scala

问题 I am running unit tests on Spark 1.3.1 with sbt test and besides the unit tests being incredibly slow I keep running into java.lang.ClassNotFoundException: org.apache.spark.storage.RDDBlockId issues. Usually this means a dependency issue, but I wouldn't know from where. Tried installing everything on a new machine, including fresh hadoop, fresh ivy2, but I still run into the same issue Any help is greatly appreciated Exception: Exception in thread "Driver Heartbeater" java.lang

问题 I am running unit tests on Spark 1.3.1 with sbt test and besides the unit tests being incredibly slow I keep running into java.lang.ClassNotFoundException: org.apache.spark.storage.RDDBlockId issues. Usually this means a dependency issue, but I wouldn't know from where. Tried installing everything on a new machine, including fresh hadoop, fresh ivy2, but I still run into the same issue Any help is greatly appreciated Exception: Exception in thread "Driver Heartbeater" java.lang

问题 We are using the following regex to recognize urls (derived from this gist by Jim Gruber). This is being executed in Scala using scala.util.matching which in turn uses java.util.regex : (?i)\b((?:https?:(?:/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?!js)[a-z]{2,6}/)(?:[^\s()<>{}\[\]]+)(?:[^\s`!()\[\]{};:'".,<>?«»“”‘’])|(?:(?<!@)[a-z0-9]+(?:[.\-][a-z0-9]+)*[.](?!js)[a-z]{2,6}\b/?(?!@))) This version has escaped forward slashes, for Rubular: (?i)\b(((?:https?:(?:\/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?!js)

问题 We are using the following regex to recognize urls (derived from this gist by Jim Gruber). This is being executed in Scala using scala.util.matching which in turn uses java.util.regex : (?i)\b((?:https?:(?:/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?!js)[a-z]{2,6}/)(?:[^\s()<>{}\[\]]+)(?:[^\s`!()\[\]{};:'".,<>?«»“”‘’])|(?:(?<!@)[a-z0-9]+(?:[.\-][a-z0-9]+)*[.](?!js)[a-z]{2,6}\b/?(?!@))) This version has escaped forward slashes, for Rubular: (?i)\b(((?:https?:(?:\/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?!js)

问题 I am writing a quick test that registers a user with the data from a spreadsheet. The idea is Go to the website > click register > Read excel rows A1 and B1 for email and password > use this data on registration site> finish the registration > log out > Register a new user with information from rows A2 and B2 > continue until rows in the spreadsheet are empty. I have managed to automate the registration process with random user information and now I just need to make it do the same with the

问题 Hi I was writing any possible variations of passing a function to map, my initial understanding that they would all produce the same result, but I found that the lines 2, 3, actually produced different output, and line 4 is a mystery to me def g(v: Int) = List(v - 1, v, v + 1) val l = List(1, 2, 3, 4, 5) // map with some variations println(l.map { x => g(x) }) println(l.map { (_: Int) => g(_) }) // line 2 println(l.map { (_) => g(_) }) // line 3 println(l.map { _ => }) // line 4 println(l.map

问题 I am very new to Spark and Scala, I writing Spark SQL code. I am in situation to apply CROSS JOIN and CROSS APPLY in my logic. Here I will post the SQL query which I have to convert to spark SQL. select Table1.Column1,Table2.Column2,Table3.Column3 from Table1 CROSS JOIN Table2 CROSS APPLY Table3 I need the above query to convert in to SQLContext in Spark SQL. Kindly help me. Thanks in Advance. 回答1: First set the below property in spark conf spark.sql.crossJoin.enabled=true then dataFrame1

问题 I am searching for a practical solution for the following problem: An external library provides components as base classes. Custom components are made by extending those base classes. The base classes break when the implementations throw unhandled exceptions. The base classes source code is not available. Only a binary jar. What I am looking for is to have a generic AOP error handling advice. It would wrap the code of every method that is a direct override or implementation of a method from

问题 Spark 2.0.0-preview We've got an app that uses a fairly big broadcast variable. We run this on a big EC2 instance, so deployment is in client-mode. Broadcasted variable is a massive Map[String, Array[String]] . At the end of saveAsTextFile , the output in the folder seems to be complete and correct (apart from .crc files still being there) BUT the spark-submit process is stuck on, seemingly, removing the broadcast variable. The stuck logs look like this: http://pastebin.com/wpTqvArY My last

问题 Scala beginner here, I'm trying to find all the tweets text that contain at least one keyword in the list of keywords given. Where a tweet: case class Tweet(user: String, text: String, retweets: Int) With an example Tweet("user1", "apple apple", 3) Given that wordInTweet should return true if at least one keyword in the list keywords can be found in the tweet's text. I tried implementing it like the following: def wordInTweet(tweet: Tweet, keywords: List[String]): Boolean = { keywords.exists