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[ML] Mute ForecastIT.testOverflowToDisk in EAR builds (#60040) 

Due to https://github.com/elastic/elasticsearch/issues/58806
This commit is contained in:
David Roberts 2020-07-22 10:11:44 +01:00
parent c06c9fb966
commit 7358f9fb05
1 changed files with 8 additions and 4 deletions
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12
x-pack/plugin/ml/qa/native-multi-node-tests/src/test/java/org/elasticsearch/xpack/ml/integration/ForecastIT.java
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@ -215,6 +215,10 @@ public class ForecastIT extends MlNativeAutodetectIntegTestCase {
public void testOverflowToDisk() throws Exception {
assumeFalse("https://github.com/elastic/elasticsearch/issues/44609", Constants.WINDOWS);
// This test repeatedly fails in encryption-at-rest (EAR) builds, and
// the only way to detect such a build appears to be the CI job name
assumeFalse("https://github.com/elastic/elasticsearch/issues/58806",
System.getenv().getOrDefault("JOB_NAME", "not a CI build").contains("EAR"));
Detector.Builder detector = new Detector.Builder("mean", "value");
detector.setByFieldName("clientIP");
@ -393,7 +397,7 @@ public class ForecastIT extends MlNativeAutodetectIntegTestCase {
job.setAnalysisConfig(analysisConfig);
job.setDataDescription(dataDescription);
String jobId = job.getId();
registerJob(job);
putJob(job);
openJob(job.getId());
@ -409,7 +413,7 @@ public class ForecastIT extends MlNativeAutodetectIntegTestCase {
postData(job.getId(), data.stream().collect(Collectors.joining()));
flushJob(job.getId(), false);
String forecastId = forecast(jobId, TimeValue.timeValueDays(1000), TimeValue.ZERO);
waitForecastStatus(jobId, forecastId, ForecastRequestStats.ForecastRequestStatus.values());
@ -453,7 +457,7 @@ public class ForecastIT extends MlNativeAutodetectIntegTestCase {
postData(job.getId(), data.stream().collect(Collectors.joining()));
flushJob(job.getId(), false);
// Now we can start doing forecast requests
String forecastId = forecast(job.getId(),
@ -472,7 +476,7 @@ public class ForecastIT extends MlNativeAutodetectIntegTestCase {
assertThat(forecastDuration1HourNoExpiry.getRecordCount(), equalTo(1L));
assertThat(forecasts.size(), equalTo(1));
}
private void createDataWithLotsOfClientIps(TimeValue bucketSpan, Job.Builder job) {
long now = Instant.now().getEpochSecond();
long timestamp = now - 15 * bucketSpan.seconds();