| 1 | /* |
| 2 | * Copyright 2006-2007 the original author or authors. |
| 3 | * |
| 4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
| 5 | * you may not use this file except in compliance with the License. |
| 6 | * You may obtain a copy of the License at |
| 7 | * |
| 8 | * http://www.apache.org/licenses/LICENSE-2.0 |
| 9 | * |
| 10 | * Unless required by applicable law or agreed to in writing, software |
| 11 | * distributed under the License is distributed on an "AS IS" BASIS, |
| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 13 | * See the License for the specific language governing permissions and |
| 14 | * limitations under the License. |
| 15 | */ |
| 16 | |
| 17 | package org.springframework.batch.core.step.item; |
| 18 | |
| 19 | import java.util.ArrayList; |
| 20 | import java.util.Collections; |
| 21 | import java.util.Iterator; |
| 22 | import java.util.List; |
| 23 | import java.util.concurrent.atomic.AtomicInteger; |
| 24 | import java.util.concurrent.atomic.AtomicReference; |
| 25 | |
| 26 | import org.apache.commons.logging.Log; |
| 27 | import org.apache.commons.logging.LogFactory; |
| 28 | import org.springframework.batch.classify.BinaryExceptionClassifier; |
| 29 | import org.springframework.batch.classify.Classifier; |
| 30 | import org.springframework.batch.core.StepContribution; |
| 31 | import org.springframework.batch.core.step.skip.LimitCheckingItemSkipPolicy; |
| 32 | import org.springframework.batch.core.step.skip.NonSkippableProcessException; |
| 33 | import org.springframework.batch.core.step.skip.SkipLimitExceededException; |
| 34 | import org.springframework.batch.core.step.skip.SkipListenerFailedException; |
| 35 | import org.springframework.batch.core.step.skip.SkipPolicy; |
| 36 | import org.springframework.batch.item.ItemProcessor; |
| 37 | import org.springframework.batch.item.ItemWriter; |
| 38 | import org.springframework.batch.retry.ExhaustedRetryException; |
| 39 | import org.springframework.batch.retry.RecoveryCallback; |
| 40 | import org.springframework.batch.retry.RetryCallback; |
| 41 | import org.springframework.batch.retry.RetryContext; |
| 42 | import org.springframework.batch.retry.RetryException; |
| 43 | import org.springframework.batch.retry.support.DefaultRetryState; |
| 44 | |
| 45 | /** |
| 46 | * FaultTolerant implementation of the {@link ChunkProcessor} interface, that |
| 47 | * allows for skipping or retry of items that cause exceptions during writing. |
| 48 | * |
| 49 | */ |
| 50 | public class FaultTolerantChunkProcessor<I, O> extends SimpleChunkProcessor<I, O> { |
| 51 | |
| 52 | private SkipPolicy itemProcessSkipPolicy = new LimitCheckingItemSkipPolicy(); |
| 53 | |
| 54 | private SkipPolicy itemWriteSkipPolicy = new LimitCheckingItemSkipPolicy(); |
| 55 | |
| 56 | private final BatchRetryTemplate batchRetryTemplate; |
| 57 | |
| 58 | private Classifier<Throwable, Boolean> rollbackClassifier = new BinaryExceptionClassifier(true); |
| 59 | |
| 60 | private Log logger = LogFactory.getLog(getClass()); |
| 61 | |
| 62 | private boolean buffering = true; |
| 63 | |
| 64 | private KeyGenerator keyGenerator; |
| 65 | |
| 66 | private ChunkMonitor chunkMonitor = new ChunkMonitor(); |
| 67 | |
| 68 | private boolean processorTransactional = true; |
| 69 | |
| 70 | /** |
| 71 | * The {@link KeyGenerator} to use to identify failed items across rollback. |
| 72 | * Not used in the case of the {@link #setBuffering(boolean) buffering flag} |
| 73 | * being true (the default). |
| 74 | * |
| 75 | * @param keyGenerator the {@link KeyGenerator} to set |
| 76 | */ |
| 77 | public void setKeyGenerator(KeyGenerator keyGenerator) { |
| 78 | this.keyGenerator = keyGenerator; |
| 79 | } |
| 80 | |
| 81 | /** |
| 82 | * @param SkipPolicy the {@link SkipPolicy} for item processing |
| 83 | */ |
| 84 | public void setProcessSkipPolicy(SkipPolicy SkipPolicy) { |
| 85 | this.itemProcessSkipPolicy = SkipPolicy; |
| 86 | } |
| 87 | |
| 88 | /** |
| 89 | * @param SkipPolicy the {@link SkipPolicy} for item writing |
| 90 | */ |
| 91 | public void setWriteSkipPolicy(SkipPolicy SkipPolicy) { |
| 92 | this.itemWriteSkipPolicy = SkipPolicy; |
| 93 | } |
| 94 | |
| 95 | /** |
| 96 | * A classifier that can distinguish between exceptions that cause rollback |
| 97 | * (return true) or not (return false). |
| 98 | * |
| 99 | * @param rollbackClassifier |
| 100 | */ |
| 101 | public void setRollbackClassifier(Classifier<Throwable, Boolean> rollbackClassifier) { |
| 102 | this.rollbackClassifier = rollbackClassifier; |
| 103 | } |
| 104 | |
| 105 | /** |
| 106 | * @param chunkMonitor |
| 107 | */ |
| 108 | public void setChunkMonitor(ChunkMonitor chunkMonitor) { |
| 109 | this.chunkMonitor = chunkMonitor; |
| 110 | } |
| 111 | |
| 112 | /** |
| 113 | * A flag to indicate that items have been buffered and therefore will |
| 114 | * always come back as a chunk after a rollback. Otherwise things are more |
| 115 | * complicated because after a rollback the new chunk might or might not |
| 116 | * contain items from the previous failed chunk. |
| 117 | * |
| 118 | * @param buffering |
| 119 | */ |
| 120 | public void setBuffering(boolean buffering) { |
| 121 | this.buffering = buffering; |
| 122 | } |
| 123 | |
| 124 | /** |
| 125 | * Flag to say that the {@link ItemProcessor} is transactional (defaults to |
| 126 | * true). If false then the processor is only called once per item per |
| 127 | * chunk, even if there are rollbacks with retries and skips. |
| 128 | * |
| 129 | * @param processorTransactional the flag value to set |
| 130 | */ |
| 131 | public void setProcessorTransactional(boolean processorTransactional) { |
| 132 | this.processorTransactional = processorTransactional; |
| 133 | } |
| 134 | |
| 135 | public FaultTolerantChunkProcessor(ItemProcessor<? super I, ? extends O> itemProcessor, |
| 136 | ItemWriter<? super O> itemWriter, BatchRetryTemplate batchRetryTemplate) { |
| 137 | super(itemProcessor, itemWriter); |
| 138 | this.batchRetryTemplate = batchRetryTemplate; |
| 139 | } |
| 140 | |
| 141 | @Override |
| 142 | protected void initializeUserData(Chunk<I> inputs) { |
| 143 | @SuppressWarnings("unchecked") |
| 144 | UserData<O> data = (UserData<O>) inputs.getUserData(); |
| 145 | if (data == null) { |
| 146 | data = new UserData<O>(); |
| 147 | inputs.setUserData(data); |
| 148 | data.setOutputs(new Chunk<O>()); |
| 149 | } |
| 150 | } |
| 151 | |
| 152 | @Override |
| 153 | protected int getFilterCount(Chunk<I> inputs, Chunk<O> outputs) { |
| 154 | @SuppressWarnings("unchecked") |
| 155 | UserData<O> data = (UserData<O>) inputs.getUserData(); |
| 156 | return data.filterCount; |
| 157 | } |
| 158 | |
| 159 | @Override |
| 160 | protected boolean isComplete(Chunk<I> inputs) { |
| 161 | |
| 162 | /* |
| 163 | * Need to remember the write skips across transactions, otherwise they |
| 164 | * keep coming back. Since we register skips with the inputs they will |
| 165 | * not be processed again but the output skips need to be saved for |
| 166 | * registration later with the listeners. The inputs are going to be the |
| 167 | * same for all transactions processing the same chunk, but the outputs |
| 168 | * are not, so we stash them in user data on the inputs. |
| 169 | */ |
| 170 | |
| 171 | @SuppressWarnings("unchecked") |
| 172 | UserData<O> data = (UserData<O>) inputs.getUserData(); |
| 173 | Chunk<O> previous = data.getOutputs(); |
| 174 | |
| 175 | return inputs.isEmpty() && previous.getSkips().isEmpty(); |
| 176 | |
| 177 | } |
| 178 | |
| 179 | @Override |
| 180 | protected Chunk<O> getAdjustedOutputs(Chunk<I> inputs, Chunk<O> outputs) { |
| 181 | |
| 182 | @SuppressWarnings("unchecked") |
| 183 | UserData<O> data = (UserData<O>) inputs.getUserData(); |
| 184 | Chunk<O> previous = data.getOutputs(); |
| 185 | |
| 186 | Chunk<O> next = new Chunk<O>(outputs.getItems(), previous.getSkips()); |
| 187 | next.setBusy(previous.isBusy()); |
| 188 | |
| 189 | // Remember for next time if there are skips accumulating |
| 190 | data.setOutputs(next); |
| 191 | |
| 192 | return next; |
| 193 | |
| 194 | } |
| 195 | |
| 196 | @Override |
| 197 | protected Chunk<O> transform(final StepContribution contribution, Chunk<I> inputs) throws Exception { |
| 198 | |
| 199 | Chunk<O> outputs = new Chunk<O>(); |
| 200 | @SuppressWarnings("unchecked") |
| 201 | final UserData<O> data = (UserData<O>) inputs.getUserData(); |
| 202 | final Chunk<O> cache = data.getOutputs(); |
| 203 | final Iterator<O> cacheIterator = cache.isEmpty() ? null : new ArrayList<O>(cache.getItems()).iterator(); |
| 204 | final AtomicInteger count = new AtomicInteger(0); |
| 205 | |
| 206 | // final int scanLimit = processorTransactional && data.scanning() ? 1 : |
| 207 | // 0; |
| 208 | |
| 209 | for (final Chunk<I>.ChunkIterator iterator = inputs.iterator(); iterator.hasNext();) { |
| 210 | |
| 211 | final I item = iterator.next(); |
| 212 | |
| 213 | RetryCallback<O> retryCallback = new RetryCallback<O>() { |
| 214 | |
| 215 | public O doWithRetry(RetryContext context) throws Exception { |
| 216 | O output = null; |
| 217 | try { |
| 218 | count.incrementAndGet(); |
| 219 | O cached = (cacheIterator != null && cacheIterator.hasNext()) ? cacheIterator.next() : null; |
| 220 | if (cached != null && !processorTransactional) { |
| 221 | output = cached; |
| 222 | } |
| 223 | else { |
| 224 | output = doProcess(item); |
| 225 | if (!processorTransactional && !data.scanning()) { |
| 226 | cache.add(output); |
| 227 | } |
| 228 | } |
| 229 | } |
| 230 | catch (Exception e) { |
| 231 | if (rollbackClassifier.classify(e)) { |
| 232 | // Default is to rollback unless the classifier |
| 233 | // allows us to continue |
| 234 | throw e; |
| 235 | } |
| 236 | else if (shouldSkip(itemProcessSkipPolicy, e, contribution.getStepSkipCount())) { |
| 237 | // If we are not re-throwing then we should check if |
| 238 | // this is skippable |
| 239 | contribution.incrementProcessSkipCount(); |
| 240 | logger.debug("Skipping after failed process with no rollback", e); |
| 241 | // If not re-throwing then the listener will not be |
| 242 | // called in next chunk. |
| 243 | callProcessSkipListener(item, e); |
| 244 | } |
| 245 | else { |
| 246 | // If it's not skippable that's an error in |
| 247 | // configuration - it doesn't make sense to not roll |
| 248 | // back if we are also not allowed to skip |
| 249 | throw new NonSkippableProcessException( |
| 250 | "Non-skippable exception in processor. Make sure any exceptions that do not cause a rollback are skippable.", |
| 251 | e); |
| 252 | } |
| 253 | } |
| 254 | if (output == null) { |
| 255 | // No need to re-process filtered items |
| 256 | iterator.remove(); |
| 257 | data.incrementFilterCount(); |
| 258 | } |
| 259 | return output; |
| 260 | } |
| 261 | |
| 262 | }; |
| 263 | |
| 264 | RecoveryCallback<O> recoveryCallback = new RecoveryCallback<O>() { |
| 265 | |
| 266 | public O recover(RetryContext context) throws Exception { |
| 267 | Throwable e = context.getLastThrowable(); |
| 268 | if (shouldSkip(itemProcessSkipPolicy, e, contribution.getStepSkipCount())) { |
| 269 | iterator.remove(e); |
| 270 | contribution.incrementProcessSkipCount(); |
| 271 | logger.debug("Skipping after failed process", e); |
| 272 | return null; |
| 273 | } |
| 274 | else { |
| 275 | if (rollbackClassifier.classify(e)) { |
| 276 | // Default is to rollback unless the classifier |
| 277 | // allows us to continue |
| 278 | throw new RetryException("Non-skippable exception in recoverer while processing", e); |
| 279 | } |
| 280 | iterator.remove(e); |
| 281 | return null; |
| 282 | } |
| 283 | } |
| 284 | |
| 285 | }; |
| 286 | |
| 287 | O output = batchRetryTemplate.execute(retryCallback, recoveryCallback, new DefaultRetryState( |
| 288 | getInputKey(item), rollbackClassifier)); |
| 289 | if (output != null) { |
| 290 | outputs.add(output); |
| 291 | } |
| 292 | |
| 293 | /* |
| 294 | * We only want to process the first item if there is a scan for a |
| 295 | * failed item. |
| 296 | */ |
| 297 | if (data.scanning()) { |
| 298 | while (cacheIterator != null && cacheIterator.hasNext()) { |
| 299 | outputs.add(cacheIterator.next()); |
| 300 | } |
| 301 | // Only process the first item if scanning |
| 302 | break; |
| 303 | } |
| 304 | } |
| 305 | |
| 306 | return outputs; |
| 307 | |
| 308 | } |
| 309 | |
| 310 | @Override |
| 311 | protected void write(final StepContribution contribution, final Chunk<I> inputs, final Chunk<O> outputs) |
| 312 | throws Exception { |
| 313 | |
| 314 | @SuppressWarnings("unchecked") |
| 315 | final UserData<O> data = (UserData<O>) inputs.getUserData(); |
| 316 | final AtomicReference<RetryContext> contextHolder = new AtomicReference<RetryContext>(); |
| 317 | |
| 318 | RetryCallback<Object> retryCallback = new RetryCallback<Object>() { |
| 319 | public Object doWithRetry(RetryContext context) throws Exception { |
| 320 | |
| 321 | contextHolder.set(context); |
| 322 | |
| 323 | if (!data.scanning()) { |
| 324 | chunkMonitor.setChunkSize(inputs.size()); |
| 325 | try { |
| 326 | doWrite(outputs.getItems()); |
| 327 | } |
| 328 | catch (Exception e) { |
| 329 | if (rollbackClassifier.classify(e)) { |
| 330 | throw e; |
| 331 | } |
| 332 | /* |
| 333 | * If the exception is marked as no-rollback, we need to |
| 334 | * override that, otherwise there's no way to write the |
| 335 | * rest of the chunk or to honour the skip listener |
| 336 | * contract. |
| 337 | */ |
| 338 | throw new ForceRollbackForWriteSkipException( |
| 339 | "Force rollback on skippable exception so that skipped item can be located.", e); |
| 340 | } |
| 341 | contribution.incrementWriteCount(outputs.size()); |
| 342 | } |
| 343 | else { |
| 344 | scan(contribution, inputs, outputs, chunkMonitor, false); |
| 345 | } |
| 346 | return null; |
| 347 | |
| 348 | } |
| 349 | }; |
| 350 | |
| 351 | if (!buffering) { |
| 352 | |
| 353 | RecoveryCallback<Object> batchRecoveryCallback = new RecoveryCallback<Object>() { |
| 354 | |
| 355 | public Object recover(RetryContext context) throws Exception { |
| 356 | |
| 357 | Throwable e = context.getLastThrowable(); |
| 358 | if (outputs.size() > 1 && !rollbackClassifier.classify(e)) { |
| 359 | throw new RetryException("Invalid retry state during write caused by " |
| 360 | + "exception that does not classify for rollback: ", e); |
| 361 | } |
| 362 | |
| 363 | Chunk<I>.ChunkIterator inputIterator = inputs.iterator(); |
| 364 | for (Chunk<O>.ChunkIterator outputIterator = outputs.iterator(); outputIterator.hasNext();) { |
| 365 | |
| 366 | inputIterator.next(); |
| 367 | outputIterator.next(); |
| 368 | |
| 369 | checkSkipPolicy(inputIterator, outputIterator, e, contribution, true); |
| 370 | if (!rollbackClassifier.classify(e)) { |
| 371 | throw new RetryException( |
| 372 | "Invalid retry state during recovery caused by exception that does not classify for rollback: ", |
| 373 | e); |
| 374 | } |
| 375 | |
| 376 | } |
| 377 | |
| 378 | return null; |
| 379 | |
| 380 | } |
| 381 | |
| 382 | }; |
| 383 | |
| 384 | batchRetryTemplate.execute(retryCallback, batchRecoveryCallback, |
| 385 | BatchRetryTemplate.createState(getInputKeys(inputs), rollbackClassifier)); |
| 386 | |
| 387 | } |
| 388 | else { |
| 389 | |
| 390 | RecoveryCallback<Object> recoveryCallback = new RecoveryCallback<Object>() { |
| 391 | |
| 392 | public Object recover(RetryContext context) throws Exception { |
| 393 | |
| 394 | /* |
| 395 | * If the last exception was not skippable we don't need to |
| 396 | * do any scanning. We can just bomb out with a retry |
| 397 | * exhausted. |
| 398 | */ |
| 399 | if (!shouldSkip(itemWriteSkipPolicy, context.getLastThrowable(), -1)) { |
| 400 | throw new ExhaustedRetryException( |
| 401 | "Retry exhausted after last attempt in recovery path, but exception is not skippable.", |
| 402 | context.getLastThrowable()); |
| 403 | } |
| 404 | |
| 405 | inputs.setBusy(true); |
| 406 | data.scanning(true); |
| 407 | scan(contribution, inputs, outputs, chunkMonitor, true); |
| 408 | return null; |
| 409 | } |
| 410 | |
| 411 | }; |
| 412 | |
| 413 | if (logger.isDebugEnabled()) { |
| 414 | logger.debug("Attempting to write: " + inputs); |
| 415 | } |
| 416 | try { |
| 417 | batchRetryTemplate.execute(retryCallback, recoveryCallback, new DefaultRetryState(inputs, |
| 418 | rollbackClassifier)); |
| 419 | } |
| 420 | catch (Exception e) { |
| 421 | RetryContext context = contextHolder.get(); |
| 422 | if (!batchRetryTemplate.canRetry(context)) { |
| 423 | /* |
| 424 | * BATCH-1761: we need advance warning of the scan about to |
| 425 | * start in the next transaction, so we can change the |
| 426 | * processing behaviour. |
| 427 | */ |
| 428 | data.scanning(true); |
| 429 | } |
| 430 | throw e; |
| 431 | } |
| 432 | |
| 433 | } |
| 434 | |
| 435 | callSkipListeners(inputs, outputs); |
| 436 | |
| 437 | } |
| 438 | |
| 439 | private void callSkipListeners(final Chunk<I> inputs, final Chunk<O> outputs) { |
| 440 | |
| 441 | for (SkipWrapper<I> wrapper : inputs.getSkips()) { |
| 442 | I item = wrapper.getItem(); |
| 443 | if (item == null) { |
| 444 | continue; |
| 445 | } |
| 446 | Throwable e = wrapper.getException(); |
| 447 | callProcessSkipListener(item, e); |
| 448 | } |
| 449 | |
| 450 | for (SkipWrapper<O> wrapper : outputs.getSkips()) { |
| 451 | Throwable e = wrapper.getException(); |
| 452 | try { |
| 453 | getListener().onSkipInWrite(wrapper.getItem(), e); |
| 454 | } |
| 455 | catch (RuntimeException ex) { |
| 456 | throw new SkipListenerFailedException("Fatal exception in SkipListener.", ex, e); |
| 457 | } |
| 458 | } |
| 459 | |
| 460 | // Clear skips if we are possibly going to process this chunk again |
| 461 | outputs.clearSkips(); |
| 462 | inputs.clearSkips(); |
| 463 | |
| 464 | } |
| 465 | |
| 466 | /** |
| 467 | * Convenience method for calling process skip listener, so that it can be |
| 468 | * called from multiple places. |
| 469 | * |
| 470 | * @param item the item that is skipped |
| 471 | * @param e the cause of the skip |
| 472 | */ |
| 473 | private void callProcessSkipListener(I item, Throwable e) { |
| 474 | try { |
| 475 | getListener().onSkipInProcess(item, e); |
| 476 | } |
| 477 | catch (RuntimeException ex) { |
| 478 | throw new SkipListenerFailedException("Fatal exception in SkipListener.", ex, e); |
| 479 | } |
| 480 | } |
| 481 | |
| 482 | /** |
| 483 | * Convenience method for calling process skip policy, so that it can be |
| 484 | * called from multiple places. |
| 485 | * |
| 486 | * @param policy the skip policy |
| 487 | * @param e the cause of the skip |
| 488 | * @param skipCount the current skip count |
| 489 | */ |
| 490 | private boolean shouldSkip(SkipPolicy policy, Throwable e, int skipCount) { |
| 491 | try { |
| 492 | return policy.shouldSkip(e, skipCount); |
| 493 | } |
| 494 | catch (SkipLimitExceededException ex) { |
| 495 | throw ex; |
| 496 | } |
| 497 | catch (RuntimeException ex) { |
| 498 | throw new SkipListenerFailedException("Fatal exception in SkipPolicy.", ex, e); |
| 499 | } |
| 500 | } |
| 501 | |
| 502 | private Object getInputKey(I item) { |
| 503 | if (keyGenerator == null) { |
| 504 | return item; |
| 505 | } |
| 506 | return keyGenerator.getKey(item); |
| 507 | } |
| 508 | |
| 509 | private List<?> getInputKeys(final Chunk<I> inputs) { |
| 510 | if (keyGenerator == null) { |
| 511 | return inputs.getItems(); |
| 512 | } |
| 513 | List<Object> keys = new ArrayList<Object>(); |
| 514 | for (I item : inputs.getItems()) { |
| 515 | keys.add(keyGenerator.getKey(item)); |
| 516 | } |
| 517 | return keys; |
| 518 | } |
| 519 | |
| 520 | private void checkSkipPolicy(Chunk<I>.ChunkIterator inputIterator, Chunk<O>.ChunkIterator outputIterator, |
| 521 | Throwable e, StepContribution contribution, boolean recovery) throws Exception { |
| 522 | logger.debug("Checking skip policy after failed write"); |
| 523 | if (shouldSkip(itemWriteSkipPolicy, e, contribution.getStepSkipCount())) { |
| 524 | contribution.incrementWriteSkipCount(); |
| 525 | inputIterator.remove(); |
| 526 | outputIterator.remove(e); |
| 527 | logger.debug("Skipping after failed write", e); |
| 528 | } |
| 529 | else { |
| 530 | if (recovery) { |
| 531 | // Only if already recovering should we check skip policy |
| 532 | throw new RetryException("Non-skippable exception in recoverer", e); |
| 533 | } |
| 534 | else { |
| 535 | if (e instanceof Exception) { |
| 536 | throw (Exception) e; |
| 537 | } |
| 538 | else if (e instanceof Error) { |
| 539 | throw (Error) e; |
| 540 | } |
| 541 | else { |
| 542 | throw new RetryException("Non-skippable throwable in recoverer", e); |
| 543 | } |
| 544 | } |
| 545 | } |
| 546 | } |
| 547 | |
| 548 | private void scan(final StepContribution contribution, final Chunk<I> inputs, final Chunk<O> outputs, |
| 549 | ChunkMonitor chunkMonitor, boolean recovery) throws Exception { |
| 550 | |
| 551 | @SuppressWarnings("unchecked") |
| 552 | final UserData<O> data = (UserData<O>) inputs.getUserData(); |
| 553 | |
| 554 | if (logger.isDebugEnabled()) { |
| 555 | if (recovery) { |
| 556 | logger.debug("Scanning for failed item on recovery from write: " + inputs); |
| 557 | } |
| 558 | else { |
| 559 | logger.debug("Scanning for failed item on write: " + inputs); |
| 560 | } |
| 561 | } |
| 562 | if (outputs.isEmpty()) { |
| 563 | data.scanning(false); |
| 564 | inputs.setBusy(false); |
| 565 | return; |
| 566 | } |
| 567 | |
| 568 | Chunk<I>.ChunkIterator inputIterator = inputs.iterator(); |
| 569 | Chunk<O>.ChunkIterator outputIterator = outputs.iterator(); |
| 570 | |
| 571 | List<O> items = Collections.singletonList(outputIterator.next()); |
| 572 | inputIterator.next(); |
| 573 | try { |
| 574 | writeItems(items); |
| 575 | // If successful we are going to return and allow |
| 576 | // the driver to commit... |
| 577 | doAfterWrite(items); |
| 578 | contribution.incrementWriteCount(1); |
| 579 | inputIterator.remove(); |
| 580 | outputIterator.remove(); |
| 581 | } |
| 582 | catch (Exception e) { |
| 583 | doOnWriteError(e, items); |
| 584 | if (!shouldSkip(itemWriteSkipPolicy, e, -1) && !rollbackClassifier.classify(e)) { |
| 585 | inputIterator.remove(); |
| 586 | outputIterator.remove(); |
| 587 | } |
| 588 | else { |
| 589 | checkSkipPolicy(inputIterator, outputIterator, e, contribution, recovery); |
| 590 | } |
| 591 | if (rollbackClassifier.classify(e)) { |
| 592 | throw e; |
| 593 | } |
| 594 | } |
| 595 | chunkMonitor.incrementOffset(); |
| 596 | if (outputs.isEmpty()) { |
| 597 | data.scanning(false); |
| 598 | inputs.setBusy(false); |
| 599 | chunkMonitor.resetOffset(); |
| 600 | } |
| 601 | } |
| 602 | |
| 603 | private static class UserData<O> { |
| 604 | |
| 605 | private Chunk<O> outputs; |
| 606 | |
| 607 | private int filterCount = 0; |
| 608 | |
| 609 | private boolean scanning; |
| 610 | |
| 611 | public boolean scanning() { |
| 612 | return scanning; |
| 613 | } |
| 614 | |
| 615 | public void scanning(boolean scanning) { |
| 616 | this.scanning = scanning; |
| 617 | } |
| 618 | |
| 619 | public void incrementFilterCount() { |
| 620 | filterCount++; |
| 621 | } |
| 622 | |
| 623 | public Chunk<O> getOutputs() { |
| 624 | return outputs; |
| 625 | } |
| 626 | |
| 627 | public void setOutputs(Chunk<O> outputs) { |
| 628 | this.outputs = outputs; |
| 629 | } |
| 630 | |
| 631 | } |
| 632 | |
| 633 | } |