pvary commented on code in PR #15996:
URL: https://github.com/apache/iceberg/pull/15996#discussion_r3362390517


##########
flink/v2.1/flink/src/main/java/org/apache/iceberg/flink/maintenance/api/ConvertEqualityDeletes.java:
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@@ -0,0 +1,281 @@
+/*
+ * 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.iceberg.flink.maintenance.api;
+
+import java.util.Collections;
+import java.util.List;
+import org.apache.flink.annotation.Experimental;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.streaming.api.datastream.BroadcastStream;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.SnapshotRef;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.TableUtil;
+import org.apache.iceberg.flink.maintenance.operator.DVMergeResult;
+import org.apache.iceberg.flink.maintenance.operator.DVPosition;
+import org.apache.iceberg.flink.maintenance.operator.EqualityConvertCommitter;
+import org.apache.iceberg.flink.maintenance.operator.EqualityConvertDVResolver;
+import org.apache.iceberg.flink.maintenance.operator.EqualityConvertPlanResult;
+import org.apache.iceberg.flink.maintenance.operator.EqualityConvertPlanner;
+import org.apache.iceberg.flink.maintenance.operator.EqualityConvertReader;
+import org.apache.iceberg.flink.maintenance.operator.EqualityConvertWorker;
+import org.apache.iceberg.flink.maintenance.operator.IndexCommand;
+import org.apache.iceberg.flink.maintenance.operator.ReadCommand;
+import org.apache.iceberg.flink.maintenance.operator.SerializedEqualityValues;
+import org.apache.iceberg.flink.maintenance.operator.TaskResultAggregator;
+import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.types.Types.NestedField;
+
+/**
+ * Creates the equality delete to DV conversion data stream. Runs a single 
iteration of the
+ * conversion for every {@link Trigger} event.
+ *
+ * <p>The pipeline reads equality delete files from a staging branch, converts 
them to deletion
+ * vectors (DVs) using a primary key index stored in Flink state, and commits 
the data files and DVs
+ * to the main branch.
+ *
+ * <p>The conversion is split into parallel stages:
+ *
+ * <ol>
+ *   <li>Planner (p=1): scans staging branch, emits file-level ReadCommands 
with phase timestamps
+ *   <li>Reader (p=N): reads files, emits row-level IndexCommands
+ *   <li>Worker (p=N): maintains PK index shards, resolves equality deletes to 
DV positions
+ *   <li>DVResolver (p=N, keyed by data file path): buffers positions per 
file, writes Puffin DVs
+ *       inline
+ *   <li>Committer (p=1): commits data files and DVs to main branch
+ * </ol>
+ *
+ * <p>Mutual exclusion with concurrent maintenance tasks (e.g. compaction) is 
enforced by the Flink
+ * maintenance framework lock.
+ */
+@Experimental
+public class ConvertEqualityDeletes {
+  static final String PLANNER_TASK_NAME = "EqConvert Planner";
+  static final String READER_TASK_NAME = "EqConvert Reader";
+  static final String WORKER_TASK_NAME = "EqConvert Worker";
+  static final String DV_RESOLVER_TASK_NAME = "EqConvert DVResolver";
+  static final String UPSTREAM_ABORT_TASK_NAME = "EqConvert UpstreamAbort";
+  static final String COMMIT_TASK_NAME = "EqConvert Commit";
+  static final String AGGREGATOR_TASK_NAME = "EqConvert Aggregator";
+
+  private ConvertEqualityDeletes() {}
+
+  public static Builder builder() {
+    return new Builder();
+  }
+
+  public static class Builder extends MaintenanceTaskBuilder<Builder> {
+    private String stagingBranch;
+    private String targetBranch = SnapshotRef.MAIN_BRANCH;
+    private List<String> equalityFieldColumns = Collections.emptyList();
+
+    @Override
+    String maintenanceTaskName() {
+      return "ConvertEqualityDeletes";
+    }
+
+    /** Sets the staging branch name that holds the equality delete files and 
data files. */
+    public Builder stagingBranch(String newStagingBranch) {
+      this.stagingBranch = newStagingBranch;
+      return this;
+    }
+
+    /**
+     * Sets the target branch where converted data files and DVs are 
committed. Defaults to the main
+     * branch.
+     */
+    public Builder targetBranch(String newTargetBranch) {
+      this.targetBranch = newTargetBranch;
+      return this;
+    }
+
+    /**
+     * Sets the equality field columns used by the worker index. Required. 
Must match the equality
+     * field columns the writer uses for staging eq-delete files; mismatched 
eq-deletes fail the
+     * cycle. Mirrors {@link
+     * org.apache.iceberg.flink.sink.IcebergSink.Builder#equalityFieldColumns}.
+     *
+     * <p>Partition source columns of every spec on the table must be a subset 
of these columns
+     * (FlinkSink / IcebergSink contract). The converter keys data rows by 
{@code (specId, equality
+     * values)} and assumes the partition contains the equality values.
+     */
+    public Builder equalityFieldColumns(List<String> columns) {
+      Preconditions.checkNotNull(columns, "equalityFieldColumns must not be 
null");
+      Preconditions.checkArgument(!columns.isEmpty(), "equalityFieldColumns 
must not be empty");
+      this.equalityFieldColumns = 
Collections.unmodifiableList(Lists.newArrayList(columns));
+      return this;
+    }
+
+    @Override
+    DataStream<TaskResult> append(DataStream<Trigger> trigger) {
+      Preconditions.checkNotNull(stagingBranch, "stagingBranch must be set");
+      Preconditions.checkArgument(
+          !equalityFieldColumns.isEmpty(), "equalityFieldColumns must be set 
on the builder");
+      List<Integer> eqFieldIds = resolveEqualityFieldIds();
+
+      // Planner (p=1): emits ReadCommands with phase timestamps and watermarks
+      SingleOutputStreamOperator<ReadCommand> planned =
+          setSlotSharingGroup(
+              trigger
+                  .transform(
+                      operatorName(PLANNER_TASK_NAME),
+                      TypeInformation.of(ReadCommand.class),
+                      new EqualityConvertPlanner(
+                          tableName(),
+                          taskName(),
+                          tableLoader(),
+                          stagingBranch,
+                          targetBranch,
+                          eqFieldIds))
+                  .uid(PLANNER_TASK_NAME + uidSuffix())
+                  .forceNonParallel());
+
+      // Reader (p=N): reads files, emits IndexCommands
+      SingleOutputStreamOperator<IndexCommand> index =
+          setSlotSharingGroup(
+              planned
+                  .rebalance()
+                  .process(new EqualityConvertReader(tableLoader(), 
eqFieldIds))
+                  .name(operatorName(READER_TASK_NAME))
+                  .uid(READER_TASK_NAME + uidSuffix())
+                  .setParallelism(parallelism()));
+
+      // Broadcast from the planner to the worker to clear the entire index
+      BroadcastStream<IndexCommand> clearIndexBroadcast =
+          planned
+              .getSideOutput(EqualityConvertPlanner.CLEAR_BROADCAST_STREAM)
+              .broadcast(EqualityConvertWorker.CLEAR_BROADCAST_DESCRIPTOR);
+
+      // Worker (p=N): keyed by full PK, phase-aware buffering.
+      SingleOutputStreamOperator<DVPosition> dvPositions =
+          setSlotSharingGroup(
+              index
+                  .keyBy(IndexCommand::key, 
TypeInformation.of(SerializedEqualityValues.class))
+                  .connect(clearIndexBroadcast)
+                  .process(new EqualityConvertWorker())
+                  .name(operatorName(WORKER_TASK_NAME))
+                  .uid(WORKER_TASK_NAME + uidSuffix())
+                  .setParallelism(parallelism()));
+
+      // Reader-side abort signals bypass the Worker and feed the DVResolver 
directly, so a reader
+      // failure can short-circuit the cycle without waiting on a keyed 
shuffle.
+      DataStream<DVPosition> readerAborts =
+          index.getSideOutput(EqualityConvertReader.READER_ABORT_STREAM);
+      DataStream<DVPosition> dvPositionsWithAborts = 
dvPositions.union(readerAborts);
+
+      // Metadata side output from planner
+      DataStream<EqualityConvertPlanResult> metadata =
+          planned.getSideOutput(EqualityConvertPlanner.METADATA_STREAM);
+
+      // DVResolver (p=N, keyed by data file path): groups positions per file, 
writes Puffin DV
+      // files inline, emits DVMergeResult per task. Plan metadata broadcast 
so every subtask sees
+      // it.
+      SingleOutputStreamOperator<DVMergeResult> resolved =
+          setSlotSharingGroup(
+              dvPositionsWithAborts
+                  .keyBy(DVPosition::dataFilePath)
+                  .connect(metadata.broadcast())
+                  .transform(
+                      operatorName(DV_RESOLVER_TASK_NAME),
+                      TypeInformation.of(DVMergeResult.class),
+                      new EqualityConvertDVResolver(
+                          tableName(), taskName(), tableLoader(), 
targetBranch))
+                  .uid(DV_RESOLVER_TASK_NAME + uidSuffix())
+                  .setParallelism(parallelism()));
+
+      // Upstream errors become abort signals so a partial read never commits. 
The same error side
+      // outputs also feed the aggregator below to surface the exception in 
TaskResult; the two
+      // consumers serve different purposes and must both exist.
+      DataStream<DVMergeResult> upstreamAborts =
+          setSlotSharingGroup(
+              index
+                  .getSideOutput(TaskResultAggregator.ERROR_STREAM)
+                  
.union(dvPositions.getSideOutput(TaskResultAggregator.ERROR_STREAM))
+                  .map(e -> DVMergeResult.ABORT)
+                  .returns(TypeInformation.of(DVMergeResult.class))
+                  .name(operatorName(UPSTREAM_ABORT_TASK_NAME))
+                  .uid(UPSTREAM_ABORT_TASK_NAME + uidSuffix())
+                  .forceNonParallel());
+
+      // Committer (p=1): commits data files + DVs to main.
+      SingleOutputStreamOperator<Trigger> committed =
+          setSlotSharingGroup(
+              resolved
+                  .union(upstreamAborts)
+                  .connect(metadata)
+                  .transform(
+                      operatorName(COMMIT_TASK_NAME),
+                      TypeInformation.of(Trigger.class),
+                      new EqualityConvertCommitter(
+                          tableName(), taskName(), tableLoader(), 
stagingBranch, targetBranch))
+                  .uid(COMMIT_TASK_NAME + uidSuffix())
+                  .forceNonParallel());
+
+      // Aggregator (p=1): collects errors and emits TaskResult.
+      return setSlotSharingGroup(
+          committed
+              .connect(
+                  planned
+                      .getSideOutput(TaskResultAggregator.ERROR_STREAM)
+                      
.union(index.getSideOutput(TaskResultAggregator.ERROR_STREAM))
+                      
.union(dvPositions.getSideOutput(TaskResultAggregator.ERROR_STREAM))
+                      
.union(resolved.getSideOutput(TaskResultAggregator.ERROR_STREAM))
+                      
.union(committed.getSideOutput(TaskResultAggregator.ERROR_STREAM)))
+              .transform(
+                  operatorName(AGGREGATOR_TASK_NAME),
+                  TypeInformation.of(TaskResult.class),
+                  new TaskResultAggregator(tableName(), taskName(), index()))
+              .uid(AGGREGATOR_TASK_NAME + uidSuffix())
+              .forceNonParallel());
+    }
+
+    private List<Integer> resolveEqualityFieldIds() {
+      if (!tableLoader().isOpen()) {
+        tableLoader().open();
+      }
+
+      Table table = tableLoader().loadTable();
+      int formatVersion = TableUtil.formatVersion(table);
+      Preconditions.checkArgument(
+          formatVersion >= 3,
+          "ConvertEqualityDeletes requires table format version >= 3 (DVs), "
+              + "but table '%s' is version %s",
+          tableName(),
+          formatVersion);
+
+      Schema schema = table.schema();
+      List<Integer> fieldIds = 
Lists.newArrayListWithCapacity(equalityFieldColumns.size());
+      for (String column : equalityFieldColumns) {
+        NestedField field = schema.findField(column);
+        Preconditions.checkArgument(

Review Comment:
   Nit: maybe add a check that all of the current partition spec columns are in 
the equality delete key.
   This is cheap, and can help avoid misconfiguraions



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