com.graphaware.tx.executor.batch.IterableInputBatchTransactionExecutor Maven / Gradle / Ivy
/*
* Copyright (c) 2013-2020 GraphAware
*
* This file is part of the GraphAware Framework.
*
* GraphAware Framework is free software: you can redistribute it and/or modify it under
* the terms of the GNU General Public License as published by the Free Software Foundation, either
* version 3 of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
* See the GNU General Public License for more details. You should have received a copy of
* the GNU General Public License along with this program. If not, see
* .
*/
package com.graphaware.tx.executor.batch;
import com.graphaware.common.util.BlockingArrayBlockingQueue;
import com.graphaware.tx.executor.NullItem;
import com.graphaware.tx.executor.input.TransactionalInput;
import com.graphaware.tx.executor.single.KeepCalmAndCarryOn;
import com.graphaware.tx.executor.single.SimpleTransactionExecutor;
import com.graphaware.tx.executor.single.TransactionCallback;
import com.graphaware.tx.executor.single.TransactionExecutor;
import org.neo4j.graphdb.GraphDatabaseService;
import org.neo4j.graphdb.Transaction;
import org.neo4j.logging.Log;
import com.graphaware.common.log.LoggerFactory;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
/**
* {@link BatchTransactionExecutor} which executes a {@link UnitOfWork} for each input item. Input items are provided
* in the form of an {@link Iterable}.
*
* @param type of the input item, on which steps are executed.
*/
public class IterableInputBatchTransactionExecutor extends DisposableBatchTransactionExecutor {
private static final Log LOG = LoggerFactory.getLogger(IterableInputBatchTransactionExecutor.class);
private final int batchSize;
private final UnitOfWork unitOfWork;
protected final AtomicInteger totalSteps = new AtomicInteger(0);
protected final AtomicInteger batches = new AtomicInteger(0);
protected final AtomicInteger successfulSteps = new AtomicInteger(0);
protected final Iterable input;
protected final TransactionExecutor executor;
protected final AtomicBoolean finished = new AtomicBoolean(false);
protected final BlockingArrayBlockingQueue queue = new BlockingArrayBlockingQueue<>(10_000);
/**
* Create an instance of IterableInputBatchExecutor.
*
* @param database against which to execute batched queries.
* @param batchSize how many {@link UnitOfWork} are in a single batch.
* @param input to the execution. These items are provided to each unit of work, one by one.
* Please use {@link TransactionalInput} if the input is fetched from the database.
* @param unitOfWork to be executed for each input item. Must be thread-safe.
*/
public IterableInputBatchTransactionExecutor(GraphDatabaseService database, int batchSize, Iterable input, UnitOfWork unitOfWork) {
this.batchSize = batchSize;
this.unitOfWork = unitOfWork;
this.input = input;
this.executor = new SimpleTransactionExecutor(database);
}
@Override
protected void doExecute() {
populateQueue();
processQueue();
}
protected final void populateQueue() {
new Thread(() -> {
try {
for (T input : IterableInputBatchTransactionExecutor.this.input) {
queue.offer(input);
}
} catch (Exception e) {
LOG.warn("Exception while producing input!", e);
} finally {
finished.set(true);
}
}).start();
}
protected final void processQueue() {
while (notFinished()) {
final int batchNo = batches.incrementAndGet();
if (LOG.isDebugEnabled()) {
LOG.debug("Starting a transaction for batch number " + batchNo);
}
final AtomicInteger currentBatchSteps = new AtomicInteger(0);
final AtomicBoolean polled = new AtomicBoolean(false);
NullItem result = executor.executeInTransaction(new TransactionCallback() {
@Override
public NullItem doInTransaction(Transaction tx) throws Exception {
while ((notFinished()) && currentBatchSteps.get() < batchSize) {
T next;
try {
next = queue.poll(100, TimeUnit.MILLISECONDS);
} catch (InterruptedException e) {
continue;
}
if (next != null) {
polled.set(true);
totalSteps.incrementAndGet();
unitOfWork.execute(tx, next, batchNo, currentBatchSteps.incrementAndGet());
} else {
if (!finished.get()) {
LOG.warn("Waited for over 100ms but no input arrived. Still expecting more input. ");
} else {
break;
}
}
}
return NullItem.getInstance();
}
}, KeepCalmAndCarryOn.getInstance());
if (result != null) {
successfulSteps.addAndGet(currentBatchSteps.get());
if (LOG.isDebugEnabled()) {
LOG.debug("Committed transaction for batch number " + batchNo);
}
} else {
LOG.warn("Rolled back transaction for batch number " + batchNo);
if (!polled.get()) {
LOG.warn("Throwing away the head of the queue as the transaction seems to have failed before polling...");
queue.poll();
}
}
}
LOG.debug("Successfully executed " + successfulSteps + " (out of " + totalSteps.get() + " ) steps in " + batches + " batches");
if (successfulSteps.get() != totalSteps.get()) {
LOG.warn("Failed to execute " + (totalSteps.get() - successfulSteps.get()) + " steps!");
}
}
private boolean notFinished() {
return !finished.get() || !queue.isEmpty();
}
}
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