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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
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* KIND, either express or implied. See the License for the
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package org.apache.iceberg.spark.source;
import java.util.List;
import org.apache.iceberg.FileFormat;
import org.apache.iceberg.Schema;
import org.apache.iceberg.io.TestWriterFactory;
import org.apache.iceberg.io.WriterFactory;
import org.apache.iceberg.spark.SparkSchemaUtil;
import org.apache.iceberg.util.ArrayUtil;
import org.apache.iceberg.util.StructLikeSet;
import org.apache.spark.sql.catalyst.InternalRow;
import org.apache.spark.sql.catalyst.expressions.GenericInternalRow;
import org.apache.spark.sql.types.StructType;
import org.apache.spark.unsafe.types.UTF8String;
public class TestSparkWriterFactory extends TestWriterFactory<InternalRow> {
public TestSparkWriterFactory(FileFormat fileFormat, boolean partitioned) {
super(fileFormat, partitioned);
}
@Override
protected WriterFactory<InternalRow> newWriterFactory(Schema dataSchema, List<Integer> equalityFieldIds,
Schema equalityDeleteRowSchema,
Schema positionDeleteRowSchema) {
return SparkWriterFactory.builderFor(table)
.dataSchema(table.schema())
.dataFileFormat(format())
.deleteFileFormat(format())
.equalityFieldIds(ArrayUtil.toIntArray(equalityFieldIds))
.equalityDeleteRowSchema(equalityDeleteRowSchema)
.positionDeleteRowSchema(positionDeleteRowSchema)
.build();
}
@Override
protected InternalRow toRow(Integer id, String data) {
InternalRow row = new GenericInternalRow(2);
row.update(0, id);
row.update(1, UTF8String.fromString(data));
return row;
}
@Override
protected StructLikeSet toSet(Iterable<InternalRow> rows) {
StructLikeSet set = StructLikeSet.create(table.schema().asStruct());
StructType sparkType = SparkSchemaUtil.convert(table.schema());
for (InternalRow row : rows) {
InternalRowWrapper wrapper = new InternalRowWrapper(sparkType);
set.add(wrapper.wrap(row));
}
return set;
}
}