[GitHub] [carbondata] jackylk commented on a change in pull request #3488: [CARBONDATA-3599] Support auto ingest data written by Flink

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jackylk commented on a change in pull request #3488: [CARBONDATA-3599] Support auto ingest data written by Flink
URL: https://github.com/apache/carbondata/pull/3488#discussion_r360407178
 
 

 ##########
 File path: integration/spark-common/src/main/scala/org/apache/carbondata/spark/load/DataLoadProcessBuilderOnSpark.scala
 ##########
 @@ -369,6 +378,72 @@ object DataLoadProcessBuilderOnSpark {
     carbonTaskInfo.setTaskId(CarbonUtil.generateUUID())
     ThreadLocalTaskInfo.setCarbonTaskInfo(carbonTaskInfo)
   }
+
+  /**
+   * create CarbonLoadModel for global_sort
+   */
+  def createLoadModelForGlobalSort(
+      sparkSession: SparkSession,
+      carbonTable: CarbonTable
+  ): CarbonLoadModel = {
+    val conf = SparkSQLUtil.sessionState(sparkSession).newHadoopConf()
+    CarbonTableOutputFormat.setDatabaseName(conf, carbonTable.getDatabaseName)
+    CarbonTableOutputFormat.setTableName(conf, carbonTable.getTableName)
+    CarbonTableOutputFormat.setCarbonTable(conf, carbonTable)
+    val fieldList = carbonTable.getCreateOrderColumn
+      .asScala
+      .map { column =>
+        new StructField(column.getColName, column.getDataType)
+      }
+    CarbonTableOutputFormat.setInputSchema(conf, new StructType(fieldList.asJava))
+    val loadModel = CarbonTableOutputFormat.getLoadModel(conf)
+    loadModel.setSerializationNullFormat(
+      TableOptionConstant.SERIALIZATION_NULL_FORMAT.getName + ",\\N")
+    loadModel.setBadRecordsLoggerEnable(
+      TableOptionConstant.BAD_RECORDS_LOGGER_ENABLE.getName + ",false")
+    loadModel.setBadRecordsAction(
+      TableOptionConstant.BAD_RECORDS_ACTION.getName + ",force")
+    loadModel.setIsEmptyDataBadRecord(
+      DataLoadProcessorConstants.IS_EMPTY_DATA_BAD_RECORD + ",false")
+    val globalSortPartitions =
+      carbonTable.getTableInfo.getFactTable.getTableProperties.get("global_sort_partitions")
+    if (globalSortPartitions != null) {
+      loadModel.setGlobalSortPartitions(globalSortPartitions)
+    }
+    loadModel
+  }
+
+  /**
+   * create DataFrame basing on specified splits
+   */
+  def createInputDataFrame(
+      sparkSession: SparkSession,
+      carbonTable: CarbonTable,
+      splits: Seq[InputSplit]
+  ): DataFrame = {
+    val columns = carbonTable
+      .getCreateOrderColumn
+      .asScala
+      .map(_.getColName)
+      .toArray
+    val schema = SparkTypeConverter.createSparkSchema(carbonTable, columns)
+    val rdd: RDD[Row] = new CarbonScanRDD[CarbonRow](
+      sparkSession,
+      columnProjection = new CarbonProjection(columns),
+      null,
+      carbonTable.getAbsoluteTableIdentifier,
+      carbonTable.getTableInfo.serialize,
+      carbonTable.getTableInfo,
+      new CarbonInputMetrics,
+      null,
+      null,
+      classOf[CarbonRowReadSupport],
+      splits.asJava)
+      .map { row =>
+        new GenericRow(row.getData.asInstanceOf[Array[Any]])
+      }
+    sparkSession.createDataFrame(rdd, schema)
 
 Review comment:
   Yes. Since this is fixed in #3515, I suggest first merge this PR then fix it in #3515

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