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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 "AS IS" BASIS,
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* See the License for the specific language governing permissions and
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package org.apache.beam.runners.spark.structuredstreaming.translation.helpers;
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;
/** A {@link SchemaHelpers} for the Spark Batch Runner. */
public class SchemaHelpers {
private static final StructType BINARY_SCHEMA =
new StructType(
new StructField[] {
StructField.apply("binaryStructField", DataTypes.BinaryType, true, Metadata.empty())
});
public static StructType binarySchema() {
// we use a binary schema for now because:
// using a empty schema raises a indexOutOfBoundsException
// using a NullType schema stores null in the elements
return BINARY_SCHEMA;
}
}