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58 changes: 58 additions & 0 deletions common/utils/src/main/resources/error/error-conditions.json
Original file line number Diff line number Diff line change
Expand Up @@ -3272,6 +3272,64 @@
"message" : [
"`startingVersion` is required when `endingVersion` is specified for CDC queries."
]
},
"NET_CHANGES_NOT_YET_SUPPORTED" : {
"message" : [
"The `deduplicationMode = netChanges` option on connector `<changelogName>` is not yet supported. Use `deduplicationMode = dropCarryovers` (default) or `deduplicationMode = none` instead."
]
},
"STREAMING_POST_PROCESSING_NOT_SUPPORTED" : {
"message" : [
"Change Data Capture (CDC) streaming reads on connector `<changelogName>` do not yet support post-processing (carry-over removal, update detection, or net change computation). The requested combination of options would require post-processing, which is currently only available for batch reads. Use a batch read, or set `deduplicationMode = none` and `computeUpdates = false` to receive raw change rows in streaming."
]
},
"UPDATE_DETECTION_REQUIRES_CARRY_OVER_REMOVAL" : {
"message" : [
"`computeUpdates` cannot be used with `deduplicationMode=none` on connector `<changelogName>` because the connector emits copy-on-write carry-over pairs (`containsCarryoverRows()` returns true) that would be silently mislabeled as updates. Set `deduplicationMode` to `dropCarryovers` or `netChanges`."
]
},
"UNEXPECTED_MULTIPLE_CHANGES_PER_ROW_VERSION" : {
"message" : [
"Connector emitted multiple delete or insert rows for the same `(rowId, _commit_version)` partition. The `Changelog` contract requires at most one logical change per row identity per commit when `containsIntermediateChanges() = false`. Either fix the connector to deduplicate intermediate states, or set `containsIntermediateChanges() = true` and use `deduplicationMode = netChanges`."
]
}
},
"sqlState" : "42K03"
},
"INVALID_CHANGELOG_SCHEMA" : {
"message" : [
"The Change Data Capture (CDC) schema returned by connector <changelogName> is invalid."
],
"subClass" : {
"INVALID_COLUMN_TYPE" : {
"message" : [
"Column `<columnName>` has type <actualType>, expected <expectedType>."
]
},
"MISSING_COLUMN" : {
"message" : [
"Required column `<columnName>` is missing."
]
},
"MISSING_ROW_ID" : {

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INVALID_CHANGELOG_SCHEMA.MISSING_ROW_ID and INVALID_CHANGELOG_SCHEMA.NESTED_ROW_ID are declared here but not raised anywhere: no helper in QueryCompilationErrors, no call sites, no tests reference them. The PR description lists them as shipped but the code never uses them.

Either land the helpers + validation now (tying into the schema-validation relocation discussion on ChangelogTable.scala line 70), or remove these sub-classes until the follow-up that raises them. Dead error-class declarations surface in the generated docs and tend to drift once the real fix lands.

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Covered with the first batch of PR feedback fixes

"message" : [
"Connector advertises one or more post-processing properties (`containsCarryoverRows`, `representsUpdateAsDeleteAndInsert`, `containsIntermediateChanges`) that require row identity, but `Changelog.rowId()` returned an empty array. Either set all three to `false`, or return at least one row-id `NamedReference`."
]
},
"MISSING_ROW_VERSION" : {
"message" : [
"Connector advertises `containsCarryoverRows` or `representsUpdateAsDeleteAndInsert` is `true`, but `Changelog.rowVersion()` is not implemented. Override `rowVersion()` to return a `NamedReference` pointing to a non-nullable column in `Changelog.columns()`."
]
},
"NESTED_ROW_VERSION" : {
"message" : [
"Row version `<reference>` references a nested column. Spark requires `Changelog.rowVersion()` to point to a top-level column of `Changelog.columns()`."
]
},
"NULLABLE_ROW_VERSION" : {
"message" : [
"The row version column `<columnName>` is nullable. Spark requires a non-nullable row version column when `containsCarryoverRows` or `representsUpdateAsDeleteAndInsert` is `true`, to safely distinguish copy-on-write carry-over pairs from real updates. Mark the column non-nullable in `Changelog.columns()`."
]
}
},
"sqlState" : "42K03"
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -445,6 +445,7 @@ class Analyzer(
new ResolveCatalogs(catalogManager) ::
ResolveInsertInto ::
ResolveRelations ::
ResolveChangelogTable ::
ResolvePartitionSpec ::
ResolveFieldNameAndPosition ::
AddMetadataColumns ::
Expand Down
Original file line number Diff line number Diff line change
@@ -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")
val rowIdExprs = V2ExpressionUtils.resolveRefs[NamedExpression](cl.rowId().toSeq, plan)
val commitVersionAttr = getAttribute(plan, "_commit_version")
val partitionByCols = rowIdExprs ++ Seq(commitVersionAttr)
val windowSpec = WindowSpecDefinition(partitionByCols, Nil, UnspecifiedFrame)

val insertIf = If(EqualTo(changeTypeAttr, Literal("insert")),
Literal(1), Literal(null, IntegerType))
val deleteIf = If(EqualTo(changeTypeAttr, Literal("delete")),
Literal(1), Literal(null, IntegerType))

val insCntAlias = Alias(WindowExpression(
Count(Seq(insertIf)).toAggregateExpression(), windowSpec), HelperColumn.InsCnt)()
val delCntAlias = Alias(WindowExpression(
Count(Seq(deleteIf)).toAggregateExpression(), windowSpec), HelperColumn.DelCnt)()
val baseAliases = Seq(delCntAlias, insCntAlias)
val rowVersionAliases = if (includeRowVersionBounds) {
val rowVersionExpr =
V2ExpressionUtils.resolveRef[NamedExpression](cl.rowVersion(), plan)
Seq(
Alias(WindowExpression(
Min(rowVersionExpr).toAggregateExpression(), windowSpec), HelperColumn.MinRv)(),
Alias(WindowExpression(
Max(rowVersionExpr).toAggregateExpression(), windowSpec), HelperColumn.MaxRv)())
} else {
Seq.empty
}
Window(baseAliases ++ rowVersionAliases, partitionByCols, Nil, plan)
}

/**
* Adds a Filter node that drops rows belonging to a CoW carry-over pair.
* Expects the input to expose `_del_cnt`, `_ins_cnt`, `_min_rv`, `_max_rv`.
* A pair is a carry-over iff `_del_cnt = 1 AND _ins_cnt = 1 AND _min_rv = _max_rv`.
*/
private def addCarryOverPairFilter(input: LogicalPlan): LogicalPlan = {
val delCnt = getAttribute(input, HelperColumn.DelCnt)
val insCnt = getAttribute(input, HelperColumn.InsCnt)
val minRv = getAttribute(input, HelperColumn.MinRv)
val maxRv = getAttribute(input, HelperColumn.MaxRv)

val isCarryoverPair = And(
And(EqualTo(delCnt, Literal(1L)), EqualTo(insCnt, Literal(1L))),
EqualTo(minRv, maxRv))

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NULL-safety concern on _min_rv = _max_rv.

SQL equality with NULL is UNKNOWN, not TRUE:

  • Both sides have NULL rowVersionMin = Max = NULLNULL = NULL is UNKNOWN ⇒ filter keeps the pair (treated as an update). Arguably the safe default.
  • One side NULL, the other non-null ⇒ Min and Max both skip the null and return the non-null value ⇒ _min_rv = _max_rv ⇒ filter drops the pair as a carry-over. This is a silent correctness hole — a connector emitting NULL on one side of a real update would lose both rows.

Options:

  1. Document in Changelog.rowVersion() that the column must be non-nullable, and enforce it in ChangelogTable.validateSchema.
  2. Add count(rowVersion) = 2 to isCarryoverPair, or use EqualNullSafe plus a non-null guard.

Worth a test with NULL rowVersion on exactly one half of a pair.

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Implemented option 1, added test cases "ChangelogTable - nullable rowVersion column fails" and "ChangelogTable - non-nullable rowVersion column passes"

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updated doc in #55460
We can add code and test for the nullability check as follow-up

Filter(Not(isCarryoverPair), input)
}

/**
* Adds a Project node that rewrites `_change_type` to `update_preimage` /
* `update_postimage` whenever a delete+insert pair is present in the partition.
* Expects the input to expose `_del_cnt` and `_ins_cnt`.
*/
private def addUpdateRelabelProjection(input: LogicalPlan): LogicalPlan = {
val changeTypeAttr = getAttribute(input, "_change_type")
val delCnt = getAttribute(input, HelperColumn.DelCnt)
val insCnt = getAttribute(input, HelperColumn.InsCnt)

val isUpdate = And(
EqualTo(delCnt, Literal(1L)),
EqualTo(insCnt, Literal(1L)))
val isInvalid = Or(GreaterThan(delCnt, Literal(1L)), GreaterThan(insCnt, Literal(1L)))
val updateType = If(EqualTo(changeTypeAttr, Literal("insert")),
Literal("update_postimage"), Literal("update_preimage"))

val raiseInvalid = RaiseError(
Literal("INVALID_CDC_OPTION.UNEXPECTED_MULTIPLE_CHANGES_PER_ROW_VERSION"),
CreateMap(Nil),
StringType)
val caseExpr = CaseWhen(Seq(isInvalid -> raiseInvalid, isUpdate -> updateType), changeTypeAttr)

val projectList = input.output.map { attr =>
if (attr.name == "_change_type") Alias(caseExpr, "_change_type")()
else attr
}
Project(projectList, input)
}

// ---------------------------------------------------------------------------
// Net Change Computation
// ---------------------------------------------------------------------------

/**
* Collapses multiple changes per row identity into the net effect.
* Not yet implemented.
*/
private def injectNetChangeComputation(
plan: LogicalPlan,
cl: Changelog): LogicalPlan = {
plan
}

// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------

/**
* Returns true if this plan has already been transformed by this rule.
* Uses a plan-level tag to prevent re-processing on subsequent rule executor iterations.
*/
private def isAlreadyTransformed(plan: LogicalPlan): Boolean = {
plan.getTagValue(CHANGELOG_TRANSFORMED_TAG).getOrElse(false)
}

/**
* Removes any helper columns (see [[HelperColumn]]) that earlier steps added to the
* plan. Helper columns not present in the input are silently ignored, so this method
* can be applied unconditionally regardless of which post-processing steps ran.
*/
private def removeHelperColumns(input: LogicalPlan): LogicalPlan = {
Project(input.output.filterNot(a => HelperColumn.all.contains(a.name)), input)
}

/**
* Looks up an attribute by name in a plan's output. Throws a clear error if missing --
* used for required columns like `_change_type` / `_commit_version` / helper columns
* added by earlier steps; a missing column is always a programming error.
*/
private def getAttribute(plan: LogicalPlan, name: String): Attribute =
plan.output.find(_.name == name).getOrElse(
throw new IllegalStateException(
s"Required column '$name' not found in plan output: " +
plan.output.map(_.name).mkString(", ")))
}
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