chenboat commented on code in PR #13748:
URL: https://github.com/apache/pinot/pull/13748#discussion_r1706234250


##########
pinot-connectors/pinot-spark-3-connector/src/main/scala/org/apache/pinot/connector/spark/v3/datasource/PinotDataWriter.scala:
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@@ -0,0 +1,246 @@
+/**
+ * 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.pinot.connector.spark.v3.datasource
+
+import org.apache.commons.io.FileUtils
+import org.apache.pinot.common.utils.TarGzCompressionUtils
+import org.apache.pinot.connector.spark.common.PinotDataSourceWriteOptions
+import org.apache.spark.sql.connector.write.{DataWriter, WriterCommitMessage}
+import 
org.apache.pinot.segment.local.segment.creator.impl.SegmentIndexCreationDriverImpl
+import org.apache.pinot.segment.spi.creator.SegmentGeneratorConfig
+import org.apache.pinot.spi.config.table.{IndexingConfig, 
SegmentsValidationAndRetentionConfig, TableConfig, TableCustomConfig, 
TenantConfig}
+import org.apache.pinot.spi.data.readers.GenericRow
+import org.apache.pinot.spi.data.Schema
+import org.apache.pinot.spi.ingestion.batch.spec.Constants
+import org.apache.pinot.spi.utils.DataSizeUtils
+import org.apache.spark.sql.catalyst
+import org.apache.spark.sql.types.StructType
+import org.slf4j.{Logger, LoggerFactory}
+
+import java.io.File
+import java.nio.file.Files
+import java.util.regex.Pattern
+
+class PinotDataWriter[InternalRow](
+                                    partitionId: Int,
+                                    taskId: Long,
+                                    writeOptions: PinotDataSourceWriteOptions,
+                                    writeSchema: StructType,
+                                    pinotSchema: Schema)
+  extends DataWriter[org.apache.spark.sql.catalyst.InternalRow] with 
AutoCloseable {
+  private val logger: Logger = 
LoggerFactory.getLogger(classOf[PinotDataWriter[InternalRow]])
+  logger.info("PinotDataWriter created with writeOptions: {}, partitionId: {}, 
taskId: {}",
+    (writeOptions, partitionId, taskId))
+
+  val tableName: String = writeOptions.tableName
+  val savePath: String = writeOptions.savePath
+  val bufferedRecordReader: PinotBufferedRecordReader = new 
PinotBufferedRecordReader()
+
+  override def write(record: catalyst.InternalRow): Unit = {
+    bufferedRecordReader.write(internalRowToGenericRow(record))
+  }
+
+  override def commit(): WriterCommitMessage = {
+    val segmentName = getSegmentName
+    val segmentDir = generateSegment(segmentName)
+    val segmentTarFile = tarSegmentDir(segmentName, segmentDir)
+    pushSegmentTarFile(segmentTarFile)
+    new SuccessWriterCommitMessage(segmentName)
+  }
+
+  // This method is used to generate the segment name based on the format 
provided in the write options
+  // The format can contain variables like {partitionId}
+  // Currently supported variables are `partitionId`, `table`
+  // It also supports the following, python inspired format specifier for 
digit formatting:
+  //  `{partitionId:05}`
+  // which will zero pad partitionId up to five characters.
+  //
+  // Some examples:

Review Comment:
   These examples suggest that there are two possible formats: one with 
partition id in front and the other with partition id after table name. Are 
these the ONLY two options allowed? Just curious why supporting 2 instead of 1? 



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