spark 1.4.1 hadoop 2.6.0 centos 6.6
At 2015-10-31 23:14:46, "Ted Yu" <yuzhih...@gmail.com> wrote: Which Spark release are you using ? Which OS ? Thanks On Sat, Oct 31, 2015 at 5:18 AM, hotdog <lisend...@163.com> wrote: I meet a situation: When I use val a = rdd.pipe("./my_cpp_program").persist() a.count() // just use it to persist a val b = a.map(s => (s, 1)).reduceByKey().count() it 's so fast but when I use val b = rdd.pipe("./my_cpp_program").map(s => (s, 1)).reduceByKey().count() it is so slow.... and there are many such log in my executors: 15/10/31 19:53:58 INFO collection.ExternalSorter: Thread 78 spilling in-memory map of 633.1 MB to disk (8 times so far) 15/10/31 19:54:14 INFO collection.ExternalSorter: Thread 74 spilling in-memory map of 633.1 MB to disk (8 times so far) 15/10/31 19:54:17 INFO collection.ExternalSorter: Thread 79 spilling in-memory map of 633.1 MB to disk (8 times so far) 15/10/31 19:54:29 INFO collection.ExternalSorter: Thread 77 spilling in-memory map of 633.1 MB to disk (8 times so far) 15/10/31 19:54:50 INFO collection.ExternalSorter: Thread 76 spilling in-memory map of 633.1 MB to disk (9 times so far) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/job-hangs-when-using-pipe-with-reduceByKey-tp25242.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org