yunqingmoswu commented on code in PR #7878: URL: https://github.com/apache/inlong/pull/7878#discussion_r1181442076
########## inlong-sort/sort-connectors/iceberg/src/main/java/org/apache/inlong/sort/iceberg/sink/collections/PartitionGroupBuffer.java: ########## @@ -0,0 +1,364 @@ +/* + * 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.inlong.sort.iceberg.sink.collections; + +import org.apache.flink.api.common.ExecutionConfig; +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.api.common.typeutils.base.StringSerializer; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.api.java.typeutils.TupleTypeInfo; +import org.apache.flink.core.memory.DataInputDeserializer; +import org.apache.flink.core.memory.DataOutputSerializer; +import org.apache.flink.shaded.guava18.com.google.common.base.Preconditions; +import org.apache.flink.table.data.GenericRowData; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.data.RowData.FieldGetter; +import org.apache.flink.table.data.util.RowDataUtil; +import org.apache.flink.table.runtime.operators.sort.SortUtil; +import org.apache.flink.table.runtime.typeutils.InternalTypeInfo; +import org.apache.iceberg.PartitionKey; +import org.apache.iceberg.Schema; +import org.apache.iceberg.flink.FlinkSchemaUtil; +import org.apache.iceberg.flink.RowDataWrapper; +import org.apache.iceberg.types.Types.NestedField; + +import java.io.Closeable; +import java.io.File; +import java.io.IOException; +import java.io.Serializable; +import java.util.Arrays; +import java.util.Comparator; +import java.util.HashSet; +import java.util.Objects; +import java.util.Set; +import java.util.concurrent.atomic.AtomicLong; +import java.util.function.Consumer; +import java.util.stream.Collectors; +import java.util.stream.Stream; + +public abstract class PartitionGroupBuffer implements Serializable { Review Comment: Please add some comments for it. ########## inlong-sort/sort-connectors/iceberg/src/main/java/org/apache/inlong/sort/iceberg/sink/collections/PartitionGroupBuffer.java: ########## @@ -0,0 +1,364 @@ +/* + * 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.inlong.sort.iceberg.sink.collections; + +import org.apache.flink.api.common.ExecutionConfig; +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.api.common.typeutils.base.StringSerializer; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.api.java.typeutils.TupleTypeInfo; +import org.apache.flink.core.memory.DataInputDeserializer; +import org.apache.flink.core.memory.DataOutputSerializer; +import org.apache.flink.shaded.guava18.com.google.common.base.Preconditions; +import org.apache.flink.table.data.GenericRowData; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.data.RowData.FieldGetter; +import org.apache.flink.table.data.util.RowDataUtil; +import org.apache.flink.table.runtime.operators.sort.SortUtil; +import org.apache.flink.table.runtime.typeutils.InternalTypeInfo; +import org.apache.iceberg.PartitionKey; +import org.apache.iceberg.Schema; +import org.apache.iceberg.flink.FlinkSchemaUtil; +import org.apache.iceberg.flink.RowDataWrapper; +import org.apache.iceberg.types.Types.NestedField; + +import java.io.Closeable; +import java.io.File; +import java.io.IOException; +import java.io.Serializable; +import java.util.Arrays; +import java.util.Comparator; +import java.util.HashSet; +import java.util.Objects; +import java.util.Set; +import java.util.concurrent.atomic.AtomicLong; +import java.util.function.Consumer; +import java.util.stream.Collectors; +import java.util.stream.Stream; + +public abstract class PartitionGroupBuffer implements Serializable { + + private static final long serialVersionUID = 1L; + protected final KVBuffer<?, RowData> buffer; + protected final PartitionKey partitionKey; // partition key helper + protected final Schema rowSchema; // the whole field schema + protected final Set<String> allPartition; + private transient RowDataWrapper wrapper; + + private PartitionGroupBuffer( + KVBuffer<?, RowData> buffer, + PartitionKey partitionKey, + Schema rowSchema) { + this.buffer = buffer; + this.partitionKey = partitionKey; + this.rowSchema = rowSchema; + this.allPartition = new HashSet<>(); + } + + public abstract RowData add(RowData row); + + public void scanPartitions(Consumer<Tuple2<?, RowData>> consumer) throws IOException { + DataOutputSerializer outputBuffer = new DataOutputSerializer(4096); + for (String partition : allPartition) { + StringSerializer.INSTANCE.serialize(partition, outputBuffer); + try (Stream<? extends Tuple2<?, RowData>> stream = buffer.scan(outputBuffer.getCopyOfBuffer())) { + stream.forEach(consumer); + } + outputBuffer.clear(); + } + } + + public void close() throws IOException { + if (buffer instanceof Closeable) { + ((Closeable) buffer).close(); + } + } + + public void clear() { + buffer.clear(); + allPartition.clear(); + } + + protected RowDataWrapper lazyRowDataWrapper() { + if (wrapper == null) { + wrapper = new RowDataWrapper(FlinkSchemaUtil.convert(rowSchema), rowSchema.asStruct()); + } + return wrapper; + } + + /** + * Initialize {@link PreAggPartitionGroupBuffer} + * + * @param fieldsGetter function to get object from {@link RowData} + * @param deleteSchema equality fields schema + * @param rowSchema row data schema + * @param partitionKey partition key + * @param type buffer type to store buffer data + */ + public static PreAggPartitionGroupBuffer preAggInstance( + FieldGetter[] fieldsGetter, + Schema deleteSchema, + Schema rowSchema, + PartitionKey partitionKey, + BufferType type) { + // note: here because `NestedField` does not override equals function, so can not indexOf by `NestedField` + int[] equalityFieldIndex = deleteSchema.columns().stream() + .map(field -> rowSchema.columns() + .stream() + .map(NestedField::fieldId) + .collect(Collectors.toList()) + .indexOf(field.fieldId())) + .sorted() + .mapToInt(Integer::valueOf) + .toArray(); + // do some check, check whether index is legal. can not be null and unique, and number in fields range. + Preconditions.checkArgument( + Arrays.stream(equalityFieldIndex) + .allMatch(index -> index >= 0 && index < fieldsGetter.length), + String.format("Any equality field index (%s) should in a legal range.", + Arrays.toString(equalityFieldIndex))); + + KVBuffer<Tuple2<String, RowData>, RowData> buffer = null; + if (BufferType.ROCKSDB.equals(type)) { + TypeInformation<Tuple2<String, RowData>> keyTypeInfo = new TupleTypeInfo( + BasicTypeInfo.STRING_TYPE_INFO, + InternalTypeInfo.of(FlinkSchemaUtil.convert(deleteSchema))); + TypeInformation<RowData> valueTypeInfo = InternalTypeInfo.of(FlinkSchemaUtil.convert(rowSchema)); + buffer = new RocksDBKVBuffer<>( + keyTypeInfo.createSerializer(new ExecutionConfig()), + valueTypeInfo.createSerializer(new ExecutionConfig()), + System.getProperty("java.io.tmpdir") + File.separator + "mini_batch"); + } else { + TypeInformation<RowData> keyTypeInfo = InternalTypeInfo.of(FlinkSchemaUtil.convert(deleteSchema)); + buffer = new SortedHeapKVBuffer<>( + new PreAggPartitionConvertor(keyTypeInfo.createSerializer(new ExecutionConfig()))); + } + return new PreAggPartitionGroupBuffer(buffer, partitionKey, rowSchema, fieldsGetter, equalityFieldIndex); + } + + /** + * Initialize {@link NonPreAggPartitionGroupBuffer} + * + * @param rowSchema row data schema + * @param partitionKey partition key + */ + public static NonPreAggPartitionGroupBuffer nonPreAggInstance( + Schema rowSchema, + PartitionKey partitionKey, + BufferType type) { + TypeInformation<Tuple2<String, Long>> keyTypeInfo = new TupleTypeInfo( + BasicTypeInfo.STRING_TYPE_INFO, + BasicTypeInfo.LONG_TYPE_INFO); + TypeInformation<RowData> valueTypeInfo = InternalTypeInfo.of(FlinkSchemaUtil.convert(rowSchema)); + + KVBuffer<Tuple2<String, Long>, RowData> buffer = null; + if (BufferType.ROCKSDB.equals(type)) { + buffer = new RocksDBKVBuffer<>( + keyTypeInfo.createSerializer(new ExecutionConfig()), + valueTypeInfo.createSerializer(new ExecutionConfig()), + System.getProperty("java.io.tmpdir") + "/mini_batch"); + } else { + buffer = new SortedHeapKVBuffer<>(new NonPreAggPartitionConvetor()); + } + return new NonPreAggPartitionGroupBuffer(buffer, partitionKey, rowSchema); + } + + // The key is Tuple<partition path, primary key value> + public static class PreAggPartitionGroupBuffer extends PartitionGroupBuffer { + + private final int[] equalityFieldIndex; // the position ordered of equality field in row schema + private final FieldGetter[] fieldsGetter; + + private PreAggPartitionGroupBuffer( + KVBuffer<Tuple2<String, RowData>, RowData> buffer, + PartitionKey partitionKey, + Schema rowSchema, + FieldGetter[] fieldsGetter, + int[] equalityFieldIndex) { + super(buffer, partitionKey, rowSchema); + this.fieldsGetter = fieldsGetter; + this.equalityFieldIndex = equalityFieldIndex; + + } + + @Override + public RowData add(RowData row) { + RowData primaryKey = GenericRowData.of(Arrays.stream(equalityFieldIndex) + .boxed() + .map(index -> fieldsGetter[index].getFieldOrNull(row)) + .toArray(Object[]::new)); + partitionKey.partition(lazyRowDataWrapper().wrap(row)); + allPartition.add(partitionKey.toPath()); + + if (RowDataUtil.isAccumulateMsg(row)) { + return ((KVBuffer<Tuple2<String, RowData>, RowData>) buffer).put( + new Tuple2<>(partitionKey.toPath(), primaryKey), row); + } else { + return ((KVBuffer<Tuple2<String, RowData>, RowData>) buffer).remove( + new Tuple2<>(partitionKey.toPath(), primaryKey)); + } + } + } + + // The key is Tuple<partition path, an incremental number> + public static class NonPreAggPartitionGroupBuffer extends PartitionGroupBuffer { + + private final AtomicLong number; + + private NonPreAggPartitionGroupBuffer( + KVBuffer<Tuple2<String, Long>, RowData> buffer, + PartitionKey partitionKey, + Schema rowSchema) { + super(buffer, partitionKey, rowSchema); + this.number = new AtomicLong(0L); + } + + @Override + public RowData add(RowData row) { + partitionKey.partition(lazyRowDataWrapper().wrap(row)); + allPartition.add(partitionKey.toPath()); + + return ((KVBuffer<Tuple2<String, Long>, RowData>) buffer).put( + new Tuple2<>(partitionKey.toPath(), number.incrementAndGet()), row); + } + + @Override + public void clear() { + super.clear(); + number.set(0L); + } + } + + public static class PreAggPartitionConvertor implements KVBuffer.Convertor<Tuple2<String, RowData>>, Serializable { + + private static final long serialVersionUID = 1L; + private static final GenericRowData EMPTY_ROW = GenericRowData.of(); + + private final TypeSerializer<RowData> keySerializer; + private final DataOutputSerializer outputBuffer; + private final DataInputDeserializer inputBuffer; + + public PreAggPartitionConvertor(TypeSerializer<RowData> keySerializer) { + this.keySerializer = keySerializer; + this.outputBuffer = new DataOutputSerializer(4096); + this.inputBuffer = new DataInputDeserializer(); + } + + // note: Please do not put it into storage location, it's just for compare + @Override + public Tuple2<String, RowData> upper(byte[] keyPrefix) { + inputBuffer.setBuffer(keyPrefix); + try { + return new Tuple2<>(StringSerializer.INSTANCE.deserialize(inputBuffer), GenericRowData.of()); + } catch (IOException e) { + throw new RuntimeException(e); + } + } + + // note: Please do not put it into storage location, it's just for compare + @Override + public Tuple2<String, RowData> lower(byte[] keyPrefix) { + inputBuffer.setBuffer(keyPrefix); + try { + return new Tuple2<>(StringSerializer.INSTANCE.deserialize(inputBuffer), null); + } catch (IOException e) { + throw new RuntimeException(e); + } + } + + @Override + public int compare(Tuple2<String, RowData> k1, Tuple2<String, RowData> k2) { + if (!Objects.equals(k1.f0, k2.f0)) { + return Comparator.nullsLast(Comparator.comparing((Tuple2<String, RowData> k) -> k.f0)).compare(k1, k2); + } + + if (k1.f1 == null || k2.f1 == null) { + if (Objects.equals(k1.f1, k2.f1)) { + return 0; + } else if (k1.f1 == null) { + return -1; + } else { + return 1; + } + } + + if (EMPTY_ROW.equals(k1.f1) || EMPTY_ROW.equals(k2.f1)) { + if (Objects.equals(k1.f1, k2.f1)) { + return 0; + } else if (EMPTY_ROW.equals(k1.f1)) { + return 1; + } else { + return -1; + } + } + + try { + keySerializer.serialize(k1.f1, outputBuffer); + byte[] b1 = outputBuffer.getCopyOfBuffer(); + outputBuffer.clear(); + keySerializer.serialize(k2.f1, outputBuffer); + byte[] b2 = outputBuffer.getCopyOfBuffer(); + outputBuffer.clear(); + return SortUtil.compareBinary(b1, b2); + } catch (IOException e) { + throw new RuntimeException(e); + } + } + } + + public static class NonPreAggPartitionConvetor implements KVBuffer.Convertor<Tuple2<String, Long>>, Serializable { Review Comment: Please add some comments for it. ########## inlong-sort/sort-connectors/iceberg/src/main/java/org/apache/inlong/sort/iceberg/sink/collections/PartitionGroupBuffer.java: ########## @@ -0,0 +1,364 @@ +/* + * 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.inlong.sort.iceberg.sink.collections; + +import org.apache.flink.api.common.ExecutionConfig; +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.api.common.typeutils.base.StringSerializer; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.api.java.typeutils.TupleTypeInfo; +import org.apache.flink.core.memory.DataInputDeserializer; +import org.apache.flink.core.memory.DataOutputSerializer; +import org.apache.flink.shaded.guava18.com.google.common.base.Preconditions; +import org.apache.flink.table.data.GenericRowData; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.data.RowData.FieldGetter; +import org.apache.flink.table.data.util.RowDataUtil; +import org.apache.flink.table.runtime.operators.sort.SortUtil; +import org.apache.flink.table.runtime.typeutils.InternalTypeInfo; +import org.apache.iceberg.PartitionKey; +import org.apache.iceberg.Schema; +import org.apache.iceberg.flink.FlinkSchemaUtil; +import org.apache.iceberg.flink.RowDataWrapper; +import org.apache.iceberg.types.Types.NestedField; + +import java.io.Closeable; +import java.io.File; +import java.io.IOException; +import java.io.Serializable; +import java.util.Arrays; +import java.util.Comparator; +import java.util.HashSet; +import java.util.Objects; +import java.util.Set; +import java.util.concurrent.atomic.AtomicLong; +import java.util.function.Consumer; +import java.util.stream.Collectors; +import java.util.stream.Stream; + +public abstract class PartitionGroupBuffer implements Serializable { + + private static final long serialVersionUID = 1L; + protected final KVBuffer<?, RowData> buffer; + protected final PartitionKey partitionKey; // partition key helper + protected final Schema rowSchema; // the whole field schema + protected final Set<String> allPartition; + private transient RowDataWrapper wrapper; + + private PartitionGroupBuffer( + KVBuffer<?, RowData> buffer, + PartitionKey partitionKey, + Schema rowSchema) { + this.buffer = buffer; + this.partitionKey = partitionKey; + this.rowSchema = rowSchema; + this.allPartition = new HashSet<>(); + } + + public abstract RowData add(RowData row); + + public void scanPartitions(Consumer<Tuple2<?, RowData>> consumer) throws IOException { + DataOutputSerializer outputBuffer = new DataOutputSerializer(4096); + for (String partition : allPartition) { + StringSerializer.INSTANCE.serialize(partition, outputBuffer); + try (Stream<? extends Tuple2<?, RowData>> stream = buffer.scan(outputBuffer.getCopyOfBuffer())) { + stream.forEach(consumer); + } + outputBuffer.clear(); + } + } + + public void close() throws IOException { + if (buffer instanceof Closeable) { + ((Closeable) buffer).close(); + } + } + + public void clear() { + buffer.clear(); + allPartition.clear(); + } + + protected RowDataWrapper lazyRowDataWrapper() { + if (wrapper == null) { + wrapper = new RowDataWrapper(FlinkSchemaUtil.convert(rowSchema), rowSchema.asStruct()); + } + return wrapper; + } + + /** + * Initialize {@link PreAggPartitionGroupBuffer} + * + * @param fieldsGetter function to get object from {@link RowData} + * @param deleteSchema equality fields schema + * @param rowSchema row data schema + * @param partitionKey partition key + * @param type buffer type to store buffer data + */ + public static PreAggPartitionGroupBuffer preAggInstance( + FieldGetter[] fieldsGetter, + Schema deleteSchema, + Schema rowSchema, + PartitionKey partitionKey, + BufferType type) { + // note: here because `NestedField` does not override equals function, so can not indexOf by `NestedField` + int[] equalityFieldIndex = deleteSchema.columns().stream() + .map(field -> rowSchema.columns() + .stream() + .map(NestedField::fieldId) + .collect(Collectors.toList()) + .indexOf(field.fieldId())) + .sorted() + .mapToInt(Integer::valueOf) + .toArray(); + // do some check, check whether index is legal. can not be null and unique, and number in fields range. + Preconditions.checkArgument( + Arrays.stream(equalityFieldIndex) + .allMatch(index -> index >= 0 && index < fieldsGetter.length), + String.format("Any equality field index (%s) should in a legal range.", + Arrays.toString(equalityFieldIndex))); + + KVBuffer<Tuple2<String, RowData>, RowData> buffer = null; + if (BufferType.ROCKSDB.equals(type)) { + TypeInformation<Tuple2<String, RowData>> keyTypeInfo = new TupleTypeInfo( + BasicTypeInfo.STRING_TYPE_INFO, + InternalTypeInfo.of(FlinkSchemaUtil.convert(deleteSchema))); + TypeInformation<RowData> valueTypeInfo = InternalTypeInfo.of(FlinkSchemaUtil.convert(rowSchema)); + buffer = new RocksDBKVBuffer<>( + keyTypeInfo.createSerializer(new ExecutionConfig()), + valueTypeInfo.createSerializer(new ExecutionConfig()), + System.getProperty("java.io.tmpdir") + File.separator + "mini_batch"); + } else { + TypeInformation<RowData> keyTypeInfo = InternalTypeInfo.of(FlinkSchemaUtil.convert(deleteSchema)); + buffer = new SortedHeapKVBuffer<>( + new PreAggPartitionConvertor(keyTypeInfo.createSerializer(new ExecutionConfig()))); + } + return new PreAggPartitionGroupBuffer(buffer, partitionKey, rowSchema, fieldsGetter, equalityFieldIndex); + } + + /** + * Initialize {@link NonPreAggPartitionGroupBuffer} + * + * @param rowSchema row data schema + * @param partitionKey partition key + */ + public static NonPreAggPartitionGroupBuffer nonPreAggInstance( + Schema rowSchema, + PartitionKey partitionKey, + BufferType type) { + TypeInformation<Tuple2<String, Long>> keyTypeInfo = new TupleTypeInfo( + BasicTypeInfo.STRING_TYPE_INFO, + BasicTypeInfo.LONG_TYPE_INFO); + TypeInformation<RowData> valueTypeInfo = InternalTypeInfo.of(FlinkSchemaUtil.convert(rowSchema)); + + KVBuffer<Tuple2<String, Long>, RowData> buffer = null; + if (BufferType.ROCKSDB.equals(type)) { + buffer = new RocksDBKVBuffer<>( + keyTypeInfo.createSerializer(new ExecutionConfig()), + valueTypeInfo.createSerializer(new ExecutionConfig()), + System.getProperty("java.io.tmpdir") + "/mini_batch"); + } else { + buffer = new SortedHeapKVBuffer<>(new NonPreAggPartitionConvetor()); + } + return new NonPreAggPartitionGroupBuffer(buffer, partitionKey, rowSchema); + } + + // The key is Tuple<partition path, primary key value> + public static class PreAggPartitionGroupBuffer extends PartitionGroupBuffer { + + private final int[] equalityFieldIndex; // the position ordered of equality field in row schema + private final FieldGetter[] fieldsGetter; + + private PreAggPartitionGroupBuffer( + KVBuffer<Tuple2<String, RowData>, RowData> buffer, + PartitionKey partitionKey, + Schema rowSchema, + FieldGetter[] fieldsGetter, + int[] equalityFieldIndex) { + super(buffer, partitionKey, rowSchema); + this.fieldsGetter = fieldsGetter; + this.equalityFieldIndex = equalityFieldIndex; + + } + + @Override + public RowData add(RowData row) { + RowData primaryKey = GenericRowData.of(Arrays.stream(equalityFieldIndex) + .boxed() + .map(index -> fieldsGetter[index].getFieldOrNull(row)) + .toArray(Object[]::new)); + partitionKey.partition(lazyRowDataWrapper().wrap(row)); + allPartition.add(partitionKey.toPath()); + + if (RowDataUtil.isAccumulateMsg(row)) { + return ((KVBuffer<Tuple2<String, RowData>, RowData>) buffer).put( + new Tuple2<>(partitionKey.toPath(), primaryKey), row); + } else { + return ((KVBuffer<Tuple2<String, RowData>, RowData>) buffer).remove( + new Tuple2<>(partitionKey.toPath(), primaryKey)); + } + } + } + + // The key is Tuple<partition path, an incremental number> + public static class NonPreAggPartitionGroupBuffer extends PartitionGroupBuffer { + + private final AtomicLong number; + + private NonPreAggPartitionGroupBuffer( + KVBuffer<Tuple2<String, Long>, RowData> buffer, + PartitionKey partitionKey, + Schema rowSchema) { + super(buffer, partitionKey, rowSchema); + this.number = new AtomicLong(0L); + } + + @Override + public RowData add(RowData row) { + partitionKey.partition(lazyRowDataWrapper().wrap(row)); + allPartition.add(partitionKey.toPath()); + + return ((KVBuffer<Tuple2<String, Long>, RowData>) buffer).put( + new Tuple2<>(partitionKey.toPath(), number.incrementAndGet()), row); + } + + @Override + public void clear() { + super.clear(); + number.set(0L); + } + } + + public static class PreAggPartitionConvertor implements KVBuffer.Convertor<Tuple2<String, RowData>>, Serializable { Review Comment: Please add some comments for it. -- This is an automated message from the Apache Git Service. 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