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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.calcite.adapter.spark;
import org.apache.calcite.adapter.enumerable.EnumerableConvention;
import org.apache.calcite.plan.RelTraitSet;
import org.apache.calcite.rel.RelNode;
import org.apache.calcite.rel.convert.ConverterRule;
/**
* Rule to convert a relational expression from
* {@link org.apache.calcite.adapter.jdbc.JdbcConvention} to
* {@link SparkRel#CONVENTION Spark convention}.
*/
public class EnumerableToSparkConverterRule extends ConverterRule {
public static final EnumerableToSparkConverterRule INSTANCE =
new EnumerableToSparkConverterRule();
private EnumerableToSparkConverterRule() {
super(
RelNode.class, EnumerableConvention.INSTANCE, SparkRel.CONVENTION,
"EnumerableToSparkConverterRule");
}
public RelNode convert(RelNode rel) {
RelTraitSet newTraitSet = rel.getTraitSet().replace(getOutTrait());
return new EnumerableToSparkConverter(
rel.getCluster(), newTraitSet, rel);
}
}
// End EnumerableToSparkConverterRule.java