JoyJoyJo commented on issue #12561:
URL: https://github.com/apache/hudi/issues/12561#issuecomment-2570661233
I think I found the main cause. When Spark executed clustering using row
writer (`hoodie.datasource.write.row.writer.enable = true`), it read records
through `HadoopFSRelation` and passed a nullable schema. The code is shown as
below:
```Scala
// Spark-sql_2.12-3.5.3
// DataSource(line: 414）
HadoopFsRelation(
fileCatalog,
partitionSchema = partitionSchema,
dataSchema = dataSchema.asNullable,
bucketSpec = bucketSpec,
format,
caseInsensitiveOptions)(sparkSession)
```
And Spark save these records into parquet file using the same schema.
```Scala
// Hudi: master
// HoodieDatasetBulkInsertHelper(lines: 150)
def bulkInsert(dataset: Dataset[Row],
instantTime: String,
table: HoodieTable[_, _, _, _],
writeConfig: HoodieWriteConfig,
arePartitionRecordsSorted: Boolean,
shouldPreserveHoodieMetadata: Boolean):
HoodieData[WriteStatus] = {
val schema = dataset.schema
HoodieJavaRDD.of(
injectSQLConf(dataset.queryExecution.toRdd.mapPartitions(iter => {
val taskContextSupplier: TaskContextSupplier =
table.getTaskContextSupplier
val taskPartitionId = taskContextSupplier.getPartitionIdSupplier.get
val taskId = taskContextSupplier.getStageIdSupplier.get.toLong
val taskEpochId = taskContextSupplier.getAttemptIdSupplier.get
...
}
```
The row writer changed the schema when read records which lead to the schema
confilct later.
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