org.apache.hadoop.hive.ql.exec.vector.VectorLimitOperator Maven / Gradle / Ivy
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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.hadoop.hive.ql.exec.vector;
import org.apache.hadoop.hive.ql.exec.LimitOperator;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.plan.LimitDesc;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
/**
* Limit operator implementation Limits the number of rows to be passed on.
**/
public class VectorLimitOperator extends LimitOperator {
private static final long serialVersionUID = 1L;
public VectorLimitOperator() {
super();
}
public VectorLimitOperator(VectorizationContext vContext, OperatorDesc conf) {
this.conf = (LimitDesc) conf;
}
@Override
public void process(Object row, int tag) throws HiveException {
VectorizedRowBatch batch = (VectorizedRowBatch) row;
if (currCount < limit) {
batch.size = Math.min(batch.size, limit - currCount);
forward(row, inputObjInspectors[tag]);
currCount += batch.size;
} else {
setDone(true);
}
}
}