linliu-code commented on code in PR #18224: URL: https://github.com/apache/hudi/pull/18224#discussion_r2911489581
########## hudi-utilities/src/main/java/org/apache/hudi/utilities/sources/KinesisSource.java: ########## @@ -0,0 +1,114 @@ +/* + * 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.hudi.utilities.sources; + +import org.apache.hudi.common.config.TypedProperties; +import org.apache.hudi.common.table.checkpoint.Checkpoint; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.utilities.config.KinesisSourceConfig; +import org.apache.hudi.utilities.ingestion.HoodieIngestionMetrics; +import org.apache.hudi.utilities.schema.SchemaProvider; +import org.apache.hudi.utilities.sources.helpers.KinesisOffsetGen; +import org.apache.hudi.utilities.streamer.StreamContext; + +import lombok.extern.slf4j.Slf4j; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.sql.SparkSession; + +import java.util.Arrays; +import java.util.Map; + +import static org.apache.hudi.common.util.ConfigUtils.getBooleanWithAltKeys; + +@Slf4j +public abstract class KinesisSource<T> extends Source<T> { + + protected static final String METRIC_NAME_KINESIS_MESSAGE_IN_COUNT = "kinesisMessageInCount"; + + protected final HoodieIngestionMetrics metrics; + protected final SchemaProvider schemaProvider; + protected KinesisOffsetGen offsetGen; + protected final boolean shouldAddOffsets; + /** Checkpoint data (shardId -> sequenceNumber) collected during toBatch execution. Set by subclasses. */ + protected Map<String, String> lastCheckpointData; + + protected KinesisSource(TypedProperties props, JavaSparkContext sparkContext, SparkSession sparkSession, + SourceType sourceType, HoodieIngestionMetrics metrics, StreamContext streamContext) { + super(props, sparkContext, sparkSession, sourceType, streamContext); + this.schemaProvider = streamContext.getSchemaProvider(); + this.metrics = metrics; + this.shouldAddOffsets = getBooleanWithAltKeys(props, KinesisSourceConfig.KINESIS_APPEND_OFFSETS); + } + + @Override + protected final InputBatch<T> fetchNewData(Option<String> lastCkptStr, long sourceLimit) { + throw new UnsupportedOperationException("KinesisSource#fetchNewData should not be called"); + } + + @Override + protected InputBatch<T> readFromCheckpoint(Option<Checkpoint> lastCheckpoint, long sourceLimit) { + KinesisOffsetGen.KinesisShardRange[] shardRanges = offsetGen.getNextShardRanges( + lastCheckpoint, sourceLimit, metrics); + + // Filter out shards with no unread records to avoid unnecessary GetRecords calls + boolean useLatestWhenNoCheckpoint = + offsetGen.getStartingPosition() == KinesisSourceConfig.KinesisStartingPosition.LATEST; + KinesisOffsetGen.KinesisShardRange[] allShardRanges = shardRanges; + int beforeFilter = shardRanges.length; + shardRanges = Arrays.stream(shardRanges) + .filter(range -> range.hasUnreadRecords(useLatestWhenNoCheckpoint)) + .toArray(KinesisOffsetGen.KinesisShardRange[]::new); + if (beforeFilter > shardRanges.length) { + log.info("Filtered {} shards with no unread records, {} shards remain", + beforeFilter - shardRanges.length, shardRanges.length); + } + + if (shardRanges.length == 0) { + metrics.updateStreamerSourceNewMessageCount(METRIC_NAME_KINESIS_MESSAGE_IN_COUNT, 0); + String checkpointStr = lastCheckpoint.isPresent() ? lastCheckpoint.get().getCheckpointKey() : ""; + return new InputBatch<>(Option.empty(), checkpointStr); + } + + T batch = toBatch(shardRanges); + // Pass allShardRanges so filtered-out shards are preserved in the checkpoint; otherwise + // next run would re-read them from TRIM_HORIZON and cause duplicates + String checkpointStr = createCheckpointFromBatch(batch, shardRanges, allShardRanges); + long totalMsgs = getRecordCount(batch); + metrics.updateStreamerSourceNewMessageCount(METRIC_NAME_KINESIS_MESSAGE_IN_COUNT, totalMsgs); + + log.info("Read {} records from Kinesis stream {} with {} shards, checkpoint: {}", + totalMsgs, offsetGen.getStreamName(), shardRanges.length, checkpointStr); + + return new InputBatch<>(Option.of(batch), checkpointStr); + } + + protected abstract T toBatch(KinesisOffsetGen.KinesisShardRange[] shardRanges); + + /** + * Create checkpoint string from the batch and shard ranges. + * Subclasses provide checkpoint data (shardId -> sequenceNumber) collected during the read. + * Must include both read shards (from shardRangesRead) and filtered shards (from allShardRanges) + * so the next run does not re-read filtered-out shards from TRIM_HORIZON. + */ + protected abstract String createCheckpointFromBatch(T batch, + KinesisOffsetGen.KinesisShardRange[] shardRangesRead, + KinesisOffsetGen.KinesisShardRange[] allShardRanges); Review Comment: done. -- This is an automated message from the Apache Git Service. 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