spark package 源码
spark package 代码
文件路径:/connector/kafka-0-10/src/main/scala/org/apache/spark/streaming/kafka010/package.scala
/*
* 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.spark.streaming
import org.apache.spark.internal.config.ConfigBuilder
/**
* Spark Integration for Kafka 0.10
*/
package object kafka010 { //scalastyle:ignore
private[spark] val CONSUMER_CACHE_ENABLED =
ConfigBuilder("spark.streaming.kafka.consumer.cache.enabled")
.version("2.2.1")
.booleanConf
.createWithDefault(true)
private[spark] val CONSUMER_POLL_MS =
ConfigBuilder("spark.streaming.kafka.consumer.poll.ms")
.version("2.0.1")
.longConf
.createOptional
private[spark] val CONSUMER_CACHE_INITIAL_CAPACITY =
ConfigBuilder("spark.streaming.kafka.consumer.cache.initialCapacity")
.version("2.0.1")
.intConf
.createWithDefault(16)
private[spark] val CONSUMER_CACHE_MAX_CAPACITY =
ConfigBuilder("spark.streaming.kafka.consumer.cache.maxCapacity")
.version("2.0.1")
.intConf
.createWithDefault(64)
private[spark] val CONSUMER_CACHE_LOAD_FACTOR =
ConfigBuilder("spark.streaming.kafka.consumer.cache.loadFactor")
.version("2.0.1")
.doubleConf
.createWithDefault(0.75)
private[spark] val MAX_RATE_PER_PARTITION =
ConfigBuilder("spark.streaming.kafka.maxRatePerPartition")
.version("1.3.0")
.longConf
.createWithDefault(0)
private[spark] val MIN_RATE_PER_PARTITION =
ConfigBuilder("spark.streaming.kafka.minRatePerPartition")
.version("2.4.0")
.longConf
.createWithDefault(1)
private[spark] val ALLOW_NON_CONSECUTIVE_OFFSETS =
ConfigBuilder("spark.streaming.kafka.allowNonConsecutiveOffsets")
.version("2.3.1")
.booleanConf
.createWithDefault(false)
}
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