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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,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.cassandra.cql3.functions.masking;
import java.nio.ByteBuffer;
import java.util.List;
import com.google.common.collect.ObjectArrays;
import org.apache.cassandra.cql3.functions.FunctionFactory;
import org.apache.cassandra.cql3.functions.FunctionName;
import org.apache.cassandra.cql3.functions.FunctionParameter;
import org.apache.cassandra.cql3.functions.NativeScalarFunction;
import org.apache.cassandra.db.marshal.AbstractType;
import org.apache.cassandra.transport.ProtocolVersion;
/**
* A {@link NativeScalarFunction} that totally or partially replaces the original value of a column value,
* meant to obscure the real value of the column.
* <p>
* The names of all masking functions share a common prefix, {@link MaskingFunction#NAME_PREFIX}, to easily identify
* their purpose.
*/
public abstract class MaskingFunction extends NativeScalarFunction
{
/** The common prefix for the names of all the native data masking functions. */
public static final String NAME_PREFIX = "mask_";
/**
* @param name the name of the function
* @param outputType the type of the values returned by the function
* @param inputType the type of the values accepted by the function, always be the first argument of the function
* @param argsType the type of the additional arguments of the function
*/
protected MaskingFunction(FunctionName name,
AbstractType<?> outputType,
AbstractType<?> inputType,
AbstractType<?>... argsType)
{
super(name.name, outputType, ObjectArrays.concat(inputType, argsType));
}
@Override
public final ByteBuffer execute(ProtocolVersion protocolVersion, List<ByteBuffer> parameters)
{
ByteBuffer[] partialParameters = new ByteBuffer[parameters.size() - 1];
for (int i = 0; i < partialParameters.length; i++)
partialParameters[i] = parameters.get(i + 1);
return masker(partialParameters).mask(parameters.get(0));
}
/**
* Returns a new {@link Masker} for the specified masking parameters.
* This is meant to be used by {@link ColumnMask}, so it doesn't need to evaluate the arguments on every call.
*
* @param parameters the masking parameters in the function call.
* @return a new {@link Masker} using the specified masking arguments
*/
public abstract Masker masker(ByteBuffer... parameters);
/**
* Class that actually makes the masking of the first function parameter according to the masking arguments.
*/
public interface Masker
{
public ByteBuffer mask(ByteBuffer value);
}
protected static abstract class Factory extends FunctionFactory
{
public Factory(String name, FunctionParameter... parameters)
{
super(NAME_PREFIX + name.toLowerCase(), parameters);
}
}
}