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In general, when we use datasetGeneral data typesStaticencoderbyte[]> BINARY () an encoder forarrays of bytes.StaticEncoder forNullableBooleantype.StaticEncoder forNullablebytetype.StaticEncoder fornullable date type.StaticEncoder fornullable decimal type.StaticEncoder forNullableDoubletype.StaticEncoder forNullablefloattype.StaticEncoder forNullableinttype.StaticEncoder forNullableLongtype.StaticEncoder forNullable Shorttype.StaticEncoder fornullable string type.StaticEncoder forNullable timest
, StringDecoder](ssc, kafkaParams, topicMap, StorageLevel.MEMORY_AND_DISK_SER).map(_._2)There are still data loss issues after opening WalEven if the Wal is officially set, there will still be data loss, why? Because the task is receiver also forced to terminate when interrupted, will cause data loss, prompted as follows:0: Stopped by driverWARN BlockGenerator: Cannot stop BlockGenerator as its not in the Active state [state = StoppedAll]WARN BatchedWriteAheadLog: BatchedWriteAheadLog Writer que
Kafka Consumer API Example 1. Auto-confirm OffsetDescription Reference: http://blog.csdn.net/xianzhen376/article/details/51167333Properties Props = new properties ();/* Defines the address of the KAKFA service and does not require all brokers to be specified on */props. put ("Bootstrap.servers","localhost:9092");/* Develop co
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calculated value, and to get the latest heat value.Call the Updatestatebykey primitive and pass in the anonymous function defined above to update the Web page heat value.Finally, after the latest results, you need to sort the results, and finally print the maximum heat value of the 10 pages.The source code is as follows.Webpagepopularityvaluecalculator Type Source code
Import org.apache.spark.SparkConf Import org.apache.spark.streaming.Seconds Import Org.apache.spark.streaming.StreamingContext
There have also been recent studies using spark streaming for streaming. This article is a simple example of how to do spark streaming programming with the flow-based count of word counts.1. Dependent jar PackagesRefer to the arti
Spark Streaming Application Simple example
Package Com.orc.stream
Import org.apache.spark.{ sparkconf, Sparkcontext}
import org.apache.spark.streaming.{ Seconds, StreamingContext}
/**
* Created by Dengni on 2016/9/15. Today also are mid-Autumn Festival
* Scala 2.10.4 ; 2.11.X not Works
* Use method:
crossvalidator is very high, however, compared with heuristic manual validation, cross-validation is still a very useful parameter selection method in existence.
Scala:
Import org.apache.spark.ml.Pipeline Import org.apache.spark.ml.classification.LogisticRegression Import Org.apache.spark.ml.evaluation.BinaryClassificationEvaluator import org.apache.spark.ml.feature. {HASHINGTF, tokenizer} import org.apache.spark.ml.linalg.Vector import org.apache.s
processing data is time4 and Time5;invreducefunc processing data is time1 and time2. Special special handling is needed here, window at time 5 to understand the last moment of time 5, if the time here is a second, then time 5 is actually the 5th second last moment, that is, the first 6 seconds. This will be explained in detail later in the blog post.The key point is almost explained, Reducefunc's function is good to understand, the function of the first parameter reduced can be understood as ti
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