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Simplified AutodetectProcess interface: 

* Removed getPersistStream() method from this interface and let the NativeAutodetectProcess implementation deal with this. The persist stream is an implementation detail and BlackHoleAutodetectProcess doesn't deal with this too.
* Replaced getProcessOutStream() method with readAutodetectResults() method. This method now returns a `Iterator<AutodetectResult>` instead of an inputstream. This makes the BlackHoleAutodetectProcess and future mocked implementations easier.

Original commit: elastic/x-pack-elasticsearch@086e7b40ab
This commit is contained in:
Martijn van Groningen 2017-02-02 11:51:34 +01:00
parent 9d9572e2b2
commit 1b65366478
19 changed files with 251 additions and 380 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/MlPlugin.java
View File

@ -78,7 +78,6 @@ import org.elasticsearch.xpack.ml.job.process.autodetect.AutodetectProcessFactor
import org.elasticsearch.xpack.ml.job.process.autodetect.AutodetectProcessManager;
import org.elasticsearch.xpack.ml.job.process.autodetect.BlackHoleAutodetectProcess;
import org.elasticsearch.xpack.ml.job.process.autodetect.NativeAutodetectProcessFactory;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutodetectResultsParser;
import org.elasticsearch.xpack.ml.job.process.normalizer.MultiplyingNormalizerProcess;
import org.elasticsearch.xpack.ml.job.process.normalizer.NativeNormalizerProcessFactory;
import org.elasticsearch.xpack.ml.job.process.normalizer.NormalizerFactory;
@ -214,7 +213,7 @@ public class MlPlugin extends Plugin implements ActionPlugin {
try {
NativeController nativeController = new NativeController(env, new NamedPipeHelper());
nativeController.tailLogsInThread();
autodetectProcessFactory = new NativeAutodetectProcessFactory(jobProvider, env, settings, nativeController);
autodetectProcessFactory = new NativeAutodetectProcessFactory(jobProvider, env, settings, nativeController, client);
normalizerProcessFactory = new NativeNormalizerProcessFactory(env, settings, nativeController);
} catch (IOException e) {
throw new ElasticsearchException("Failed to create native process factories", e);
@ -228,9 +227,8 @@ public class MlPlugin extends Plugin implements ActionPlugin {
}
NormalizerFactory normalizerFactory = new NormalizerFactory(normalizerProcessFactory,
threadPool.executor(MlPlugin.THREAD_POOL_NAME));
AutodetectResultsParser autodetectResultsParser = new AutodetectResultsParser(settings);
AutodetectProcessManager dataProcessor = new AutodetectProcessManager(settings, client, threadPool, jobManager, jobProvider,
jobResultsPersister, jobDataCountsPersister, autodetectResultsParser, autodetectProcessFactory, normalizerFactory);
jobResultsPersister, jobDataCountsPersister, autodetectProcessFactory, normalizerFactory);
DatafeedJobRunner datafeedJobRunner = new DatafeedJobRunner(threadPool, client, clusterService, jobProvider,
System::currentTimeMillis);
PersistentActionService persistentActionService = new PersistentActionService(Settings.EMPTY, clusterService, client);

17
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/persistence/JobResultsPersister.java
View File

@ -13,7 +13,6 @@ import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.Client;
import org.elasticsearch.common.UUIDs;
import org.elasticsearch.common.bytes.BytesReference;
import org.elasticsearch.common.component.AbstractComponent;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.ToXContent;
@ -280,22 +279,6 @@ public class JobResultsPersister extends AbstractComponent {
// read again by this process
}
/**
* Persist state sent from the native process
*/
public void persistBulkState(String jobId, BytesReference bytesRef) {
try {
// No validation - assume the native process has formatted the state correctly
byte[] bytes = bytesRef.toBytesRef().bytes;
logger.trace("[{}] ES API CALL: bulk index", jobId);
client.prepareBulk()
.add(bytes, 0, bytes.length)
.execute().actionGet();
} catch (Exception e) {
logger.error(new ParameterizedMessage("[{}] Error persisting bulk state", jobId), e);
}
}
/**
* Delete any existing interim results synchronously
*/

17
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/process/autodetect/AutodetectCommunicator.java
View File

@ -11,14 +11,12 @@ import org.elasticsearch.ElasticsearchStatusException;
import org.elasticsearch.common.CheckedSupplier;
import org.elasticsearch.common.logging.Loggers;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.xpack.ml.job.config.AnalysisConfig;
import org.elasticsearch.xpack.ml.job.config.DataDescription;
import org.elasticsearch.xpack.ml.job.config.Job;
import org.elasticsearch.xpack.ml.job.messages.Messages;
import org.elasticsearch.xpack.ml.job.process.CountingInputStream;
import org.elasticsearch.xpack.ml.job.process.DataCountsReporter;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutoDetectResultProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.StateProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.DataLoadParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.InterimResultsParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.DataCounts;
@ -34,7 +32,6 @@ import java.time.Duration;
import java.time.ZonedDateTime;
import java.util.Optional;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.atomic.AtomicReference;
import java.util.function.Consumer;
import java.util.function.Supplier;
@ -52,23 +49,13 @@ public class AutodetectCommunicator implements Closeable {
final AtomicReference<CountDownLatch> inUse = new AtomicReference<>();
public AutodetectCommunicator(ExecutorService autoDetectExecutor, Job job, AutodetectProcess process,
DataCountsReporter dataCountsReporter, AutoDetectResultProcessor autoDetectResultProcessor,
StateProcessor stateProcessor, Consumer<Exception> handler) {
public AutodetectCommunicator(Job job, AutodetectProcess process, DataCountsReporter dataCountsReporter,
AutoDetectResultProcessor autoDetectResultProcessor, Consumer<Exception> handler) {
this.job = job;
this.autodetectProcess = process;
this.dataCountsReporter = dataCountsReporter;
this.autoDetectResultProcessor = autoDetectResultProcessor;
this.handler = handler;
AnalysisConfig analysisConfig = job.getAnalysisConfig();
boolean usePerPartitionNormalization = analysisConfig.getUsePerPartitionNormalization();
autoDetectExecutor.execute(() ->
autoDetectResultProcessor.process(process.getProcessOutStream(), usePerPartitionNormalization)
);
autoDetectExecutor.execute(() ->
stateProcessor.process(job.getId(), process.getPersistStream())
);
}
public void writeJobInputHeader() throws IOException {

14
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/process/autodetect/AutodetectProcess.java
View File

@ -7,11 +7,12 @@ package org.elasticsearch.xpack.ml.job.process.autodetect;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.DataLoadParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.InterimResultsParams;
import org.elasticsearch.xpack.ml.job.results.AutodetectResult;
import java.io.Closeable;
import java.io.IOException;
import java.io.InputStream;
import java.time.ZonedDateTime;
import java.util.Iterator;
/**
* Interface representing the native C++ autodetect process
@ -60,16 +61,9 @@ public interface AutodetectProcess extends Closeable {
void flushStream() throws IOException;
/**
* Autodetect's output stream
* @return output stream
* @return stream of autodetect results.
*/
InputStream getProcessOutStream();
/**
* Autodetect's state persistence stream
* @return persist stream
*/
InputStream getPersistStream();
Iterator<AutodetectResult> readAutodetectResults();
/**
* The time the process was started

31
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/process/autodetect/AutodetectProcessManager.java
View File

@ -13,6 +13,7 @@ import org.elasticsearch.common.collect.Tuple;
import org.elasticsearch.common.component.AbstractComponent;
import org.elasticsearch.common.settings.Setting;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.util.concurrent.EsRejectedExecutionException;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.threadpool.ThreadPool;
import org.elasticsearch.xpack.ml.MlPlugin;
@ -28,8 +29,6 @@ import org.elasticsearch.xpack.ml.job.persistence.JobRenormalizedResultsPersiste
import org.elasticsearch.xpack.ml.job.persistence.JobResultsPersister;
import org.elasticsearch.xpack.ml.job.process.DataCountsReporter;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutoDetectResultProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutodetectResultsParser;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.StateProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.DataLoadParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.InterimResultsParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.DataCounts;
@ -66,11 +65,9 @@ public class AutodetectProcessManager extends AbstractComponent {
private final ThreadPool threadPool;
private final JobManager jobManager;
private final JobProvider jobProvider;
private final AutodetectResultsParser parser;
private final AutodetectProcessFactory autodetectProcessFactory;
private final NormalizerFactory normalizerFactory;
private final StateProcessor stateProcessor;
private final JobResultsPersister jobResultsPersister;
private final JobDataCountsPersister jobDataCountsPersister;
@ -80,20 +77,18 @@ public class AutodetectProcessManager extends AbstractComponent {
public AutodetectProcessManager(Settings settings, Client client, ThreadPool threadPool, JobManager jobManager,
JobProvider jobProvider, JobResultsPersister jobResultsPersister,
JobDataCountsPersister jobDataCountsPersister, AutodetectResultsParser parser,
JobDataCountsPersister jobDataCountsPersister,
AutodetectProcessFactory autodetectProcessFactory, NormalizerFactory normalizerFactory) {
super(settings);
this.client = client;
this.threadPool = threadPool;
this.maxAllowedRunningJobs = MAX_RUNNING_JOBS_PER_NODE.get(settings);
this.parser = parser;
this.autodetectProcessFactory = autodetectProcessFactory;
this.normalizerFactory = normalizerFactory;
this.jobManager = jobManager;
this.jobProvider = jobProvider;
this.jobResultsPersister = jobResultsPersister;
this.stateProcessor = new StateProcessor(settings, jobResultsPersister);
this.jobDataCountsPersister = jobDataCountsPersister;
this.autoDetectCommunicatorByJob = new ConcurrentHashMap<>();
@ -227,26 +222,25 @@ public class AutodetectProcessManager extends AbstractComponent {
RestStatus.CONFLICT);
}
// TODO norelease, once we remove black hole process
// then we can remove this method and move not enough threads logic to the auto detect process factory
Job job = jobManager.getJobOrThrowIfUnknown(jobId);
// A TP with no queue, so that we fail immediately if there are no threads available
ExecutorService executorService = threadPool.executor(MlPlugin.AUTODETECT_PROCESS_THREAD_POOL_NAME);
try (DataCountsReporter dataCountsReporter = new DataCountsReporter(threadPool, settings, job.getId(), dataCounts,
jobDataCountsPersister)) {
ScoresUpdater scoresUpdator = new ScoresUpdater(job, jobProvider, new JobRenormalizedResultsPersister(settings, client),
ScoresUpdater scoresUpdater = new ScoresUpdater(job, jobProvider, new JobRenormalizedResultsPersister(settings, client),
normalizerFactory);
Renormalizer renormalizer = new ShortCircuitingRenormalizer(jobId, scoresUpdator,
Renormalizer renormalizer = new ShortCircuitingRenormalizer(jobId, scoresUpdater,
threadPool.executor(MlPlugin.THREAD_POOL_NAME), job.getAnalysisConfig().getUsePerPartitionNormalization());
AutoDetectResultProcessor processor = new AutoDetectResultProcessor(jobId, renormalizer, jobResultsPersister, parser);
AutodetectProcess process = null;
AutodetectProcess process = autodetectProcessFactory.createAutodetectProcess(job, modelSnapshot, quantiles, filters,
ignoreDowntime, executorService);
boolean usePerPartitionNormalization = job.getAnalysisConfig().getUsePerPartitionNormalization();
AutoDetectResultProcessor processor = new AutoDetectResultProcessor(jobId, renormalizer, jobResultsPersister);
try {
process = autodetectProcessFactory.createAutodetectProcess(job, modelSnapshot, quantiles, filters,
ignoreDowntime, executorService);
return new AutodetectCommunicator(executorService, job, process, dataCountsReporter, processor, stateProcessor, handler);
} catch (Exception e) {
executorService.submit(() -> processor.process(process, usePerPartitionNormalization));
} catch (EsRejectedExecutionException e) {
// If submitting the operation to read the results from the process fails we need to close
// the process too, so that other submitted operations to threadpool are stopped.
try {
IOUtils.close(process);
} catch (IOException ioe) {
@ -254,6 +248,7 @@ public class AutodetectProcessManager extends AbstractComponent {
}
throw e;
}
return new AutodetectCommunicator(job, process, dataCountsReporter, processor, handler);
}
}

72
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/process/autodetect/BlackHoleAutodetectProcess.java
View File

@ -7,25 +7,22 @@ package org.elasticsearch.xpack.ml.job.process.autodetect;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.common.logging.Loggers;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.FlushAcknowledgement;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.DataLoadParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.InterimResultsParams;
import org.elasticsearch.xpack.ml.job.results.AutodetectResult;
import java.io.IOException;
import java.io.InputStream;
import java.io.PipedInputStream;
import java.io.PipedOutputStream;
import java.nio.charset.StandardCharsets;
import java.time.ZonedDateTime;
import java.util.Iterator;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.BlockingQueue;
/**
* A placeholder class simulating the actions of the native Autodetect process.
* Most methods consume data without performing any action however, after a call to
* {@link #flushJob(InterimResultsParams)} a {@link org.elasticsearch.xpack.ml.job.process.autodetect.output.FlushAcknowledgement}
* message is expected on the {@link #getProcessOutStream()} stream. This class writes the flush
* message is expected on the {@link #readAutodetectResults()} ()} stream. This class writes the flush
* acknowledgement immediately.
*/
public class BlackHoleAutodetectProcess implements AutodetectProcess {
@ -33,28 +30,11 @@ public class BlackHoleAutodetectProcess implements AutodetectProcess {
private static final Logger LOGGER = Loggers.getLogger(BlackHoleAutodetectProcess.class);
private static final String FLUSH_ID = "flush-1";
private final PipedInputStream processOutStream;
private final PipedInputStream persistStream;
private PipedOutputStream pipedProcessOutStream;
private PipedOutputStream pipedPersistStream;
private final ZonedDateTime startTime;
private final BlockingQueue<AutodetectResult> results = new ArrayBlockingQueue<>(128);
public BlackHoleAutodetectProcess() {
processOutStream = new PipedInputStream();
persistStream = new PipedInputStream();
try {
// jackson tries to read the first 4 bytes:
// if we don't do this the autodetect communication would fail starting
pipedProcessOutStream = new PipedOutputStream(processOutStream);
pipedProcessOutStream.write(' ');
pipedProcessOutStream.write(' ');
pipedProcessOutStream.write(' ');
pipedProcessOutStream.write('[');
pipedProcessOutStream.flush();
pipedPersistStream = new PipedOutputStream(persistStream);
} catch (IOException e) {
LOGGER.error("Error connecting PipedOutputStream", e);
}
startTime = ZonedDateTime.now();
}
@ -71,7 +51,7 @@ public class BlackHoleAutodetectProcess implements AutodetectProcess {
}
/**
* Accept the request do nothing with it but write the flush acknowledgement to {@link #getProcessOutStream()}
* Accept the request do nothing with it but write the flush acknowledgement to {@link #readAutodetectResults()}
* @param params Should interim results be generated
* @return {@link #FLUSH_ID}
*/
@ -79,11 +59,7 @@ public class BlackHoleAutodetectProcess implements AutodetectProcess {
public String flushJob(InterimResultsParams params) throws IOException {
FlushAcknowledgement flushAcknowledgement = new FlushAcknowledgement(FLUSH_ID);
AutodetectResult result = new AutodetectResult(null, null, null, null, null, null, null, null, flushAcknowledgement);
XContentBuilder builder = XContentBuilder.builder(XContentType.JSON.xContent());
builder.value(result);
pipedProcessOutStream.write(builder.string().getBytes(StandardCharsets.UTF_8));
pipedProcessOutStream.flush();
pipedProcessOutStream.write(',');
results.add(result);
return FLUSH_ID;
}
@ -93,22 +69,30 @@ public class BlackHoleAutodetectProcess implements AutodetectProcess {
@Override
public void close() throws IOException {
pipedProcessOutStream.write('{');
pipedProcessOutStream.write('}');
pipedProcessOutStream.write(']');
pipedProcessOutStream.flush();
pipedProcessOutStream.close();
pipedPersistStream.close();
}
@Override
public InputStream getProcessOutStream() {
return processOutStream;
}
public Iterator<AutodetectResult> readAutodetectResults() {
// Create a custom iterator here, because ArrayBlockingQueue iterator and stream are not blocking when empty:
return new Iterator<AutodetectResult>() {
@Override
public InputStream getPersistStream() {
return persistStream;
AutodetectResult result;
@Override
public boolean hasNext() {
try {
result = results.take();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}
return true;
}
@Override
public AutodetectResult next() {
return result;
}
};
}
@Override

32
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/process/autodetect/NativeAutodetectProcess.java
View File

@ -8,12 +8,14 @@ package org.elasticsearch.xpack.ml.job.process.autodetect;
import org.apache.logging.log4j.Logger;
import org.apache.logging.log4j.message.ParameterizedMessage;
import org.elasticsearch.common.logging.Loggers;
import org.elasticsearch.common.util.concurrent.EsRejectedExecutionException;
import org.elasticsearch.xpack.ml.job.process.logging.CppLogMessageHandler;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutodetectResultsParser;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.StateProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.DataLoadParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.InterimResultsParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.writer.ControlMsgToProcessWriter;
import org.elasticsearch.xpack.ml.job.process.autodetect.writer.LengthEncodedWriter;
import org.elasticsearch.xpack.ml.job.process.logging.CppLogMessageHandler;
import org.elasticsearch.xpack.ml.job.results.AutodetectResult;
import org.elasticsearch.xpack.ml.utils.ExceptionsHelper;
import java.io.BufferedOutputStream;
@ -23,6 +25,7 @@ import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.time.ZonedDateTime;
import java.util.Iterator;
import java.util.List;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
@ -40,25 +43,28 @@ class NativeAutodetectProcess implements AutodetectProcess {
private final CppLogMessageHandler cppLogHandler;
private final OutputStream processInStream;
private final InputStream processOutStream;
private final InputStream persistStream;
private final LengthEncodedWriter recordWriter;
private final ZonedDateTime startTime;
private final int numberOfAnalysisFields;
private final List<Path> filesToDelete;
private Future<?> logTailFuture;
private Future<?> stateProcessorFuture;
private AutodetectResultsParser resultsParser;
NativeAutodetectProcess(String jobId, InputStream logStream, OutputStream processInStream, InputStream processOutStream,
InputStream persistStream, int numberOfAnalysisFields, List<Path> filesToDelete,
ExecutorService executorService) throws EsRejectedExecutionException {
int numberOfAnalysisFields, List<Path> filesToDelete, AutodetectResultsParser resultsParser) {
this.jobId = jobId;
cppLogHandler = new CppLogMessageHandler(jobId, logStream);
this.processInStream = new BufferedOutputStream(processInStream);
this.processOutStream = processOutStream;
this.persistStream = persistStream;
this.recordWriter = new LengthEncodedWriter(this.processInStream);
startTime = ZonedDateTime.now();
this.numberOfAnalysisFields = numberOfAnalysisFields;
this.filesToDelete = filesToDelete;
this.resultsParser = resultsParser;
}
public void start(ExecutorService executorService, StateProcessor stateProcessor, InputStream persistStream) {
logTailFuture = executorService.submit(() -> {
try (CppLogMessageHandler h = cppLogHandler) {
h.tailStream();
@ -66,6 +72,9 @@ class NativeAutodetectProcess implements AutodetectProcess {
LOGGER.error(new ParameterizedMessage("[{}] Error tailing C++ process logs", new Object[] { jobId }), e);
}
});
stateProcessorFuture = executorService.submit(() -> {
stateProcessor.process(jobId, persistStream);
});
}
@Override
@ -105,6 +114,8 @@ class NativeAutodetectProcess implements AutodetectProcess {
// wait for the process to exit by waiting for end-of-file on the named pipe connected to its logger
// this may take a long time as it persists the model state
logTailFuture.get(30, TimeUnit.MINUTES);
// the state processor should have stopped by now as the process should have exit
stateProcessorFuture.get(1, TimeUnit.SECONDS);
if (cppLogHandler.seenFatalError()) {
throw ExceptionsHelper.serverError(cppLogHandler.getErrors());
}
@ -135,13 +146,8 @@ class NativeAutodetectProcess implements AutodetectProcess {
}
@Override
public InputStream getProcessOutStream() {
return processOutStream;
}
@Override
public InputStream getPersistStream() {
return persistStream;
public Iterator<AutodetectResult> readAutodetectResults() {
return resultsParser.parseResults(processOutStream);
}
@Override

23
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/process/autodetect/NativeAutodetectProcessFactory.java
View File

@ -7,18 +7,21 @@ package org.elasticsearch.xpack.ml.job.process.autodetect;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.util.IOUtils;
import org.elasticsearch.client.Client;
import org.elasticsearch.common.logging.Loggers;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.util.concurrent.EsRejectedExecutionException;
import org.elasticsearch.env.Environment;
import org.elasticsearch.xpack.ml.job.config.Job;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSnapshot;
import org.elasticsearch.xpack.ml.job.config.MlFilter;
import org.elasticsearch.xpack.ml.job.persistence.JobProvider;
import org.elasticsearch.xpack.ml.job.process.NativeController;
import org.elasticsearch.xpack.ml.job.process.ProcessCtrl;
import org.elasticsearch.xpack.ml.job.process.ProcessPipes;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutodetectResultsParser;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.StateProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSnapshot;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.Quantiles;
import org.elasticsearch.xpack.ml.job.config.MlFilter;
import org.elasticsearch.xpack.ml.utils.ExceptionsHelper;
import org.elasticsearch.xpack.ml.utils.NamedPipeHelper;
@ -39,16 +42,19 @@ public class NativeAutodetectProcessFactory implements AutodetectProcessFactory
private static final NamedPipeHelper NAMED_PIPE_HELPER = new NamedPipeHelper();
private static final Duration PROCESS_STARTUP_TIMEOUT = Duration.ofSeconds(2);
private final Client client;
private final Environment env;
private final Settings settings;
private final JobProvider jobProvider;
private final NativeController nativeController;
public NativeAutodetectProcessFactory(JobProvider jobProvider, Environment env, Settings settings, NativeController nativeController) {
public NativeAutodetectProcessFactory(JobProvider jobProvider, Environment env, Settings settings,
NativeController nativeController, Client client) {
this.env = Objects.requireNonNull(env);
this.settings = Objects.requireNonNull(settings);
this.jobProvider = Objects.requireNonNull(jobProvider);
this.nativeController = Objects.requireNonNull(nativeController);
this.client = client;
}
@Override
@ -60,11 +66,14 @@ public class NativeAutodetectProcessFactory implements AutodetectProcessFactory
createNativeProcess(job, quantiles, filters, processPipes, ignoreDowntime, filesToDelete);
int numberOfAnalysisFields = job.getAnalysisConfig().analysisFields().size();
NativeAutodetectProcess autodetect = null;
StateProcessor stateProcessor = new StateProcessor(settings, client);
AutodetectResultsParser resultsParser = new AutodetectResultsParser(settings);
NativeAutodetectProcess autodetect = new NativeAutodetectProcess(
job.getId(), processPipes.getLogStream().get(), processPipes.getProcessInStream().get(),
processPipes.getProcessOutStream().get(), numberOfAnalysisFields, filesToDelete, resultsParser
);
try {
autodetect = new NativeAutodetectProcess(job.getId(), processPipes.getLogStream().get(),
processPipes.getProcessInStream().get(), processPipes.getProcessOutStream().get(),
processPipes.getPersistStream().get(), numberOfAnalysisFields, filesToDelete, executorService);
autodetect.start(executorService, stateProcessor, processPipes.getPersistStream().get());
if (modelSnapshot != null) {
// TODO (norelease): I don't think we should do this in the background. If this happens then we should wait
// until restore it is done before we can accept data.

24
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/process/autodetect/output/AutoDetectResultProcessor.java
View File

@ -9,6 +9,7 @@ import org.apache.logging.log4j.Logger;
import org.apache.logging.log4j.message.ParameterizedMessage;
import org.elasticsearch.common.logging.Loggers;
import org.elasticsearch.xpack.ml.job.persistence.JobResultsPersister;
import org.elasticsearch.xpack.ml.job.process.autodetect.AutodetectProcess;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSizeStats;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSnapshot;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.Quantiles;
@ -21,16 +22,14 @@ import org.elasticsearch.xpack.ml.job.results.Influencer;
import org.elasticsearch.xpack.ml.job.results.ModelDebugOutput;
import org.elasticsearch.xpack.ml.job.results.PerPartitionMaxProbabilities;
import java.io.InputStream;
import java.time.Duration;
import java.util.Iterator;
import java.util.List;
import java.util.concurrent.CountDownLatch;
import java.util.stream.Stream;
/**
* A runnable class that reads the autodetect process output in the
* {@link #process(InputStream, boolean)} method and persists parsed
* {@link #process(AutodetectProcess, boolean)} method and persists parsed
* results via the {@linkplain JobResultsPersister} passed in the constructor.
* <p>
* Has methods to register and remove alert observers.
@ -52,35 +51,31 @@ public class AutoDetectResultProcessor {
private final String jobId;
private final Renormalizer renormalizer;
private final JobResultsPersister persister;
private final AutodetectResultsParser parser;
final CountDownLatch completionLatch = new CountDownLatch(1);
private final FlushListener flushListener;
private volatile ModelSizeStats latestModelSizeStats;
public AutoDetectResultProcessor(String jobId, Renormalizer renormalizer, JobResultsPersister persister,
AutodetectResultsParser parser) {
this(jobId, renormalizer, persister, parser, new FlushListener());
public AutoDetectResultProcessor(String jobId, Renormalizer renormalizer, JobResultsPersister persister) {
this(jobId, renormalizer, persister, new FlushListener());
}
AutoDetectResultProcessor(String jobId, Renormalizer renormalizer, JobResultsPersister persister, AutodetectResultsParser parser,
FlushListener flushListener) {
AutoDetectResultProcessor(String jobId, Renormalizer renormalizer, JobResultsPersister persister, FlushListener flushListener) {
this.jobId = jobId;
this.renormalizer = renormalizer;
this.persister = persister;
this.parser = parser;
this.flushListener = flushListener;
ModelSizeStats.Builder builder = new ModelSizeStats.Builder(jobId);
latestModelSizeStats = builder.build();
}
public void process(InputStream in, boolean isPerPartitionNormalization) {
try (Stream<AutodetectResult> stream = parser.parseResults(in)) {
public void process(AutodetectProcess process, boolean isPerPartitionNormalization) {
Context context = new Context(jobId, isPerPartitionNormalization, persister.bulkPersisterBuilder(jobId));
try {
int bucketCount = 0;
Iterator<AutodetectResult> iterator = stream.iterator();
Context context = new Context(jobId, isPerPartitionNormalization, persister.bulkPersisterBuilder(jobId));
Iterator<AutodetectResult> iterator = process.readAutodetectResults();
while (iterator.hasNext()) {
AutodetectResult result = iterator.next();
processResult(context, result);
@ -89,7 +84,6 @@ public class AutoDetectResultProcessor {
LOGGER.trace("[{}] Bucket number {} parsed from output", jobId, bucketCount);
}
}
context.bulkResultsPersister.executeRequest();
LOGGER.info("[{}] {} buckets parsed from autodetect output", jobId, bucketCount);
LOGGER.info("[{}] Parse results Complete", jobId);

15
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/process/autodetect/output/AutodetectResultsParser.java
View File

@ -17,10 +17,6 @@ import org.elasticsearch.xpack.ml.job.results.AutodetectResult;
import java.io.IOException;
import java.io.InputStream;
import java.util.Iterator;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
/**
@ -35,7 +31,7 @@ public class AutodetectResultsParser extends AbstractComponent {
super(settings);
}
public Stream<AutodetectResult> parseResults(InputStream in) throws ElasticsearchParseException {
public Iterator<AutodetectResult> parseResults(InputStream in) throws ElasticsearchParseException {
try {
XContentParser parser = XContentFactory.xContent(XContentType.JSON).createParser(NamedXContentRegistry.EMPTY, in);
XContentParser.Token token = parser.nextToken();
@ -43,9 +39,7 @@ public class AutodetectResultsParser extends AbstractComponent {
if (token != XContentParser.Token.START_ARRAY) {
throw new ElasticsearchParseException("unexpected token [" + token + "]");
}
Spliterator<AutodetectResult> spliterator = Spliterators.spliterator(new AutodetectResultIterator(parser), Long.MAX_VALUE, 0);
return StreamSupport.stream(spliterator, false)
.onClose(() -> consumeAndCloseStream(in));
return new AutodetectResultIterator(in, parser);
} catch (IOException e) {
consumeAndCloseStream(in);
throw new ElasticsearchParseException(e.getMessage(), e);
@ -70,10 +64,12 @@ public class AutodetectResultsParser extends AbstractComponent {
private class AutodetectResultIterator implements Iterator<AutodetectResult> {
private final InputStream in;
private final XContentParser parser;
private XContentParser.Token token;
private AutodetectResultIterator(XContentParser parser) {
private AutodetectResultIterator(InputStream in, XContentParser parser) {
this.in = in;
this.parser = parser;
token = parser.currentToken();
}
@ -86,6 +82,7 @@ public class AutodetectResultsParser extends AbstractComponent {
throw new ElasticsearchParseException(e.getMessage(), e);
}
if (token == XContentParser.Token.END_ARRAY) {
consumeAndCloseStream(in);
return false;
} else if (token != XContentParser.Token.START_OBJECT) {
logger.error("Expecting Json Field name token after the Start Object token");

22
elasticsearch/src/main/java/org/elasticsearch/xpack/ml/job/process/autodetect/output/StateProcessor.java
View File

@ -6,6 +6,8 @@
package org.elasticsearch.xpack.ml.job.process.autodetect.output;
import org.apache.logging.log4j.message.ParameterizedMessage;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.client.Client;
import org.elasticsearch.common.bytes.BytesArray;
import org.elasticsearch.common.bytes.BytesReference;
import org.elasticsearch.common.bytes.CompositeBytesReference;
@ -22,11 +24,11 @@ import java.io.InputStream;
public class StateProcessor extends AbstractComponent {
private static final int READ_BUF_SIZE = 8192;
private final JobResultsPersister persister;
private final Client client;
public StateProcessor(Settings settings, JobResultsPersister persister) {
public StateProcessor(Settings settings, Client client) {
super(settings);
this.persister = persister;
this.client = client;
}
public void process(String jobId, InputStream in) {
@ -64,7 +66,8 @@ public class StateProcessor extends AbstractComponent {
// No more zero bytes in this block
break;
}
persister.persistBulkState(jobId, bytesRef.slice(splitFrom, nextZeroByte - splitFrom));
// No validation - assume the native process has formatted the state correctly
persist(jobId, bytesRef.slice(splitFrom, nextZeroByte - splitFrom));
splitFrom = nextZeroByte + 1;
}
if (splitFrom >= bytesRef.length()) {
@ -73,6 +76,17 @@ public class StateProcessor extends AbstractComponent {
return bytesRef.slice(splitFrom, bytesRef.length() - splitFrom);
}
void persist(String jobId, BytesReference bytes) {
try {
logger.trace("[{}] ES API CALL: bulk index", jobId);
BulkRequest bulkRequest = new BulkRequest();
bulkRequest.add(bytes, null, null);
client.bulk(bulkRequest).actionGet();
} catch (Exception e) {
logger.error(new ParameterizedMessage("[{}] Error persisting bulk state", jobId), e);
}
}
private static int findNextZeroByte(BytesReference bytesRef, int searchFrom, int splitFrom) {
for (int i = Math.max(searchFrom, splitFrom); i < bytesRef.length(); ++i) {
if (bytesRef.get(i) == 0) {

186
elasticsearch/src/test/java/org/elasticsearch/xpack/ml/integration/AutodetectResultProcessorIT.java
View File

@ -8,8 +8,6 @@ package org.elasticsearch.xpack.ml.integration;
import org.elasticsearch.action.ActionListener;
import org.elasticsearch.common.io.stream.Writeable;
import org.elasticsearch.common.xcontent.ToXContent;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.test.ESSingleNodeTestCase;
import org.elasticsearch.xpack.ml.action.util.QueryPage;
import org.elasticsearch.xpack.ml.job.config.AnalysisConfig;
@ -20,8 +18,8 @@ import org.elasticsearch.xpack.ml.job.persistence.InfluencersQueryBuilder;
import org.elasticsearch.xpack.ml.job.persistence.JobProvider;
import org.elasticsearch.xpack.ml.job.persistence.JobResultsPersister;
import org.elasticsearch.xpack.ml.job.persistence.RecordsQueryBuilder;
import org.elasticsearch.xpack.ml.job.process.autodetect.AutodetectProcess;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutoDetectResultProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutodetectResultsParser;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.FlushAcknowledgement;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSizeStats;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSnapshot;
@ -29,6 +27,7 @@ import org.elasticsearch.xpack.ml.job.process.autodetect.state.Quantiles;
import org.elasticsearch.xpack.ml.job.process.normalizer.Renormalizer;
import org.elasticsearch.xpack.ml.job.process.normalizer.noop.NoOpRenormalizer;
import org.elasticsearch.xpack.ml.job.results.AnomalyRecord;
import org.elasticsearch.xpack.ml.job.results.AutodetectResult;
import org.elasticsearch.xpack.ml.job.results.Bucket;
import org.elasticsearch.xpack.ml.job.results.BucketTests;
import org.elasticsearch.xpack.ml.job.results.CategoryDefinition;
@ -38,77 +37,59 @@ import org.elasticsearch.xpack.ml.job.results.ModelDebugOutput;
import org.elasticsearch.xpack.ml.job.results.ModelDebugOutputTests;
import org.junit.Before;
import java.io.IOException;
import java.io.OutputStream;
import java.io.PipedInputStream;
import java.io.PipedOutputStream;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Date;
import java.util.EnumSet;
import java.util.HashSet;
import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.Set;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicReference;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;
public class AutodetectResultProcessorIT extends ESSingleNodeTestCase {
private static final String JOB_ID = "foo";
private Renormalizer renormalizer;
private JobResultsPersister jobResultsPersister;
private AutodetectResultsParser autodetectResultsParser;
private JobProvider jobProvider;
@Before
public void createComponents() {
renormalizer = new NoOpRenormalizer();
jobResultsPersister = new JobResultsPersister(nodeSettings(), client());
autodetectResultsParser = new AutodetectResultsParser(nodeSettings());
jobProvider = new JobProvider(client(), 1);
}
public void testProcessResults() throws Exception {
createJob();
AutoDetectResultProcessor resultProcessor = new AutoDetectResultProcessor(JOB_ID, renormalizer, jobResultsPersister);
AutoDetectResultProcessor resultProcessor =
new AutoDetectResultProcessor(JOB_ID, renormalizer, jobResultsPersister, autodetectResultsParser);
PipedOutputStream outputStream = new PipedOutputStream();
PipedInputStream inputStream = new PipedInputStream(outputStream);
ResultsBuilder builder = new ResultsBuilder();
Bucket bucket = createBucket(false);
assertNotNull(bucket);
builder.addBucket(bucket);
List<AnomalyRecord> records = createRecords(false);
builder.addRecords(records);
List<Influencer> influencers = createInfluencers(false);
builder.addInfluencers(influencers);
CategoryDefinition categoryDefinition = createCategoryDefinition();
builder.addCategoryDefinition(categoryDefinition);
ModelDebugOutput modelDebugOutput = createModelDebugOutput();
builder.addModelDebugOutput(modelDebugOutput);
ModelSizeStats modelSizeStats = createModelSizeStats();
builder.addModelSizeStats(modelSizeStats);
ModelSnapshot modelSnapshot = createModelSnapshot();
builder.addModelSnapshot(modelSnapshot);
Quantiles quantiles = createQuantiles();
builder.addQuantiles(quantiles);
// Add the bucket last as the bucket result triggers persistence
ResultsBuilder resultBuilder = new ResultsBuilder()
.start()
.addRecords(records)
.addInfluencers(influencers)
.addCategoryDefinition(categoryDefinition)
.addModelDebugOutput(modelDebugOutput)
.addModelSizeStats(modelSizeStats)
.addModelSnapshot(modelSnapshot)
.addQuantiles(quantiles)
.addBucket(bucket)
.end();
new Thread(() -> {
try {
writeResults(resultBuilder.build(), outputStream);
} catch (IOException e) {
}
}).start();
resultProcessor.process(inputStream, false);
resultProcessor.process(builder.buildTestProcess(), false);
jobResultsPersister.commitResultWrites(JOB_ID);
BucketsQueryBuilder.BucketsQuery bucketsQuery = new BucketsQueryBuilder().includeInterim(true).build();
@ -125,7 +106,8 @@ public class AutodetectResultProcessorIT extends ESSingleNodeTestCase {
QueryPage<Influencer> persistedInfluencers = getInfluencers();
assertResultsAreSame(influencers, persistedInfluencers);
QueryPage<CategoryDefinition> persistedDefinition = getCategoryDefinition(Long.toString(categoryDefinition.getCategoryId()));
QueryPage<CategoryDefinition> persistedDefinition =
getCategoryDefinition(Long.toString(categoryDefinition.getCategoryId()));
assertEquals(1, persistedDefinition.count());
assertEquals(categoryDefinition, persistedDefinition.results().get(0));
@ -147,33 +129,18 @@ public class AutodetectResultProcessorIT extends ESSingleNodeTestCase {
public void testDeleteInterimResults() throws Exception {
createJob();
AutoDetectResultProcessor resultProcessor =
new AutoDetectResultProcessor(JOB_ID, renormalizer, jobResultsPersister, autodetectResultsParser);
PipedOutputStream outputStream = new PipedOutputStream();
PipedInputStream inputStream = new PipedInputStream(outputStream);
AutoDetectResultProcessor resultProcessor = new AutoDetectResultProcessor(JOB_ID, renormalizer, jobResultsPersister);
Bucket nonInterimBucket = createBucket(false);
Bucket interimBucket = createBucket(true);
ResultsBuilder resultBuilder = new ResultsBuilder()
.start()
.addRecords(createRecords(true))
.addInfluencers(createInfluencers(true))
.addBucket(interimBucket) // this will persist the interim results
.addFlushAcknowledgement(createFlushAcknowledgement())
.addBucket(nonInterimBucket) // and this will delete the interim results
.end();
.addBucket(nonInterimBucket); // and this will delete the interim results
new Thread(() -> {
try {
writeResults(resultBuilder.build(), outputStream);
} catch (IOException e) {
}
}).start();
resultProcessor.process(inputStream, false);
resultProcessor.process(resultBuilder.buildTestProcess(), false);
jobResultsPersister.commitResultWrites(JOB_ID);
QueryPage<Bucket> persistedBucket = getBucketQueryPage(new BucketsQueryBuilder().includeInterim(true).build());
@ -192,18 +159,11 @@ public class AutodetectResultProcessorIT extends ESSingleNodeTestCase {
public void testMultipleFlushesBetweenPersisting() throws Exception {
createJob();
AutoDetectResultProcessor resultProcessor =
new AutoDetectResultProcessor(JOB_ID, renormalizer, jobResultsPersister, autodetectResultsParser);
PipedOutputStream outputStream = new PipedOutputStream();
PipedInputStream inputStream = new PipedInputStream(outputStream);
AutoDetectResultProcessor resultProcessor = new AutoDetectResultProcessor(JOB_ID, renormalizer, jobResultsPersister);
Bucket finalBucket = createBucket(true);
List<AnomalyRecord> finalAnomalyRecords = createRecords(true);
ResultsBuilder resultBuilder = new ResultsBuilder()
.start()
.addRecords(createRecords(true))
.addInfluencers(createInfluencers(true))
.addBucket(createBucket(true)) // this will persist the interim results
@ -212,17 +172,9 @@ public class AutodetectResultProcessorIT extends ESSingleNodeTestCase {
.addBucket(createBucket(true)) // and this will delete the interim results and persist the new interim bucket & records
.addFlushAcknowledgement(createFlushAcknowledgement())
.addRecords(finalAnomalyRecords)
.addBucket(finalBucket) // this deletes the previous interim and persists final bucket & records
.end();
.addBucket(finalBucket); // this deletes the previous interim and persists final bucket & records
new Thread(() -> {
try {
writeResults(resultBuilder.build(), outputStream);
} catch (IOException e) {
}
}).start();
resultProcessor.process(inputStream, false);
resultProcessor.process(resultBuilder.buildTestProcess(), false);
jobResultsPersister.commitResultWrites(JOB_ID);
QueryPage<Bucket> persistedBucket = getBucketQueryPage(new BucketsQueryBuilder().includeInterim(true).build());
@ -238,32 +190,17 @@ public class AutodetectResultProcessorIT extends ESSingleNodeTestCase {
public void testEndOfStreamTriggersPersisting() throws Exception {
createJob();
AutoDetectResultProcessor resultProcessor =
new AutoDetectResultProcessor(JOB_ID, renormalizer, jobResultsPersister, autodetectResultsParser);
PipedOutputStream outputStream = new PipedOutputStream();
PipedInputStream inputStream = new PipedInputStream(outputStream);
AutoDetectResultProcessor resultProcessor = new AutoDetectResultProcessor(JOB_ID, renormalizer, jobResultsPersister);
Bucket bucket = createBucket(false);
List<AnomalyRecord> firstSetOfRecords = createRecords(false);
List<AnomalyRecord> secondSetOfRecords = createRecords(false);
ResultsBuilder resultBuilder = new ResultsBuilder()
.start()
.addRecords(firstSetOfRecords)
.addBucket(bucket) // bucket triggers persistence
.addRecords(secondSetOfRecords)
.end(); // end of stream should persist the second bunch of records
.addRecords(secondSetOfRecords);
new Thread(() -> {
try {
writeResults(resultBuilder.build(), outputStream);
} catch (IOException e) {
}
}).start();
resultProcessor.process(inputStream, false);
resultProcessor.process(resultBuilder.buildTestProcess(), false);
jobResultsPersister.commitResultWrites(JOB_ID);
QueryPage<Bucket> persistedBucket = getBucketQueryPage(new BucketsQueryBuilder().includeInterim(true).build());
@ -275,10 +212,6 @@ public class AutodetectResultProcessorIT extends ESSingleNodeTestCase {
assertResultsAreSame(allRecords, persistedRecords);
}
private void writeResults(XContentBuilder builder, OutputStream out) throws IOException {
builder.bytes().writeTo(out);
}
private void createJob() {
Detector.Builder detectorBuilder = new Detector.Builder("avg", "metric_field");
detectorBuilder.setByFieldName("by_instance");
@ -369,72 +302,61 @@ public class AutodetectResultProcessorIT extends ESSingleNodeTestCase {
}
private class ResultsBuilder {
private XContentBuilder contentBuilder;
private ResultsBuilder() throws IOException {
contentBuilder = XContentFactory.jsonBuilder();
}
private List<AutodetectResult> results = new ArrayList<>();
FlushAcknowledgement flushAcknowledgement;
ResultsBuilder start() throws IOException {
contentBuilder.startArray();
ResultsBuilder addBucket(Bucket bucket) {
results.add(new AutodetectResult(Objects.requireNonNull(bucket), null, null, null, null, null, null, null, null));
return this;
}
ResultsBuilder addBucket(Bucket bucket) throws IOException {
contentBuilder.startObject().field(Bucket.RESULT_TYPE_FIELD.getPreferredName(), bucket).endObject();
ResultsBuilder addRecords(List<AnomalyRecord> records) {
results.add(new AutodetectResult(null, records, null, null, null, null, null, null, null));
return this;
}
ResultsBuilder addRecords(List<AnomalyRecord> records) throws IOException {
contentBuilder.startObject().field(AnomalyRecord.RESULTS_FIELD.getPreferredName(), records).endObject();
ResultsBuilder addInfluencers(List<Influencer> influencers) {
results.add(new AutodetectResult(null, null, influencers, null, null, null, null, null, null));
return this;
}
ResultsBuilder addInfluencers(List<Influencer> influencers) throws IOException {
contentBuilder.startObject().field(Influencer.RESULTS_FIELD.getPreferredName(), influencers).endObject();
ResultsBuilder addCategoryDefinition(CategoryDefinition categoryDefinition) {
results.add(new AutodetectResult(null, null, null, null, null, null, null, categoryDefinition, null));
return this;
}
ResultsBuilder addCategoryDefinition(CategoryDefinition definition) throws IOException {
contentBuilder.startObject().field(CategoryDefinition.TYPE.getPreferredName(), definition).endObject();
ResultsBuilder addModelDebugOutput(ModelDebugOutput modelDebugOutput) {
results.add(new AutodetectResult(null, null, null, null, null, null, modelDebugOutput, null, null));
return this;
}
ResultsBuilder addModelDebugOutput(ModelDebugOutput modelDebugOutput) throws IOException {
contentBuilder.startObject().field(ModelDebugOutput.RESULTS_FIELD.getPreferredName(), modelDebugOutput).endObject();
ResultsBuilder addModelSizeStats(ModelSizeStats modelSizeStats) {
results.add(new AutodetectResult(null, null, null, null, null, modelSizeStats, null, null, null));
return this;
}
ResultsBuilder addModelSizeStats(ModelSizeStats modelSizeStats) throws IOException {
contentBuilder.startObject().field(ModelSizeStats.RESULT_TYPE_FIELD.getPreferredName(), modelSizeStats).endObject();
ResultsBuilder addModelSnapshot(ModelSnapshot modelSnapshot) {
results.add(new AutodetectResult(null, null, null, null, modelSnapshot, null, null, null, null));
return this;
}
ResultsBuilder addModelSnapshot(ModelSnapshot modelSnapshot) throws IOException {
contentBuilder.startObject().field(ModelSnapshot.TYPE.getPreferredName(), modelSnapshot).endObject();
ResultsBuilder addQuantiles(Quantiles quantiles) {
results.add(new AutodetectResult(null, null, null, quantiles, null, null, null, null, null));
return this;
}
ResultsBuilder addQuantiles(Quantiles quantiles) throws IOException {
contentBuilder.startObject().field(Quantiles.TYPE.getPreferredName(), quantiles).endObject();
return this;
}
ResultsBuilder addFlushAcknowledgement(FlushAcknowledgement flushAcknowledgement) throws IOException {
contentBuilder.startObject().field(FlushAcknowledgement.TYPE.getPreferredName(), flushAcknowledgement).endObject();
ResultsBuilder addFlushAcknowledgement(FlushAcknowledgement flushAcknowledgement) {
results.add(new AutodetectResult(null, null, null, null, null, null, null, null, flushAcknowledgement));
return this;
}
ResultsBuilder end() throws IOException {
contentBuilder.endArray();
return this;
}
XContentBuilder build() throws IOException {
XContentBuilder result = contentBuilder;
contentBuilder = XContentFactory.jsonBuilder();
return result;
AutodetectProcess buildTestProcess() {
AutodetectResult[] results = this.results.toArray(new AutodetectResult[0]);
AutodetectProcess process = mock(AutodetectProcess.class);
when(process.readAutodetectResults()).thenReturn(Arrays.asList(results).iterator());
return process;
}
}

9
elasticsearch/src/test/java/org/elasticsearch/xpack/ml/job/process/autodetect/AutodetectCommunicatorTests.java
View File

@ -14,7 +14,6 @@ import org.elasticsearch.xpack.ml.job.config.Detector;
import org.elasticsearch.xpack.ml.job.config.Job;
import org.elasticsearch.xpack.ml.job.process.DataCountsReporter;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutoDetectResultProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.StateProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.DataLoadParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.InterimResultsParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.TimeRange;
@ -115,11 +114,7 @@ public class AutodetectCommunicatorTests extends ESTestCase {
}
private AutodetectProcess mockAutodetectProcessWithOutputStream() throws IOException {
InputStream io = Mockito.mock(InputStream.class);
when(io.read(any(byte [].class))).thenReturn(-1);
AutodetectProcess process = Mockito.mock(AutodetectProcess.class);
when(process.getProcessOutStream()).thenReturn(io);
when(process.getPersistStream()).thenReturn(io);
when(process.isProcessAlive()).thenReturn(true);
return process;
}
@ -132,9 +127,7 @@ public class AutodetectCommunicatorTests extends ESTestCase {
return null;
}).when(executorService).execute(any(Runnable.class));
DataCountsReporter dataCountsReporter = mock(DataCountsReporter.class);
StateProcessor stateProcessor = mock(StateProcessor.class);
return new AutodetectCommunicator(executorService, createJobDetails(), autodetectProcess, dataCountsReporter,
autoDetectResultProcessor, stateProcessor, e -> {});
return new AutodetectCommunicator(createJobDetails(), autodetectProcess, dataCountsReporter, autoDetectResultProcessor, e -> {});
}
public void testWriteToJobInUse() throws IOException {

36
elasticsearch/src/test/java/org/elasticsearch/xpack/ml/job/process/autodetect/AutodetectProcessManagerTests.java
View File

@ -9,6 +9,7 @@ import org.elasticsearch.ElasticsearchException;
import org.elasticsearch.ElasticsearchStatusException;
import org.elasticsearch.client.Client;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.util.concurrent.EsExecutors;
import org.elasticsearch.common.util.concurrent.EsRejectedExecutionException;
import org.elasticsearch.test.ESTestCase;
import org.elasticsearch.threadpool.ThreadPool;
@ -26,7 +27,6 @@ import org.elasticsearch.xpack.ml.job.metadata.Allocation;
import org.elasticsearch.xpack.ml.job.persistence.JobDataCountsPersister;
import org.elasticsearch.xpack.ml.job.persistence.JobProvider;
import org.elasticsearch.xpack.ml.job.persistence.JobResultsPersister;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutodetectResultsParser;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.DataLoadParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.InterimResultsParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.TimeRange;
@ -34,7 +34,6 @@ import org.elasticsearch.xpack.ml.job.process.autodetect.state.DataCounts;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSnapshot;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.Quantiles;
import org.elasticsearch.xpack.ml.job.process.normalizer.NormalizerFactory;
import org.elasticsearch.xpack.ml.job.results.AutodetectResult;
import org.junit.Before;
import org.mockito.Mockito;
@ -45,12 +44,10 @@ import java.nio.charset.StandardCharsets;
import java.util.Collections;
import java.util.Date;
import java.util.HashSet;
import java.util.Iterator;
import java.util.Optional;
import java.util.Set;
import java.util.concurrent.ExecutorService;
import java.util.function.Consumer;
import java.util.stream.Stream;
import static org.elasticsearch.mock.orig.Mockito.doAnswer;
import static org.elasticsearch.mock.orig.Mockito.doReturn;
@ -90,6 +87,7 @@ public class AutodetectProcessManagerTests extends ESTestCase {
jobManager = mock(JobManager.class);
jobProvider = mock(JobProvider.class);
jobResultsPersister = mock(JobResultsPersister.class);
when(jobResultsPersister.bulkPersisterBuilder(any())).thenReturn(mock(JobResultsPersister.Builder.class));
jobDataCountsPersister = mock(JobDataCountsPersister.class);
normalizerFactory = mock(NormalizerFactory.class);
givenAllocationWithState(JobState.OPENED);
@ -152,28 +150,16 @@ public class AutodetectProcessManagerTests extends ESTestCase {
ThreadPool threadPool = mock(ThreadPool.class);
ThreadPool.Cancellable cancellable = mock(ThreadPool.Cancellable.class);
when(threadPool.scheduleWithFixedDelay(any(), any(), any())).thenReturn(cancellable);
ExecutorService executorService = mock(ExecutorService.class);
doAnswer(invocation -> {
((Runnable) invocation.getArguments()[0]).run();
return null;
}).when(executorService).execute(any(Runnable.class));
when(threadPool.executor(MlPlugin.AUTODETECT_PROCESS_THREAD_POOL_NAME)).thenReturn(executorService);
AutodetectResultsParser parser = mock(AutodetectResultsParser.class);
@SuppressWarnings("unchecked")
Stream<AutodetectResult> stream = mock(Stream.class);
@SuppressWarnings("unchecked")
Iterator<AutodetectResult> iterator = mock(Iterator.class);
when(stream.iterator()).thenReturn(iterator);
when(iterator.hasNext()).thenReturn(false);
when(parser.parseResults(any())).thenReturn(stream);
when(threadPool.executor(MlPlugin.AUTODETECT_PROCESS_THREAD_POOL_NAME))
.thenReturn(EsExecutors.newDirectExecutorService());
AutodetectProcess autodetectProcess = mock(AutodetectProcess.class);
when(autodetectProcess.isProcessAlive()).thenReturn(true);
when(autodetectProcess.getPersistStream()).thenReturn(new ByteArrayInputStream(new byte[0]));
when(autodetectProcess.readAutodetectResults()).thenReturn(Collections.emptyIterator());
AutodetectProcessFactory autodetectProcessFactory = (j, modelSnapshot, quantiles, filters, i, e) -> autodetectProcess;
Settings.Builder settings = Settings.builder();
settings.put(AutodetectProcessManager.MAX_RUNNING_JOBS_PER_NODE.getKey(), 3);
AutodetectProcessManager manager = spy(new AutodetectProcessManager(settings.build(), client, threadPool, jobManager, jobProvider,
jobResultsPersister, jobDataCountsPersister, parser, autodetectProcessFactory, normalizerFactory));
jobResultsPersister, jobDataCountsPersister, autodetectProcessFactory, normalizerFactory));
DataCounts dataCounts = new DataCounts("foo");
ModelSnapshot modelSnapshot = new ModelSnapshot("foo");
@ -296,7 +282,6 @@ public class AutodetectProcessManagerTests extends ESTestCase {
AutodetectCommunicator communicator = mock(AutodetectCommunicator.class);
when(communicator.writeToJob(any(), any())).thenReturn(new DataCounts("foo"));
AutodetectProcessManager manager = createManager(communicator);
givenAllocationWithState(JobState.OPENED);
InputStream inputStream = createInputStream("");
@ -310,8 +295,9 @@ public class AutodetectProcessManagerTests extends ESTestCase {
Client client = mock(Client.class);
ThreadPool threadPool = mock(ThreadPool.class);
ExecutorService executorService = mock(ExecutorService.class);
doThrow(new EsRejectedExecutionException("")).when(executorService).execute(any());
doThrow(new EsRejectedExecutionException("")).when(executorService).submit(any(Runnable.class));
when(threadPool.executor(anyString())).thenReturn(executorService);
when(threadPool.scheduleWithFixedDelay(any(), any(), any())).thenReturn(mock(ThreadPool.Cancellable.class));
when(jobManager.getJobOrThrowIfUnknown("my_id")).thenReturn(createJobDetails("my_id"));
doAnswer(invocationOnMock -> {
String jobId = (String) invocationOnMock.getArguments()[0];
@ -321,11 +307,10 @@ public class AutodetectProcessManagerTests extends ESTestCase {
return null;
}).when(jobProvider).dataCounts(eq("my_id"), any(), any());
AutodetectResultsParser parser = mock(AutodetectResultsParser.class);
AutodetectProcess autodetectProcess = mock(AutodetectProcess.class);
AutodetectProcessFactory autodetectProcessFactory = (j, modelSnapshot, quantiles, filters, i, e) -> autodetectProcess;
AutodetectProcessManager manager = new AutodetectProcessManager(Settings.EMPTY, client, threadPool, jobManager, jobProvider,
jobResultsPersister, jobDataCountsPersister, parser, autodetectProcessFactory, normalizerFactory);
jobResultsPersister, jobDataCountsPersister, autodetectProcessFactory, normalizerFactory);
expectThrows(EsRejectedExecutionException.class,
() -> manager.create("my_id", dataCounts, modelSnapshot, quantiles, filters, false, e -> {}));
@ -345,10 +330,9 @@ public class AutodetectProcessManagerTests extends ESTestCase {
private AutodetectProcessManager createManager(AutodetectCommunicator communicator, Client client) {
ThreadPool threadPool = mock(ThreadPool.class);
AutodetectResultsParser parser = mock(AutodetectResultsParser.class);
AutodetectProcessFactory autodetectProcessFactory = mock(AutodetectProcessFactory.class);
AutodetectProcessManager manager = new AutodetectProcessManager(Settings.EMPTY, client, threadPool, jobManager, jobProvider,
jobResultsPersister, jobDataCountsPersister, parser, autodetectProcessFactory, normalizerFactory);
jobResultsPersister, jobDataCountsPersister, autodetectProcessFactory, normalizerFactory);
manager = spy(manager);
doReturn(communicator).when(manager)
.create(any(), eq(dataCounts), eq(modelSnapshot), eq(quantiles), eq(filters), anyBoolean(), any());

16
elasticsearch/src/test/java/org/elasticsearch/xpack/ml/job/process/autodetect/BlackHoleAutodetectProcessTests.java
View File

@ -5,27 +5,21 @@
*/
package org.elasticsearch.xpack.ml.job.process.autodetect;
import org.elasticsearch.common.xcontent.NamedXContentRegistry;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.common.xcontent.XContentParser;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.test.ESTestCase;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.FlushAcknowledgement;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.InterimResultsParams;
import org.elasticsearch.xpack.ml.job.results.AutodetectResult;
import java.util.Iterator;
public class BlackHoleAutodetectProcessTests extends ESTestCase {
public void testFlushJob_writesAck() throws Exception {
try (BlackHoleAutodetectProcess process = new BlackHoleAutodetectProcess()) {
String flushId = process.flushJob(InterimResultsParams.builder().build());
XContentParser parser = XContentFactory.xContent(XContentType.JSON)
.createParser(NamedXContentRegistry.EMPTY, process.getProcessOutStream());
parser.nextToken(); // FlushAcknowledgementParser expects this to be
// called first
AutodetectResult result = AutodetectResult.PARSER.apply(parser, null);
Iterator<AutodetectResult> iterator = process.readAutodetectResults();
iterator.hasNext();
AutodetectResult result = iterator.next();
FlushAcknowledgement ack = result.getFlushAcknowledgement();
assertEquals(flushId, ack.getId());
}

43
elasticsearch/src/test/java/org/elasticsearch/xpack/ml/job/process/autodetect/NativeAutodetectProcessTests.java
View File

@ -5,13 +5,16 @@
*/
package org.elasticsearch.xpack.ml.job.process.autodetect;
import org.elasticsearch.common.util.concurrent.EsExecutors;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.test.ESTestCase;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.AutodetectResultsParser;
import org.elasticsearch.xpack.ml.job.process.autodetect.output.StateProcessor;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.DataLoadParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.InterimResultsParams;
import org.elasticsearch.xpack.ml.job.process.autodetect.params.TimeRange;
import org.elasticsearch.xpack.ml.job.process.autodetect.writer.ControlMsgToProcessWriter;
import org.junit.Assert;
import org.junit.Before;
import org.mockito.Mockito;
import java.io.ByteArrayOutputStream;
@ -24,21 +27,35 @@ import java.time.ZonedDateTime;
import java.time.temporal.ChronoUnit;
import java.util.Collections;
import java.util.Optional;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Future;
import static org.hamcrest.Matchers.greaterThan;
import static org.hamcrest.Matchers.is;
import static org.mockito.Matchers.any;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;
public class NativeAutodetectProcessTests extends ESTestCase {
private static final int NUMBER_ANALYSIS_FIELDS = 3;
private ExecutorService executorService;
@Before
@SuppressWarnings("unchecked")
public void initialize() {
executorService = mock(ExecutorService.class);
when(executorService.submit(any(Runnable.class))).thenReturn(mock(Future.class));
}
public void testProcessStartTime() throws Exception {
InputStream logStream = Mockito.mock(InputStream.class);
when(logStream.read(new byte[1024])).thenReturn(-1);
try (NativeAutodetectProcess process = new NativeAutodetectProcess("foo", logStream,
Mockito.mock(OutputStream.class), Mockito.mock(InputStream.class), Mockito.mock(InputStream.class),
NUMBER_ANALYSIS_FIELDS, null, EsExecutors.newDirectExecutorService())) {
Mockito.mock(OutputStream.class), Mockito.mock(InputStream.class),
NUMBER_ANALYSIS_FIELDS, null, new AutodetectResultsParser(Settings.EMPTY))) {
process.start(executorService, mock(StateProcessor.class), mock(InputStream.class));
ZonedDateTime startTime = process.getProcessStartTime();
Thread.sleep(500);
@ -56,8 +73,9 @@ public class NativeAutodetectProcessTests extends ESTestCase {
String[] record = {"r1", "r2", "r3", "r4", "r5"};
ByteArrayOutputStream bos = new ByteArrayOutputStream(1024);
try (NativeAutodetectProcess process = new NativeAutodetectProcess("foo", logStream,
bos, Mockito.mock(InputStream.class), Mockito.mock(InputStream.class),
NUMBER_ANALYSIS_FIELDS, Collections.emptyList(), EsExecutors.newDirectExecutorService())) {
bos, Mockito.mock(InputStream.class), NUMBER_ANALYSIS_FIELDS, Collections.emptyList(),
new AutodetectResultsParser(Settings.EMPTY))) {
process.start(executorService, mock(StateProcessor.class), mock(InputStream.class));
process.writeRecord(record);
process.flushStream();
@ -87,8 +105,9 @@ public class NativeAutodetectProcessTests extends ESTestCase {
when(logStream.read(new byte[1024])).thenReturn(-1);
ByteArrayOutputStream bos = new ByteArrayOutputStream(ControlMsgToProcessWriter.FLUSH_SPACES_LENGTH + 1024);
try (NativeAutodetectProcess process = new NativeAutodetectProcess("foo", logStream,
bos, Mockito.mock(InputStream.class), Mockito.mock(InputStream.class),
NUMBER_ANALYSIS_FIELDS, Collections.emptyList(), EsExecutors.newDirectExecutorService())) {
bos, Mockito.mock(InputStream.class), NUMBER_ANALYSIS_FIELDS, Collections.emptyList(),
new AutodetectResultsParser(Settings.EMPTY))) {
process.start(executorService, mock(StateProcessor.class), mock(InputStream.class));
InterimResultsParams params = InterimResultsParams.builder().build();
process.flushJob(params);
@ -103,8 +122,9 @@ public class NativeAutodetectProcessTests extends ESTestCase {
when(logStream.read(new byte[1024])).thenReturn(-1);
ByteArrayOutputStream bos = new ByteArrayOutputStream(1024);
try (NativeAutodetectProcess process = new NativeAutodetectProcess("foo", logStream,
bos, Mockito.mock(InputStream.class), Mockito.mock(InputStream.class),
NUMBER_ANALYSIS_FIELDS, Collections.emptyList(), EsExecutors.newDirectExecutorService())) {
bos, Mockito.mock(InputStream.class), NUMBER_ANALYSIS_FIELDS, Collections.emptyList(),
new AutodetectResultsParser(Settings.EMPTY))) {
process.start(executorService, mock(StateProcessor.class), mock(InputStream.class));
DataLoadParams params = new DataLoadParams(TimeRange.builder().startTime("1").endTime("86400").build(), Optional.empty());
process.writeResetBucketsControlMessage(params);
@ -120,8 +140,9 @@ public class NativeAutodetectProcessTests extends ESTestCase {
when(logStream.read(new byte[1024])).thenReturn(-1);
ByteArrayOutputStream bos = new ByteArrayOutputStream(1024);
try (NativeAutodetectProcess process = new NativeAutodetectProcess("foo", logStream,
bos, Mockito.mock(InputStream.class), Mockito.mock(InputStream.class),
NUMBER_ANALYSIS_FIELDS, Collections.emptyList(), EsExecutors.newDirectExecutorService())) {
bos, Mockito.mock(InputStream.class), NUMBER_ANALYSIS_FIELDS, Collections.emptyList(),
new AutodetectResultsParser(Settings.EMPTY))) {
process.start(executorService, mock(StateProcessor.class), mock(InputStream.class));
process.writeUpdateConfigMessage("");
process.flushStream();

19
elasticsearch/src/test/java/org/elasticsearch/xpack/ml/job/process/autodetect/output/AutoDetectResultProcessorTests.java
View File

@ -7,6 +7,7 @@ package org.elasticsearch.xpack.ml.job.process.autodetect.output;
import org.elasticsearch.test.ESTestCase;
import org.elasticsearch.xpack.ml.job.persistence.JobResultsPersister;
import org.elasticsearch.xpack.ml.job.process.autodetect.AutodetectProcess;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSizeStats;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSnapshot;
import org.elasticsearch.xpack.ml.job.process.autodetect.state.Quantiles;
@ -20,12 +21,10 @@ import org.elasticsearch.xpack.ml.job.results.ModelDebugOutput;
import org.elasticsearch.xpack.ml.job.results.PerPartitionMaxProbabilities;
import org.mockito.InOrder;
import java.io.InputStream;
import java.util.Arrays;
import java.util.Date;
import java.util.Iterator;
import java.util.List;
import java.util.stream.Stream;
import static org.mockito.Matchers.any;
import static org.mockito.Mockito.inOrder;
@ -43,19 +42,15 @@ public class AutoDetectResultProcessorTests extends ESTestCase {
public void testProcess() {
AutodetectResult autodetectResult = mock(AutodetectResult.class);
@SuppressWarnings("unchecked")
Stream<AutodetectResult> stream = mock(Stream.class);
@SuppressWarnings("unchecked")
Iterator<AutodetectResult> iterator = mock(Iterator.class);
when(stream.iterator()).thenReturn(iterator);
when(iterator.hasNext()).thenReturn(true).thenReturn(false);
when(iterator.next()).thenReturn(autodetectResult);
AutodetectResultsParser parser = mock(AutodetectResultsParser.class);
when(parser.parseResults(any())).thenReturn(stream);
AutodetectProcess process = mock(AutodetectProcess.class);
when(process.readAutodetectResults()).thenReturn(iterator);
Renormalizer renormalizer = mock(Renormalizer.class);
JobResultsPersister persister = mock(JobResultsPersister.class);
AutoDetectResultProcessor processor = new AutoDetectResultProcessor(JOB_ID, renormalizer, persister, parser);
processor.process(mock(InputStream.class), randomBoolean());
AutoDetectResultProcessor processor = new AutoDetectResultProcessor(JOB_ID, renormalizer, persister);
processor.process(process, randomBoolean());
verify(renormalizer, times(1)).waitUntilIdle();
assertEquals(0, processor.completionLatch.getCount());
}
@ -196,7 +191,7 @@ public class AutoDetectResultProcessorTests extends ESTestCase {
JobResultsPersister.Builder bulkBuilder = mock(JobResultsPersister.Builder.class);
when(persister.bulkPersisterBuilder(JOB_ID)).thenReturn(bulkBuilder);
FlushListener flushListener = mock(FlushListener.class);
AutoDetectResultProcessor processor = new AutoDetectResultProcessor(JOB_ID, renormalizer, persister, null, flushListener);
AutoDetectResultProcessor processor = new AutoDetectResultProcessor(JOB_ID, renormalizer, persister, flushListener);
AutoDetectResultProcessor.Context context = new AutoDetectResultProcessor.Context(JOB_ID, false, bulkBuilder);
context.deleteInterimRequired = false;
@ -218,7 +213,7 @@ public class AutoDetectResultProcessorTests extends ESTestCase {
JobResultsPersister persister = mock(JobResultsPersister.class);
JobResultsPersister.Builder bulkBuilder = mock(JobResultsPersister.Builder.class);
FlushListener flushListener = mock(FlushListener.class);
AutoDetectResultProcessor processor = new AutoDetectResultProcessor(JOB_ID, renormalizer, persister, null, flushListener);
AutoDetectResultProcessor processor = new AutoDetectResultProcessor(JOB_ID, renormalizer, persister, flushListener);
AutoDetectResultProcessor.Context context = new AutoDetectResultProcessor.Context(JOB_ID, false, bulkBuilder);
context.deleteInterimRequired = false;

14
elasticsearch/src/test/java/org/elasticsearch/xpack/ml/job/process/autodetect/output/AutodetectResultsParserTests.java
View File

@ -233,7 +233,7 @@ public class AutodetectResultsParserTests extends ESTestCase {
InputStream inputStream = new ByteArrayInputStream(METRIC_OUTPUT_SAMPLE.getBytes(StandardCharsets.UTF_8));
AutodetectResultsParser parser = new AutodetectResultsParser(Settings.EMPTY);
List<AutodetectResult> results = new ArrayList<>();
parser.parseResults(inputStream).iterator().forEachRemaining(results::add);
parser.parseResults(inputStream).forEachRemaining(results::add);
List<Bucket> buckets = results.stream().map(AutodetectResult::getBucket)
.filter(b -> b != null)
.collect(Collectors.toList());
@ -328,7 +328,7 @@ public class AutodetectResultsParserTests extends ESTestCase {
InputStream inputStream = new ByteArrayInputStream(POPULATION_OUTPUT_SAMPLE.getBytes(StandardCharsets.UTF_8));
AutodetectResultsParser parser = new AutodetectResultsParser(Settings.EMPTY);
List<AutodetectResult> results = new ArrayList<>();
parser.parseResults(inputStream).iterator().forEachRemaining(results::add);
parser.parseResults(inputStream).forEachRemaining(results::add);
List<Bucket> buckets = results.stream().map(AutodetectResult::getBucket)
.filter(b -> b != null)
.collect(Collectors.toList());
@ -355,7 +355,7 @@ public class AutodetectResultsParserTests extends ESTestCase {
String json = "[]";
InputStream inputStream = new ByteArrayInputStream(json.getBytes(StandardCharsets.UTF_8));
AutodetectResultsParser parser = new AutodetectResultsParser(Settings.EMPTY);
assertFalse(parser.parseResults(inputStream).iterator().hasNext());
assertFalse(parser.parseResults(inputStream).hasNext());
}
public void testParse_GivenModelSizeStats() throws ElasticsearchParseException, IOException {
@ -364,7 +364,7 @@ public class AutodetectResultsParserTests extends ESTestCase {
AutodetectResultsParser parser = new AutodetectResultsParser(Settings.EMPTY);
List<AutodetectResult> results = new ArrayList<>();
parser.parseResults(inputStream).iterator().forEachRemaining(results::add);
parser.parseResults(inputStream).forEachRemaining(results::add);
assertEquals(1, results.size());
assertEquals(300, results.get(0).getModelSizeStats().getModelBytes());
@ -375,7 +375,7 @@ public class AutodetectResultsParserTests extends ESTestCase {
InputStream inputStream = new ByteArrayInputStream(json.getBytes(StandardCharsets.UTF_8));
AutodetectResultsParser parser = new AutodetectResultsParser(Settings.EMPTY);
List<AutodetectResult> results = new ArrayList<>();
parser.parseResults(inputStream).iterator().forEachRemaining(results::add);
parser.parseResults(inputStream).forEachRemaining(results::add);
assertEquals(1, results.size());
assertEquals(18, results.get(0).getCategoryDefinition().getCategoryId());
@ -386,7 +386,7 @@ public class AutodetectResultsParserTests extends ESTestCase {
InputStream inputStream = new ByteArrayInputStream(json.getBytes(StandardCharsets.UTF_8));
AutodetectResultsParser parser = new AutodetectResultsParser(Settings.EMPTY);
IllegalArgumentException e = expectThrows(IllegalArgumentException.class,
() -> parser.parseResults(inputStream).iterator().forEachRemaining(a -> {}));
() -> parser.parseResults(inputStream).forEachRemaining(a -> {}));
assertEquals("[autodetect_result] unknown field [unknown], parser not found", e.getMessage());
}
@ -395,7 +395,7 @@ public class AutodetectResultsParserTests extends ESTestCase {
InputStream inputStream = new ByteArrayInputStream(json.getBytes(StandardCharsets.UTF_8));
AutodetectResultsParser parser = new AutodetectResultsParser(Settings.EMPTY);
ElasticsearchParseException e = expectThrows(ElasticsearchParseException.class,
() -> parser.parseResults(inputStream).iterator().forEachRemaining(a -> {}));
() -> parser.parseResults(inputStream).forEachRemaining(a -> {}));
assertEquals("unexpected token [START_ARRAY]", e.getMessage());
}

35
elasticsearch/src/test/java/org/elasticsearch/xpack/ml/job/process/autodetect/output/StateProcessorTests.java
View File

@ -6,12 +6,12 @@
package org.elasticsearch.xpack.ml.job.process.autodetect.output;
import com.carrotsearch.randomizedtesting.annotations.Timeout;
import org.elasticsearch.client.Client;
import org.elasticsearch.common.bytes.BytesReference;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.test.ESTestCase;
import org.elasticsearch.xpack.ml.job.persistence.JobResultsPersister;
import org.junit.Before;
import org.mockito.ArgumentCaptor;
import org.mockito.Mockito;
import java.io.ByteArrayInputStream;
import java.io.IOException;
@ -20,6 +20,9 @@ import java.util.List;
import static org.mockito.Matchers.any;
import static org.mockito.Matchers.eq;
import static org.mockito.Mockito.doNothing;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.spy;
import static org.mockito.Mockito.times;
import static org.mockito.Mockito.verify;
@ -41,16 +44,19 @@ public class StateProcessorTests extends ESTestCase {
private static final int NUM_LARGE_DOCS = 2;
private static final int LARGE_DOC_SIZE = 16000000;
private StateProcessor stateProcessor;
@Before
public void initialize() {
stateProcessor = spy(new StateProcessor(Settings.EMPTY, mock(Client.class)));
doNothing().when(stateProcessor).persist(any(), any());
}
public void testStateRead() throws IOException {
ByteArrayInputStream stream = new ByteArrayInputStream(STATE_SAMPLE.getBytes(StandardCharsets.UTF_8));
stateProcessor.process("_id", stream);
ArgumentCaptor<BytesReference> bytesRefCaptor = ArgumentCaptor.forClass(BytesReference.class);
JobResultsPersister persister = Mockito.mock(JobResultsPersister.class);
StateProcessor stateParser = new StateProcessor(Settings.EMPTY, persister);
stateParser.process("_id", stream);
verify(persister, times(3)).persistBulkState(eq("_id"), bytesRefCaptor.capture());
verify(stateProcessor, times(3)).persist(eq("_id"), bytesRefCaptor.capture());
String[] threeStates = STATE_SAMPLE.split("\0");
List<BytesReference> capturedBytes = bytesRefCaptor.getAllValues();
@ -68,7 +74,7 @@ public class StateProcessorTests extends ESTestCase {
public void testLargeStateRead() throws Exception {
StringBuilder builder = new StringBuilder(NUM_LARGE_DOCS * (LARGE_DOC_SIZE + 10)); // 10 for header and separators
for (int docNum = 1; docNum <= NUM_LARGE_DOCS; ++docNum) {
builder.append("header").append(docNum).append("\n");
builder.append("{\"index\":{\"_index\":\"header").append(docNum).append("\",\"_type\":\"type\"}}\n");
for (int count = 0; count < (LARGE_DOC_SIZE / "data".length()); ++count) {
builder.append("data");
}
@ -76,12 +82,7 @@ public class StateProcessorTests extends ESTestCase {
}
ByteArrayInputStream stream = new ByteArrayInputStream(builder.toString().getBytes(StandardCharsets.UTF_8));
JobResultsPersister persister = Mockito.mock(JobResultsPersister.class);
StateProcessor stateParser = new StateProcessor(Settings.EMPTY, persister);
stateParser.process("_id", stream);
verify(persister, times(NUM_LARGE_DOCS)).persistBulkState(eq("_id"), any());
stateProcessor.process("_id", stream);
verify(stateProcessor, times(NUM_LARGE_DOCS)).persist(eq("_id"), any());
}
}