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[HUDI-223] Adding a way to infer target schema from the dataset after the transformation (#854)

- Adding a way to decouple target and source schema providers
- Adding flattening transformer
This commit is contained in:
Alexander Filipchik
2019-08-28 04:48:38 -07:00
committed by vinoth chandar
parent 78e0721507
commit e0ab89b3ac
4 changed files with 194 additions and 5 deletions

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package org.apache.hudi.utilities;
import static org.junit.Assert.assertEquals;
import org.apache.hudi.utilities.transform.FlatteningTransformer;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.sql.types.Metadata;
import org.apache.spark.sql.types.StructField;
import org.apache.spark.sql.types.StructType;
import org.junit.Test;
public class TestFlatteningTransformer {
@Test
public void testFlatten() {
FlatteningTransformer transformer = new FlatteningTransformer();
// Init
StructField[] nestedStructFields = new StructField[]{
new StructField("nestedIntColumn", DataTypes.IntegerType, true, Metadata.empty()),
new StructField("nestedStringColumn", DataTypes.StringType, true, Metadata.empty()),
};
StructField[] structFields = new StructField[]{
new StructField("intColumn", DataTypes.IntegerType, true, Metadata.empty()),
new StructField("stringColumn", DataTypes.StringType, true, Metadata.empty()),
new StructField("nestedStruct", DataTypes.createStructType(nestedStructFields), true, Metadata.empty())
};
StructType schema = new StructType(structFields);
String flattenedSql = transformer.flattenSchema(schema, null);
assertEquals("intColumn as intColumn,stringColumn as stringColumn,"
+ "nestedStruct.nestedIntColumn as nestedStruct_nestedIntColumn,"
+ "nestedStruct.nestedStringColumn as nestedStruct_nestedStringColumn",
flattenedSql);
}
}