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

This commit is contained in:
xiarixiaoyao
2021-12-17 21:58:02 +08:00
committed by GitHub
parent e4cfb421c0
commit 9246b16492
6 changed files with 115 additions and 1 deletions

View File

@@ -33,8 +33,11 @@ import org.apache.spark.sql.sources.v2.reader.DataSourceReader;
import org.apache.spark.sql.sources.v2.writer.DataSourceWriter;
import org.apache.spark.sql.types.StructType;
import java.util.Map;
import java.util.Optional;
import static org.apache.hudi.DataSourceUtils.mayBeOverwriteParquetWriteLegacyFormatProp;
/**
* DataSource V2 implementation for managing internal write logic. Only called internally.
*/
@@ -64,8 +67,11 @@ public class DefaultSource extends BaseDefaultSource implements DataSourceV2,
String tblName = options.get(HoodieWriteConfig.TBL_NAME.key()).get();
boolean populateMetaFields = options.getBoolean(HoodieTableConfig.POPULATE_META_FIELDS.key(),
Boolean.parseBoolean(HoodieTableConfig.POPULATE_META_FIELDS.defaultValue()));
Map<String, String> properties = options.asMap();
// 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(options.get(HoodieWriteConfig.AVRO_SCHEMA_STRING.key()).get(), path, tblName, options.asMap());
HoodieWriteConfig config = DataSourceUtils.createHoodieConfig(options.get(HoodieWriteConfig.AVRO_SCHEMA_STRING.key()).get(), path, tblName, properties);
boolean arePartitionRecordsSorted = HoodieInternalConfig.getBulkInsertIsPartitionRecordsSorted(
options.get(HoodieInternalConfig.BULKINSERT_ARE_PARTITIONER_RECORDS_SORTED).isPresent()
? options.get(HoodieInternalConfig.BULKINSERT_ARE_PARTITIONER_RECORDS_SORTED).get() : null);