[ML] Make datafeeds work with nanosecond time fields (#51180)
Allows ML datafeeds to work with time fields that have the "date_nanos" type _and make use of the extra precision_. (Previously datafeeds only worked with time fields that were exact multiples of milliseconds. So datafeeds would work with "date_nanos" only if the extra precision over "date" was not used.) Relates #49889
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@ -17,6 +17,7 @@ import org.elasticsearch.xpack.ml.MachineLearning;
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import org.yaml.snakeyaml.util.UriEncoder;
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import java.io.IOException;
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import java.io.UncheckedIOException;
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import java.util.Collections;
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import java.util.List;
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import java.util.Map;
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@ -36,7 +37,7 @@ public class MlBasicMultiNodeIT extends ESRestTestCase {
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assertTrue((Boolean) ml.get("enabled"));
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}
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public void testInvalidJob() throws Exception {
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public void testInvalidJob() {
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// The job name is invalid because it contains a space
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String jobId = "invalid job";
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ResponseException e = expectThrows(ResponseException.class, () -> createFarequoteJob(jobId));
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@ -103,11 +104,15 @@ public class MlBasicMultiNodeIT extends ESRestTestCase {
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}
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public void testMiniFarequoteWithDatafeeder() throws Exception {
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boolean datesHaveNanoSecondResolution = randomBoolean();
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String dateMappingType = datesHaveNanoSecondResolution ? "date_nanos" : "date";
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String dateFormat = datesHaveNanoSecondResolution ? "strict_date_optional_time_nanos" : "strict_date_optional_time";
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String randomNanos = datesHaveNanoSecondResolution ? "," + randomIntBetween(100000000, 999999999) : "";
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Request createAirlineDataRequest = new Request("PUT", "/airline-data");
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createAirlineDataRequest.setJsonEntity("{"
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+ " \"mappings\": {"
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+ " \"properties\": {"
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+ " \"time\": { \"type\":\"date\"},"
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+ " \"time\": { \"type\":\"" + dateMappingType + "\", \"format\":\"" + dateFormat + "\"},"
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+ " \"airline\": { \"type\":\"keyword\"},"
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+ " \"responsetime\": { \"type\":\"float\"}"
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+ " }"
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@ -115,10 +120,10 @@ public class MlBasicMultiNodeIT extends ESRestTestCase {
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+ "}");
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client().performRequest(createAirlineDataRequest);
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Request airlineData1 = new Request("PUT", "/airline-data/_doc/1");
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airlineData1.setJsonEntity("{\"time\":\"2016-06-01T00:00:00Z\",\"airline\":\"AAA\",\"responsetime\":135.22}");
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airlineData1.setJsonEntity("{\"time\":\"2016-06-01T00:00:00" + randomNanos + "Z\",\"airline\":\"AAA\",\"responsetime\":135.22}");
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client().performRequest(airlineData1);
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Request airlineData2 = new Request("PUT", "/airline-data/_doc/2");
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airlineData2.setJsonEntity("{\"time\":\"2016-06-01T01:59:00Z\",\"airline\":\"AAA\",\"responsetime\":541.76}");
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airlineData2.setJsonEntity("{\"time\":\"2016-06-01T01:59:00" + randomNanos + "Z\",\"airline\":\"AAA\",\"responsetime\":541.76}");
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client().performRequest(airlineData2);
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// Ensure all data is searchable
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@ -147,7 +152,7 @@ public class MlBasicMultiNodeIT extends ESRestTestCase {
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assertEquals(2, dataCountsDoc.get("input_record_count"));
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assertEquals(2, dataCountsDoc.get("processed_record_count"));
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} catch (IOException e) {
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throw new RuntimeException(e);
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throw new UncheckedIOException(e);
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}
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});
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@ -233,7 +238,7 @@ public class MlBasicMultiNodeIT extends ESRestTestCase {
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assertEquals(1000, responseBody2.get("bucket_count"));
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// unintuitive: should return the earliest record timestamp of this feed???
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assertEquals(null, responseBody2.get("earliest_record_timestamp"));
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assertNull(responseBody2.get("earliest_record_timestamp"));
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assertEquals(1407082000000L, responseBody2.get("latest_record_timestamp"));
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assertEquals(Collections.singletonMap("closed", true),
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@ -61,7 +61,7 @@ public class TimeBasedExtractedFields extends ExtractedFields {
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List<String> remainingFields = job.allInputFields().stream().filter(f -> !f.equals(timeField)).collect(Collectors.toList());
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List<ExtractedField> allExtractedFields = new ArrayList<>(remainingFields.size() + 1);
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allExtractedFields.add(timeExtractedField);
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remainingFields.stream().forEach(field -> allExtractedFields.add(extractionMethodDetector.detect(field)));
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remainingFields.forEach(field -> allExtractedFields.add(extractionMethodDetector.detect(field)));
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return new TimeBasedExtractedFields(timeExtractedField, allExtractedFields);
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}
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@ -94,7 +94,7 @@ public class ExtractedFields {
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}
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private ExtractedField detectNonScriptField(String field) {
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if (isFieldOfType(field, TimeField.TYPE) && isAggregatable(field)) {
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if (isFieldOfTypes(field, TimeField.TYPES) && isAggregatable(field)) {
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return new TimeField(field, ExtractedField.Method.DOC_VALUE);
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}
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if (isFieldOfType(field, GeoPointField.TYPE)) {
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@ -129,9 +129,14 @@ public class ExtractedFields {
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}
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private boolean isFieldOfType(String field, String type) {
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return isFieldOfTypes(field, Collections.singleton(type));
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}
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private boolean isFieldOfTypes(String field, Set<String> types) {
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assert types.isEmpty() == false;
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Map<String, FieldCapabilities> fieldCaps = fieldsCapabilities.getField(field);
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if (fieldCaps != null && fieldCaps.size() == 1) {
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return fieldCaps.containsKey(type);
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if (fieldCaps != null && fieldCaps.isEmpty() == false) {
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return types.containsAll(fieldCaps.keySet());
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}
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return false;
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}
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@ -5,6 +5,7 @@
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*/
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package org.elasticsearch.xpack.ml.extractor;
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import org.elasticsearch.common.util.set.Sets;
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import org.elasticsearch.search.SearchHit;
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import java.util.Collections;
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@ -13,15 +14,17 @@ import java.util.Set;
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public class TimeField extends AbstractField {
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static final String TYPE = "date";
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private static final Set<String> TYPES = Collections.singleton(TYPE);
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static final Set<String> TYPES = Collections.unmodifiableSet(Sets.newHashSet("date", "date_nanos"));
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private static final String EPOCH_MILLIS_FORMAT = "epoch_millis";
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private final Method method;
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public TimeField(String name, Method method) {
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// This class intentionally reports the possible types rather than the types reported by
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// field caps at the point of construction. This means that it will continue to work if,
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// for example, a newly created index has a "date_nanos" time field when in all the indices
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// that matched the pattern when this constructor was called the field had type "date".
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super(name, TYPES);
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if (method == Method.SOURCE) {
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throw new IllegalArgumentException("time field [" + name + "] cannot be extracted from source");
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@ -41,7 +44,23 @@ public class TimeField extends AbstractField {
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return value;
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}
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if (value[0] instanceof String) { // doc_value field with the epoch_millis format
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value[0] = Long.parseLong((String) value[0]);
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// Since nanosecond support was added epoch_millis timestamps may have a fractional component.
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// We discard this, taking just whole milliseconds. Arguably it would be better to retain the
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// precision here and let the downstream component decide whether it wants the accuracy, but
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// that makes it hard to pass around the value as a number. The double type doesn't have
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// enough digits of accuracy, and obviously long cannot store the fraction. BigDecimal would
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// work, but that isn't supported by the JSON parser if the number gets round-tripped through
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// JSON. So String is really the only format that could be used, but the ML consumers of time
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// are expecting a number.
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String strVal0 = (String) value[0];
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int dotPos = strVal0.indexOf('.');
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if (dotPos == -1) {
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value[0] = Long.parseLong(strVal0);
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} else if (dotPos > 0) {
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value[0] = Long.parseLong(strVal0.substring(0, dotPos));
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} else {
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value[0] = 0L;
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}
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} else if (value[0] instanceof Long == false) { // pre-6.0 field
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throw new IllegalStateException("Unexpected value for a time field: " + value[0].getClass());
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}
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@ -5,33 +5,61 @@
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*/
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package org.elasticsearch.xpack.ml.extractor;
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import org.elasticsearch.common.time.DateFormatter;
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import org.elasticsearch.search.SearchHit;
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import org.elasticsearch.test.ESTestCase;
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import org.elasticsearch.xpack.ml.test.SearchHitBuilder;
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import static org.hamcrest.Matchers.contains;
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import java.time.Instant;
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import static org.hamcrest.Matchers.containsInAnyOrder;
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import static org.hamcrest.Matchers.equalTo;
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import static org.hamcrest.Matchers.is;
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import static org.hamcrest.Matchers.startsWith;
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public class TimeFieldTests extends ESTestCase {
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public void testDocValueWithStringValue() {
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long millis = randomLong();
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SearchHit hit = new SearchHitBuilder(randomInt()).addField("time", Long.toString(millis)).build();
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public void testDocValueWithWholeMillisecondStringValue() {
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long millis = randomNonNegativeLong();
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Instant time = Instant.ofEpochMilli(millis);
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DateFormatter formatter = DateFormatter.forPattern("epoch_millis");
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String timeAsString = formatter.format(time);
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SearchHit hit = new SearchHitBuilder(randomInt()).addField("time", timeAsString).build();
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ExtractedField timeField = new TimeField("time", ExtractedField.Method.DOC_VALUE);
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assertThat(timeField.value(hit), equalTo(new Object[] { millis }));
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assertThat(timeField.getName(), equalTo("time"));
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assertThat(timeField.getSearchField(), equalTo("time"));
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assertThat(timeField.getTypes(), contains("date"));
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assertThat(timeField.getTypes(), containsInAnyOrder("date", "date_nanos"));
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assertThat(timeField.getMethod(), equalTo(ExtractedField.Method.DOC_VALUE));
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assertThat(timeField.getDocValueFormat(), equalTo("epoch_millis"));
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assertThat(timeField.supportsFromSource(), is(false));
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expectThrows(UnsupportedOperationException.class, () -> timeField.newFromSource());
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expectThrows(UnsupportedOperationException.class, timeField::newFromSource);
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assertThat(timeField.isMultiField(), is(false));
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expectThrows(UnsupportedOperationException.class, () -> timeField.getParentField());
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expectThrows(UnsupportedOperationException.class, timeField::getParentField);
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}
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public void testDocValueWithFractionalMillisecondStringValue() {
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long millis = randomNonNegativeLong();
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int extraNanos = randomIntBetween(1, 999999);
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Instant time = Instant.ofEpochMilli(millis).plusNanos(extraNanos);
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DateFormatter formatter = DateFormatter.forPattern("epoch_millis");
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String timeAsString = formatter.format(time);
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SearchHit hit = new SearchHitBuilder(randomInt()).addField("time", timeAsString).build();
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ExtractedField timeField = new TimeField("time", ExtractedField.Method.DOC_VALUE);
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assertThat(timeField.value(hit), equalTo(new Object[] { millis }));
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assertThat(timeField.getName(), equalTo("time"));
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assertThat(timeField.getSearchField(), equalTo("time"));
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assertThat(timeField.getTypes(), containsInAnyOrder("date", "date_nanos"));
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assertThat(timeField.getMethod(), equalTo(ExtractedField.Method.DOC_VALUE));
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assertThat(timeField.getDocValueFormat(), equalTo("epoch_millis"));
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assertThat(timeField.supportsFromSource(), is(false));
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expectThrows(UnsupportedOperationException.class, timeField::newFromSource);
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assertThat(timeField.isMultiField(), is(false));
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expectThrows(UnsupportedOperationException.class, timeField::getParentField);
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}
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public void testScriptWithLongValue() {
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@ -43,13 +71,13 @@ public class TimeFieldTests extends ESTestCase {
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assertThat(timeField.value(hit), equalTo(new Object[] { millis }));
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assertThat(timeField.getName(), equalTo("time"));
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assertThat(timeField.getSearchField(), equalTo("time"));
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assertThat(timeField.getTypes(), contains("date"));
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assertThat(timeField.getTypes(), containsInAnyOrder("date", "date_nanos"));
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assertThat(timeField.getMethod(), equalTo(ExtractedField.Method.SCRIPT_FIELD));
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expectThrows(UnsupportedOperationException.class, () -> timeField.getDocValueFormat());
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expectThrows(UnsupportedOperationException.class, timeField::getDocValueFormat);
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assertThat(timeField.supportsFromSource(), is(false));
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expectThrows(UnsupportedOperationException.class, () -> timeField.newFromSource());
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expectThrows(UnsupportedOperationException.class, timeField::newFromSource);
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assertThat(timeField.isMultiField(), is(false));
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expectThrows(UnsupportedOperationException.class, () -> timeField.getParentField());
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expectThrows(UnsupportedOperationException.class, timeField::getParentField);
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}
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public void testUnknownFormat() {
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