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This is a 'green' Flogger migration CL. Green CLs are intended to be as safe as possible and should be easy to review and submit. No changes should be necessary to the code itself prior to submission, but small changes to BUILD files may be required. Changes within files are completely independent of each other, so this CL can be safely split up for review using tools such as Rosie. For more information, see [] Base CL: 197826149 ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=198560170
169 lines
6 KiB
Java
169 lines
6 KiB
Java
// Copyright 2017 The Nomulus Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package google.registry.flows.async;
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import static com.google.appengine.api.taskqueue.QueueConstants.maxLeaseCount;
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import static com.google.monitoring.metrics.EventMetric.DEFAULT_FITTER;
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import static google.registry.flows.async.AsyncFlowMetrics.OperationType.CONTACT_AND_HOST_DELETE;
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import static google.registry.flows.async.AsyncFlowMetrics.OperationType.DNS_REFRESH;
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import com.google.common.annotations.VisibleForTesting;
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import com.google.common.collect.ImmutableSet;
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import com.google.common.flogger.FluentLogger;
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import com.google.monitoring.metrics.DistributionFitter;
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import com.google.monitoring.metrics.EventMetric;
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import com.google.monitoring.metrics.FibonacciFitter;
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import com.google.monitoring.metrics.IncrementableMetric;
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import com.google.monitoring.metrics.LabelDescriptor;
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import com.google.monitoring.metrics.MetricRegistryImpl;
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import google.registry.util.Clock;
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import google.registry.util.NonFinalForTesting;
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import javax.inject.Inject;
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import org.joda.time.DateTime;
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import org.joda.time.Duration;
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/**
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* Instrumentation for async flows (contact/host deletion and DNS refreshes).
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*
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* @see AsyncFlowEnqueuer
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*/
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public class AsyncFlowMetrics {
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private static final FluentLogger logger = FluentLogger.forEnclosingClass();
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private final Clock clock;
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@Inject
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public AsyncFlowMetrics(Clock clock) {
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this.clock = clock;
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}
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/**
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* A Fibonacci fitter used for bucketing the batch count.
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*
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* <p>We use a Fibonacci filter because it provides better resolution at the low end than an
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* exponential fitter, which is important because most batch sizes are likely to be very low,
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* despite going up to 1,000 on the high end. Also, the precision is better, as batch size is
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* inherently an integer, whereas an exponential fitter with an exponent base less than 2 would
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* have unintuitive boundaries.
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*/
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private static final DistributionFitter FITTER_BATCH_SIZE =
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FibonacciFitter.create(maxLeaseCount());
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private static final ImmutableSet<LabelDescriptor> LABEL_DESCRIPTORS =
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ImmutableSet.of(
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LabelDescriptor.create("operation_type", "The type of async flow operation."),
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LabelDescriptor.create("result", "The result of the async flow operation."));
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@NonFinalForTesting
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@VisibleForTesting
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static IncrementableMetric asyncFlowOperationCounts =
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MetricRegistryImpl.getDefault()
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.newIncrementableMetric(
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"/async_flows/operations",
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"Count of Async Flow Operations",
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"count",
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LABEL_DESCRIPTORS);
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@NonFinalForTesting
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@VisibleForTesting
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static EventMetric asyncFlowOperationProcessingTime =
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MetricRegistryImpl.getDefault()
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.newEventMetric(
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"/async_flows/processing_time",
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"Async Flow Processing Time",
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"milliseconds",
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LABEL_DESCRIPTORS,
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DEFAULT_FITTER);
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@NonFinalForTesting
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@VisibleForTesting
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static EventMetric asyncFlowBatchSize =
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MetricRegistryImpl.getDefault()
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.newEventMetric(
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"/async_flows/batch_size",
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"Async Operation Batch Size",
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"batch size",
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ImmutableSet.of(
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LabelDescriptor.create("operation_type", "The type of async flow operation.")),
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FITTER_BATCH_SIZE);
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/** The type of asynchronous operation. */
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public enum OperationType {
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CONTACT_DELETE("contactDelete"),
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HOST_DELETE("hostDelete"),
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CONTACT_AND_HOST_DELETE("contactAndHostDelete"),
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DNS_REFRESH("dnsRefresh");
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private final String metricLabelValue;
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OperationType(String metricLabelValue) {
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this.metricLabelValue = metricLabelValue;
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}
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String getMetricLabelValue() {
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return metricLabelValue;
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}
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}
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/** The result of an asynchronous operation. */
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public enum OperationResult {
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/** The operation processed correctly and the result was success. */
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SUCCESS("success"),
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/** The operation processed correctly and the result was failure. */
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FAILURE("failure"),
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/** The operation did not process correctly due to some unexpected error. */
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ERROR("error"),
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/** The operation was skipped because the request is now stale. */
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STALE("stale");
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private final String metricLabelValue;
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OperationResult(String metricLabelValue) {
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this.metricLabelValue = metricLabelValue;
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}
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String getMetricLabelValue() {
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return metricLabelValue;
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}
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}
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public void recordAsyncFlowResult(
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OperationType operationType, OperationResult operationResult, DateTime whenEnqueued) {
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asyncFlowOperationCounts.increment(
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operationType.getMetricLabelValue(), operationResult.getMetricLabelValue());
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long processingMillis = new Duration(whenEnqueued, clock.nowUtc()).getMillis();
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asyncFlowOperationProcessingTime.record(
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processingMillis,
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operationType.getMetricLabelValue(),
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operationResult.getMetricLabelValue());
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logger.atInfo().log(
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"Asynchronous %s operation took %d ms to process, yielding result: %s.",
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operationType.getMetricLabelValue(),
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processingMillis,
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operationResult.getMetricLabelValue());
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}
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public void recordContactHostDeletionBatchSize(long batchSize) {
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asyncFlowBatchSize.record(batchSize, CONTACT_AND_HOST_DELETE.getMetricLabelValue());
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}
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public void recordDnsRefreshBatchSize(long batchSize) {
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asyncFlowBatchSize.record(batchSize, DNS_REFRESH.getMetricLabelValue());
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}
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}
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