sparkcore

From the following code how to convert a JavaRDD<Integer> to DataFrame or DataSet

由 笑着哭i 提交于 2020-06-29 03:56:07
问题 public static void main(String[] args) { SparkSession sessn = SparkSession.builder().appName("RDD2DF").master("local").getOrCreate(); List<Integer> lst = Arrays.asList(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20); Dataset<Integer> DF = sessn.createDataset(lst, Encoders.INT()); System.out.println(DF.javaRDD().getNumPartitions()); JavaRDD<Integer> mappartRdd = DF.repartition(3).javaRDD().mapPartitions(it-> Arrays.asList(JavaConversions.asScalaIterator(it).length()).iterator()); } From

python requests equivalent to curl -H

由 …衆ロ難τιáo~ 提交于 2020-01-15 08:23:47
问题 I'm trying to subscribe to an event stream coming from my particle photon. The docs suggest curl -H "Authorization: Bearer {ACCESS_TOKEN_GOES_HERE}" \ https://api.particle.io/v1/events/motion-detected I've tried address3 ='https://api.particle.io/v1/events/motion-detected' data = {'access_token': access_token} r3 = requests.get(address3,params=data) but I get nothing, and I mean nothing, in response I expect a response like: event: motion-detected data: {"data":"intact","ttl":"60","published

python requests equivalent to curl -H

由 删除回忆录丶 提交于 2020-01-15 08:22:10
问题 I'm trying to subscribe to an event stream coming from my particle photon. The docs suggest curl -H "Authorization: Bearer {ACCESS_TOKEN_GOES_HERE}" \ https://api.particle.io/v1/events/motion-detected I've tried address3 ='https://api.particle.io/v1/events/motion-detected' data = {'access_token': access_token} r3 = requests.get(address3,params=data) but I get nothing, and I mean nothing, in response I expect a response like: event: motion-detected data: {"data":"intact","ttl":"60","published

Exception in thread “main” java.lang.NoSuchMethodError: scala.Predef$.refArrayOps( [duplicate]

由 ￡可爱￡侵袭症＋ 提交于 2019-12-08 05:55:24
问题 This question already has answers here : java.lang.NoSuchMethodError: scala.Predef$.refArrayOps (8 answers) Closed 2 years ago . I am new to scala and getting below error for code in INTELLJ can any one please help to resolve it import org.apache.spark.{SparkContext, SparkConf} object wordcount { def main(args: Array[String]) { val conf = new SparkConf() .setMaster("local[*]") .setAppName("TestSpark") .set("spark.executor.memory","2g") val sc = new SparkContext(conf) val a = sc.parallelize

Exception in thread “main” java.lang.NoSuchMethodError: scala.Predef$.refArrayOps( [duplicate]

由 自作多情 提交于 2019-12-06 16:06:37
This question already has answers here : java.lang.NoSuchMethodError: scala.Predef$.refArrayOps (8 answers) Closed 2 years ago . I am new to scala and getting below error for code in INTELLJ can any one please help to resolve it import org.apache.spark.{SparkContext, SparkConf} object wordcount { def main(args: Array[String]) { val conf = new SparkConf() .setMaster("local[*]") .setAppName("TestSpark") .set("spark.executor.memory","2g") val sc = new SparkContext(conf) val a = sc.parallelize(Seq("This is the firstline", "This is the second line", "This is the third line")) val count = a.flatMap
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