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@@ -235,13 +235,13 @@ sum:double | pod:keyword | time_bucket:datetime avg_over_time_nested_expression_in_grouping_with_alias required_capability: ts_command_v0 -TS k8s | STATS min = min(avg_over_time(network.bytes_in)) by time_bucket = bucket(date_trunc(2 minutes, @timestamp), 5 minutes) | SORT time_bucket | LIMIT 5; +TS k8s | STATS min = min(avg_over_time(network.bytes_in)) by time_bucket = bucket(@timestamp, 5 minutes) | SORT time_bucket | LIMIT 5; min:double | time_bucket:datetime -382.0416666666667 | 2024-05-10T00:00:00.000Z -382.0416666666667 | 2024-05-10T00:05:00.000Z -382.0416666666667 | 2024-05-10T00:10:00.000Z -382.0416666666667 | 2024-05-10T00:15:00.000Z -382.0416666666667 | 2024-05-10T00:20:00.000Z +307.6666666666667 | 2024-05-10T00:00:00.000Z +194.5 | 2024-05-10T00:05:00.000Z +46.75 | 2024-05-10T00:10:00.000Z +260.0 | 2024-05-10T00:15:00.000Z +174.2 | 2024-05-10T00:20:00.000Z ; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec index caa3caa01f52b..5975575170fab 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-irate.csv-spec @@ -51,7 +51,7 @@ TS k8s irate_cost:double | time_bucket:datetime null | 2024-05-10T00:01:00.000Z -7.836832264957264 | 2024-05-10T00:09:00.000Z +7.836832264957265 | 2024-05-10T00:09:00.000Z 3.590324074074074 | 2024-05-10T00:17:00.000Z 2.6708333333333334 | 2024-05-10T00:02:00.000Z 2.2916666666666665 | 2024-05-10T00:08:00.000Z diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec index 53df5f83bc97d..4a940f2e12350 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-rate.csv-spec @@ -223,3 +223,22 @@ TS k8s ; +sum_rate_per_region +required_capability: ts_command_v0 +required_capability: pack_dimensions_in_ts +TS k8s +| STATS rate_bytes_in=avg(rate(network.total_bytes_in)) BY cluster, region, time_bucket = bucket(@timestamp,5minute) +| SORT rate_bytes_in DESC, time_bucket, cluster | LIMIT 10; + +rate_bytes_in:double | cluster:keyword | region:keyword | time_bucket:datetime +15.025267167998313 | qa | null | 2024-05-10T00:15:00.000Z +13.638384356589611 | qa | null | 2024-05-10T00:05:00.000Z +11.761724575728252 | prod | [eu, us] | 2024-05-10T00:15:00.000Z +7.453275209904956 | qa | null | 2024-05-10T00:10:00.000Z +7.307225056633641 | staging | us | 2024-05-10T00:05:00.000Z +7.203958127639015 | prod | [eu, us] | 2024-05-10T00:10:00.000Z +6.34494062999877 | staging | us | 2024-05-10T00:10:00.000Z +5.700488689624205 | prod | [eu, us] | 2024-05-10T00:20:00.000Z +5.4539153439153445 | prod | [eu, us] | 2024-05-10T00:00:00.000Z +5.241187469367376 | staging | us | 2024-05-10T00:00:00.000Z +; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec index cea9ef27c656f..9d985ac8ae780 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/k8s-timeseries-sum-over-time.csv-spec @@ -220,13 +220,13 @@ sum:long | pod:keyword | time_bucket:datetime sum_over_time_nested_expression_in_grouping_with_alias required_capability: ts_command_v0 -TS k8s | STATS min = min(sum_over_time(network.bytes_in)) by time_bucket = bucket(date_trunc(2 minutes, @timestamp), 5 minutes) | SORT time_bucket | LIMIT 10; +TS k8s | STATS min = min(sum_over_time(network.bytes_in)) by time_bucket = bucket(@timestamp, 5 minutes) | SORT time_bucket | LIMIT 10; min:long | time_bucket:datetime -6160 | 2024-05-10T00:00:00.000Z -6160 | 2024-05-10T00:05:00.000Z -6160 | 2024-05-10T00:10:00.000Z -6160 | 2024-05-10T00:15:00.000Z -6160 | 2024-05-10T00:20:00.000Z +651 | 2024-05-10T00:00:00.000Z +389 | 2024-05-10T00:05:00.000Z +187 | 2024-05-10T00:10:00.000Z +520 | 2024-05-10T00:15:00.000Z +774 | 2024-05-10T00:20:00.000Z ; diff --git a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/lookup-join.csv-spec b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/lookup-join.csv-spec index 1bd826b68ff4e..bf3502b866595 100644 --- a/x-pack/plugin/esql/qa/testFixtures/src/main/resources/lookup-join.csv-spec +++ b/x-pack/plugin/esql/qa/testFixtures/src/main/resources/lookup-join.csv-spec @@ -4742,7 +4742,7 @@ FROM k8s | RENAME network.bytes_in AS language_code | WHERE language_code < 10 | LOOKUP JOIN languages_lookup ON language_code -| DROP network*, event* +| DROP network*, event*, region | SORT language_code, @timestamp ; diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java index cffbd17244d8c..bb4aeab593317 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java @@ -1504,7 +1504,14 @@ public enum Cap { /** * Support for the literal {@code m} suffix as an alias for {@code minute} in temporal amounts. */ - TEMPORAL_AMOUNT_M; + TEMPORAL_AMOUNT_M, + + /** + * Pack dimension values in TS command + */ + PACK_DIMENSIONS_IN_TS + + ; private final boolean enabled; diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/InternalPacks.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/InternalPacks.java new file mode 100644 index 0000000000000..14010cfac299c --- /dev/null +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/InternalPacks.java @@ -0,0 +1,272 @@ +/* + * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one + * or more contributor license agreements. Licensed under the Elastic License + * 2.0; you may not use this file except in compliance with the Elastic License + * 2.0. + */ + +package org.elasticsearch.xpack.esql.expression.function.scalar.internal; + +import org.apache.lucene.util.BytesRef; +import org.elasticsearch.compute.data.BooleanBlock; +import org.elasticsearch.compute.data.BytesRefBlock; +import org.elasticsearch.compute.data.BytesRefVector; +import org.elasticsearch.compute.data.IntBlock; +import org.elasticsearch.compute.data.LongBlock; +import org.elasticsearch.compute.data.OrdinalBytesRefVector; +import org.elasticsearch.compute.operator.BreakingBytesRefBuilder; +import org.elasticsearch.compute.operator.DriverContext; +import org.elasticsearch.compute.operator.topn.TopNEncoder; + +final class InternalPacks { + private static final TopNEncoder ENCODER = TopNEncoder.DEFAULT_UNSORTABLE; + public static final int INITIAL_SIZE_IN_BYTES = 6 * 1024; + + static int estimateForBytesBuilder(int positionCount) { + // allocate at least one page for the bytes block builder to avoid copying during resizing + return Math.max(INITIAL_SIZE_IN_BYTES, positionCount); + } + + static BytesRefBlock packBytesValues(DriverContext driverContext, BytesRefBlock raw) { + BytesRefVector vector = raw.asVector(); + if (vector != null) { + OrdinalBytesRefVector ordinals = vector.asOrdinals(); + if (ordinals != null) { + var encoded = packBytesVector(driverContext, ordinals.getDictionaryVector()); + ordinals.getOrdinalsVector().incRef(); + return new OrdinalBytesRefVector(ordinals.getOrdinalsVector(), encoded).asBlock(); + } else { + return packBytesVector(driverContext, vector).asBlock(); + } + } + int positionCount = raw.getPositionCount(); + try ( + var builder = driverContext.blockFactory().newBytesRefBlockBuilder(estimateForBytesBuilder(positionCount)); + var work = new BreakingBytesRefBuilder(driverContext.breaker(), "pack_dimensions", 1024) + ) { + BytesRef scratch = new BytesRef(); + for (int p = 0; p < positionCount; p++) { + int valueCount = raw.getValueCount(p); + if (valueCount == 0) { + builder.appendNull(); + continue; + } + work.clear(); + int first = raw.getFirstValueIndex(p); + int end = first + valueCount; + for (int i = first; i < end; i++) { + raw.getBytesRef(i, scratch); + ENCODER.encodeBytesRef(scratch, work); + } + builder.appendBytesRef(work.bytesRefView()); + } + return builder.build(); + } + } + + static BytesRefVector packBytesVector(DriverContext driverContext, BytesRefVector encode) { + int positionCount = encode.getPositionCount(); + try ( + var builder = driverContext.blockFactory().newBytesRefVectorBuilder(estimateForBytesBuilder(positionCount)); + var work = new BreakingBytesRefBuilder(driverContext.breaker(), "pack_values", 1024) + ) { + BytesRef scratch = new BytesRef(); + for (int p = 0; p < positionCount; p++) { + ENCODER.encodeBytesRef(encode.getBytesRef(p, scratch), work); + builder.appendBytesRef(work.bytesRefView()); + work.clear(); + } + return builder.build(); + } + } + + static BytesRefBlock unpackBytesValues(DriverContext driverContext, BytesRefBlock encoded) { + int positionCount = encoded.getPositionCount(); + try (var builder = driverContext.blockFactory().newBytesRefBlockBuilder(estimateForBytesBuilder(positionCount));) { + BytesRef inScratch = new BytesRef(); + BytesRef outScratch = new BytesRef(); + for (int p = 0; p < positionCount; p++) { + if (encoded.isNull(p)) { + builder.appendNull(); + continue; + } + BytesRef row = encoded.getBytesRef(p, inScratch); + var v = ENCODER.decodeBytesRef(row, outScratch); + if (row.length == 0) { + builder.appendBytesRef(v); + } else { + builder.beginPositionEntry(); + builder.appendBytesRef(v); + while (row.length > 0) { + v = ENCODER.decodeBytesRef(row, outScratch); + builder.appendBytesRef(v); + } + builder.endPositionEntry(); + } + } + return builder.build(); + } + } + + static BytesRefBlock packLongValues(DriverContext driverContext, LongBlock raw) { + int positionCount = raw.getPositionCount(); + try ( + var builder = driverContext.blockFactory().newBytesRefBlockBuilder(estimateForBytesBuilder(positionCount)); + var work = new BreakingBytesRefBuilder(driverContext.breaker(), "pack_values", 32) + ) { + for (int p = 0; p < positionCount; p++) { + int valueCount = raw.getValueCount(p); + if (valueCount == 0) { + builder.appendNull(); + continue; + } + work.clear(); + int first = raw.getFirstValueIndex(p); + if (valueCount == 1) { + ENCODER.encodeLong(raw.getLong(first), work); + } else { + int end = first + valueCount; + for (int i = first; i < end; i++) { + ENCODER.encodeLong(raw.getLong(i), work); + } + } + builder.appendBytesRef(work.bytesRefView()); + } + return builder.build(); + } + } + + static LongBlock unpackLongValues(DriverContext driverContext, BytesRefBlock encoded) { + int positionCount = encoded.getPositionCount(); + try (var builder = driverContext.blockFactory().newLongBlockBuilder(positionCount)) { + BytesRef inScratch = new BytesRef(); + for (int p = 0; p < positionCount; p++) { + if (encoded.isNull(p)) { + builder.appendNull(); + continue; + } + BytesRef row = encoded.getBytesRef(p, inScratch); + var v = ENCODER.decodeLong(row); + if (row.length == 0) { + builder.appendLong(v); + } else { + builder.beginPositionEntry(); + builder.appendLong(v); + while (row.length > 0) { + builder.appendLong(ENCODER.decodeLong(row)); + } + builder.endPositionEntry(); + } + } + return builder.build(); + } + } + + static BytesRefBlock packIntValues(DriverContext driverContext, IntBlock raw) { + int positionCount = raw.getPositionCount(); + try ( + var builder = driverContext.blockFactory().newBytesRefBlockBuilder(estimateForBytesBuilder(positionCount)); + var work = new BreakingBytesRefBuilder(driverContext.breaker(), "pack_values", 32) + ) { + for (int p = 0; p < positionCount; p++) { + int valueCount = raw.getValueCount(p); + if (valueCount == 0) { + builder.appendNull(); + continue; + } + work.clear(); + int first = raw.getFirstValueIndex(p); + if (valueCount == 1) { + ENCODER.encodeInt(raw.getInt(first), work); + } else { + int end = first + valueCount; + for (int i = first; i < end; i++) { + ENCODER.encodeInt(raw.getInt(i), work); + } + } + builder.appendBytesRef(work.bytesRefView()); + } + return builder.build(); + } + } + + static IntBlock unpackIntValues(DriverContext driverContext, BytesRefBlock encoded) { + int positionCount = encoded.getPositionCount(); + try (IntBlock.Builder builder = driverContext.blockFactory().newIntBlockBuilder(positionCount)) { + BytesRef inScratch = new BytesRef(); + for (int p = 0; p < positionCount; p++) { + if (encoded.isNull(p)) { + builder.appendNull(); + continue; + } + BytesRef row = encoded.getBytesRef(p, inScratch); + int v = ENCODER.decodeInt(row); + if (row.length == 0) { + builder.appendInt(v); + } else { + builder.beginPositionEntry(); + builder.appendInt(v); + while (row.length > 0) { + builder.appendInt(ENCODER.decodeInt(row)); + } + builder.endPositionEntry(); + } + } + return builder.build(); + } + } + + static BytesRefBlock packBooleanValues(DriverContext driverContext, BooleanBlock raw) { + int positionCount = raw.getPositionCount(); + try ( + var builder = driverContext.blockFactory().newBytesRefBlockBuilder(positionCount); + var work = new BreakingBytesRefBuilder(driverContext.breaker(), "pack_values", 32) + ) { + for (int p = 0; p < positionCount; p++) { + work.clear(); + int valueCount = raw.getValueCount(p); + if (valueCount == 0) { + builder.appendNull(); + continue; + } + int first = raw.getFirstValueIndex(p); + if (valueCount == 1) { + ENCODER.encodeBoolean(raw.getBoolean(first), work); + } else { + int end = first + valueCount; + for (int i = first; i < end; i++) { + ENCODER.encodeBoolean(raw.getBoolean(i), work); + } + } + builder.appendBytesRef(work.bytesRefView()); + } + return builder.build(); + } + } + + static BooleanBlock unpackBooleanValues(DriverContext driverContext, BytesRefBlock encoded) { + int positionCount = encoded.getPositionCount(); + try (var builder = driverContext.blockFactory().newBooleanBlockBuilder(positionCount)) { + BytesRef inScratch = new BytesRef(); + for (int p = 0; p < positionCount; p++) { + if (encoded.isNull(p)) { + builder.appendNull(); + continue; + } + BytesRef row = encoded.getBytesRef(p, inScratch); + boolean v = ENCODER.decodeBoolean(row); + if (row.length == 0) { + builder.appendBoolean(v); + } else { + builder.beginPositionEntry(); + builder.appendBoolean(v); + while (row.length > 0) { + builder.appendBoolean(ENCODER.decodeBoolean(row)); + } + builder.endPositionEntry(); + } + } + return builder.build(); + } + } +} diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/PackDimension.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/PackDimension.java new file mode 100644 index 0000000000000..424b09130d6a6 --- /dev/null +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/PackDimension.java @@ -0,0 +1,121 @@ +/* + * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one + * or more contributor license agreements. Licensed under the Elastic License + * 2.0; you may not use this file except in compliance with the Elastic License + * 2.0. + */ + +package org.elasticsearch.xpack.esql.expression.function.scalar.internal; + +import org.apache.lucene.util.RamUsageEstimator; +import org.elasticsearch.compute.data.Block; +import org.elasticsearch.compute.data.BooleanBlock; +import org.elasticsearch.compute.data.BytesRefBlock; +import org.elasticsearch.compute.data.ElementType; +import org.elasticsearch.compute.data.IntBlock; +import org.elasticsearch.compute.data.LongBlock; +import org.elasticsearch.compute.data.Page; +import org.elasticsearch.compute.operator.EvalOperator; +import org.elasticsearch.core.Releasables; +import org.elasticsearch.xpack.esql.core.expression.Expression; +import org.elasticsearch.xpack.esql.core.expression.TypeResolutions; +import org.elasticsearch.xpack.esql.core.tree.NodeInfo; +import org.elasticsearch.xpack.esql.core.tree.Source; +import org.elasticsearch.xpack.esql.core.type.DataType; +import org.elasticsearch.xpack.esql.expression.function.scalar.UnaryScalarFunction; +import org.elasticsearch.xpack.esql.planner.PlannerUtils; + +import java.util.List; +import java.util.function.Function; + +import static org.elasticsearch.xpack.esql.core.expression.TypeResolutions.ParamOrdinal.DEFAULT; +import static org.elasticsearch.xpack.esql.core.type.DataType.SOURCE; + +/** + * An internal convert function that packs dimension values into a single BytesRef + */ +public class PackDimension extends UnaryScalarFunction { + public PackDimension(Source source, Expression field) { + super(source, field); + } + + @Override + protected TypeResolution resolveType() { + return TypeResolutions.isRepresentableExceptCountersDenseVectorAndAggregateMetricDouble(field(), sourceText(), DEFAULT); + } + + @Override + public String getWriteableName() { + throw new UnsupportedOperationException("PackDimension must be used on the coordinator only"); + } + + @Override + public DataType dataType() { + return SOURCE; + } + + @Override + public Expression replaceChildren(List newChildren) { + return new PackDimension(source(), newChildren.get(0)); + } + + @Override + protected NodeInfo info() { + return NodeInfo.create(this, PackDimension::new, field()); + } + + @Override + public EvalOperator.ExpressionEvaluator.Factory toEvaluator(ToEvaluator toEvaluator) { + ElementType elementType = PlannerUtils.toElementType(field.dataType()); + return switch (elementType) { + case NULL -> EvalOperator.CONSTANT_NULL_FACTORY; + case BYTES_REF -> ctx -> new PackValuesEvaluator( + toEvaluator.apply(field).get(ctx), + block -> InternalPacks.packBytesValues(ctx, (BytesRefBlock) block) + ); + case LONG -> ctx -> new PackValuesEvaluator( + toEvaluator.apply(field).get(ctx), + block -> InternalPacks.packLongValues(ctx, (LongBlock) block) + ); + case INT -> ctx -> new PackValuesEvaluator( + toEvaluator.apply(field).get(ctx), + block -> InternalPacks.packIntValues(ctx, (IntBlock) block) + ); + case BOOLEAN -> ctx -> new PackValuesEvaluator( + toEvaluator.apply(field).get(ctx), + block -> InternalPacks.packBooleanValues(ctx, (BooleanBlock) block) + ); + default -> throw new IllegalStateException("unsupported element type [" + field.dataType() + "]"); + }; + } + + record PackValuesEvaluator(EvalOperator.ExpressionEvaluator field, Function pack) + implements + EvalOperator.ExpressionEvaluator { + static final long BASE_RAM_BYTES_USED = RamUsageEstimator.shallowSizeOfInstance(PackValuesEvaluator.class); + + @Override + public BytesRefBlock eval(Page page) { + try (var fieldVal = field.eval(page)) { + BytesRefBlock result = pack.apply(fieldVal); + assert result.doesHaveMultivaluedFields() == false : "packed block must not have multi-valued"; + return result; + } + } + + @Override + public String toString() { + return "PackDimension[field=" + field + "]"; + } + + @Override + public long baseRamBytesUsed() { + return BASE_RAM_BYTES_USED + field.baseRamBytesUsed(); + } + + @Override + public void close() { + Releasables.close(field); + } + } +} diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/UnpackDimension.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/UnpackDimension.java new file mode 100644 index 0000000000000..a97c4265fccf3 --- /dev/null +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/UnpackDimension.java @@ -0,0 +1,114 @@ +/* + * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one + * or more contributor license agreements. Licensed under the Elastic License + * 2.0; you may not use this file except in compliance with the Elastic License + * 2.0. + */ + +package org.elasticsearch.xpack.esql.expression.function.scalar.internal; + +import org.apache.lucene.util.RamUsageEstimator; +import org.elasticsearch.compute.data.Block; +import org.elasticsearch.compute.data.BytesRefBlock; +import org.elasticsearch.compute.data.Page; +import org.elasticsearch.compute.operator.EvalOperator; +import org.elasticsearch.core.Releasables; +import org.elasticsearch.xpack.esql.core.expression.Expression; +import org.elasticsearch.xpack.esql.core.tree.NodeInfo; +import org.elasticsearch.xpack.esql.core.tree.Source; +import org.elasticsearch.xpack.esql.core.type.DataType; +import org.elasticsearch.xpack.esql.expression.function.scalar.UnaryScalarFunction; +import org.elasticsearch.xpack.esql.planner.PlannerUtils; + +import java.util.List; +import java.util.function.Function; + +/** + * An internal convert function that unpacks dimension values were packed by {@link PackDimension} + */ +public final class UnpackDimension extends UnaryScalarFunction { + private final DataType resultType; + + public UnpackDimension(Source source, Expression field, DataType resultType) { + super(source, field); + this.resultType = resultType; + } + + @Override + protected TypeResolution resolveType() { + return TypeResolution.TYPE_RESOLVED; + } + + @Override + public String getWriteableName() { + throw new UnsupportedOperationException("UnpackDimension must be used on the coordinator only"); + } + + @Override + public DataType dataType() { + return resultType; + } + + @Override + public Expression replaceChildren(List newChildren) { + return new UnpackDimension(source(), newChildren.getFirst(), resultType); + } + + @Override + protected NodeInfo info() { + return NodeInfo.create(this, UnpackDimension::new, field(), dataType()); + } + + @Override + public EvalOperator.ExpressionEvaluator.Factory toEvaluator(ToEvaluator toEvaluator) { + return switch (PlannerUtils.toElementType(resultType)) { + case NULL -> EvalOperator.CONSTANT_NULL_FACTORY; + case BYTES_REF -> ctx -> new UnpackValuesEvaluator( + toEvaluator.apply(field).get(ctx), + block -> InternalPacks.unpackBytesValues(ctx, block) + ); + case LONG -> ctx -> new UnpackValuesEvaluator( + toEvaluator.apply(field).get(ctx), + block -> InternalPacks.unpackLongValues(ctx, block) + ); + case INT -> ctx -> new UnpackValuesEvaluator( + toEvaluator.apply(field).get(ctx), + block -> InternalPacks.unpackIntValues(ctx, block) + ); + case BOOLEAN -> ctx -> new UnpackValuesEvaluator( + toEvaluator.apply(field).get(ctx), + block -> InternalPacks.unpackBooleanValues(ctx, block) + ); + default -> throw new IllegalStateException("unsupported element type [" + field.dataType() + "]"); + }; + } + + record UnpackValuesEvaluator(EvalOperator.ExpressionEvaluator field, Function unpack) + implements + EvalOperator.ExpressionEvaluator { + static final long BASE_RAM_BYTES_USED = RamUsageEstimator.shallowSizeOfInstance(UnpackValuesEvaluator.class); + + @Override + public Block eval(Page page) { + try (var fieldVal = field.eval(page)) { + assert fieldVal.doesHaveMultivaluedFields() == false : "packed block cannot be multivalued"; + return unpack.apply((BytesRefBlock) fieldVal); + } + } + + @Override + public String toString() { + return "UnpackDimension[field=" + field + "]"; + } + + @Override + public long baseRamBytesUsed() { + return BASE_RAM_BYTES_USED + field.baseRamBytesUsed(); + } + + @Override + public void close() { + Releasables.close(field); + } + } +} diff --git a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/TranslateTimeSeriesAggregate.java b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/TranslateTimeSeriesAggregate.java index d18bc94791691..6229862ae4591 100644 --- a/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/TranslateTimeSeriesAggregate.java +++ b/x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/TranslateTimeSeriesAggregate.java @@ -25,9 +25,13 @@ import org.elasticsearch.xpack.esql.expression.function.aggregate.Values; import org.elasticsearch.xpack.esql.expression.function.grouping.Bucket; import org.elasticsearch.xpack.esql.expression.function.grouping.TBucket; +import org.elasticsearch.xpack.esql.expression.function.scalar.internal.PackDimension; +import org.elasticsearch.xpack.esql.expression.function.scalar.internal.UnpackDimension; import org.elasticsearch.xpack.esql.plan.logical.Aggregate; import org.elasticsearch.xpack.esql.plan.logical.EsRelation; +import org.elasticsearch.xpack.esql.plan.logical.Eval; import org.elasticsearch.xpack.esql.plan.logical.LogicalPlan; +import org.elasticsearch.xpack.esql.plan.logical.Project; import org.elasticsearch.xpack.esql.plan.logical.TimeSeriesAggregate; import java.util.ArrayList; @@ -243,7 +247,9 @@ LogicalPlan translate(TimeSeriesAggregate aggregate) { // time-series aggregates must be grouped by _tsid (and time-bucket) first and re-group by users key List firstPassGroupings = new ArrayList<>(); firstPassGroupings.add(tsid.get()); + List packDimensions = new ArrayList<>(); List secondPassGroupings = new ArrayList<>(); + List unpackDimensions = new ArrayList<>(); Holder timeBucketRef = new Holder<>(); aggregate.child().forEachExpressionUp(NamedExpression.class, e -> { for (Expression child : e.children()) { @@ -262,20 +268,34 @@ LogicalPlan translate(TimeSeriesAggregate aggregate) { } }); NamedExpression timeBucket = timeBucketRef.get(); - for (Expression group : aggregate.groupings()) { + for (var group : aggregate.groupings()) { if (group instanceof Attribute == false) { throw new EsqlIllegalArgumentException("expected named expression for grouping; got " + group); } final Attribute g = (Attribute) group; - final NamedExpression newFinalGroup; if (timeBucket != null && g.id().equals(timeBucket.id())) { - newFinalGroup = timeBucket.toAttribute(); + var newFinalGroup = timeBucket.toAttribute(); firstPassGroupings.add(newFinalGroup); + secondPassGroupings.add(new Alias(g.source(), g.name(), newFinalGroup.toAttribute(), g.id())); } else { - newFinalGroup = new Alias(g.source(), g.name(), new Values(g.source(), g), g.id()); - firstPassAggs.add(newFinalGroup); + var valuesAgg = new Alias(g.source(), g.name(), new Values(g.source(), g)); + firstPassAggs.add(valuesAgg); + Alias pack = new Alias( + g.source(), + internalNames.next("pack" + g.name()), + new PackDimension(g.source(), valuesAgg.toAttribute()) + ); + packDimensions.add(pack); + Alias grouping = new Alias(g.source(), internalNames.next("group" + g.name()), pack.toAttribute()); + secondPassGroupings.add(grouping); + Alias unpack = new Alias( + g.source(), + g.name(), + new UnpackDimension(g.source(), grouping.toAttribute(), g.dataType().noText()), + g.id() + ); + unpackDimensions.add(unpack); } - secondPassGroupings.add(new Alias(g.source(), g.name(), newFinalGroup.toAttribute(), g.id())); } LogicalPlan newChild = aggregate.child().transformUp(EsRelation.class, r -> { IndexMode indexMode = requiredTimeSeriesSource.get() ? r.indexMode() : IndexMode.STANDARD; @@ -298,7 +318,37 @@ LogicalPlan translate(TimeSeriesAggregate aggregate) { mergeExpressions(firstPassAggs, firstPassGroupings), (Bucket) Alias.unwrap(timeBucket) ); - return new Aggregate(firstPhase.source(), firstPhase, secondPassGroupings, mergeExpressions(secondPassAggs, secondPassGroupings)); + if (packDimensions.isEmpty()) { + return new Aggregate( + firstPhase.source(), + firstPhase, + secondPassGroupings, + mergeExpressions(secondPassAggs, secondPassGroupings) + ); + } else { + Eval packValues = new Eval(firstPhase.source(), firstPhase, packDimensions); + Aggregate secondPhase = new Aggregate( + firstPhase.source(), + packValues, + secondPassGroupings, + mergeExpressions(secondPassAggs, secondPassGroupings) + ); + Eval unpackValues = new Eval(secondPhase.source(), secondPhase, unpackDimensions); + List projects = new ArrayList<>(); + for (NamedExpression agg : secondPassAggs) { + projects.add(Expressions.attribute(agg)); + } + int pos = 0; + for (Expression group : secondPassGroupings) { + Attribute g = Expressions.attribute(group); + if (timeBucket != null && g.id().equals(timeBucket.id())) { + projects.add(g); + } else { + projects.add(unpackDimensions.get(pos++).toAttribute()); + } + } + return new Project(newChild.source(), unpackValues, projects); + } } private static List mergeExpressions( diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/InternalPacksTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/InternalPacksTests.java new file mode 100644 index 0000000000000..5c50defb74108 --- /dev/null +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/expression/function/scalar/internal/InternalPacksTests.java @@ -0,0 +1,270 @@ +/* + * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one + * or more contributor license agreements. Licensed under the Elastic License + * 2.0; you may not use this file except in compliance with the Elastic License + * 2.0. + */ + +package org.elasticsearch.xpack.esql.expression.function.scalar.internal; + +import org.apache.lucene.util.BytesRef; +import org.elasticsearch.compute.data.Block; +import org.elasticsearch.compute.data.BlockFactory; +import org.elasticsearch.compute.data.BlockUtils; +import org.elasticsearch.compute.data.BooleanBlock; +import org.elasticsearch.compute.data.BytesRefBlock; +import org.elasticsearch.compute.data.BytesRefVector; +import org.elasticsearch.compute.data.ElementType; +import org.elasticsearch.compute.data.IntBlock; +import org.elasticsearch.compute.data.LongBlock; +import org.elasticsearch.compute.data.OrdinalBytesRefBlock; +import org.elasticsearch.compute.operator.DriverContext; +import org.elasticsearch.compute.test.ComputeTestCase; +import org.elasticsearch.core.Releasables; +import org.elasticsearch.test.ESTestCase; + +import java.util.ArrayList; +import java.util.List; +import java.util.stream.IntStream; + +import static org.hamcrest.Matchers.equalTo; + +public class InternalPacksTests extends ComputeTestCase { + + private static List randomBytesRefs(int count) { + List values = new ArrayList<>(count); + for (int i = 0; i < count; i++) { + values.add(new BytesRef(ESTestCase.randomByteArrayOfLength(between(1, 100)))); + } + return values; + } + + private static Block buildBlock(BlockFactory blockFactory, ElementType elementType, List> rows) { + try (Block.Builder builder = elementType.newBlockBuilder(rows.size(), blockFactory)) { + for (List row : rows) { + if (row.isEmpty()) { + builder.appendNull(); + continue; + } + if (row.size() > 1) { + builder.beginPositionEntry(); + } + for (Object o : row) { + BlockUtils.appendValue(builder, o, elementType); + } + if (row.size() > 1) { + builder.endPositionEntry(); + } + } + return builder.build(); + } + } + + static boolean encodedRowEquals(BytesRefBlock b1, BytesRefBlock b2, int position) { + int count1 = b1.getValueCount(position); + int count2 = b2.getValueCount(position); + if (count1 == 0 && count2 == 0) { + return true; + } + if (count1 != count2) { + return false; + } + assertThat(count1, equalTo(1)); + assertThat(count2, equalTo(1)); + BytesRef v1 = b1.getBytesRef(b1.getFirstValueIndex(position), new BytesRef()); + BytesRef v2 = b2.getBytesRef(b2.getFirstValueIndex(position), new BytesRef()); + return v1.equals(v2); + } + + public void testKeyword() { + BlockFactory blockFactory = blockFactory(); + DriverContext driverContext = new DriverContext(blockFactory.bigArrays(), blockFactory); + int positionCount = between(1, 100); + List> values1 = new ArrayList<>(); + List> values2 = new ArrayList<>(); + for (int i = 0; i < positionCount; i++) { + List v = randomBytesRefs(between(0, 5)); + values1.add(v); + if (randomBoolean()) { + values2.add(v); + } else { + values2.add(randomValueOtherThan(v, () -> randomBytesRefs(between(0, 5)))); + } + } + var block1 = (BytesRefBlock) buildBlock(blockFactory, ElementType.BYTES_REF, values1); + var block2 = (BytesRefBlock) buildBlock(blockFactory, ElementType.BYTES_REF, values2); + var encoded1 = InternalPacks.packBytesValues(driverContext, block1); + var encoded2 = InternalPacks.packBytesValues(driverContext, block2); + var decoded1 = InternalPacks.unpackBytesValues(driverContext, encoded1); + var decoded2 = InternalPacks.unpackBytesValues(driverContext, encoded2); + try { + assertThat(decoded1, equalTo(block1)); + assertThat(decoded2, equalTo(block2)); + for (int p = 0; p < positionCount; p++) { + List v1 = values1.get(p); + List v2 = values2.get(p); + boolean equals = encodedRowEquals(encoded1, encoded2, p); + if (v1.equals(v2)) { + assertTrue(equals); + } else { + assertFalse(equals); + } + } + } finally { + Releasables.close(block1, encoded1, decoded1, block2, encoded2, decoded2); + } + } + + public void testLongs() { + BlockFactory blockFactory = blockFactory(); + DriverContext driverContext = new DriverContext(blockFactory.bigArrays(), blockFactory); + int positionCount = between(1, 100); + List> values1 = new ArrayList<>(); + List> values2 = new ArrayList<>(); + for (int i = 0; i < positionCount; i++) { + List v = randomLongs(between(0, 5)).boxed().toList(); + values1.add(v); + if (randomBoolean()) { + values2.add(v); + } else { + values2.add(randomValueOtherThan(v, () -> randomLongs(between(0, 5)).boxed().toList())); + } + } + var block1 = (LongBlock) buildBlock(blockFactory, ElementType.LONG, values1); + var block2 = (LongBlock) buildBlock(blockFactory, ElementType.LONG, values2); + var encode1 = InternalPacks.packLongValues(driverContext, block1); + var encode2 = InternalPacks.packLongValues(driverContext, block2); + var decoded1 = InternalPacks.unpackLongValues(driverContext, encode1); + var decoded2 = InternalPacks.unpackLongValues(driverContext, encode2); + try { + assertThat(decoded1, equalTo(block1)); + assertThat(decoded2, equalTo(block2)); + for (int p = 0; p < positionCount; p++) { + List v1 = values1.get(p); + List v2 = values2.get(p); + if (v1.equals(v2)) { + assertTrue(encodedRowEquals(encode1, encode2, p)); + } else { + assertFalse(encodedRowEquals(encode1, encode2, p)); + } + } + } finally { + Releasables.close(block1, encode1, decoded1, block2, encode2, decoded2); + } + } + + public void testInts() { + BlockFactory blockFactory = blockFactory(); + DriverContext driverContext = new DriverContext(blockFactory.bigArrays(), blockFactory); + int positionCount = between(1, 100); + List> values1 = new ArrayList<>(); + List> values2 = new ArrayList<>(); + for (int i = 0; i < positionCount; i++) { + List v = randomInts(between(0, 5)).boxed().toList(); + values1.add(v); + if (randomBoolean()) { + values2.add(v); + } else { + values2.add(randomValueOtherThan(v, () -> randomInts(between(0, 5)).boxed().toList())); + } + } + var block1 = (IntBlock) buildBlock(blockFactory, ElementType.INT, values1); + var block2 = (IntBlock) buildBlock(blockFactory, ElementType.INT, values2); + var encode1 = InternalPacks.packIntValues(driverContext, block1); + var encode2 = InternalPacks.packIntValues(driverContext, block2); + var decoded1 = InternalPacks.unpackIntValues(driverContext, encode1); + var decoded2 = InternalPacks.unpackIntValues(driverContext, encode2); + try { + assertThat(decoded1, equalTo(block1)); + assertThat(decoded2, equalTo(block2)); + for (int p = 0; p < positionCount; p++) { + List v1 = values1.get(p); + List v2 = values2.get(p); + if (v1.equals(v2)) { + assertTrue(encodedRowEquals(encode1, encode2, p)); + } else { + assertFalse(encodedRowEquals(encode1, encode2, p)); + } + } + } finally { + Releasables.close(block1, encode1, decoded1, block2, encode2, decoded2); + } + } + + public void testBoolean() { + BlockFactory blockFactory = blockFactory(); + DriverContext driverContext = new DriverContext(blockFactory.bigArrays(), blockFactory); + int positionCount = between(1, 100); + List> values1 = new ArrayList<>(); + List> values2 = new ArrayList<>(); + for (int i = 0; i < positionCount; i++) { + List v = IntStream.of(randomIntBetween(0, 5)).mapToObj(n -> randomBoolean()).toList(); + values1.add(v); + if (randomBoolean()) { + values2.add(v); + } else { + values2.add(randomValueOtherThan(v, () -> IntStream.of(randomIntBetween(0, 5)).mapToObj(n -> randomBoolean()).toList())); + } + } + var block1 = (BooleanBlock) buildBlock(blockFactory, ElementType.BOOLEAN, values1); + var block2 = (BooleanBlock) buildBlock(blockFactory, ElementType.BOOLEAN, values2); + var encode1 = InternalPacks.packBooleanValues(driverContext, block1); + var encode2 = InternalPacks.packBooleanValues(driverContext, block2); + var decoded1 = InternalPacks.unpackBooleanValues(driverContext, encode1); + var decoded2 = InternalPacks.unpackBooleanValues(driverContext, encode2); + try { + assertThat(decoded1, equalTo(block1)); + assertThat(decoded2, equalTo(block2)); + for (int p = 0; p < positionCount; p++) { + List v1 = values1.get(p); + List v2 = values2.get(p); + if (v1.equals(v2)) { + assertTrue(encodedRowEquals(encode1, encode2, p)); + } else { + assertFalse(encodedRowEquals(encode1, encode2, p)); + } + } + } finally { + Releasables.close(block1, encode1, decoded1, block2, encode2, decoded2); + } + } + + public void testOrdinal() { + BlockFactory blockFactory = blockFactory(); + DriverContext driverContext = new DriverContext(blockFactory.bigArrays(), blockFactory); + int dictPosition = between(1, 100); + final BytesRefVector dict; + try (BytesRefVector.Builder builder = blockFactory.newBytesRefVectorBuilder(dictPosition)) { + for (int i = 0; i < dictPosition; i++) { + builder.appendBytesRef(new BytesRef(randomAlphaOfLengthBetween(1, 10))); + } + dict = builder.build(); + } + int positionCount = between(1, 100); + try ( + var builder = blockFactory.newBytesRefBlockBuilder(positionCount); + var ordinals = blockFactory.newIntBlockBuilder(positionCount); + ) { + BytesRef scratch = new BytesRef(); + for (int i = 0; i < positionCount; i++) { + int ordinal = randomIntBetween(0, dictPosition - 1); + builder.appendBytesRef(dict.getBytesRef(ordinal, scratch)); + ordinals.appendInt(ordinal); + } + var block1 = builder.build(); + var block2 = new OrdinalBytesRefBlock(ordinals.build(), dict); + var encoded1 = InternalPacks.packBytesValues(driverContext, block1); + var encoded2 = InternalPacks.packBytesValues(driverContext, block2); + var decoded1 = InternalPacks.unpackBytesValues(driverContext, encoded1); + var decoded2 = InternalPacks.unpackBytesValues(driverContext, encoded2); + try { + assertTrue(BytesRefBlock.equals(block1, block2)); + assertTrue(BytesRefBlock.equals(encoded1, encoded2)); + assertTrue(BytesRefBlock.equals(decoded1, decoded2)); + } finally { + Releasables.close(block1, encoded1, decoded1, block2, encoded2, decoded2); + } + } + + } +} diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/LogicalPlanOptimizerTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/LogicalPlanOptimizerTests.java index ab21c700b41be..dbf6c7b81b766 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/LogicalPlanOptimizerTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/LogicalPlanOptimizerTests.java @@ -64,6 +64,8 @@ import org.elasticsearch.xpack.esql.expression.function.scalar.convert.ToInteger; import org.elasticsearch.xpack.esql.expression.function.scalar.convert.ToLong; import org.elasticsearch.xpack.esql.expression.function.scalar.convert.ToString; +import org.elasticsearch.xpack.esql.expression.function.scalar.internal.PackDimension; +import org.elasticsearch.xpack.esql.expression.function.scalar.internal.UnpackDimension; import org.elasticsearch.xpack.esql.expression.function.scalar.math.Round; import org.elasticsearch.xpack.esql.expression.function.scalar.multivalue.MvAvg; import org.elasticsearch.xpack.esql.expression.function.scalar.multivalue.MvCount; @@ -7489,11 +7491,14 @@ public void testTranslateMixedAggsWithMathWithoutGrouping() { public void testTranslateMetricsGroupedByOneDimension() { var query = "TS k8s | STATS sum(rate(network.total_bytes_in)) BY cluster | SORT cluster | LIMIT 10"; var plan = logicalOptimizer.optimize(metricsAnalyzer.analyze(parser.createStatement(query))); - TopN topN = as(plan, TopN.class); - Aggregate aggsByCluster = as(topN.child(), Aggregate.class); + Project project = as(plan, Project.class); + TopN topN = as(project.child(), TopN.class); + Eval unpack = as(topN.child(), Eval.class); + Aggregate aggsByCluster = as(unpack.child(), Aggregate.class); assertThat(aggsByCluster, not(instanceOf(TimeSeriesAggregate.class))); assertThat(aggsByCluster.aggregates(), hasSize(2)); - TimeSeriesAggregate aggsByTsid = as(aggsByCluster.child(), TimeSeriesAggregate.class); + Eval pack = as(aggsByCluster.child(), Eval.class); + TimeSeriesAggregate aggsByTsid = as(pack.child(), TimeSeriesAggregate.class); assertThat(aggsByTsid.aggregates(), hasSize(2)); // _tsid is dropped assertNull(aggsByTsid.timeBucket()); EsRelation relation = as(aggsByTsid.child(), EsRelation.class); @@ -7502,7 +7507,6 @@ public void testTranslateMetricsGroupedByOneDimension() { Sum sum = as(Alias.unwrap(aggsByCluster.aggregates().get(0)), Sum.class); assertThat(Expressions.attribute(sum.field()).id(), equalTo(aggsByTsid.aggregates().get(0).id())); assertThat(aggsByCluster.groupings(), hasSize(1)); - assertThat(Expressions.attribute(aggsByCluster.groupings().get(0)).id(), equalTo(aggsByTsid.aggregates().get(1).id())); Rate rate = as(Alias.unwrap(aggsByTsid.aggregates().get(0)), Rate.class); assertThat(Expressions.attribute(rate.field()).name(), equalTo("network.total_bytes_in")); @@ -7515,18 +7519,24 @@ public void testTranslateMetricsGroupedByTwoDimension() { var plan = logicalOptimizer.optimize(metricsAnalyzer.analyze(parser.createStatement(query))); Project project = as(plan, Project.class); Eval eval = as(project.child(), Eval.class); - assertThat(eval.fields(), hasSize(1)); + assertThat(eval.fields(), hasSize(3)); Limit limit = as(eval.child(), Limit.class); Aggregate finalAggs = as(limit.child(), Aggregate.class); assertThat(finalAggs, not(instanceOf(TimeSeriesAggregate.class))); assertThat(finalAggs.aggregates(), hasSize(4)); - TimeSeriesAggregate aggsByTsid = as(finalAggs.child(), TimeSeriesAggregate.class); + Eval pack = as(finalAggs.child(), Eval.class); + TimeSeriesAggregate aggsByTsid = as(pack.child(), TimeSeriesAggregate.class); assertThat(aggsByTsid.aggregates(), hasSize(3)); // _tsid is dropped assertNull(aggsByTsid.timeBucket()); EsRelation relation = as(aggsByTsid.child(), EsRelation.class); assertThat(relation.indexMode(), equalTo(IndexMode.TIME_SERIES)); - Div div = as(Alias.unwrap(eval.fields().get(0)), Div.class); + var unpackCluster = as(Alias.unwrap(eval.fields().get(0)), UnpackDimension.class); + assertThat(Expressions.name(unpackCluster), equalTo("cluster")); + var unpackPod = as(Alias.unwrap(eval.fields().get(1)), UnpackDimension.class); + assertThat(Expressions.name(unpackPod), equalTo("pod")); + Div div = as(Alias.unwrap(eval.fields().get(2)), Div.class); + assertThat(Expressions.attribute(div.left()).id(), equalTo(finalAggs.aggregates().get(0).id())); assertThat(Expressions.attribute(div.right()).id(), equalTo(finalAggs.aggregates().get(1).id())); @@ -7534,10 +7544,6 @@ public void testTranslateMetricsGroupedByTwoDimension() { assertThat(Expressions.attribute(sum.field()).id(), equalTo(aggsByTsid.aggregates().get(0).id())); Count count = as(Alias.unwrap(finalAggs.aggregates().get(1)), Count.class); assertThat(Expressions.attribute(count.field()).id(), equalTo(aggsByTsid.aggregates().get(0).id())); - assertThat(finalAggs.groupings(), hasSize(2)); - assertThat(Expressions.attribute(finalAggs.groupings().get(0)).id(), equalTo(aggsByTsid.aggregates().get(1).id())); - assertThat(Expressions.attribute(finalAggs.groupings().get(1)).id(), equalTo(aggsByTsid.aggregates().get(2).id())); - assertThat(finalAggs.groupings(), hasSize(2)); assertThat(aggsByTsid.aggregates(), hasSize(3)); // rates, values(cluster), values(pod) @@ -7588,11 +7594,12 @@ public void testTranslateMetricsGroupedByTimeBucketAndDimensions() { Project project = as(plan, Project.class); TopN topN = as(project.child(), TopN.class); Eval eval = as(topN.child(), Eval.class); - assertThat(eval.fields(), hasSize(1)); - Div div = as(Alias.unwrap(eval.fields().get(0)), Div.class); + assertThat(eval.fields(), hasSize(3)); + Div div = as(Alias.unwrap(eval.fields().get(2)), Div.class); Aggregate finalAgg = as(eval.child(), Aggregate.class); assertThat(finalAgg, not(instanceOf(TimeSeriesAggregate.class))); - TimeSeriesAggregate aggsByTsid = as(finalAgg.child(), TimeSeriesAggregate.class); + Eval packDimensions = as(finalAgg.child(), Eval.class); + TimeSeriesAggregate aggsByTsid = as(packDimensions.child(), TimeSeriesAggregate.class); assertNotNull(aggsByTsid.timeBucket()); assertThat(aggsByTsid.timeBucket().buckets().fold(FoldContext.small()), equalTo(Duration.ofMinutes(5))); Eval bucket = as(aggsByTsid.child(), Eval.class); @@ -7607,15 +7614,12 @@ public void testTranslateMetricsGroupedByTimeBucketAndDimensions() { assertThat(Expressions.attribute(sum.field()).id(), equalTo(aggsByTsid.aggregates().get(0).id())); assertThat(Expressions.attribute(count.field()).id(), equalTo(aggsByTsid.aggregates().get(0).id())); assertThat(finalAgg.groupings(), hasSize(3)); - assertThat(Expressions.attribute(finalAgg.groupings().get(0)).id(), equalTo(aggsByTsid.aggregates().get(1).id())); assertThat(aggsByTsid.aggregates(), hasSize(4)); // rate, values(pod), values(cluster), bucket Rate rate = as(Alias.unwrap(aggsByTsid.aggregates().get(0)), Rate.class); assertThat(Expressions.attribute(rate.field()).name(), equalTo("network.total_bytes_in")); Values podValues = as(Alias.unwrap(aggsByTsid.aggregates().get(1)), Values.class); assertThat(Expressions.attribute(podValues.field()).name(), equalTo("pod")); - Values clusterValues = as(Alias.unwrap(aggsByTsid.aggregates().get(3)), Values.class); - assertThat(Expressions.attribute(clusterValues.field()).name(), equalTo("cluster")); } public void testTranslateSumOfTwoRates() { @@ -7626,11 +7630,18 @@ public void testTranslateSumOfTwoRates() { | LIMIT 10 """; var plan = logicalOptimizer.optimize(metricsAnalyzer.analyze(parser.createStatement(query))); - TopN topN = as(plan, TopN.class); - Aggregate finalAgg = as(topN.child(), Aggregate.class); + Project projection = as(plan, Project.class); + TopN topN = as(projection.child(), TopN.class); + Eval unpack = as(topN.child(), Eval.class); + assertThat(unpack.fields(), hasSize(2)); + var unpack1 = as(Alias.unwrap(unpack.fields().get(0)), UnpackDimension.class); + var unpack2 = as(Alias.unwrap(unpack.fields().get(1)), UnpackDimension.class); + Aggregate finalAgg = as(unpack.child(), Aggregate.class); Eval eval = as(finalAgg.child(), Eval.class); - assertThat(eval.fields(), hasSize(1)); - Add sum = as(Alias.unwrap(eval.fields().get(0)), Add.class); + assertThat(eval.fields(), hasSize(3)); + var pack1 = as(Alias.unwrap(eval.fields().get(0)), PackDimension.class); + var pack2 = as(Alias.unwrap(eval.fields().get(1)), PackDimension.class); + Add sum = as(Alias.unwrap(eval.fields().get(2)), Add.class); assertThat(Expressions.name(sum.left()), equalTo("RATE_$1")); assertThat(Expressions.name(sum.right()), equalTo("RATE_$2")); TimeSeriesAggregate aggsByTsid = as(eval.child(), TimeSeriesAggregate.class); @@ -7649,18 +7660,17 @@ public void testTranslateMixedAggsGroupedByTimeBucketAndDimensions() { Project project = as(plan, Project.class); TopN topN = as(project.child(), TopN.class); Eval eval = as(topN.child(), Eval.class); - assertThat(eval.fields(), hasSize(2)); - Div div = as(Alias.unwrap(eval.fields().get(0)), Div.class); + assertThat(eval.fields(), hasSize(3)); + Div div = as(Alias.unwrap(eval.fields().get(2)), Div.class); Aggregate finalAgg = as(eval.child(), Aggregate.class); assertThat(finalAgg, not(instanceOf(TimeSeriesAggregate.class))); - TimeSeriesAggregate aggsByTsid = as(finalAgg.child(), TimeSeriesAggregate.class); + Eval packDimensions = as(finalAgg.child(), Eval.class); + TimeSeriesAggregate aggsByTsid = as(packDimensions.child(), TimeSeriesAggregate.class); assertNotNull(aggsByTsid.timeBucket()); assertThat(aggsByTsid.timeBucket().buckets().fold(FoldContext.small()), equalTo(Duration.ofMinutes(5))); Eval bucket = as(aggsByTsid.child(), Eval.class); EsRelation relation = as(bucket.child(), EsRelation.class); assertThat(relation.indexMode(), equalTo(IndexMode.TIME_SERIES)); - assertThat(Expressions.attribute(div.left()).id(), equalTo(finalAgg.aggregates().get(0).id())); - assertThat(Expressions.attribute(div.right()).id(), equalTo(finalAgg.aggregates().get(1).id())); assertThat(finalAgg.aggregates(), hasSize(6)); // sum, count, sum, count, bucket, cluster Sum sumRate = as(Alias.unwrap(finalAgg.aggregates().get(0)), Sum.class); @@ -7674,15 +7684,12 @@ public void testTranslateMixedAggsGroupedByTimeBucketAndDimensions() { assertThat(Expressions.attribute(countCost.field()).id(), equalTo(aggsByTsid.aggregates().get(1).id())); assertThat(finalAgg.groupings(), hasSize(2)); - assertThat(Expressions.attribute(finalAgg.groupings().get(0)).id(), equalTo(aggsByTsid.aggregates().get(2).id())); assertThat(aggsByTsid.aggregates(), hasSize(4)); // rate, last_over_time, values(cluster), bucket Rate rate = as(Alias.unwrap(aggsByTsid.aggregates().get(0)), Rate.class); assertThat(Expressions.attribute(rate.field()).name(), equalTo("network.total_bytes_in")); LastOverTime lastSum = as(Alias.unwrap(aggsByTsid.aggregates().get(1)), LastOverTime.class); assertThat(Expressions.attribute(lastSum.field()).name(), equalTo("network.cost")); - Values clusterValues = as(Alias.unwrap(aggsByTsid.aggregates().get(3)), Values.class); - assertThat(Expressions.attribute(clusterValues.field()).name(), equalTo("cluster")); } public void testAdjustMetricsRateBeforeFinalAgg() { @@ -7696,8 +7703,9 @@ public void testAdjustMetricsRateBeforeFinalAgg() { Project project = as(plan, Project.class); TopN topN = as(project.child(), TopN.class); Eval evalDiv = as(topN.child(), Eval.class); - assertThat(evalDiv.fields(), hasSize(1)); - Div div = as(Alias.unwrap(evalDiv.fields().get(0)), Div.class); + assertThat(evalDiv.fields(), hasSize(2)); + as(Alias.unwrap(evalDiv.fields().get(0)), UnpackDimension.class); + Div div = as(Alias.unwrap(evalDiv.fields().get(1)), Div.class); Aggregate finalAgg = as(evalDiv.child(), Aggregate.class); assertThat(finalAgg, not(instanceOf(TimeSeriesAggregate.class))); @@ -7705,7 +7713,7 @@ public void testAdjustMetricsRateBeforeFinalAgg() { assertThat(finalAgg.groupings(), hasSize(2)); Eval evalRound = as(finalAgg.child(), Eval.class); - Round round = as(Alias.unwrap(evalRound.fields().get(0)), Round.class); + Round round = as(Alias.unwrap(evalRound.fields().get(1)), Round.class); Mul mul = as(round.field(), Mul.class); TimeSeriesAggregate aggsByTsid = as(evalRound.child(), TimeSeriesAggregate.class); @@ -7725,14 +7733,11 @@ public void testAdjustMetricsRateBeforeFinalAgg() { Sum sum = as(Alias.unwrap(finalAgg.aggregates().get(0)), Sum.class); Count count = as(Alias.unwrap(finalAgg.aggregates().get(1)), Count.class); - assertThat(Expressions.attribute(sum.field()).id(), equalTo(evalRound.fields().get(0).id())); - assertThat(Expressions.attribute(count.field()).id(), equalTo(evalRound.fields().get(0).id())); assertThat( Expressions.attribute(finalAgg.groupings().get(0)).id(), equalTo(Expressions.attribute(aggsByTsid.groupings().get(1)).id()) ); - assertThat(Expressions.attribute(finalAgg.groupings().get(1)).id(), equalTo(aggsByTsid.aggregates().get(1).id())); assertThat(Expressions.attribute(mul.left()).id(), equalTo(aggsByTsid.aggregates().get(0).id())); assertThat(mul.right().fold(FoldContext.small()), equalTo(1.05)); diff --git a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/local/IgnoreNullMetricsTests.java b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/local/IgnoreNullMetricsTests.java index 8a37f0b692ca2..24045e888ab05 100644 --- a/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/local/IgnoreNullMetricsTests.java +++ b/x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/optimizer/rules/logical/local/IgnoreNullMetricsTests.java @@ -14,11 +14,14 @@ import org.elasticsearch.xpack.esql.analysis.AnalyzerContext; import org.elasticsearch.xpack.esql.analysis.AnalyzerTestUtils; import org.elasticsearch.xpack.esql.analysis.EnrichResolution; +import org.elasticsearch.xpack.esql.core.expression.Alias; import org.elasticsearch.xpack.esql.core.expression.FieldAttribute; import org.elasticsearch.xpack.esql.core.expression.FoldContext; import org.elasticsearch.xpack.esql.core.type.DataType; import org.elasticsearch.xpack.esql.core.type.EsField; import org.elasticsearch.xpack.esql.expression.function.EsqlFunctionRegistry; +import org.elasticsearch.xpack.esql.expression.function.scalar.internal.PackDimension; +import org.elasticsearch.xpack.esql.expression.function.scalar.internal.UnpackDimension; import org.elasticsearch.xpack.esql.expression.predicate.logical.Or; import org.elasticsearch.xpack.esql.expression.predicate.nulls.IsNotNull; import org.elasticsearch.xpack.esql.index.EsIndex; @@ -34,6 +37,7 @@ import org.elasticsearch.xpack.esql.plan.logical.Filter; import org.elasticsearch.xpack.esql.plan.logical.Limit; import org.elasticsearch.xpack.esql.plan.logical.LogicalPlan; +import org.elasticsearch.xpack.esql.plan.logical.Project; import org.elasticsearch.xpack.esql.stats.SearchStats; import org.junit.BeforeClass; @@ -45,6 +49,8 @@ import static org.elasticsearch.xpack.esql.EsqlTestUtils.emptyInferenceResolution; import static org.elasticsearch.xpack.esql.EsqlTestUtils.unboundLogicalOptimizerContext; import static org.elasticsearch.xpack.esql.analysis.AnalyzerTestUtils.defaultLookupResolution; +import static org.hamcrest.Matchers.hasSize; +import static org.hamcrest.Matchers.instanceOf; /** * Tests for the {@link IgnoreNullMetrics} transformation rule. Like most rule tests, this runs the entire analysis chain. @@ -150,10 +156,17 @@ public void testDimensionsAreNotFiltered() { | STATS max(max_over_time(metric_1)) BY dimension_1 | LIMIT 10 """); - Limit limit = as(actual, Limit.class); + Project project = as(actual, Project.class); + Eval unpack = as(project.child(), Eval.class); + assertThat(unpack.fields(), hasSize(1)); + assertThat(Alias.unwrap(unpack.fields().get(0)), instanceOf(UnpackDimension.class)); + Limit limit = as(unpack.child(), Limit.class); Aggregate agg = as(limit.child(), Aggregate.class); + Eval pack = as(agg.child(), Eval.class); + assertThat(pack.fields(), hasSize(1)); + assertThat(Alias.unwrap(pack.fields().get(0)), instanceOf(PackDimension.class)); // The optimizer expands the STATS out into two STATS steps - Aggregate tsAgg = as(agg.child(), Aggregate.class); + Aggregate tsAgg = as(pack.child(), Aggregate.class); Filter filter = as(tsAgg.child(), Filter.class); IsNotNull condition = as(filter.condition(), IsNotNull.class); FieldAttribute attribute = as(condition.field(), FieldAttribute.class);