Hi, the RDD class does not have an exist()-method (in the Scala API), but the functionality you need seems easy to resemble with the existing methods:
val containsNMatchingElements = data.filter(qualifying_function).take(n).count() >= n Note: I am not sure whether the intermediate take(n) really increases performance, but the idea is to arbitrarily reduce the number of elements in the RDD before counting because we are not interested in the full count. If you need to check specifically whether there is at least one matching occurrence, it is probably preferable to use isEmpty() instead of count() and check whether the result is false: val contains1MatchingElement = !(data.filter(qualifying_function).isEmpty()) Best, Carsten Am 31.07.2015 um 11:11 schrieb Sandeep Giri: > Dear Spark Dev Community, > > I am wondering if there is already a function to solve my problem. If > not, then should I work on this? > > Say you just want to check if a word exists in a huge text file. I could > not find better ways than those mentioned here > <http://www.knowbigdata.com/blog/interview-questions-apache-spark-part-2#q6>. > > So, I was proposing if we have a function called /exists /in RDD with > the following signature: > > #returns the true if n elements exist which qualify our criteria. > #qualifying function would receive the element and its index and return > true or false. > def /exists/(qualifying_function, n): > .... > > > Regards, > Sandeep Giri, > +1 347 781 4573 (US) > +91-953-899-8962 (IN) > > www.KnowBigData.com. <http://KnowBigData.com.> > Phone: +1-253-397-1945 (Office) > > linkedin icon <https://linkedin.com/company/knowbigdata> other site icon > <http://knowbigdata.com> facebook icon > <https://facebook.com/knowbigdata>twitter icon > <https://twitter.com/IKnowBigData><https://twitter.com/IKnowBigData> > -- Carsten Schnober Doctoral Researcher Ubiquitous Knowledge Processing (UKP) Lab FB 20 / Computer Science Department Technische Universität Darmstadt Hochschulstr. 10, D-64289 Darmstadt, Germany phone [+49] (0)6151 16-6227, fax -5455, room S2/02/B111 schno...@ukp.informatik.tu-darmstadt.de www.ukp.tu-darmstadt.de Web Research at TU Darmstadt (WeRC): www.werc.tu-darmstadt.de GRK 1994: Adaptive Preparation of Information from Heterogeneous Sources (AIPHES): www.aiphes.tu-darmstadt.de PhD program: Knowledge Discovery in Scientific Literature (KDSL) www.kdsl.tu-darmstadt.de --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
