[ML] Respect datafeed frequency when less or equal than query_delay (elastic/x-pack-elasticsearch#4168)
In order to deal with the most anticipated scenario, when datafeed frequency is greater than the query_delay, we add the query_delay to the frequency in order to determine the next time we will trigger a real-time run. For example, if frequency is 10s and query_delay 1s, we make sure to trigger the real-time run at a 10s + 1s = 11s offset. However, this is not correct in the case the frequency is less or equal to the query_delay. For example, if frequency is 1s and query_delay is 10s. we would also end up triggering at 11s offset. But the right behaviour would be to trigger every second while ensuring we are searching for up to 10seconds ago. This commit fixes this issue. relates elastic/x-pack-elasticsearch#4167 Original commit: elastic/x-pack-elasticsearch@f605885167
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@ -287,8 +287,14 @@ class DatafeedJob {
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}
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}
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private long nextRealtimeTimestamp() {
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private long nextRealtimeTimestamp() {
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long epochMs = currentTimeSupplier.get() + frequencyMs;
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// We find the timestamp of the start of the next frequency interval.
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return toIntervalStartEpochMs(epochMs) + queryDelayMs + NEXT_TASK_DELAY_MS;
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// The goal is to minimize any lag. To do so,
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// we offset the time by the query delay modulo frequency.
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// For example, if frequency is 60s and query delay 90s,
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// we run 30s past the minute. If frequency is 1s and query delay 10s,
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// we don't add anything and we'll run every second.
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long next = currentTimeSupplier.get() + frequencyMs;
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return toIntervalStartEpochMs(next) + queryDelayMs % frequencyMs + NEXT_TASK_DELAY_MS;
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}
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}
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private long toIntervalStartEpochMs(long epochMs) {
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private long toIntervalStartEpochMs(long epochMs) {
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@ -198,7 +198,7 @@ public class DatafeedJobTests extends ESTestCase {
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long queryDelayMs = 1000;
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long queryDelayMs = 1000;
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DatafeedJob datafeedJob = createDatafeedJob(frequencyMs, queryDelayMs, 1000, -1);
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DatafeedJob datafeedJob = createDatafeedJob(frequencyMs, queryDelayMs, 1000, -1);
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long next = datafeedJob.runRealtime();
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long next = datafeedJob.runRealtime();
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assertEquals(currentTime + frequencyMs + queryDelayMs + 100, next);
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assertEquals(currentTime + frequencyMs + 100, next);
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verify(dataExtractorFactory).newExtractor(1000L + 1L, currentTime - queryDelayMs);
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verify(dataExtractorFactory).newExtractor(1000L + 1L, currentTime - queryDelayMs);
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FlushJobAction.Request flushRequest = new FlushJobAction.Request(jobId);
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FlushJobAction.Request flushRequest = new FlushJobAction.Request(jobId);
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