[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
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committed by
vinoth chandar
parent
78e0721507
commit
e0ab89b3ac
@@ -0,0 +1,56 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hudi.utilities;
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import static org.junit.Assert.assertEquals;
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import org.apache.hudi.utilities.transform.FlatteningTransformer;
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import org.apache.spark.sql.types.DataTypes;
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import org.apache.spark.sql.types.Metadata;
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import org.apache.spark.sql.types.StructField;
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import org.apache.spark.sql.types.StructType;
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import org.junit.Test;
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public class TestFlatteningTransformer {
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@Test
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public void testFlatten() {
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FlatteningTransformer transformer = new FlatteningTransformer();
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// Init
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StructField[] nestedStructFields = new StructField[]{
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new StructField("nestedIntColumn", DataTypes.IntegerType, true, Metadata.empty()),
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new StructField("nestedStringColumn", DataTypes.StringType, true, Metadata.empty()),
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};
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StructField[] structFields = new StructField[]{
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new StructField("intColumn", DataTypes.IntegerType, true, Metadata.empty()),
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new StructField("stringColumn", DataTypes.StringType, true, Metadata.empty()),
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new StructField("nestedStruct", DataTypes.createStructType(nestedStructFields), true, Metadata.empty())
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};
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StructType schema = new StructType(structFields);
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String flattenedSql = transformer.flattenSchema(schema, null);
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assertEquals("intColumn as intColumn,stringColumn as stringColumn,"
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+ "nestedStruct.nestedIntColumn as nestedStruct_nestedIntColumn,"
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+ "nestedStruct.nestedStringColumn as nestedStruct_nestedStringColumn",
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flattenedSql);
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}
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}
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