(cherry picked from commit 928b11a34ec92d90d082abdf4fa09f7ce1d7c0c4)
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@ -87,8 +87,8 @@ actually used will be `INTERVAL '2' DAY`. If the interval specified is less than
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[IMPORTANT]
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All intervals specified for a date/time HISTOGRAM will use a <<search-aggregations-bucket-datehistogram-aggregation,fixed interval>>
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in their `date_histogram` aggregation definition, with the notable exception of `INTERVAL '1' YEAR` where a calendar interval is used.
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The choice for a calendar interval was made for having a more intuitive result for YEAR groupings. Calendar intervals consider a one year
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in their `date_histogram` aggregation definition, with the notable exceptions of `INTERVAL '1' YEAR` AND `INTERVAL '1' MONTH` where a calendar interval is used.
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The choice for a calendar interval was made for having a more intuitive result for YEAR and MONTH groupings. In the case of YEAR, for example, the calendar intervals consider a one year
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bucket as the one starting on January 1st that specific year, whereas a fixed interval one-year-bucket considers one year as a number
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of milliseconds (for example, `31536000000ms` corresponding to 365 days, 24 hours per day, 60 minutes per hour etc.). With fixed intervals,
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the day of February 5th, 2019 for example, belongs to a bucket that starts on December 20th, 2018 and {es} (and implicitly {es-sql}) would
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@ -503,6 +503,34 @@ SELECT HISTOGRAM(birth_date, INTERVAL 1 YEAR) AS h, COUNT(*) as c FROM test_emp
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null |10
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;
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histogramOneMonth
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schema::h:ts|c:l|birth_date:ts
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SELECT HISTOGRAM(birth_date, INTERVAL 1 MONTH) AS h, COUNT(*) as c, birth_date FROM test_emp GROUP BY h, birth_date HAVING c >= 1 ORDER BY h ASC LIMIT 20;
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h | c | birth_date
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------------------------+---------------+------------------------
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null |10 |null
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1952-02-01T00:00:00.000Z|1 |1952-02-27T00:00:00.000Z
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1952-04-01T00:00:00.000Z|1 |1952-04-19T00:00:00.000Z
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1952-05-01T00:00:00.000Z|1 |1952-05-15T00:00:00.000Z
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1952-06-01T00:00:00.000Z|1 |1952-06-13T00:00:00.000Z
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1952-07-01T00:00:00.000Z|1 |1952-07-08T00:00:00.000Z
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1952-08-01T00:00:00.000Z|1 |1952-08-06T00:00:00.000Z
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1952-11-01T00:00:00.000Z|1 |1952-11-13T00:00:00.000Z
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1952-12-01T00:00:00.000Z|1 |1952-12-24T00:00:00.000Z
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1953-01-01T00:00:00.000Z|1 |1953-01-07T00:00:00.000Z
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1953-01-01T00:00:00.000Z|1 |1953-01-23T00:00:00.000Z
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1953-02-01T00:00:00.000Z|1 |1953-02-08T00:00:00.000Z
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1953-04-01T00:00:00.000Z|1 |1953-04-03T00:00:00.000Z
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1953-04-01T00:00:00.000Z|1 |1953-04-20T00:00:00.000Z
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1953-04-01T00:00:00.000Z|1 |1953-04-21T00:00:00.000Z
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1953-07-01T00:00:00.000Z|1 |1953-07-28T00:00:00.000Z
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1953-09-01T00:00:00.000Z|1 |1953-09-02T00:00:00.000Z
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1953-09-01T00:00:00.000Z|1 |1953-09-19T00:00:00.000Z
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1953-09-01T00:00:00.000Z|1 |1953-09-29T00:00:00.000Z
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1953-11-01T00:00:00.000Z|1 |1953-11-07T00:00:00.000Z
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;
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histogramDateTimeWithMonthOnTop
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schema::h:i|c:l
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SELECT HISTOGRAM(MONTH(birth_date), 2) AS h, COUNT(*) as c FROM test_emp GROUP BY h ORDER BY h DESC;
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@ -6,6 +6,7 @@
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package org.elasticsearch.xpack.sql.expression.function.grouping;
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import org.elasticsearch.search.aggregations.bucket.histogram.DateHistogramInterval;
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import org.elasticsearch.xpack.ql.expression.Expression;
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import org.elasticsearch.xpack.ql.expression.Expressions.ParamOrdinal;
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import org.elasticsearch.xpack.ql.expression.Literal;
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@ -28,6 +29,8 @@ public class Histogram extends GroupingFunction {
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private final Literal interval;
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private final ZoneId zoneId;
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public static String YEAR_INTERVAL = DateHistogramInterval.YEAR.toString();
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public static String MONTH_INTERVAL = DateHistogramInterval.MONTH.toString();
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public Histogram(Source source, Expression field, Expression interval, ZoneId zoneId) {
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super(source, field, Collections.singletonList(interval));
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@ -5,10 +5,10 @@
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*/
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package org.elasticsearch.xpack.sql.expression.function.scalar.datetime;
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import org.elasticsearch.search.aggregations.bucket.histogram.DateHistogramInterval;
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import org.elasticsearch.xpack.ql.expression.Expression;
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import org.elasticsearch.xpack.ql.tree.NodeInfo.NodeCtor2;
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import org.elasticsearch.xpack.ql.tree.Source;
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import org.elasticsearch.xpack.sql.expression.function.grouping.Histogram;
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import org.elasticsearch.xpack.sql.expression.function.scalar.datetime.DateTimeProcessor.DateTimeExtractor;
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import java.time.ZoneId;
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@ -18,8 +18,6 @@ import java.time.ZoneId;
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*/
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public class Year extends DateTimeHistogramFunction {
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public static String YEAR_INTERVAL = DateHistogramInterval.YEAR.toString();
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public Year(Source source, Expression field, ZoneId zoneId) {
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super(source, field, zoneId, DateTimeExtractor.YEAR);
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}
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@ -41,6 +39,6 @@ public class Year extends DateTimeHistogramFunction {
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@Override
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public String calendarInterval() {
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return YEAR_INTERVAL;
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return Histogram.YEAR_INTERVAL;
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}
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}
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@ -41,7 +41,6 @@ import org.elasticsearch.xpack.sql.expression.function.aggregate.CompoundNumeric
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import org.elasticsearch.xpack.sql.expression.function.aggregate.TopHits;
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import org.elasticsearch.xpack.sql.expression.function.grouping.Histogram;
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import org.elasticsearch.xpack.sql.expression.function.scalar.datetime.DateTimeHistogramFunction;
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import org.elasticsearch.xpack.sql.expression.function.scalar.datetime.Year;
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import org.elasticsearch.xpack.sql.expression.literal.interval.IntervalYearMonth;
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import org.elasticsearch.xpack.sql.expression.literal.interval.Intervals;
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import org.elasticsearch.xpack.sql.plan.logical.Pivot;
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@ -91,6 +90,8 @@ import java.util.Map.Entry;
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import java.util.concurrent.atomic.AtomicReference;
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import static org.elasticsearch.xpack.ql.util.CollectionUtils.combine;
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import static org.elasticsearch.xpack.sql.expression.function.grouping.Histogram.MONTH_INTERVAL;
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import static org.elasticsearch.xpack.sql.expression.function.grouping.Histogram.YEAR_INTERVAL;
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import static org.elasticsearch.xpack.sql.planner.QueryTranslator.toAgg;
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import static org.elasticsearch.xpack.sql.planner.QueryTranslator.toQuery;
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import static org.elasticsearch.xpack.sql.type.SqlDataTypes.DATE;
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@ -283,7 +284,6 @@ class QueryFolder extends RuleExecutor<PhysicalPlan> {
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field = field.exactAttribute();
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key = new GroupByValue(aggId, field.name());
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}
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// handle functions
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else if (exp instanceof Function) {
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// dates are handled differently because of date histograms
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@ -322,13 +322,17 @@ class QueryFolder extends RuleExecutor<PhysicalPlan> {
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// date histogram
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if (isDateBased(h.dataType())) {
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Object value = h.interval().value();
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// interval of exactly 1 year
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if (value instanceof IntervalYearMonth
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&& ((IntervalYearMonth) value).interval().equals(Period.ofYears(1))) {
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String calendarInterval = Year.YEAR_INTERVAL;
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// When the histogram is `INTERVAL '1' YEAR`, the interval used in the ES date_histogram will be
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// a calendar_interval with value "1y". All other intervals will be fixed_intervals expressed in ms.
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// interval of exactly 1 year or 1 month
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if (value instanceof IntervalYearMonth &&
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(((IntervalYearMonth) value).interval().equals(Period.ofYears(1))
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|| ((IntervalYearMonth) value).interval().equals(Period.ofMonths(1)))) {
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Period yearMonth = ((IntervalYearMonth) value).interval();
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String calendarInterval = yearMonth.equals(Period.ofYears(1)) ? YEAR_INTERVAL : MONTH_INTERVAL;
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// When the histogram is `INTERVAL '1' YEAR` or `INTERVAL '1' MONTH`, the interval used in
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// the ES date_histogram will be a calendar_interval with value "1y" or "1M" respectively.
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// All other intervals will be fixed_intervals expressed in ms.
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if (field instanceof FieldAttribute) {
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key = new GroupByDateHistogram(aggId, QueryTranslator.nameOf(field), calendarInterval, h.zoneId());
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} else if (field instanceof Function) {
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@ -1054,6 +1054,30 @@ public class QueryTranslatorTests extends ESTestCase {
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+ "\"calendar_interval\":\"1y\",\"time_zone\":\"Z\"}}}]}}}"));
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}
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public void testGroupByOneMonthHistogramQueryTranslator() {
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PhysicalPlan p = optimizeAndPlan("SELECT HISTOGRAM(date, INTERVAL 1 MONTH) AS h FROM test GROUP BY h");
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assertEquals(EsQueryExec.class, p.getClass());
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EsQueryExec eqe = (EsQueryExec) p;
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assertEquals(1, eqe.output().size());
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assertEquals("h", eqe.output().get(0).qualifiedName());
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assertEquals(DATETIME, eqe.output().get(0).dataType());
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assertThat(eqe.queryContainer().aggs().asAggBuilder().toString().replaceAll("\\s+", ""),
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endsWith("\"date_histogram\":{\"field\":\"date\",\"missing_bucket\":true,\"value_type\":\"date\",\"order\":\"asc\","
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+ "\"calendar_interval\":\"1M\",\"time_zone\":\"Z\"}}}]}}}"));
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}
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public void testGroupByMoreMonthsHistogramQueryTranslator() {
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PhysicalPlan p = optimizeAndPlan("SELECT HISTOGRAM(date, INTERVAL 5 MONTH) AS h FROM test GROUP BY h");
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assertEquals(EsQueryExec.class, p.getClass());
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EsQueryExec eqe = (EsQueryExec) p;
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assertEquals(1, eqe.output().size());
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assertEquals("h", eqe.output().get(0).qualifiedName());
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assertEquals(DATETIME, eqe.output().get(0).dataType());
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assertThat(eqe.queryContainer().aggs().asAggBuilder().toString().replaceAll("\\s+", ""),
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endsWith("\"date_histogram\":{\"field\":\"date\",\"missing_bucket\":true,\"value_type\":\"date\",\"order\":\"asc\","
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+ "\"fixed_interval\":\"12960000000ms\",\"time_zone\":\"Z\"}}}]}}}"));
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}
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public void testGroupByYearAndScalarsQueryTranslator() {
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PhysicalPlan p = optimizeAndPlan("SELECT YEAR(CAST(date + INTERVAL 5 months AS DATE)) FROM test GROUP BY 1");
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assertEquals(EsQueryExec.class, p.getClass());
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