johanl-db commented on code in PR #55508: URL: https://github.com/apache/spark/pull/55508#discussion_r3131260767
########## sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveChangelogTable.scala: ########## @@ -0,0 +1,315 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.analysis + +import org.apache.spark.sql.catalyst.expressions._ +import org.apache.spark.sql.catalyst.expressions.aggregate.{Count, Max, Min} +import org.apache.spark.sql.catalyst.plans.logical._ +import org.apache.spark.sql.catalyst.rules.Rule +import org.apache.spark.sql.catalyst.streaming.StreamingRelationV2 +import org.apache.spark.sql.catalyst.trees.TreeNodeTag +import org.apache.spark.sql.connector.catalog.{Changelog, ChangelogInfo} +import org.apache.spark.sql.errors.QueryCompilationErrors +import org.apache.spark.sql.execution.datasources.v2.{ChangelogTable, DataSourceV2Relation} +import org.apache.spark.sql.types.{IntegerType, StringType} + +/** + * Post-processes a resolved [[ChangelogTable]] read to apply CDC option semantics + * (carry-over removal, update detection) and to enforce supported option combinations. + * + * Fires after [[ResolveRelations]] has wrapped the connector's [[Changelog]] in a + * [[ChangelogTable]]. Both batch ([[DataSourceV2Relation]]) and streaming + * ([[StreamingRelationV2]]) reads are handled: + * - Batch: the requested post-processing passes are injected as logical operators on top + * of the relation. Carry-over removal and update detection are fused into a single + * pass over a (rowId, _commit_version)-partitioned Window: the Filter drops CoW + * carry-over pairs (same rowVersion on both sides) and the subsequent Project relabels + * real delete+insert pairs as update_preimage / update_postimage. + * - Streaming: post-processing is not yet supported. If the requested options would + * require any post-processing, the rule throws an explicit [[AnalysisException]] to + * prevent silent wrong results. Streams that don't require post-processing pass + * through unchanged. + * + * Net change computation (`deduplicationMode = netChanges`) is not yet implemented and + * is rejected up-front for both batch and streaming. + */ +object ResolveChangelogTable extends Rule[LogicalPlan] { + + private val CHANGELOG_TRANSFORMED_TAG = + TreeNodeTag[Boolean]("changelog_transformed") + + private object HelperColumn { + final val DelCnt = "_del_cnt" + final val InsCnt = "_ins_cnt" + final val MinRv = "_min_rv" + final val MaxRv = "_max_rv" + + val all: Set[String] = Set(DelCnt, InsCnt, MinRv, MaxRv) + } + + override def apply(plan: LogicalPlan): LogicalPlan = { + if (isAlreadyTransformed(plan)) return plan + var updatedPlan = plan + updatedPlan = plan.resolveOperatorsUp { + case rel @ DataSourceV2Relation(table: ChangelogTable, _, _, _, _, _) => + val changelog = table.changelog + val req = evaluateRequirements(changelog, table.changelogInfo) + + var updatedRel: LogicalPlan = rel + if (req.requiresCarryOverRemoval || req.requiresUpdateDetection) { + updatedRel = addRowLevelPostProcessing( + rel, changelog, req.requiresCarryOverRemoval, req.requiresUpdateDetection) + } + if (req.requiresNetChanges) { + updatedRel = injectNetChangeComputation(updatedRel, changelog) + } + updatedRel + + case rel @ StreamingRelationV2(_, _, table: ChangelogTable, _, _, _, _, _, _) => + // Streaming CDC reads do not yet apply post-processing. Run the same option / + // capability validation as the batch path so silent wrong results are impossible: + // either no post-processing would be required (fall through, return raw stream), + // or we throw an explicit AnalysisException. + val changelog = table.changelog + val req = evaluateRequirements(changelog, table.changelogInfo) + if (req.needsAny) { + throw QueryCompilationErrors.cdcStreamingPostProcessingNotSupported(changelog.name()) + } + rel + } + if (updatedPlan ne plan) { + updatedPlan.setTagValue(CHANGELOG_TRANSFORMED_TAG, true) + } + updatedPlan + } + + // --------------------------------------------------------------------------- + // Option validation & Requirement Computation + // --------------------------------------------------------------------------- + + /** + * Captures which post-processing passes a CDC query requires, derived from the + * user-provided [[ChangelogInfo]] options and the connector-declared [[Changelog]] + * capability flags. + */ + private case class PostProcessingRequirements( + requiresCarryOverRemoval: Boolean, + requiresUpdateDetection: Boolean, + requiresNetChanges: Boolean) { + def needsAny: Boolean = + requiresCarryOverRemoval || requiresUpdateDetection || requiresNetChanges + } + + /** + * Validates CDC option/capability combinations and computes which post-processing + * passes are required. Throws an [[org.apache.spark.sql.AnalysisException]] for + * unsupported or contradictory combinations (currently: `netChanges` deduplication, + * and `computeUpdates` with surfaced carry-overs but no carry-over removal). + */ + private def evaluateRequirements( + changelog: Changelog, + options: ChangelogInfo): PostProcessingRequirements = { + // Net change computation is not yet implemented. + if (options.deduplicationMode() == ChangelogInfo.DeduplicationMode.NET_CHANGES) { + throw QueryCompilationErrors.cdcNetChangesNotYetSupported(changelog.name()) + } + + val requiresCarryOverRemoval = + options.deduplicationMode() != ChangelogInfo.DeduplicationMode.NONE && + changelog.containsCarryoverRows() + val requiresUpdateDetection = + options.computeUpdates() && changelog.representsUpdateAsDeleteAndInsert() + val requiresNetChanges = + options.deduplicationMode() == ChangelogInfo.DeduplicationMode.NET_CHANGES && + changelog.containsIntermediateChanges() + + // If carry-overs are surfaced and update detection is enabled without carry-over + // removal, carry-overs would be falsely classified as updates, leading to wrong + // results. Hence we throw. + if (requiresUpdateDetection && + changelog.containsCarryoverRows() && + options.deduplicationMode() == ChangelogInfo.DeduplicationMode.NONE) { + throw QueryCompilationErrors.cdcUpdateDetectionRequiresCarryOverRemoval( + changelog.name()) + } + + PostProcessingRequirements( + requiresCarryOverRemoval, requiresUpdateDetection, requiresNetChanges) + } + + // --------------------------------------------------------------------------- + // Row Level Post Processing (Update Detection & Carry-over Removal) + // --------------------------------------------------------------------------- + + /** + * Adds row-level post-processing (carry-over removal and/or update detection) on top of + * the given plan: + * - both active -> Window(counts + rv bounds) -> Filter -> Project(relabel) -> Drop helpers Review Comment: Can you clarify what counts and rv bounds are in the comment ########## sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveChangelogTable.scala: ########## @@ -0,0 +1,315 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.analysis + +import org.apache.spark.sql.catalyst.expressions._ +import org.apache.spark.sql.catalyst.expressions.aggregate.{Count, Max, Min} +import org.apache.spark.sql.catalyst.plans.logical._ +import org.apache.spark.sql.catalyst.rules.Rule +import org.apache.spark.sql.catalyst.streaming.StreamingRelationV2 +import org.apache.spark.sql.catalyst.trees.TreeNodeTag +import org.apache.spark.sql.connector.catalog.{Changelog, ChangelogInfo} +import org.apache.spark.sql.errors.QueryCompilationErrors +import org.apache.spark.sql.execution.datasources.v2.{ChangelogTable, DataSourceV2Relation} +import org.apache.spark.sql.types.{IntegerType, StringType} + +/** + * Post-processes a resolved [[ChangelogTable]] read to apply CDC option semantics + * (carry-over removal, update detection) and to enforce supported option combinations. + * + * Fires after [[ResolveRelations]] has wrapped the connector's [[Changelog]] in a + * [[ChangelogTable]]. Both batch ([[DataSourceV2Relation]]) and streaming + * ([[StreamingRelationV2]]) reads are handled: + * - Batch: the requested post-processing passes are injected as logical operators on top + * of the relation. Carry-over removal and update detection are fused into a single + * pass over a (rowId, _commit_version)-partitioned Window: the Filter drops CoW + * carry-over pairs (same rowVersion on both sides) and the subsequent Project relabels + * real delete+insert pairs as update_preimage / update_postimage. + * - Streaming: post-processing is not yet supported. If the requested options would + * require any post-processing, the rule throws an explicit [[AnalysisException]] to + * prevent silent wrong results. Streams that don't require post-processing pass + * through unchanged. + * + * Net change computation (`deduplicationMode = netChanges`) is not yet implemented and + * is rejected up-front for both batch and streaming. + */ +object ResolveChangelogTable extends Rule[LogicalPlan] { + + private val CHANGELOG_TRANSFORMED_TAG = + TreeNodeTag[Boolean]("changelog_transformed") + + private object HelperColumn { + final val DelCnt = "_del_cnt" + final val InsCnt = "_ins_cnt" + final val MinRv = "_min_rv" + final val MaxRv = "_max_rv" + + val all: Set[String] = Set(DelCnt, InsCnt, MinRv, MaxRv) + } + + override def apply(plan: LogicalPlan): LogicalPlan = { + if (isAlreadyTransformed(plan)) return plan + var updatedPlan = plan Review Comment: ```suggestion val updatedPlan = plan ``` ########## sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveChangelogTable.scala: ########## @@ -0,0 +1,315 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.catalyst.analysis + +import org.apache.spark.sql.catalyst.expressions._ +import org.apache.spark.sql.catalyst.expressions.aggregate.{Count, Max, Min} +import org.apache.spark.sql.catalyst.plans.logical._ +import org.apache.spark.sql.catalyst.rules.Rule +import org.apache.spark.sql.catalyst.streaming.StreamingRelationV2 +import org.apache.spark.sql.catalyst.trees.TreeNodeTag +import org.apache.spark.sql.connector.catalog.{Changelog, ChangelogInfo} +import org.apache.spark.sql.errors.QueryCompilationErrors +import org.apache.spark.sql.execution.datasources.v2.{ChangelogTable, DataSourceV2Relation} +import org.apache.spark.sql.types.{IntegerType, StringType} + +/** + * Post-processes a resolved [[ChangelogTable]] read to apply CDC option semantics + * (carry-over removal, update detection) and to enforce supported option combinations. + * + * Fires after [[ResolveRelations]] has wrapped the connector's [[Changelog]] in a + * [[ChangelogTable]]. Both batch ([[DataSourceV2Relation]]) and streaming + * ([[StreamingRelationV2]]) reads are handled: + * - Batch: the requested post-processing passes are injected as logical operators on top + * of the relation. Carry-over removal and update detection are fused into a single + * pass over a (rowId, _commit_version)-partitioned Window: the Filter drops CoW + * carry-over pairs (same rowVersion on both sides) and the subsequent Project relabels + * real delete+insert pairs as update_preimage / update_postimage. + * - Streaming: post-processing is not yet supported. If the requested options would + * require any post-processing, the rule throws an explicit [[AnalysisException]] to + * prevent silent wrong results. Streams that don't require post-processing pass + * through unchanged. + * + * Net change computation (`deduplicationMode = netChanges`) is not yet implemented and + * is rejected up-front for both batch and streaming. + */ +object ResolveChangelogTable extends Rule[LogicalPlan] { + + private val CHANGELOG_TRANSFORMED_TAG = + TreeNodeTag[Boolean]("changelog_transformed") + + private object HelperColumn { + final val DelCnt = "_del_cnt" + final val InsCnt = "_ins_cnt" + final val MinRv = "_min_rv" + final val MaxRv = "_max_rv" + + val all: Set[String] = Set(DelCnt, InsCnt, MinRv, MaxRv) + } + + override def apply(plan: LogicalPlan): LogicalPlan = { + if (isAlreadyTransformed(plan)) return plan + var updatedPlan = plan + updatedPlan = plan.resolveOperatorsUp { + case rel @ DataSourceV2Relation(table: ChangelogTable, _, _, _, _, _) => + val changelog = table.changelog + val req = evaluateRequirements(changelog, table.changelogInfo) + + var updatedRel: LogicalPlan = rel + if (req.requiresCarryOverRemoval || req.requiresUpdateDetection) { + updatedRel = addRowLevelPostProcessing( + rel, changelog, req.requiresCarryOverRemoval, req.requiresUpdateDetection) + } + if (req.requiresNetChanges) { + updatedRel = injectNetChangeComputation(updatedRel, changelog) + } + updatedRel + + case rel @ StreamingRelationV2(_, _, table: ChangelogTable, _, _, _, _, _, _) => + // Streaming CDC reads do not yet apply post-processing. Run the same option / + // capability validation as the batch path so silent wrong results are impossible: + // either no post-processing would be required (fall through, return raw stream), + // or we throw an explicit AnalysisException. + val changelog = table.changelog + val req = evaluateRequirements(changelog, table.changelogInfo) + if (req.needsAny) { + throw QueryCompilationErrors.cdcStreamingPostProcessingNotSupported(changelog.name()) + } + rel + } + if (updatedPlan ne plan) { + updatedPlan.setTagValue(CHANGELOG_TRANSFORMED_TAG, true) + } + updatedPlan + } + + // --------------------------------------------------------------------------- + // Option validation & Requirement Computation + // --------------------------------------------------------------------------- + + /** + * Captures which post-processing passes a CDC query requires, derived from the + * user-provided [[ChangelogInfo]] options and the connector-declared [[Changelog]] + * capability flags. + */ + private case class PostProcessingRequirements( + requiresCarryOverRemoval: Boolean, + requiresUpdateDetection: Boolean, + requiresNetChanges: Boolean) { + def needsAny: Boolean = + requiresCarryOverRemoval || requiresUpdateDetection || requiresNetChanges + } + + /** + * Validates CDC option/capability combinations and computes which post-processing + * passes are required. Throws an [[org.apache.spark.sql.AnalysisException]] for + * unsupported or contradictory combinations (currently: `netChanges` deduplication, + * and `computeUpdates` with surfaced carry-overs but no carry-over removal). + */ + private def evaluateRequirements( + changelog: Changelog, + options: ChangelogInfo): PostProcessingRequirements = { + // Net change computation is not yet implemented. + if (options.deduplicationMode() == ChangelogInfo.DeduplicationMode.NET_CHANGES) { + throw QueryCompilationErrors.cdcNetChangesNotYetSupported(changelog.name()) + } + + val requiresCarryOverRemoval = + options.deduplicationMode() != ChangelogInfo.DeduplicationMode.NONE && + changelog.containsCarryoverRows() + val requiresUpdateDetection = + options.computeUpdates() && changelog.representsUpdateAsDeleteAndInsert() + val requiresNetChanges = + options.deduplicationMode() == ChangelogInfo.DeduplicationMode.NET_CHANGES && + changelog.containsIntermediateChanges() + + // If carry-overs are surfaced and update detection is enabled without carry-over + // removal, carry-overs would be falsely classified as updates, leading to wrong + // results. Hence we throw. + if (requiresUpdateDetection && + changelog.containsCarryoverRows() && + options.deduplicationMode() == ChangelogInfo.DeduplicationMode.NONE) { + throw QueryCompilationErrors.cdcUpdateDetectionRequiresCarryOverRemoval( + changelog.name()) + } + + PostProcessingRequirements( + requiresCarryOverRemoval, requiresUpdateDetection, requiresNetChanges) + } + + // --------------------------------------------------------------------------- + // Row Level Post Processing (Update Detection & Carry-over Removal) + // --------------------------------------------------------------------------- + + /** + * Adds row-level post-processing (carry-over removal and/or update detection) on top of + * the given plan: + * - both active -> Window(counts + rv bounds) -> Filter -> Project(relabel) -> Drop helpers + * - carry-over only -> Window(counts + rv bounds) -> Filter -> Drop helpers + * - update only -> Window(counts only) -> Project(relabel) -> Drop helpers + * - neither -> not invoked (caller guards this case) + */ + private def addRowLevelPostProcessing( + plan: LogicalPlan, + cl: Changelog, + requiresCarryOverRemoval: Boolean, + requiresUpdateDetection: Boolean): LogicalPlan = { + // Row-version bounds in the Window are needed iff we filter carry-over pairs. + var modifiedPlan = addPostProcessingWindow(plan, cl, + includeRowVersionBounds = requiresCarryOverRemoval) + if (requiresCarryOverRemoval) modifiedPlan = addCarryOverPairFilter(modifiedPlan) + if (requiresUpdateDetection) modifiedPlan = addUpdateRelabelProjection(modifiedPlan) + removeHelperColumns(modifiedPlan) + } + + /** + * Adds a Window node partitioned by (rowId, _commit_version) that computes + * `_del_cnt` and `_ins_cnt` per partition, and, when `includeRowVersionBounds` + * is true, additionally `_min_rv` / `_max_rv` (min/max of `Changelog.rowVersion()`). + * + * `_del_cnt` / `_ins_cnt` drive update detection (1 each -> relabel as + * update_preimage / update_postimage). `_min_rv` / `_max_rv` drive carry-over + * detection (within a delete+insert pair, equal bounds signal a CoW carry-over). + */ + private def addPostProcessingWindow( + plan: LogicalPlan, + cl: Changelog, + includeRowVersionBounds: Boolean): LogicalPlan = { + val changeTypeAttr = getAttribute(plan, "_change_type") Review Comment: It would be helpful to define these names as constant somewhere so that connectors can reuse them instead of redefining their own ########## sql/core/src/test/scala/org/apache/spark/sql/connector/ResolveChangelogTablePostProcessingSuite.scala: ########## @@ -0,0 +1,945 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.connector + +import java.util.Collections + +import org.scalatest.BeforeAndAfterEach + +import org.apache.spark.SparkRuntimeException +import org.apache.spark.sql.{AnalysisException, QueryTest} +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.connector.catalog.{ + ChangelogProperties, Column, Identifier, InMemoryChangelogCatalog} +import org.apache.spark.sql.connector.expressions.Transform +import org.apache.spark.sql.test.SharedSparkSession +import org.apache.spark.sql.types.{ + BinaryType, BooleanType, DoubleType, LongType, StringType, StructField, StructType} +import org.apache.spark.unsafe.types.UTF8String + +/** + * Tests for [[org.apache.spark.sql.catalyst.analysis.ResolveChangelogTable]] using the + * in-memory changelog catalog. These tests don't depend on Delta or any specific connector; + * they directly control what the connector "returns" by populating the in-memory changelog + * with hand-crafted change rows. + * + * Each test sets up [[ChangelogProperties]] on the catalog to enable specific post-processing + * paths (carry-over removal, update detection) and then verifies that Spark's analyzer rule + * correctly transforms the plan and produces the expected output. + */ +class ResolveChangelogTablePostProcessingSuite Review Comment: write a test for streaming without post processing ########## sql/core/src/test/scala/org/apache/spark/sql/connector/ResolveChangelogTablePostProcessingSuite.scala: ########## @@ -0,0 +1,945 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.connector + +import java.util.Collections + +import org.scalatest.BeforeAndAfterEach + +import org.apache.spark.SparkRuntimeException +import org.apache.spark.sql.{AnalysisException, QueryTest} +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.connector.catalog.{ + ChangelogProperties, Column, Identifier, InMemoryChangelogCatalog} +import org.apache.spark.sql.connector.expressions.Transform +import org.apache.spark.sql.test.SharedSparkSession +import org.apache.spark.sql.types.{ + BinaryType, BooleanType, DoubleType, LongType, StringType, StructField, StructType} +import org.apache.spark.unsafe.types.UTF8String + +/** + * Tests for [[org.apache.spark.sql.catalyst.analysis.ResolveChangelogTable]] using the + * in-memory changelog catalog. These tests don't depend on Delta or any specific connector; + * they directly control what the connector "returns" by populating the in-memory changelog + * with hand-crafted change rows. + * + * Each test sets up [[ChangelogProperties]] on the catalog to enable specific post-processing + * paths (carry-over removal, update detection) and then verifies that Spark's analyzer rule + * correctly transforms the plan and produces the expected output. + */ +class ResolveChangelogTablePostProcessingSuite + extends QueryTest + with SharedSparkSession + with BeforeAndAfterEach { + + private val catalogName = "cdc_test_catalog" + private val testTableName = "events" + + override def beforeAll(): Unit = { + super.beforeAll() + spark.conf.set( + s"spark.sql.catalog.$catalogName", + classOf[InMemoryChangelogCatalog].getName) + } + + override def beforeEach(): Unit = { + super.beforeEach() + val cat = catalog + val ident = Identifier.of(Array.empty, testTableName) + if (cat.tableExists(ident)) cat.dropTable(ident) + cat.clearChangeRows(ident) + cat.setChangelogProperties(ident, ChangelogProperties()) + cat.createTable( + ident, + Array( + Column.create("id", LongType), + Column.create("name", StringType), + Column.create("row_commit_version", LongType, false)), + Array.empty[Transform], + Collections.emptyMap[String, String]()) + } + + private def catalog: InMemoryChangelogCatalog = { + spark.sessionState.catalogManager + .catalog(catalogName) + .asInstanceOf[InMemoryChangelogCatalog] + } + + private def ident = Identifier.of(Array.empty, testTableName) + + /** + * Helper to create a change row matching schema + * (id, name, row_commit_version, _change_type, _commit_version, _commit_timestamp). + * + * `rowCommitVersion` follows Delta row-tracking semantics: carry-over pairs (CoW-rewritten + * unchanged rows) share the same value on both sides; real updates carry the OLD value on + * the delete side and the NEW value on the insert side. Defaults to `commitVersion` for + * tests that don't exercise carry-over removal. + */ + private def changeRow( + id: Long, + name: String, + changeType: String, + commitVersion: Long, + rowCommitVersion: Long = -1L, + commitTimestamp: Long = 0L): InternalRow = { + val rcv = if (rowCommitVersion == -1L) commitVersion else rowCommitVersion + InternalRow( + id, + UTF8String.fromString(name), + rcv, + UTF8String.fromString(changeType), + commitVersion, + commitTimestamp) + } + + // =========================================================================== + // Carry-Over Removal + // =========================================================================== + + test("carry-over removal drops identical delete+insert pairs") { + catalog.setChangelogProperties(ident, ChangelogProperties( + containsCarryoverRows = true, + rowIdNames = Seq("id"), + rowVersionName = Some("row_commit_version"))) + + // v1: insert Alice and Bob (rcv=1 each) + // v2: real delete Alice (preimage carries old rcv=1); + // carry-over for Bob (CoW, rcv unchanged on both sides) + catalog.addChangeRows(ident, Seq( + changeRow(1L, "Alice", "insert", 1L, rowCommitVersion = 1L), + changeRow(2L, "Bob", "insert", 1L, rowCommitVersion = 1L), + changeRow(1L, "Alice", "delete", 2L, rowCommitVersion = 1L), + changeRow(2L, "Bob", "delete", 2L, rowCommitVersion = 1L), // carry-over + changeRow(2L, "Bob", "insert", 2L, rowCommitVersion = 1L))) // carry-over (same rcv) + + val rows = sql( Review Comment: Use `checkAnswer()` to validate results -- This is an automated message from the Apache Git Service. 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