[ML] Restore model state as part of opening a job.
Before the model state was restored in the background when the job was already opened. relates elastic/x-pack-elasticsearch#751 Original commit: elastic/x-pack-elasticsearch@44a3d98365
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@ -427,9 +427,9 @@ public class MachineLearning implements ActionPlugin {
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maxNumberOfJobs * 2, 1000, "xpack.ml.thread_pool");
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// fail quick to run autodetect process / datafeed, so no queues
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// 4 threads: for c++ logging, result processing, state processing and restore state
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// 3 threads: for c++ logging, result processing, state processing
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FixedExecutorBuilder autoDetect = new FixedExecutorBuilder(settings, AUTODETECT_PROCESS_THREAD_POOL_NAME,
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maxNumberOfJobs * 4, 200, "xpack.ml.autodetect_process_thread_pool");
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maxNumberOfJobs * 3, 200, "xpack.ml.autodetect_process_thread_pool");
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// TODO: if datafeed and non datafeed jobs are considered more equal and the datafeed and
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// autodetect process are created at the same time then these two different TPs can merge.
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@ -334,6 +334,15 @@ public class OpenJobAction extends Action<OpenJobAction.Request, PersistentActio
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return;
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}
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// We need to fork, otherwise we open a job on a network thread:
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threadPool.executor(ThreadPool.Names.MANAGEMENT).execute(new AbstractRunnable() {
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@Override
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public void onFailure(Exception e) {
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listener.onFailure(e);
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}
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@Override
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protected void doRun() throws Exception {
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autodetectProcessManager.openJob(request.getJobId(), task.getPersistentTaskId(), request.isIgnoreDowntime(), e2 -> {
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if (e2 == null) {
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listener.onResponse(new TransportResponse.Empty());
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@ -341,6 +350,8 @@ public class OpenJobAction extends Action<OpenJobAction.Request, PersistentActio
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listener.onFailure(e2);
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}
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});
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}
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});
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});
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}
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@ -75,15 +75,12 @@ public class NativeAutodetectProcessFactory implements AutodetectProcessFactory
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try {
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autodetect.start(executorService, stateProcessor, processPipes.getPersistStream().get());
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if (modelSnapshot != null) {
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// TODO (norelease): I don't think we should do this in the background. If this happens then we should wait
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// until restore it is done before we can accept data.
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executorService.execute(() -> {
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try (OutputStream r = processPipes.getRestoreStream().get()) {
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jobProvider.restoreStateToStream(job.getId(), modelSnapshot, r);
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} catch (Exception e) {
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// TODO: should we fail to start?
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LOGGER.error("Error restoring model state for job " + job.getId(), e);
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}
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});
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}
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return autodetect;
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} catch (EsRejectedExecutionException e) {
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