spring-batch FaultTolerantChunkProcessor 源码
spring-batch FaultTolerantChunkProcessor 代码
文件路径：/spring-batch-core/src/main/java/org/springframework/batch/core/step/item/FaultTolerantChunkProcessor.java
/*
* Copyright 2006-2022 the original author or authors.
*
* Licensed 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
*
* https://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.springframework.batch.core.step.item;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Iterator;
import java.util.List;
import java.util.concurrent.atomic.AtomicReference;
import io.micrometer.core.instrument.Timer;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.springframework.batch.core.StepContribution;
import org.springframework.batch.core.listener.StepListenerFailedException;
import org.springframework.batch.core.observability.BatchMetrics;
import org.springframework.batch.core.step.skip.LimitCheckingItemSkipPolicy;
import org.springframework.batch.core.step.skip.NonSkippableProcessException;
import org.springframework.batch.core.step.skip.SkipLimitExceededException;
import org.springframework.batch.core.step.skip.SkipListenerFailedException;
import org.springframework.batch.core.step.skip.SkipPolicy;
import org.springframework.batch.item.ItemProcessor;
import org.springframework.batch.item.ItemWriter;
import org.springframework.classify.BinaryExceptionClassifier;
import org.springframework.classify.Classifier;
import org.springframework.retry.ExhaustedRetryException;
import org.springframework.retry.RecoveryCallback;
import org.springframework.retry.RetryCallback;
import org.springframework.retry.RetryContext;
import org.springframework.retry.RetryException;
import org.springframework.retry.support.DefaultRetryState;
/**
* FaultTolerant implementation of the {@link ChunkProcessor} interface, that allows for
* skipping or retry of items that cause exceptions during writing.
*
*/
public class FaultTolerantChunkProcessor<I, O> extends SimpleChunkProcessor<I, O> {
private SkipPolicy itemProcessSkipPolicy = new LimitCheckingItemSkipPolicy();
private SkipPolicy itemWriteSkipPolicy = new LimitCheckingItemSkipPolicy();
private final BatchRetryTemplate batchRetryTemplate;
private Classifier<Throwable, Boolean> rollbackClassifier = new BinaryExceptionClassifier(true);
private Log logger = LogFactory.getLog(getClass());
private boolean buffering = true;
private KeyGenerator keyGenerator;
private ChunkMonitor chunkMonitor = new ChunkMonitor();
private boolean processorTransactional = true;
/**
* The {@link KeyGenerator} to use to identify failed items across rollback. Not used
* in the case of the {@link #setBuffering(boolean) buffering flag} being true (the
* default).
* @param keyGenerator the {@link KeyGenerator} to set
*/
public void setKeyGenerator(KeyGenerator keyGenerator) {
this.keyGenerator = keyGenerator;
}
/**
* @param SkipPolicy the {@link SkipPolicy} for item processing
*/
public void setProcessSkipPolicy(SkipPolicy SkipPolicy) {
this.itemProcessSkipPolicy = SkipPolicy;
}
/**
* @param SkipPolicy the {@link SkipPolicy} for item writing
*/
public void setWriteSkipPolicy(SkipPolicy SkipPolicy) {
this.itemWriteSkipPolicy = SkipPolicy;
}
/**
* A classifier that can distinguish between exceptions that cause rollback (return
* true) or not (return false).
* @param rollbackClassifier classifier
*/
public void setRollbackClassifier(Classifier<Throwable, Boolean> rollbackClassifier) {
this.rollbackClassifier = rollbackClassifier;
}
/**
* @param chunkMonitor monitor
*/
public void setChunkMonitor(ChunkMonitor chunkMonitor) {
this.chunkMonitor = chunkMonitor;
}
/**
* A flag to indicate that items have been buffered and therefore will always come
* back as a chunk after a rollback. Otherwise things are more complicated because
* after a rollback the new chunk might or might not contain items from the previous
* failed chunk.
* @param buffering true if items will be buffered
*/
public void setBuffering(boolean buffering) {
this.buffering = buffering;
}
/**
* Flag to say that the {@link ItemProcessor} is transactional (defaults to true). If
* false then the processor is only called once per item per chunk, even if there are
* rollbacks with retries and skips.
* @param processorTransactional the flag value to set
*/
public void setProcessorTransactional(boolean processorTransactional) {
this.processorTransactional = processorTransactional;
}
public FaultTolerantChunkProcessor(ItemProcessor<? super I, ? extends O> itemProcessor,
ItemWriter<? super O> itemWriter, BatchRetryTemplate batchRetryTemplate) {
super(itemProcessor, itemWriter);
this.batchRetryTemplate = batchRetryTemplate;
}
@Override
protected void initializeUserData(Chunk<I> inputs) {
@SuppressWarnings("unchecked")
UserData<O> data = (UserData<O>) inputs.getUserData();
if (data == null) {
data = new UserData<>();
inputs.setUserData(data);
data.setOutputs(new Chunk<>());
}
else {
// BATCH-2663: re-initialize filter count when scanning the chunk
if (data.scanning()) {
data.filterCount = 0;
}
}
}
@Override
protected int getFilterCount(Chunk<I> inputs, Chunk<O> outputs) {
@SuppressWarnings("unchecked")
UserData<O> data = (UserData<O>) inputs.getUserData();
return data.filterCount;
}
@Override
protected boolean isComplete(Chunk<I> inputs) {
/*
* Need to remember the write skips across transactions, otherwise they keep
* coming back. Since we register skips with the inputs they will not be processed
* again but the output skips need to be saved for registration later with the
* listeners. The inputs are going to be the same for all transactions processing
* the same chunk, but the outputs are not, so we stash them in user data on the
* inputs.
*/
@SuppressWarnings("unchecked")
UserData<O> data = (UserData<O>) inputs.getUserData();
Chunk<O> previous = data.getOutputs();
return inputs.isEmpty() && previous.getSkips().isEmpty();
}
@Override
protected Chunk<O> getAdjustedOutputs(Chunk<I> inputs, Chunk<O> outputs) {
@SuppressWarnings("unchecked")
UserData<O> data = (UserData<O>) inputs.getUserData();
Chunk<O> previous = data.getOutputs();
Chunk<O> next = new Chunk<>(outputs.getItems(), previous.getSkips());
next.setBusy(previous.isBusy());
// Remember for next time if there are skips accumulating
data.setOutputs(next);
return next;
}
@Override
protected Chunk<O> transform(final StepContribution contribution, Chunk<I> inputs) throws Exception {
Chunk<O> outputs = new Chunk<>();
@SuppressWarnings("unchecked")
final UserData<O> data = (UserData<O>) inputs.getUserData();
final Chunk<O> cache = data.getOutputs();
final Iterator<O> cacheIterator = cache.isEmpty() ? null : new ArrayList<>(cache.getItems()).iterator();
// final int scanLimit = processorTransactional && data.scanning() ? 1 :
// 0;
for (final Chunk<I>.ChunkIterator iterator = inputs.iterator(); iterator.hasNext();) {
final I item = iterator.next();
RetryCallback<O, Exception> retryCallback = new RetryCallback<O, Exception>() {
@Override
public O doWithRetry(RetryContext context) throws Exception {
Timer.Sample sample = BatchMetrics.createTimerSample();
String status = BatchMetrics.STATUS_SUCCESS;
O output = null;
try {
O cached = (cacheIterator != null && cacheIterator.hasNext()) ? cacheIterator.next() : null;
if (cached != null && !processorTransactional) {
output = cached;
}
else {
output = doProcess(item);
if (output == null) {
data.incrementFilterCount();
}
else if (!processorTransactional && !data.scanning()) {
cache.add(output);
}
}
}
catch (Exception e) {
status = BatchMetrics.STATUS_FAILURE;
if (rollbackClassifier.classify(e)) {
// Default is to rollback unless the classifier
// allows us to continue
throw e;
}
else if (shouldSkip(itemProcessSkipPolicy, e, contribution.getStepSkipCount())) {
// If we are not re-throwing then we should check if
// this is skippable
contribution.incrementProcessSkipCount();
logger.debug("Skipping after failed process with no rollback", e);
// If not re-throwing then the listener will not be
// called in next chunk.
callProcessSkipListener(item, e);
}
else {
// If it's not skippable that's an error in
// configuration - it doesn't make sense to not roll
// back if we are also not allowed to skip
throw new NonSkippableProcessException(
"Non-skippable exception in processor. Make sure any exceptions that do not cause a rollback are skippable.",
e);
}
}
finally {
stopTimer(sample, contribution.getStepExecution(), "item.process", status, "Item processing");
}
if (output == null) {
// No need to re-process filtered items
iterator.remove();
}
return output;
}
};
RecoveryCallback<O> recoveryCallback = new RecoveryCallback<O>() {
@Override
public O recover(RetryContext context) throws Exception {
Throwable e = context.getLastThrowable();
if (shouldSkip(itemProcessSkipPolicy, e, contribution.getStepSkipCount())) {
iterator.remove(e);
contribution.incrementProcessSkipCount();
logger.debug("Skipping after failed process", e);
return null;
}
else {
if (rollbackClassifier.classify(e)) {
// Default is to rollback unless the classifier
// allows us to continue
throw new RetryException("Non-skippable exception in recoverer while processing", e);
}
iterator.remove(e);
return null;
}
}
};
O output = batchRetryTemplate.execute(retryCallback, recoveryCallback,
new DefaultRetryState(getInputKey(item), rollbackClassifier));
if (output != null) {
outputs.add(output);
}
/*
* We only want to process the first item if there is a scan for a failed
* item.
*/
if (data.scanning()) {
while (cacheIterator != null && cacheIterator.hasNext()) {
outputs.add(cacheIterator.next());
}
// Only process the first item if scanning
break;
}
}
return outputs;
}
@Override
protected void write(final StepContribution contribution, final Chunk<I> inputs, final Chunk<O> outputs)
throws Exception {
@SuppressWarnings("unchecked")
final UserData<O> data = (UserData<O>) inputs.getUserData();
final AtomicReference<RetryContext> contextHolder = new AtomicReference<>();
RetryCallback<Object, Exception> retryCallback = new RetryCallback<Object, Exception>() {
@Override
public Object doWithRetry(RetryContext context) throws Exception {
contextHolder.set(context);
if (!data.scanning()) {
chunkMonitor.setChunkSize(inputs.size());
Timer.Sample sample = BatchMetrics.createTimerSample();
String status = BatchMetrics.STATUS_SUCCESS;
try {
doWrite(outputs.getItems());
}
catch (Exception e) {
status = BatchMetrics.STATUS_FAILURE;
if (rollbackClassifier.classify(e)) {
throw e;
}
/*
* If the exception is marked as no-rollback, we need to override
* that, otherwise there's no way to write the rest of the chunk
* or to honour the skip listener contract.
*/
throw new ForceRollbackForWriteSkipException(
"Force rollback on skippable exception so that skipped item can be located.", e);
}
finally {
stopTimer(sample, contribution.getStepExecution(), "chunk.write", status, "Chunk writing");
}
contribution.incrementWriteCount(outputs.size());
}
else {
scan(contribution, inputs, outputs, chunkMonitor, false);
}
return null;
}
};
if (!buffering) {
RecoveryCallback<Object> batchRecoveryCallback = new RecoveryCallback<Object>() {
@Override
public Object recover(RetryContext context) throws Exception {
Throwable e = context.getLastThrowable();
if (outputs.size() > 1 && !rollbackClassifier.classify(e)) {
throw new RetryException("Invalid retry state during write caused by "
+ "exception that does not classify for rollback: ", e);
}
Chunk<I>.ChunkIterator inputIterator = inputs.iterator();
for (Chunk<O>.ChunkIterator outputIterator = outputs.iterator(); outputIterator.hasNext();) {
inputIterator.next();
outputIterator.next();
checkSkipPolicy(inputIterator, outputIterator, e, contribution, true);
if (!rollbackClassifier.classify(e)) {
throw new RetryException(
"Invalid retry state during recovery caused by exception that does not classify for rollback: ",
e);
}
}
return null;
}
};
batchRetryTemplate.execute(retryCallback, batchRecoveryCallback,
BatchRetryTemplate.createState(getInputKeys(inputs), rollbackClassifier));
}
else {
RecoveryCallback<Object> recoveryCallback = new RecoveryCallback<Object>() {
@Override
public Object recover(RetryContext context) throws Exception {
/*
* If the last exception was not skippable we don't need to do any
* scanning. We can just bomb out with a retry exhausted.
*/
if (!shouldSkip(itemWriteSkipPolicy, context.getLastThrowable(), -1)) {
throw new ExhaustedRetryException(
"Retry exhausted after last attempt in recovery path, but exception is not skippable.",
context.getLastThrowable());
}
inputs.setBusy(true);
data.scanning(true);
scan(contribution, inputs, outputs, chunkMonitor, true);
return null;
}
};
if (logger.isDebugEnabled()) {
logger.debug("Attempting to write: " + inputs);
}
try {
batchRetryTemplate.execute(retryCallback, recoveryCallback,
new DefaultRetryState(inputs, rollbackClassifier));
}
catch (Exception e) {
RetryContext context = contextHolder.get();
if (!batchRetryTemplate.canRetry(context)) {
/*
* BATCH-1761: we need advance warning of the scan about to start in
* the next transaction, so we can change the processing behaviour.
*/
data.scanning(true);
}
throw e;
}
}
callSkipListeners(inputs, outputs);
}
private void callSkipListeners(final Chunk<I> inputs, final Chunk<O> outputs) {
for (SkipWrapper<I> wrapper : inputs.getSkips()) {
I item = wrapper.getItem();
if (item == null) {
continue;
}
Throwable e = wrapper.getException();
callProcessSkipListener(item, e);
}
for (SkipWrapper<O> wrapper : outputs.getSkips()) {
Throwable e = wrapper.getException();
try {
getListener().onSkipInWrite(wrapper.getItem(), e);
}
catch (RuntimeException ex) {
throw new SkipListenerFailedException("Fatal exception in SkipListener.", ex, e);
}
}
// Clear skips if we are possibly going to process this chunk again
outputs.clearSkips();
inputs.clearSkips();
}
/**
* Convenience method for calling process skip listener, so that it can be called from
* multiple places.
* @param item the item that is skipped
* @param e the cause of the skip
*/
private void callProcessSkipListener(I item, Throwable e) {
try {
getListener().onSkipInProcess(item, e);
}
catch (RuntimeException ex) {
throw new SkipListenerFailedException("Fatal exception in SkipListener.", ex, e);
}
}
/**
* Convenience method for calling process skip policy, so that it can be called from
* multiple places.
* @param policy the skip policy
* @param e the cause of the skip
* @param skipCount the current skip count
*/
private boolean shouldSkip(SkipPolicy policy, Throwable e, long skipCount) {
try {
return policy.shouldSkip(e, skipCount);
}
catch (SkipLimitExceededException ex) {
throw ex;
}
catch (RuntimeException ex) {
throw new SkipListenerFailedException("Fatal exception in SkipPolicy.", ex, e);
}
}
private Object getInputKey(I item) {
if (keyGenerator == null) {
return item;
}
return keyGenerator.getKey(item);
}
private List<?> getInputKeys(final Chunk<I> inputs) {
if (keyGenerator == null) {
return inputs.getItems();
}
List<Object> keys = new ArrayList<>();
for (I item : inputs.getItems()) {
keys.add(keyGenerator.getKey(item));
}
return keys;
}
private void checkSkipPolicy(Chunk<I>.ChunkIterator inputIterator, Chunk<O>.ChunkIterator outputIterator,
Throwable e, StepContribution contribution, boolean recovery) throws Exception {
logger.debug("Checking skip policy after failed write");
if (shouldSkip(itemWriteSkipPolicy, e, contribution.getStepSkipCount())) {
contribution.incrementWriteSkipCount();
inputIterator.remove();
outputIterator.remove(e);
logger.debug("Skipping after failed write", e);
}
else {
if (recovery) {
// Only if already recovering should we check skip policy
throw new RetryException("Non-skippable exception in recoverer", e);
}
else {
if (e instanceof Exception) {
throw (Exception) e;
}
else if (e instanceof Error) {
throw (Error) e;
}
else {
throw new RetryException("Non-skippable throwable in recoverer", e);
}
}
}
}
private void scan(final StepContribution contribution, final Chunk<I> inputs, final Chunk<O> outputs,
ChunkMonitor chunkMonitor, boolean recovery) throws Exception {
@SuppressWarnings("unchecked")
final UserData<O> data = (UserData<O>) inputs.getUserData();
if (logger.isDebugEnabled()) {
if (recovery) {
logger.debug("Scanning for failed item on recovery from write: " + inputs);
}
else {
logger.debug("Scanning for failed item on write: " + inputs);
}
}
if (outputs.isEmpty() || inputs.isEmpty()) {
data.scanning(false);
inputs.setBusy(false);
chunkMonitor.resetOffset();
return;
}
Chunk<I>.ChunkIterator inputIterator = inputs.iterator();
Chunk<O>.ChunkIterator outputIterator = outputs.iterator();
if (!inputs.getSkips().isEmpty() && inputs.getItems().size() != outputs.getItems().size()) {
if (outputIterator.hasNext()) {
outputIterator.remove();
return;
}
}
List<O> items = Collections.singletonList(outputIterator.next());
inputIterator.next();
try {
writeItems(items);
// If successful we are going to return and allow
// the driver to commit...
doAfterWrite(items);
contribution.incrementWriteCount(1);
inputIterator.remove();
outputIterator.remove();
}
catch (Exception e) {
try {
doOnWriteError(e, items);
}
finally {
Throwable cause = e;
if (e instanceof StepListenerFailedException) {
cause = e.getCause();
}
if (!shouldSkip(itemWriteSkipPolicy, cause, -1) && !rollbackClassifier.classify(cause)) {
inputIterator.remove();
outputIterator.remove();
}
else {
checkSkipPolicy(inputIterator, outputIterator, cause, contribution, recovery);
}
if (rollbackClassifier.classify(cause)) {
throw (Exception) cause;
}
}
}
chunkMonitor.incrementOffset();
if (outputs.isEmpty()) {
data.scanning(false);
inputs.setBusy(false);
chunkMonitor.resetOffset();
}
}
private static class UserData<O> {
private Chunk<O> outputs;
private int filterCount = 0;
private boolean scanning;
public boolean scanning() {
return scanning;
}
public void scanning(boolean scanning) {
this.scanning = scanning;
}
public void incrementFilterCount() {
filterCount++;
}
public Chunk<O> getOutputs() {
return outputs;
}
public void setOutputs(Chunk<O> outputs) {
this.outputs = outputs;
}
}
}
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