pengzhiwei2018 commented on a change in pull request #2485: URL: https://github.com/apache/hudi/pull/2485#discussion_r566178932
########## File path: hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/streaming/HoodieStreamSource.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.HoodieStreamSource.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} + +/** + * The Struct Stream Source for Hudi to consume the data by streaming job. + * @param sqlContext + * @param metadataPath + * @param schemaOption + * @param parameters + */ +class HoodieStreamSource( + 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) { Review comment: Yes, it is a spark implement. And it use the FileSystem api call. S3 is compatible with HDFS FileSystem api.[https://docs.cloudera.com/HDPDocuments/HDP3/HDP-3.1.5/bk_cloud-data-access/content/s3-get-started.html](url) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
