[HUDI-2958] Automatically set spark.sql.parquet.writelegacyformat, when using bulkinsert to insert data which contains decimalType (#4253)

hudi-spark-datasource/hudi-spark3/src/main/java/org/apache/hudi/spark3/internal/DefaultSource.java

@@ -33,6 +33,8 @@ import org.apache.spark.sql.util.CaseInsensitiveStringMap;
 
 import java.util.Map;
 
+import static org.apache.hudi.DataSourceUtils.mayBeOverwriteParquetWriteLegacyFormatProp;
+
 /**
  * DataSource V2 implementation for managing internal write logic. Only called internally.
  * This class is only compatible with datasource V2 API in Spark 3.
@@ -53,6 +55,8 @@ public class DefaultSource extends BaseDefaultSource implements TableProvider {
         HoodieTableConfig.POPULATE_META_FIELDS.defaultValue()));
     boolean arePartitionRecordsSorted = Boolean.parseBoolean(properties.getOrDefault(HoodieInternalConfig.BULKINSERT_ARE_PARTITIONER_RECORDS_SORTED,
         Boolean.toString(HoodieInternalConfig.DEFAULT_BULKINSERT_ARE_PARTITIONER_RECORDS_SORTED)));
+    // Auto set the value of "hoodie.parquet.writeLegacyFormat.enabled"
+    mayBeOverwriteParquetWriteLegacyFormatProp(properties, schema);
     // 1st arg to createHoodieConfig is not really required to be set. but passing it anyways.
     HoodieWriteConfig config = DataSourceUtils.createHoodieConfig(properties.get(HoodieWriteConfig.AVRO_SCHEMA_STRING.key()), path, tblName, properties);
     return new HoodieDataSourceInternalTable(instantTime, config, schema, getSparkSession(),