignores the backoff factor when not encountering exceptions of dead server and always use the short delay for retries. I guess probably we need a separate retry loop to handle this issue, and enforce the retry backoff mechanism there. I am looking for suggestions and comments. Thanks!

[Apache-HBase]

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[Apache-HBase]

🎊 +1 overall

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[Apache-HBase]

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[Apache9]

In general I do not think we should use the same logic in RemoteProcedureResultReporter. At region server side we know the procedure result is very important so we sould try to send the result back to master soon.

But at client side, changing the backoff logic has big side effect, it will greatly increase the load of the cluster, especially what you change here is for almost all rpc request, not only the admin rpc request.

So in general I suggest we keep the code unchanged. For your scenario, if you really want to retry quickly, you can set retry number to 1, then the hbase client will fail soon and you can retry immediately by yourself.

WDYT?

Thanks.

[functioner]

@Apache9
I think you have a fair point.
I think the key question here is how quickly can we retry without taking high risk of greatly increasing the load of the server. To answer this question, we need to re-examine the goals of using exponential backoff and whether our code implementation complies with this design goal.
So far I haven't found a very detailed discussion on the rationales for adding exponential backoff (maybe HBASE-511?) to the current HBase client. But from the code comments and Jira issues and wikipedia, I guess the goals of HBase's exponential backoff may include:

1. When the server is not available, the client should avoid to frequently resend the requests without getting substantial responses. The exponential backoff is a trade-off between waiting for the server startup and resending the request.
2. When the clients are sending too many requests to the server, a failed request is signal to let the clients slow down, so that the clients' request rates reach an acceptable equilibrium.
3. When the server tries to handle the request and encounters some error, the server may want the client to wait a little more time so that the server can have enough time to tolerate the error. The exponential backoff is a trade-off between waiting for the fault tolerance and resending the request.

In general, I feel that if we can find the reason for the request error (e.g., server unavailable), we can do the fine-grained exponential backoff separately, based on the error. For example, I find that in the current master branch of Hadoop and Kafka, the client tries to connect to the server with exponential backoff pause time, and after building the connection, the client uses another exponential backoff retry loop to handle the potential exception. They do not share the same exponential backoff retry loop because they are handling different problems. Blindly handling those errors in one single exponential backoff retry loop may result in unnecessary long pause time, without solving any problem.

Specifically, in our case, the HMaster checks the initialization before handling the clients' requests. My client gets these exceptions, waits for this initialization, using the exponential backoff.

hbase/hbase-server/src/main/java/org/apache/hadoop/hbase/master/HMaster.java

Lines 3091 to 3100 in 2622fa0

	voidcheckInitialized() throwsPleaseHoldException, ServerNotRunningYetException,
	MasterNotRunningException, MasterStoppedException {
	checkServiceStarted();
	if (!isInitialized()) {
	thrownewPleaseHoldException("Master is initializing");
	}
	if (isStopped()) {
	thrownewMasterStoppedException();
	}
	}

And after the successful initialization, the server can handle my clients' request but somehow gets some error in:

hbase/hbase-server/src/main/java/org/apache/hadoop/hbase/procedure2/store/region/RegionProcedureStore.java

Lines 360 to 372 in 2622fa0

	@Override
	publicvoidupdate(Procedure<?> proc) {
	runWithoutRpcCall(() -> {
	try {
	ProcedureProtos.Procedureproto = ProcedureUtil.convertToProtoProcedure(proc);
	region.update(r -> r.put(newPut(Bytes.toBytes(proc.getProcId())).addColumn(PROC_FAMILY,
	PROC_QUALIFIER, proto.toByteArray())));
	} catch (IOExceptione) {
	LOG.error(HBaseMarkers.FATAL, "Failed to update proc {}", proc, e);
	thrownewUncheckedIOException(e);
	}
	});
	}

The UncheckedIOException is passed to my client, and then unfortunately, the accumulated retry number (due to multiple previous PleaseHoldException) results in a very long pause time.

As you suggested, I can "set retry number to 1". And I think it should be automatically done by the client. The PleaseHoldException and the UncheckedIOException from update operation represents two different reasons for exponential backoff. PleaseHoldException asks the client to wait for the server initialization in a exponential backoff retry loop. And after that, to handle the potential errors of processing client requests, we should start another exponential backoff retry loop, i.e., "set retry number to 1".

WDYT?
If you are convinced, do you have suggestions about enforcing this kind of logic in the code? I feel we may need to add some flags to indicate whether we are waiting for server initialization or handling errors in request processing. And then reset the retry number to 1 when the flag changes.

Thanks.