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Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@
import java.util.Map;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Phaser;
import java.util.concurrent.TimeUnit;
import java.util.function.Function;
import org.apache.hadoop.conf.Configuration;
Expand Down Expand Up @@ -299,19 +300,39 @@ public <S, R> CoprocessorServiceBuilder<S, R> coprocessorService(
final Context context = Context.current();
CoprocessorCallback<R> wrappedCallback = new CoprocessorCallback<R>() {

private final Phaser regionCompletesInProgress = new Phaser(1);

@Override
public void onRegionComplete(RegionInfo region, R resp) {
pool.execute(context.wrap(() -> callback.onRegionComplete(region, resp)));
regionCompletesInProgress.register();
pool.execute(context.wrap(() -> {
try {
callback.onRegionComplete(region, resp);
} finally {
regionCompletesInProgress.arriveAndDeregister();
}
}));
}

@Override
public void onRegionError(RegionInfo region, Throwable error) {
pool.execute(context.wrap(() -> callback.onRegionError(region, error)));
regionCompletesInProgress.register();
pool.execute(context.wrap(() -> {
try {
callback.onRegionError(region, error);
} finally {
regionCompletesInProgress.arriveAndDeregister();
}
}));
}

@Override
public void onComplete() {
pool.execute(context.wrap(callback::onComplete));
pool.execute(context.wrap(() -> {
// Guarantee that onComplete() is called after all onRegionComplete()'s are called
regionCompletesInProgress.arriveAndAwaitAdvance();
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According to the Javadoc on this method, onComplete must implement a happens-after semantic for all onRegionComplete and all onRegionError invocations. This implies that there are multiple regions to complete AND multiple forms of completion, so I think that this can be solved with a phaser ; you need a more general purpose mutex.

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@charlesconnell charlesconnell Sep 2, 2024

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Good point that onRegionError should be included in the barrier. I'm guessing you meant to say "so I think that this cannot be solved with a phaser," but I disagree. The phaser can be used in onRegionError just the same as onRegionComplete.

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Oh I see. Phaser is more powerful than I initially understood -- very cool! Yes, this looks better to me.

callback.onComplete();
}));
}

@Override
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,156 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.hbase.client;

import static org.junit.Assert.assertEquals;

import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.stream.Collectors;
import java.util.stream.LongStream;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseClassTestRule;
import org.apache.hadoop.hbase.HBaseTestingUtil;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.coprocessor.AsyncAggregationClient;
import org.apache.hadoop.hbase.client.coprocessor.LongColumnInterpreter;
import org.apache.hadoop.hbase.coprocessor.AggregateImplementation;
import org.apache.hadoop.hbase.coprocessor.CoprocessorHost;
import org.apache.hadoop.hbase.testclassification.CoprocessorTests;
import org.apache.hadoop.hbase.testclassification.MediumTests;
import org.apache.hadoop.hbase.util.Bytes;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.ClassRule;
import org.junit.Test;
import org.junit.experimental.categories.Category;

/**
* Same as TestAsyncAggregationClient, except that {@link AsyncTableImpl} is involved in addition to
* {@link RawAsyncTableImpl}. Exercises the code paths in {@link AsyncTableImpl#coprocessorService}.
*/
@Category({ MediumTests.class, CoprocessorTests.class })
public class TestAsyncAggregationClientWithCallbackThreadPool {

@ClassRule
public static final HBaseClassTestRule CLASS_RULE =
HBaseClassTestRule.forClass(TestAsyncAggregationClientWithCallbackThreadPool.class);

private static HBaseTestingUtil UTIL = new HBaseTestingUtil();

private static TableName TABLE_NAME = TableName.valueOf("TestAsyncAggregationClient");

private static byte[] CF = Bytes.toBytes("CF");

private static byte[] CQ = Bytes.toBytes("CQ");

private static byte[] CQ2 = Bytes.toBytes("CQ2");

private static long COUNT = 1000;

private static AsyncConnection CONN;

private static AsyncTable<ScanResultConsumer> TABLE;

private static ExecutorService EXECUTOR_SERVICE;

@BeforeClass
public static void setUp() throws Exception {
Configuration conf = UTIL.getConfiguration();
conf.setStrings(CoprocessorHost.REGION_COPROCESSOR_CONF_KEY,
AggregateImplementation.class.getName());
UTIL.startMiniCluster(3);
byte[][] splitKeys = new byte[8][];
for (int i = 111; i < 999; i += 111) {
splitKeys[i / 111 - 1] = Bytes.toBytes(String.format("%03d", i));
}
UTIL.createTable(TABLE_NAME, CF, splitKeys);
CONN = ConnectionFactory.createAsyncConnection(UTIL.getConfiguration()).get();
EXECUTOR_SERVICE = Executors.newFixedThreadPool(1);
TABLE = CONN.getTable(TABLE_NAME, EXECUTOR_SERVICE);
TABLE.putAll(LongStream.range(0, COUNT)
.mapToObj(l -> new Put(Bytes.toBytes(String.format("%03d", l)))
.addColumn(CF, CQ, Bytes.toBytes(l)).addColumn(CF, CQ2, Bytes.toBytes(l * l)))
.collect(Collectors.toList())).get();
}

@AfterClass
public static void tearDown() throws Exception {
CONN.close();
UTIL.shutdownMiniCluster();
EXECUTOR_SERVICE.shutdownNow();
}

@Test
public void testMax() throws InterruptedException, ExecutionException {
assertEquals(COUNT - 1, AsyncAggregationClient
.max(TABLE, new LongColumnInterpreter(), new Scan().addColumn(CF, CQ)).get().longValue());
}

@Test
public void testMin() throws InterruptedException, ExecutionException {
assertEquals(0, AsyncAggregationClient
.min(TABLE, new LongColumnInterpreter(), new Scan().addColumn(CF, CQ)).get().longValue());
}

@Test
public void testRowCount() throws InterruptedException, ExecutionException {
assertEquals(COUNT,
AsyncAggregationClient
.rowCount(TABLE, new LongColumnInterpreter(), new Scan().addColumn(CF, CQ)).get()
.longValue());

// Run the count twice in case some state doesn't get cleaned up inside AsyncTableImpl
// on the first time.
assertEquals(COUNT,
AsyncAggregationClient
.rowCount(TABLE, new LongColumnInterpreter(), new Scan().addColumn(CF, CQ)).get()
.longValue());
}

@Test
public void testSum() throws InterruptedException, ExecutionException {
assertEquals(COUNT * (COUNT - 1) / 2, AsyncAggregationClient
.sum(TABLE, new LongColumnInterpreter(), new Scan().addColumn(CF, CQ)).get().longValue());
}

private static final double DELTA = 1E-3;

@Test
public void testAvg() throws InterruptedException, ExecutionException {
assertEquals(
(COUNT - 1) / 2.0, AsyncAggregationClient
.avg(TABLE, new LongColumnInterpreter(), new Scan().addColumn(CF, CQ)).get().doubleValue(),
DELTA);
}

@Test
public void testStd() throws InterruptedException, ExecutionException {
double avgSq =
LongStream.range(0, COUNT).map(l -> l * l).reduce((l1, l2) -> l1 + l2).getAsLong()
/ (double) COUNT;
double avg = (COUNT - 1) / 2.0;
double std = Math.sqrt(avgSq - avg * avg);
assertEquals(
std, AsyncAggregationClient
.std(TABLE, new LongColumnInterpreter(), new Scan().addColumn(CF, CQ)).get().doubleValue(),
DELTA);
}

}