Fix batched forceFlush failure and make batching linear#5
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psx95 merged 27 commits intopsx95:issue-8245from Apr 27, 2026
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Signed-off-by: Gregor Zeitlinger <gregor.zeitlinger@grafana.com>
Signed-off-by: Gregor Zeitlinger <gregor.zeitlinger@grafana.com>
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Signed-off-by: Gregor Zeitlinger <gregor.zeitlinger@grafana.com>
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Signed-off-by: Gregor Zeitlinger <gregor.zeitlinger@grafana.com>
# Conflicts: # sdk/metrics/src/main/java/io/opentelemetry/sdk/metrics/export/MetricExportBatcher.java
…ropagation' into lane-a-pr-8296 # Conflicts: # sdk/metrics/src/test/java/io/opentelemetry/sdk/metrics/export/PeriodicMetricReaderTest.java Signed-off-by: Gregor Zeitlinger <gregor.zeitlinger@grafana.com>
Signed-off-by: Gregor Zeitlinger <gregor.zeitlinger@grafana.com>
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Summary
MetricExportBatchertrack current batch point count incrementally so batching stays linear instead of rescanning the active batch for every metricPeriodicMetricReader.forceFlush()aligned with the existing partial-success behavior while logging failed batch exportsforceFlush()behaviorTesting
./gradlew spotlessJavaCheck :sdk:metrics:test --tests io.opentelemetry.sdk.metrics.export.PeriodicMetricReaderTest --tests io.opentelemetry.sdk.metrics.export.MetricExportBatcherTestThis is a small follow-up to open-telemetry#8296 addressing the batching complexity concern around recomputing active batch size on every metric.