/*
// 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 net.hydromatic.optiq.impl.spark;
import net.hydromatic.optiq.impl.jdbc.JdbcConvention;
import org.eigenbase.rel.RelNode;
import org.eigenbase.rel.convert.ConverterRule;
import org.eigenbase.relopt.RelTraitSet;
/**
* Rule to convert a relational expression from
* {@link net.hydromatic.optiq.impl.jdbc.JdbcConvention} to
* {@link net.hydromatic.optiq.impl.spark.SparkRel#CONVENTION Spark convention}.
*/
public class JdbcToSparkConverterRule extends ConverterRule {
JdbcToSparkConverterRule(JdbcConvention out) {
super(
RelNode.class,
out, SparkRel.CONVENTION,
"JdbcToSparkConverterRule");
}
@Override
public RelNode convert(RelNode rel) {
RelTraitSet newTraitSet = rel.getTraitSet().replace(getOutTrait());
return new JdbcToSparkConverter(rel.getCluster(), newTraitSet, rel);
}
}
// End JdbcToSparkConverterRule.java