tsreaper commented on code in PR #361:
URL: https://github.com/apache/flink-table-store/pull/361#discussion_r1017662573


##########
flink-table-store-connector/src/main/java/org/apache/flink/table/store/connector/sink/FullChangelogStoreWriteOperator.java:
##########
@@ -0,0 +1,224 @@
+/*
+ * 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.flink.table.store.connector.sink;
+
+import org.apache.flink.api.common.state.ListState;
+import org.apache.flink.api.common.state.ListStateDescriptor;
+import org.apache.flink.api.common.typeutils.TypeSerializer;
+import org.apache.flink.api.common.typeutils.base.IntSerializer;
+import org.apache.flink.api.common.typeutils.base.LongSerializer;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.api.java.tuple.Tuple3;
+import org.apache.flink.api.java.typeutils.runtime.TupleSerializer;
+import org.apache.flink.runtime.state.StateInitializationContext;
+import org.apache.flink.runtime.state.StateSnapshotContext;
+import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.data.binary.BinaryRowData;
+import org.apache.flink.table.runtime.typeutils.BinaryRowDataSerializer;
+import org.apache.flink.table.store.CoreOptions;
+import org.apache.flink.table.store.file.Snapshot;
+import org.apache.flink.table.store.file.utils.SnapshotManager;
+import org.apache.flink.table.store.table.FileStoreTable;
+import org.apache.flink.table.store.table.sink.LogSinkFunction;
+import org.apache.flink.table.store.table.sink.SinkRecord;
+
+import javax.annotation.Nullable;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.NavigableMap;
+import java.util.Optional;
+import java.util.Set;
+import java.util.TreeMap;
+
+/**
+ * A {@link StoreWriteOperator} for {@link
+ * org.apache.flink.table.store.CoreOptions.ChangelogProducer#FULL_COMPACTION} 
changelog producer.
+ */
+public class FullChangelogStoreWriteOperator extends StoreWriteOperator {
+
+    private final long checkpointThreshold;
+
+    private transient Set<Tuple2<BinaryRowData, Integer>> 
currentWrittenBuckets;
+    private transient NavigableMap<Long, Set<Tuple2<BinaryRowData, Integer>>> 
writtenBuckets;
+    private transient ListState<Tuple3<Long, BinaryRowData, Integer>> 
writtenBucketState;
+    private transient Long snapshotIdentifierToCheck;
+
+    public FullChangelogStoreWriteOperator(
+            FileStoreTable table,
+            String initialCommitUser,
+            @Nullable Map<String, String> overwritePartition,
+            @Nullable LogSinkFunction logSinkFunction,
+            long checkpointThreshold) {
+        super(table, initialCommitUser, overwritePartition, logSinkFunction);
+        this.checkpointThreshold = checkpointThreshold;
+    }
+
+    @SuppressWarnings("unchecked")
+    @Override
+    public void initializeState(StateInitializationContext context) throws 
Exception {
+        super.initializeState(context);
+
+        TupleSerializer<Tuple3<Long, BinaryRowData, Integer>> 
writtenBucketStateSerializer =
+                new TupleSerializer<>(
+                        (Class<Tuple3<Long, BinaryRowData, Integer>>) 
(Class<?>) Tuple3.class,
+                        new TypeSerializer[] {
+                            LongSerializer.INSTANCE,
+                            new BinaryRowDataSerializer(
+                                    
table.schema().logicalPartitionType().getFieldCount()),
+                            IntSerializer.INSTANCE
+                        });
+        writtenBucketState =
+                context.getOperatorStateStore()
+                        .getListState(
+                                new ListStateDescriptor<>(
+                                        "table_store_written_buckets",
+                                        writtenBucketStateSerializer));
+        writtenBuckets = new TreeMap<>();
+        writtenBucketState
+                .get()
+                .forEach(
+                        t ->
+                                writtenBuckets
+                                        .computeIfAbsent(t.f0, k -> new 
HashSet<>())
+                                        .add(Tuple2.of(t.f1, t.f2)));
+
+        snapshotIdentifierToCheck = null;
+    }
+
+    @Override
+    public void open() throws Exception {
+        super.open();
+        currentWrittenBuckets = new HashSet<>();
+    }
+
+    @Override
+    public void processElement(StreamRecord<RowData> element) throws Exception 
{
+        SinkRecord record = writeRecord(element);
+
+        BinaryRowData partition = record.partition();
+        int bucket = record.bucket();
+        // partition is a reused BinaryRowData
+        // we first check if the tuple exists to minimize copying
+        if (!currentWrittenBuckets.contains(Tuple2.of(partition, bucket))) {
+            currentWrittenBuckets.add(Tuple2.of(partition.copy(), bucket));
+        }
+    }
+
+    @Override
+    public void snapshotState(StateSnapshotContext context) throws Exception {
+        super.snapshotState(context);
+
+        List<Tuple3<Long, BinaryRowData, Integer>> writtenBucketList = new 
ArrayList<>();
+        for (Map.Entry<Long, Set<Tuple2<BinaryRowData, Integer>>> entry :
+                writtenBuckets.entrySet()) {
+            for (Tuple2<BinaryRowData, Integer> bucket : entry.getValue()) {
+                writtenBucketList.add(Tuple3.of(entry.getKey(), bucket.f0, 
bucket.f1));
+            }
+        }
+        writtenBucketState.update(writtenBucketList);
+    }
+
+    @Override
+    protected List<Committable> prepareCommit(boolean blocking, long 
checkpointId)
+            throws IOException {
+        if (snapshotIdentifierToCheck != null) {
+            Optional<Snapshot> snapshot = 
findSnapshot(snapshotIdentifierToCheck);
+            if (snapshot.map(s -> s.commitKind() == 
Snapshot.CommitKind.COMPACT).orElse(false)) {

Review Comment:
   They are actually very different.
   
   `AbstractFileStoreWrite` needs to determine if all written records have been 
committed, no matter what the snapshot kind is. So we only need to compare with 
the latest commit identifier by this user.
   
   However `FullChangelogStoreWriteOperator` must find the exact snapshot it is 
looking for. It is possible that the latest commit identifier is newer, but no 
compact changes is committed due to conflicts.
   
   I'll add more comments to this code block if you feel it hard to understand.



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