pengzhiwei2018 commented on a change in pull request #2485: URL: https://github.com/apache/hudi/pull/2485#discussion_r565128033
########## File path: hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/streaming/HoodieSource.scala ########## @@ -0,0 +1,185 @@ +/* + * 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.hudi.streaming + +import java.io.{BufferedWriter, InputStream, InputStreamReader, OutputStream, OutputStreamWriter} +import java.nio.charset.StandardCharsets +import java.util.Date + +import org.apache.commons.io.IOUtils +import org.apache.hadoop.fs.Path +import org.apache.hudi.{DataSourceReadOptions, IncrementalRelation, MergeOnReadIncrementalRelation} +import org.apache.hudi.common.model.HoodieTableType +import org.apache.hudi.common.table.timeline.HoodieActiveTimeline +import org.apache.hudi.common.table.{HoodieTableMetaClient, TableSchemaResolver} +import org.apache.hudi.common.util.TablePathUtils +import org.apache.spark.sql.hudi.streaming.HoodieSource.VERSION +import org.apache.spark.sql.hudi.streaming.HoodieSourceOffset.INIT_OFFSET +import org.apache.spark.internal.Logging +import org.apache.spark.rdd.RDD +import org.apache.spark.sql.avro.SchemaConverters +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.catalyst.encoders.RowEncoder +import org.apache.spark.sql.execution.streaming.{HDFSMetadataLog, Offset, Source} +import org.apache.spark.sql.sources.Filter +import org.apache.spark.sql.types.StructType +import org.apache.spark.sql.{DataFrame, SQLContext} + +/** + * Struct Stream Source for Hudi. + * @param sqlContext + * @param metadataPath + * @param schemaOption + * @param parameters + */ +class HoodieSource( + sqlContext: SQLContext, + metadataPath: String, + schemaOption: Option[StructType], + parameters: Map[String, String]) + extends Source with Logging with Serializable { + + @transient private val hadoopConf = sqlContext.sparkSession.sessionState.newHadoopConf() + private lazy val tablePath: Path = { + val path = new Path(parameters.getOrElse("path", "Missing 'path' option")) + val fs = path.getFileSystem(hadoopConf) + TablePathUtils.getTablePath(fs, path).get() + } + @transient private lazy val metaClient = new HoodieTableMetaClient(hadoopConf, tablePath.toString) + private lazy val tableType = metaClient.getTableType + + @transient private var lastOffset: HoodieSourceOffset = _ + @transient private lazy val initialPartitionOffsets = { + val metadataLog = + new HDFSMetadataLog[HoodieSourceOffset](sqlContext.sparkSession, metadataPath) { + override def serialize(metadata: HoodieSourceOffset, out: OutputStream): Unit = { + val writer = new BufferedWriter(new OutputStreamWriter(out, StandardCharsets.UTF_8)) + writer.write("v" + VERSION + "\n") + writer.write(metadata.json) + writer.flush() + } + + override def deserialize(in: InputStream): HoodieSourceOffset = { + val content = IOUtils.toString(new InputStreamReader(in, StandardCharsets.UTF_8)) + + val firstLineEnd = content.indexOf("\n") + if (firstLineEnd > 0) { + val version = getVersion(content.substring(0, firstLineEnd)) + if (version > VERSION) { + throw new IllegalStateException(s"UnSupportVersion: max support version is: $VERSION" + + s" current version is: $version") + } + HoodieSourceOffset.fromJson(content.substring(firstLineEnd + 1)) + } else { + throw new IllegalStateException(s"Bad metadata format, failed to find the version line.") + } + } + } + metadataLog.get(0).getOrElse { + metadataLog.add(0, INIT_OFFSET) + INIT_OFFSET + } + } + + private def getVersion(versionLine: String): Int = { + if (versionLine.startsWith("v")) { + versionLine.substring(1).toInt + } else { + throw new IllegalStateException(s"Illegal version line: $versionLine " + + s"in the streaming metadata path") + } + } + + override def schema: StructType = { + schemaOption.getOrElse { + val schemaUtil = new TableSchemaResolver(metaClient) + SchemaConverters.toSqlType(schemaUtil.getTableAvroSchema) + .dataType.asInstanceOf[StructType] + } + } + + override def getOffset: Option[Offset] = { + initialPartitionOffsets + + metaClient.reloadActiveTimeline() + val activeInstants = metaClient.getActiveTimeline.getCommitsTimeline.filterCompletedInstants + if (!activeInstants.empty()) { + val currentLatestCommitTime = activeInstants.lastInstant().get().getTimestamp + if (lastOffset == null || currentLatestCommitTime > lastOffset.commitTime) { + lastOffset = HoodieSourceOffset(currentLatestCommitTime) + } + } else { // if there are no active commits, use the init offset + lastOffset = initialPartitionOffsets + } + Some(lastOffset) + } + + override def getBatch(start: Option[Offset], end: Offset): DataFrame = { + initialPartitionOffsets + + val startOffset = start.map(HoodieSourceOffset(_)) + .getOrElse(initialPartitionOffsets) + val endOffset = HoodieSourceOffset(end) + + if (startOffset == endOffset) { + sqlContext.internalCreateDataFrame( + sqlContext.sparkContext.emptyRDD[InternalRow].setName("empty"), schema, isStreaming = true) + } else { + // Consume the data between (startCommitTime, endCommitTime] + val incParams = parameters ++ Map( + DataSourceReadOptions.BEGIN_INSTANTTIME_OPT_KEY -> startCommitTime(startOffset), + DataSourceReadOptions.END_INSTANTTIME_OPT_KEY -> endOffset.commitTime + ) + + val rdd = tableType match { + case HoodieTableType.COPY_ON_WRITE => + val encoder = RowEncoder(schema) + new IncrementalRelation(sqlContext, incParams, schema, metaClient) + .buildScan() + .map(encoder.toRow) + case HoodieTableType.MERGE_ON_READ => + val requiredColumns = schema.fields.map(_.name) + new MergeOnReadIncrementalRelation(sqlContext, incParams, schema, metaClient) + .buildScan(requiredColumns, Array.empty[Filter]) + .asInstanceOf[RDD[InternalRow]] + case _ => throw new IllegalArgumentException(s"UnSupport tableType: $tableType") + } + sqlContext.internalCreateDataFrame(rdd, schema, isStreaming = true) + } + } + + private def startCommitTime(startOffset: HoodieSourceOffset): String = { + startOffset match { + case INIT_OFFSET => startOffset.commitTime + case HoodieSourceOffset(commitTime) => + val time = HoodieActiveTimeline.COMMIT_FORMATTER.parse(commitTime).getTime + // As we consume the data between (start, end], start is not included, + // so we +1s to the start commit time here. + HoodieActiveTimeline.COMMIT_FORMATTER.format(new Date(time + 1000)) + case _=> throw new IllegalStateException("UnKnow offset type.") + } + } + + override def stop(): Unit = { + + } +} + +object HoodieSource { + val VERSION = 1 Review comment: Yes, it is the first version number of this source. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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