/* (c) 2014 LinkedIn Corp. All rights reserved.
*
* Licensed 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.
*/
package com.linkedin.cubert.functions.builtin;
import org.apache.pig.backend.executionengine.ExecException;
import org.apache.pig.data.Tuple;
import com.linkedin.cubert.block.BlockSchema;
import com.linkedin.cubert.block.ColumnType;
import com.linkedin.cubert.block.DataType;
import com.linkedin.cubert.functions.Function;
import com.linkedin.cubert.operator.PreconditionException;
import com.linkedin.cubert.operator.PreconditionExceptionType;
/**
* The builtin CASE function.
*
* @author Maneesh Varshney
*
*/
public class Case extends Function
{
private int numCases;
@Override
public Object eval(Tuple tuple) throws ExecException
{
for (int i = 0; i < numCases; i++)
{
Boolean condition = (Boolean) tuple.get(2 * i);
if (condition != null && condition)
return tuple.get(2 * i + 1);
}
return null;
}
@Override
public ColumnType outputSchema(BlockSchema inputSchema) throws PreconditionException
{
numCases = inputSchema.getNumColumns() / 2;
if (numCases == 0)
{
throw new PreconditionException(PreconditionExceptionType.MISC_ERROR,
"Malformed CASE statement: Must have at least 1 case to execute");
}
final ColumnType[] colTypes = new ColumnType[numCases];
boolean allSameTypes = true;
for (int i = 0; i < numCases; i++)
{
colTypes[i] = inputSchema.getColumnType(2 * i + 1);
/* check if all the data types are identical */
if (!colTypes[0].matches(colTypes[i]))
{
allSameTypes = false;
}
}
if (allSameTypes)
{
return colTypes[0];
}
// if not all types are same, then find the widest type
DataType outType = colTypes[0].getType();
for (int i = 1; i < numCases; i++)
{
DataType widerType = DataType.getWiderType(outType, colTypes[i].getType());
if (widerType == null)
{
String msg =
String.format("Incompatible data types in CASE function: %s and %s",
outType,
colTypes[i]);
throw new PreconditionException(PreconditionExceptionType.INVALID_SCHEMA,
msg);
}
outType = widerType;
}
return new ColumnType(null, outType);
}
}