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fix: batch time series data when exporting client-side metric by rkaregar · Pull Request #2222 · googleapis/java-bigtable · GitHub
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fix: batch time series data when exporting client-side metric #2222

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rkaregar merged 4 commits into from
May 8, 2024
+107 −20
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fix: batch time series data when exporting client-side metric #2222

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28dcb65
Batch time series data when exporting client-side metric to fix issue…
rkaregar May 6, 2024
41c5c86
Apply cleanups based on the comments.
rkaregar May 7, 2024
31aed90
Revert export code changes to diagnose integration test failures.
rkaregar May 7, 2024
9132ea3
🦉 Updates from OwlBot post-processor
gcf-owl-bot[bot] May 7, 2024
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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@ If you are using Maven without the BOM, add this to your dependencies:
If you are using Gradle 5.x or later, add this to your dependencies:

```Groovy
implementation platform('com.google.cloud:libraries-bom:26.37.0')
implementation platform('com.google.cloud:libraries-bom:26.38.0')
implementation 'com.google.cloud:google-cloud-bigtable'
```
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49 changes: 30 additions & 19 deletions .../java/com/google/cloud/bigtable/data/v2/stub/metrics/BigtableCloudMonitoringExporter.java
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Expand Up @@ -42,6 +42,7 @@
import com.google.common.base.MoreObjects;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Iterables;
import com.google.common.util.concurrent.MoreExecutors;
import com.google.monitoring.v3.CreateTimeSeriesRequest;
import com.google.monitoring.v3.ProjectName;
Expand All @@ -53,6 +54,7 @@
import io.opentelemetry.sdk.metrics.data.MetricData;
import io.opentelemetry.sdk.metrics.export.MetricExporter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
Expand Down Expand Up @@ -85,6 +87,10 @@ public final class BigtableCloudMonitoringExporter implements MetricExporter {

private static final String APPLICATION_RESOURCE_PROJECT_ID = "project_id";

// This the quota limit from Cloud Monitoring. More details in
// https://cloud.google.com/monitoring/quotas#custom_metrics_quotas.
private static final int EXPORT_BATCH_SIZE_LIMIT = 200;
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private final MetricServiceClient client;

private final String bigtableProjectId;
Expand Down Expand Up @@ -216,19 +222,12 @@ private CompletableResultCode exportBigtableResourceMetrics(Collection<MetricDat
}

ProjectName projectName = ProjectName.of(bigtableProjectId);
CreateTimeSeriesRequest bigtableRequest =
CreateTimeSeriesRequest.newBuilder()
.setName(projectName.toString())
.addAllTimeSeries(bigtableTimeSeries)
.build();

ApiFuture<Empty> future =
this.client.createServiceTimeSeriesCallable().futureCall(bigtableRequest);
ApiFuture<List<Empty>> future = exportTimeSeries(projectName, bigtableTimeSeries);

CompletableResultCode bigtableExportCode = new CompletableResultCode();
ApiFutures.addCallback(
future,
new ApiFutureCallback<Empty>() {
new ApiFutureCallback<List<Empty>>() {
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@Override
public void onFailure(Throwable throwable) {
if (bigtableExportFailureLogged.compareAndSet(false, true)) {
Expand All @@ -245,7 +244,7 @@ public void onFailure(Throwable throwable) {
}

@Override
public void onSuccess(Empty empty) {
public void onSuccess(List<Empty> emptyList) {
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// When an export succeeded reset the export failure flag to false so if there's a
// transient failure it'll be logged.
bigtableExportFailureLogged.set(false);
Expand Down Expand Up @@ -290,22 +289,17 @@ private CompletableResultCode exportApplicationResourceMetrics(

// Construct the request. The project id will be the project id of the detected monitored
// resource.
ApiFuture<Empty> gceOrGkeFuture;
ApiFuture<List<Empty>> gceOrGkeFuture;
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CompletableResultCode exportCode = new CompletableResultCode();
try {
ProjectName projectName =
ProjectName.of(applicationResource.getLabelsOrThrow(APPLICATION_RESOURCE_PROJECT_ID));
CreateTimeSeriesRequest request =
CreateTimeSeriesRequest.newBuilder()
.setName(projectName.toString())
.addAllTimeSeries(timeSeries)
.build();

gceOrGkeFuture = this.client.createServiceTimeSeriesCallable().futureCall(request);
gceOrGkeFuture = exportTimeSeries(projectName, timeSeries);

ApiFutures.addCallback(
gceOrGkeFuture,
new ApiFutureCallback<Empty>() {
new ApiFutureCallback<List<Empty>>() {
@Override
public void onFailure(Throwable throwable) {
if (applicationExportFailureLogged.compareAndSet(false, true)) {
Expand All @@ -322,7 +316,7 @@ public void onFailure(Throwable throwable) {
}

@Override
public void onSuccess(Empty empty) {
public void onSuccess(List<Empty> emptyList) {
// When an export succeeded reset the export failure flag to false so if there's a
// transient failure it'll be logged.
applicationExportFailureLogged.set(false);
Expand All @@ -341,6 +335,23 @@ public void onSuccess(Empty empty) {
return exportCode;
}

private ApiFuture<List<Empty>> exportTimeSeries(
ProjectName projectName, List<TimeSeries> timeSeries) {
List<ApiFuture<Empty>> batchResults = new ArrayList<>();

for (List<TimeSeries> batch : Iterables.partition(timeSeries, EXPORT_BATCH_SIZE_LIMIT)) {
CreateTimeSeriesRequest req =
CreateTimeSeriesRequest.newBuilder()
.setName(projectName.toString())
.addAllTimeSeries(batch)
.build();
ApiFuture<Empty> f = this.client.createServiceTimeSeriesCallable().futureCall(req);
batchResults.add(f);
}

return ApiFutures.allAsList(batchResults);
}

@Override
public CompletableResultCode flush() {
if (lastExportCode != null) {
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76 changes: 76 additions & 0 deletions ...a/com/google/cloud/bigtable/data/v2/stub/metrics/BigtableCloudMonitoringExporterTest.java
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Expand Up @@ -50,7 +50,9 @@
import io.opentelemetry.sdk.metrics.internal.data.ImmutableMetricData;
import io.opentelemetry.sdk.metrics.internal.data.ImmutableSumData;
import io.opentelemetry.sdk.resources.Resource;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import org.junit.After;
import org.junit.Before;
import org.junit.Rule;
Expand Down Expand Up @@ -220,6 +222,80 @@ public void testExportingHistogramData() {
assertThat(timeSeries.getPoints(0).getInterval().getEndTime().getNanos()).isEqualTo(endEpoch);
}

@Test
public void testExportingSumDataInBatches() {
ArgumentCaptor<CreateTimeSeriesRequest> argumentCaptor =
ArgumentCaptor.forClass(CreateTimeSeriesRequest.class);

UnaryCallable<CreateTimeSeriesRequest, Empty> mockCallable = mock(UnaryCallable.class);
when(mockMetricServiceStub.createServiceTimeSeriesCallable()).thenReturn(mockCallable);
ApiFuture<Empty> future = ApiFutures.immediateFuture(Empty.getDefaultInstance());
when(mockCallable.futureCall(argumentCaptor.capture())).thenReturn(future);

long startEpoch = 10;
long endEpoch = 15;

Collection<MetricData> toExport = new ArrayList<>();
for (int i = 0; i < 250; i++) {
Attributes testAttributes =
Attributes.builder()
.put(BIGTABLE_PROJECT_ID_KEY, projectId)
.put(INSTANCE_ID_KEY, instanceId)
.put(TABLE_ID_KEY, tableId + i)
.put(CLUSTER_ID_KEY, cluster)
.put(ZONE_ID_KEY, zone)
.put(APP_PROFILE_KEY, appProfileId)
.build();
LongPointData longPointData =
ImmutableLongPointData.create(startEpoch, endEpoch, testAttributes, i);

MetricData longData =
ImmutableMetricData.createLongSum(
resource,
scope,
"bigtable.googleapis.com/internal/client/retry_count",
"description",
"1",
ImmutableSumData.create(
true, AggregationTemporality.CUMULATIVE, ImmutableList.of(longPointData)));
toExport.add(longData);
}

exporter.export(toExport);

assertThat(argumentCaptor.getAllValues()).hasSize(2);
CreateTimeSeriesRequest firstRequest = argumentCaptor.getAllValues().get(0);
CreateTimeSeriesRequest secondRequest = argumentCaptor.getAllValues().get(1);

assertThat(firstRequest.getTimeSeriesList()).hasSize(200);
assertThat(secondRequest.getTimeSeriesList()).hasSize(50);

for (int i = 0; i < 250; i++) {
TimeSeries timeSeries;
if (i < 200) {
timeSeries = firstRequest.getTimeSeriesList().get(i);
} else {
timeSeries = secondRequest.getTimeSeriesList().get(i - 200);
}

assertThat(timeSeries.getResource().getLabelsMap())
.containsExactly(
BIGTABLE_PROJECT_ID_KEY.getKey(), projectId,
INSTANCE_ID_KEY.getKey(), instanceId,
TABLE_ID_KEY.getKey(), tableId + i,
CLUSTER_ID_KEY.getKey(), cluster,
ZONE_ID_KEY.getKey(), zone);

assertThat(timeSeries.getMetric().getLabelsMap()).hasSize(2);
assertThat(timeSeries.getMetric().getLabelsMap())
.containsAtLeast(APP_PROFILE_KEY.getKey(), appProfileId, CLIENT_UID_KEY.getKey(), taskId);
assertThat(timeSeries.getPoints(0).getValue().getInt64Value()).isEqualTo(i);
assertThat(timeSeries.getPoints(0).getInterval().getStartTime().getNanos())
.isEqualTo(startEpoch);
assertThat(timeSeries.getPoints(0).getInterval().getEndTime().getNanos()).isEqualTo(endEpoch);
}
}

@Test
public void testTimeSeriesForMetricWithGceOrGkeResource() {
String gceProjectId = "fake-gce-project";
Expand Down