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/*
 * Copyright (C) 2019 The Flowman Authors
 *
 * 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.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.dimajix.spark.accumulator

import scala.collection.mutable

import org.apache.spark.util.AccumulatorV2


class CounterAccumulator() extends AccumulatorV2[String, Map[String, Long]] {

    private val counters = mutable.Map[String, Long]().withDefaultValue(0)

    /**
     * Returns true if this accumulator is zero, i.e. if it doesn't contain any values
     *
     * @return
     */
    override def isZero: Boolean = {
        counters.synchronized {
            counters.keySet.isEmpty
        }
    }

    /**
     * Creates a copy of this accumulator
     *
     * @return
     */
    override def copy(): CounterAccumulator = {
        val newAccumulator = new CounterAccumulator()
        counters.synchronized {
            for ((key, value) <- counters) {
                newAccumulator.counters.update(key, value)
            }
        }
        newAccumulator
    }

    /**
     * Resets this accumulator to its zero value
     */
    override def reset(): Unit = {
        counters.synchronized {
            counters.clear()
        }
    }

    /**
     * Adds a new value to this accumulator. This will increase the counter of the specified name
     *
     * @param name
     */
    override def add(name: String): Unit = {
        counters.synchronized {
            counters.update(name, counters(name) + 1)
        }
    }

    /**
     * Adds a whole map of key-value pairs. Since this requires a single synchronisation section, this will be
     * faster than calling multiple single add methods sequentially
     *
     * @param values
     */
    def add(values: Map[String, Long]): Unit = {
        counters.synchronized {
            for ((key, value) <- values) {
                counters.update(key, counters(key) + value)
            }
        }
    }

    /**
     * Removed a specific entry from the counter accumulator (thereby resetting it to zero)
     * @param name
     */
    def remove(name: String): Unit = {
        counters.synchronized {
            counters.remove(name)
        }
    }

    /**
     * Merges in the values of another accumulator
     *
     * @param otherAccumulator
     */
    override def merge(otherAccumulator: AccumulatorV2[String, Map[String, Long]]): Unit = {
        val otherCounters = otherAccumulator.value
        counters.synchronized {
            for ((key, value) <- otherCounters) {
                counters.update(key, counters(key) + value)
            }
        }
    }

    /**
     * Returns the current value of this accumulator
     *
     * @return
     */
    override def value: Map[String, Long] = {
        counters.synchronized {
            counters.toMap
        }
    }

    /**
     * Returns the counter for a single name. If no information is available, None will be returned
     *
     * @param name
     * @return
     */
    def get(name: String): Option[Long] = {
        counters.synchronized {
            counters.get(name)
        }
    }
}




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