spark/src/test/java/org/apache/iceberg/spark/TestSparkSchemaUtil.java

/*
 * 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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package org.apache.iceberg.spark;

import java.io.IOException;
import org.apache.iceberg.Schema;
import org.apache.iceberg.types.Types;
import org.junit.Assert;
import org.junit.Test;

import static org.apache.iceberg.types.Types.NestedField.optional;

public class TestSparkSchemaUtil {
  private static final Schema TEST_SCHEMA = new Schema(
      optional(1, "id", Types.IntegerType.get()),
      optional(2, "data", Types.StringType.get())
  );

  @Test
  public void testEstiamteSizeMaxValue() throws IOException {
    Assert.assertEquals("estimateSize returns Long max value", Long.MAX_VALUE,
        SparkSchemaUtil.estimateSize(
            null,
            Long.MAX_VALUE));
  }

  @Test
  public void testEstiamteSizeWithOverflow() throws IOException {
    long tableSize = SparkSchemaUtil.estimateSize(SparkSchemaUtil.convert(TEST_SCHEMA), Long.MAX_VALUE - 1);
    Assert.assertEquals("estimateSize handles overflow", Long.MAX_VALUE, tableSize);
  }

  @Test
  public void testEstiamteSize() throws IOException {
    long tableSize = SparkSchemaUtil.estimateSize(SparkSchemaUtil.convert(TEST_SCHEMA), 1);
    Assert.assertEquals("estimateSize matches with expected approximation", 24, tableSize);
  }
}