org.apache.hadoop.hive.ql.exec.tez.ScaledHeadroomCalculator.java Source code

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Here is the source code for org.apache.hadoop.hive.ql.exec.tez.ScaledHeadroomCalculator.java

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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.tez;

import com.google.common.base.Function;
import com.google.common.collect.Iterables;
import com.google.common.collect.Lists;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.tez.runtime.api.InputInitializerContext;

import java.util.Collections;
import java.util.List;

class ScaledHeadroomCalculator extends QueueHeadroomCalculator {

    private static final Log LOG = LogFactory.getLog(ScaledHeadroomCalculator.class);

    private List<Double> thresholds = Lists.newArrayList();

    @Override
    public void setConf(Configuration conf) {
        super.setConf(conf);
        thresholds = getThresholds(
                HiveConf.getVar(conf, HiveConf.ConfVars.HIVE_AM_SCALED_HEADROOM_CALCULATOR_DISTRIBUTION));
    }

    private List<Double> getThresholds(String distributionString) {
        try {
            List<String> thresholdStrings = Lists.newArrayList(distributionString.split(","));
            List<Double> thresholds = Lists
                    .newArrayList(Iterables.transform(thresholdStrings, new Function<String, Double>() {
                        @Override
                        public Double apply(String input) {
                            return Double.parseDouble(input);
                        }
                    }));
            Collections.sort(thresholds);
            return thresholds;
        } catch (Exception exception) {
            LOG.error(
                    "Could not extract thresholds from string: " + distributionString + ". Switching to defaults: "
                            + HiveConf.ConfVars.HIVE_AM_SCALED_HEADROOM_CALCULATOR_DISTRIBUTION.getDefaultValue(),
                    exception);
            return getThresholds(
                    HiveConf.ConfVars.HIVE_AM_SCALED_HEADROOM_CALCULATOR_DISTRIBUTION.getDefaultValue());
        }

    }

    @Override
    public int getAvailableSlots(InputInitializerContext context) {

        int totalResourceMB = context.getTotalAvailableResource().getMemory();
        int i = 0;
        while (i < thresholds.size() && thresholds.get(i) < (totalResourceMB / (1024))) {
            ++i;
        }

        int usableTotalResourceMB = (int) (totalResourceMB * (1 - i / (thresholds.size() + 1.0)));
        int taskResourceMB = context.getVertexTaskResource().getMemory();

        int availableSlots = usableTotalResourceMB / taskResourceMB;

        LOG.info("ScaledHeadroomCalculator::getAvailableSlots(): totalResourceMB == " + totalResourceMB
                + ", thresholds == " + thresholds + ", usableTotalResourceMB == " + usableTotalResourceMB
                + ", taskResourceMB == " + taskResourceMB + ", availableSlots == " + availableSlots);

        return availableSlots;
    }

}