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[HUDI-3140] Fix bulk_insert failure on Spark 3.2.0 (#4498)

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leesf
2022-01-04 09:59:59 +08:00
committed by GitHub
parent 2b2ae34cb9
commit 29ab6fb9ad
1 changed files with 6 additions and 3 deletions
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9
hudi-spark-datasource/hudi-spark3/src/main/java/org/apache/hudi/spark3/internal/DefaultSource.java
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@@ -31,6 +31,7 @@ import org.apache.spark.sql.connector.expressions.Transform;
import org.apache.spark.sql.types.StructType;
import org.apache.spark.sql.util.CaseInsensitiveStringMap;
import java.util.HashMap;
import java.util.Map;
import static org.apache.hudi.DataSourceUtils.mayBeOverwriteParquetWriteLegacyFormatProp;
@@ -55,11 +56,13 @@ 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)));
// Create a new map as the properties is an unmodifiableMap on Spark 3.2.0
Map<String, String> newProps = new HashMap<>(properties);
// Auto set the value of "hoodie.parquet.writeLegacyFormat.enabled"
mayBeOverwriteParquetWriteLegacyFormatProp(properties, schema);
mayBeOverwriteParquetWriteLegacyFormatProp(newProps, 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);
HoodieWriteConfig config = DataSourceUtils.createHoodieConfig(newProps.get(HoodieWriteConfig.AVRO_SCHEMA_STRING.key()), path, tblName, newProps);
return new HoodieDataSourceInternalTable(instantTime, config, schema, getSparkSession(),
getConfiguration(), properties, populateMetaFields, arePartitionRecordsSorted);
getConfiguration(), newProps, populateMetaFields, arePartitionRecordsSorted);
}
}