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[ML] Remove multiple_bucket_spans
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This commit removes the never released multiple_bucket_spans
configuration parameter. This is now replaced with the new
multibucket feature that requires no configuration.
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dimitris-athanasiou committed Aug 1, 2018
1 parent 478f6d6 commit 55e6f96
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Showing 4 changed files with 20 additions and 154 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -64,7 +64,6 @@ public class AnalysisConfig implements ToXContentObject, Writeable {
private static final ParseField OVERLAPPING_BUCKETS = new ParseField("overlapping_buckets");
private static final ParseField RESULT_FINALIZATION_WINDOW = new ParseField("result_finalization_window");
private static final ParseField MULTIVARIATE_BY_FIELDS = new ParseField("multivariate_by_fields");
private static final ParseField MULTIPLE_BUCKET_SPANS = new ParseField("multiple_bucket_spans");
private static final ParseField USER_PER_PARTITION_NORMALIZATION = new ParseField("use_per_partition_normalization");

public static final String ML_CATEGORY_FIELD = "mlcategory";
Expand Down Expand Up @@ -99,9 +98,6 @@ private static ConstructingObjectParser<AnalysisConfig.Builder, Void> createPars
parser.declareBoolean(Builder::setOverlappingBuckets, OVERLAPPING_BUCKETS);
parser.declareLong(Builder::setResultFinalizationWindow, RESULT_FINALIZATION_WINDOW);
parser.declareBoolean(Builder::setMultivariateByFields, MULTIVARIATE_BY_FIELDS);
parser.declareStringArray((builder, values) -> builder.setMultipleBucketSpans(
values.stream().map(v -> TimeValue.parseTimeValue(v, MULTIPLE_BUCKET_SPANS.getPreferredName()))
.collect(Collectors.toList())), MULTIPLE_BUCKET_SPANS);
parser.declareBoolean(Builder::setUsePerPartitionNormalization, USER_PER_PARTITION_NORMALIZATION);

return parser;
Expand All @@ -121,13 +117,12 @@ private static ConstructingObjectParser<AnalysisConfig.Builder, Void> createPars
private final Boolean overlappingBuckets;
private final Long resultFinalizationWindow;
private final Boolean multivariateByFields;
private final List<TimeValue> multipleBucketSpans;
private final boolean usePerPartitionNormalization;

private AnalysisConfig(TimeValue bucketSpan, String categorizationFieldName, List<String> categorizationFilters,
CategorizationAnalyzerConfig categorizationAnalyzerConfig, TimeValue latency, String summaryCountFieldName,
List<Detector> detectors, List<String> influencers, Boolean overlappingBuckets, Long resultFinalizationWindow,
Boolean multivariateByFields, List<TimeValue> multipleBucketSpans, boolean usePerPartitionNormalization) {
Boolean multivariateByFields, boolean usePerPartitionNormalization) {
this.detectors = detectors;
this.bucketSpan = bucketSpan;
this.latency = latency;
Expand All @@ -139,7 +134,6 @@ private AnalysisConfig(TimeValue bucketSpan, String categorizationFieldName, Lis
this.overlappingBuckets = overlappingBuckets;
this.resultFinalizationWindow = resultFinalizationWindow;
this.multivariateByFields = multivariateByFields;
this.multipleBucketSpans = multipleBucketSpans == null ? null : Collections.unmodifiableList(multipleBucketSpans);
this.usePerPartitionNormalization = usePerPartitionNormalization;
}

Expand All @@ -159,16 +153,18 @@ public AnalysisConfig(StreamInput in) throws IOException {
overlappingBuckets = in.readOptionalBoolean();
resultFinalizationWindow = in.readOptionalLong();
multivariateByFields = in.readOptionalBoolean();
if (in.readBoolean()) {
final int arraySize = in.readVInt();
final List<TimeValue> spans = new ArrayList<>(arraySize);
for (int i = 0; i < arraySize; i++) {
spans.add(in.readTimeValue());

// BWC for removed multiple_bucket_spans
// TODO Remove in 7.0.0
if (in.getVersion().before(Version.V_6_5_0)) {
if (in.readBoolean()) {
final int arraySize = in.readVInt();
for (int i = 0; i < arraySize; i++) {
in.readTimeValue();
}
}
multipleBucketSpans = Collections.unmodifiableList(spans);
} else {
multipleBucketSpans = null;
}

usePerPartitionNormalization = in.readBoolean();
}

Expand All @@ -192,15 +188,13 @@ public void writeTo(StreamOutput out) throws IOException {
out.writeOptionalBoolean(overlappingBuckets);
out.writeOptionalLong(resultFinalizationWindow);
out.writeOptionalBoolean(multivariateByFields);
if (multipleBucketSpans != null) {
out.writeBoolean(true);
out.writeVInt(multipleBucketSpans.size());
for (TimeValue span : multipleBucketSpans) {
out.writeTimeValue(span);
}
} else {

// BWC for removed multiple_bucket_spans
// TODO Remove in 7.0.0
if (out.getVersion().before(Version.V_6_5_0)) {
out.writeBoolean(false);
}

out.writeBoolean(usePerPartitionNormalization);
}

Expand Down Expand Up @@ -305,10 +299,6 @@ public Boolean getMultivariateByFields() {
return multivariateByFields;
}

public List<TimeValue> getMultipleBucketSpans() {
return multipleBucketSpans;
}

public boolean getUsePerPartitionNormalization() {
return usePerPartitionNormalization;
}
Expand Down Expand Up @@ -413,10 +403,6 @@ public XContentBuilder toXContent(XContentBuilder builder, Params params) throws
if (multivariateByFields != null) {
builder.field(MULTIVARIATE_BY_FIELDS.getPreferredName(), multivariateByFields);
}
if (multipleBucketSpans != null) {
builder.field(MULTIPLE_BUCKET_SPANS.getPreferredName(),
multipleBucketSpans.stream().map(TimeValue::getStringRep).collect(Collectors.toList()));
}
if (usePerPartitionNormalization) {
builder.field(USER_PER_PARTITION_NORMALIZATION.getPreferredName(), usePerPartitionNormalization);
}
Expand All @@ -440,16 +426,15 @@ public boolean equals(Object o) {
Objects.equals(influencers, that.influencers) &&
Objects.equals(overlappingBuckets, that.overlappingBuckets) &&
Objects.equals(resultFinalizationWindow, that.resultFinalizationWindow) &&
Objects.equals(multivariateByFields, that.multivariateByFields) &&
Objects.equals(multipleBucketSpans, that.multipleBucketSpans);
Objects.equals(multivariateByFields, that.multivariateByFields);
}

@Override
public int hashCode() {
return Objects.hash(
bucketSpan, categorizationFieldName, categorizationFilters, categorizationAnalyzerConfig, latency,
summaryCountFieldName, detectors, influencers, overlappingBuckets, resultFinalizationWindow,
multivariateByFields, multipleBucketSpans, usePerPartitionNormalization
multivariateByFields, usePerPartitionNormalization
);
}

Expand All @@ -468,7 +453,6 @@ public static class Builder {
private Boolean overlappingBuckets;
private Long resultFinalizationWindow;
private Boolean multivariateByFields;
private List<TimeValue> multipleBucketSpans;
private boolean usePerPartitionNormalization = false;

public Builder(List<Detector> detectors) {
Expand All @@ -488,8 +472,6 @@ public Builder(AnalysisConfig analysisConfig) {
this.overlappingBuckets = analysisConfig.overlappingBuckets;
this.resultFinalizationWindow = analysisConfig.resultFinalizationWindow;
this.multivariateByFields = analysisConfig.multivariateByFields;
this.multipleBucketSpans = analysisConfig.multipleBucketSpans == null ? null
: new ArrayList<>(analysisConfig.multipleBucketSpans);
this.usePerPartitionNormalization = analysisConfig.usePerPartitionNormalization;
}

Expand Down Expand Up @@ -553,10 +535,6 @@ public void setMultivariateByFields(Boolean multivariateByFields) {
this.multivariateByFields = multivariateByFields;
}

public void setMultipleBucketSpans(List<TimeValue> multipleBucketSpans) {
this.multipleBucketSpans = multipleBucketSpans;
}

public void setUsePerPartitionNormalization(boolean usePerPartitionNormalization) {
this.usePerPartitionNormalization = usePerPartitionNormalization;
}
Expand Down Expand Up @@ -588,7 +566,6 @@ public AnalysisConfig build() {
verifyCategorizationAnalyzer();
verifyCategorizationFilters();
checkFieldIsNotNegativeIfSpecified(RESULT_FINALIZATION_WINDOW.getPreferredName(), resultFinalizationWindow);
verifyMultipleBucketSpans();

verifyNoMetricFunctionsWhenSummaryCountFieldNameIsSet();

Expand All @@ -603,7 +580,7 @@ public AnalysisConfig build() {

return new AnalysisConfig(bucketSpan, categorizationFieldName, categorizationFilters, categorizationAnalyzerConfig,
latency, summaryCountFieldName, detectors, influencers, overlappingBuckets,
resultFinalizationWindow, multivariateByFields, multipleBucketSpans, usePerPartitionNormalization);
resultFinalizationWindow, multivariateByFields, usePerPartitionNormalization);
}

private void verifyNoMetricFunctionsWhenSummaryCountFieldNameIsSet() {
Expand Down Expand Up @@ -727,19 +704,6 @@ private void verifyCategorizationFiltersAreValidRegex() {
}
}

private void verifyMultipleBucketSpans() {
if (multipleBucketSpans == null) {
return;
}

for (TimeValue span : multipleBucketSpans) {
if ((span.getSeconds() % bucketSpan.getSeconds() != 0L) || (span.compareTo(bucketSpan) <= 0)) {
throw ExceptionsHelper.badRequestException(
Messages.getMessage(Messages.JOB_CONFIG_MULTIPLE_BUCKETSPANS_MUST_BE_MULTIPLE, span, bucketSpan));
}
}
}

private static void checkDetectorsHavePartitionFields(List<Detector> detectors) {
for (Detector detector : detectors) {
if (!Strings.isNullOrEmpty(detector.getPartitionFieldName())) {
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -121,8 +121,6 @@ public final class Messages {
public static final String JOB_CONFIG_INVALID_TIMEFORMAT = "Invalid Time format string ''{0}''";
public static final String JOB_CONFIG_MISSING_ANALYSISCONFIG = "An analysis_config must be set";
public static final String JOB_CONFIG_MISSING_DATA_DESCRIPTION = "A data_description must be set";
public static final String JOB_CONFIG_MULTIPLE_BUCKETSPANS_MUST_BE_MULTIPLE =
"Multiple bucket_span ''{0}'' must be a multiple of the main bucket_span ''{1}''";
public static final String JOB_CONFIG_ANALYSIS_FIELD_MUST_BE_SET =
"Unless a count or temporal function is used one of field_name, by_field_name or over_field_name must be set";
public static final String JOB_CONFIG_NO_DETECTORS = "No detectors configured";
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -87,14 +87,6 @@ public static AnalysisConfig.Builder createRandomized() {
if (randomBoolean()) {
builder.setLatency(TimeValue.timeValueSeconds(randomIntBetween(1, 1_000_000)));
}
if (randomBoolean()) {
int numBucketSpans = randomIntBetween(0, 10);
List<TimeValue> multipleBucketSpans = new ArrayList<>();
for (int i = 2; i <= numBucketSpans; i++) {
multipleBucketSpans.add(TimeValue.timeValueSeconds(bucketSpan.getSeconds() * i));
}
builder.setMultipleBucketSpans(multipleBucketSpans);
}
if (randomBoolean()) {
builder.setMultivariateByFields(randomBoolean());
}
Expand Down Expand Up @@ -255,28 +247,6 @@ public void testFieldConfiguration_multipleDetectors_NotPreSummarised() {
}
}

public void testFieldConfiguration_singleDetector_PreSummarised() {
// Multiple detectors, pre-summarised
AnalysisConfig.Builder builder = createConfigBuilder();
builder.setSummaryCountFieldName("summaryCount");
AnalysisConfig ac = builder.build();

assertTrue(ac.analysisFields().contains("summaryCount"));
assertEquals("summaryCount", ac.getSummaryCountFieldName());

builder = createConfigBuilder();
builder.setBucketSpan(TimeValue.timeValueSeconds(1000));
builder.setMultipleBucketSpans(Arrays.asList(
TimeValue.timeValueSeconds(5000), TimeValue.timeValueSeconds(10000), TimeValue.timeValueSeconds(24000)));
ac = builder.build();
assertTrue(ac.getMultipleBucketSpans().contains(TimeValue.timeValueSeconds(5000)));
assertTrue(ac.getMultipleBucketSpans().contains(TimeValue.timeValueSeconds(10000)));
assertTrue(ac.getMultipleBucketSpans().contains(TimeValue.timeValueSeconds(24000)));

assertEquals(1, ac.getDetectors().size());
assertEquals(0, ac.getDetectors().get(0).getDetectorIndex());
}

public void testBuild_GivenMlCategoryUsedAsByFieldButNoCategorizationFieldName() {
Detector.Builder detector = new Detector.Builder();
detector.setFunction("count");
Expand Down Expand Up @@ -693,58 +663,6 @@ public void testVerify_GivenMetricAndSummaryCountField() {
assertEquals(Messages.getMessage(Messages.JOB_CONFIG_FUNCTION_INCOMPATIBLE_PRESUMMARIZED, DetectorFunction.METRIC), e.getMessage());
}

public void testMultipleBucketsConfig() {
AnalysisConfig.Builder ac = createValidConfig();
ac.setMultipleBucketSpans(Arrays.asList(
TimeValue.timeValueSeconds(10L),
TimeValue.timeValueSeconds(15L),
TimeValue.timeValueSeconds(20L),
TimeValue.timeValueSeconds(25L),
TimeValue.timeValueSeconds(30L),
TimeValue.timeValueSeconds(35L)));
List<Detector> detectors = new ArrayList<>();
Detector detector = new Detector.Builder("count", null).build();
detectors.add(detector);
ac.setDetectors(detectors);

ac.setBucketSpan(TimeValue.timeValueSeconds(4L));
ElasticsearchException e = ESTestCase.expectThrows(ElasticsearchException.class, ac::build);
assertEquals(Messages.getMessage(Messages.JOB_CONFIG_MULTIPLE_BUCKETSPANS_MUST_BE_MULTIPLE, "10s", "4s"), e.getMessage());

ac.setBucketSpan(TimeValue.timeValueSeconds(5L));
ac.build();

AnalysisConfig.Builder ac2 = createValidConfig();
ac2.setBucketSpan(TimeValue.timeValueSeconds(5L));
ac2.setDetectors(detectors);
ac2.setMultipleBucketSpans(Arrays.asList(
TimeValue.timeValueSeconds(10L),
TimeValue.timeValueSeconds(15L),
TimeValue.timeValueSeconds(20L),
TimeValue.timeValueSeconds(25L),
TimeValue.timeValueSeconds(30L)));
assertFalse(ac.equals(ac2));
ac2.setMultipleBucketSpans(Arrays.asList(
TimeValue.timeValueSeconds(10L),
TimeValue.timeValueSeconds(15L),
TimeValue.timeValueSeconds(20L),
TimeValue.timeValueSeconds(25L),
TimeValue.timeValueSeconds(30L),
TimeValue.timeValueSeconds(35L)));

ac.setBucketSpan(TimeValue.timeValueSeconds(222L));
ac.setMultipleBucketSpans(Collections.emptyList());
ac.build();

ac.setMultipleBucketSpans(Collections.singletonList(TimeValue.timeValueSeconds(222L)));
e = ESTestCase.expectThrows(ElasticsearchException.class, ac::build);
assertEquals(Messages.getMessage(Messages.JOB_CONFIG_MULTIPLE_BUCKETSPANS_MUST_BE_MULTIPLE, "3.7m", "3.7m"), e.getMessage());

ac.setMultipleBucketSpans(Arrays.asList(TimeValue.timeValueSeconds(-444L), TimeValue.timeValueSeconds(-888L)));
e = ESTestCase.expectThrows(ElasticsearchException.class, ac::build);
assertEquals(Messages.getMessage(Messages.JOB_CONFIG_MULTIPLE_BUCKETSPANS_MUST_BE_MULTIPLE, -444, "3.7m"), e.getMessage());
}

public void testVerify_GivenCategorizationFiltersButNoCategorizationFieldName() {
AnalysisConfig.Builder config = createValidConfig();
config.setCategorizationFilters(Collections.singletonList("foo"));
Expand Down Expand Up @@ -838,7 +756,7 @@ private static AnalysisConfig.Builder createValidCategorizationConfig() {
@Override
protected AnalysisConfig mutateInstance(AnalysisConfig instance) {
AnalysisConfig.Builder builder = new AnalysisConfig.Builder(instance);
switch (between(0, 12)) {
switch (between(0, 11)) {
case 0:
List<Detector> detectors = new ArrayList<>(instance.getDetectors());
Detector.Builder detector = new Detector.Builder();
Expand All @@ -849,7 +767,6 @@ protected AnalysisConfig mutateInstance(AnalysisConfig instance) {
break;
case 1:
builder.setBucketSpan(new TimeValue(instance.getBucketSpan().millis() + (between(1, 1000) * 1000)));
builder.setMultipleBucketSpans(Collections.emptyList());
break;
case 2:
if (instance.getLatency() == null) {
Expand Down Expand Up @@ -939,16 +856,6 @@ protected AnalysisConfig mutateInstance(AnalysisConfig instance) {
}
break;
case 11:
List<TimeValue> multipleBucketSpans;
if (instance.getMultipleBucketSpans() == null) {
multipleBucketSpans = new ArrayList<>();
} else {
multipleBucketSpans = new ArrayList<>(instance.getMultipleBucketSpans());
}
multipleBucketSpans.add(new TimeValue(between(2, 10) * instance.getBucketSpan().millis()));
builder.setMultipleBucketSpans(multipleBucketSpans);
break;
case 12:
boolean usePerPartitionNormalization = instance.getUsePerPartitionNormalization() == false;
builder.setUsePerPartitionNormalization(usePerPartitionNormalization);
if (usePerPartitionNormalization) {
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -74,7 +74,6 @@ public class ProcessCtrl {
static final String LENGTH_ENCODED_INPUT_ARG = "--lengthEncodedInput";
static final String MODEL_CONFIG_ARG = "--modelconfig=";
public static final String QUANTILES_STATE_PATH_ARG = "--quantilesState=";
static final String MULTIPLE_BUCKET_SPANS_ARG = "--multipleBucketspans=";
static final String PER_PARTITION_NORMALIZATION = "--perPartitionNormalization";

/*
Expand Down Expand Up @@ -155,8 +154,6 @@ public static List<String> buildAutodetectCommand(Environment env, Settings sett
addIfNotNull(analysisConfig.getLatency(), LATENCY_ARG, command);
addIfNotNull(analysisConfig.getSummaryCountFieldName(),
SUMMARY_COUNT_FIELD_ARG, command);
addIfNotNull(analysisConfig.getMultipleBucketSpans(),
MULTIPLE_BUCKET_SPANS_ARG, command);
if (Boolean.TRUE.equals(analysisConfig.getOverlappingBuckets())) {
Long window = analysisConfig.getResultFinalizationWindow();
if (window == null) {
Expand Down

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