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ClassNotFoundException with class, defined in notebook #13
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You haven't upgraded right? After you do so you should get: In [1]: case class Test(x:Int) sc.parallelize((0 to 99).map{Test()}).map{(,1)}.countByKey() Out[1]: Map(Test(93) -> 1, Test(14) -> 1, Test(61) -> 1, Test(10) -> 1, Test(17) -> 1, Test(0) -> 1, Test(47) -> 1, Test(73) -> 1, Test(4) -> 1, Test(42) -> 1, Test(46) -> 1, Test(81) -> 1, Test(39) -> 1, Test(60) -> 1, Test(24) -> 1, Test(35) -> 1, Test(6) -> 1, Test(62) -> 1, Test(20) -> 1, Test(32) -> 1, Test(7) -> 1, Test(96) -> 1, Test(1) -> 1, Test(55) -> 1, Test(27) -> 1, Test(97) -> 1, Test(77) -> 1, Test(13) -> 1, Test(52) -> 1, Test(56) -> 1, Test(45) -> 1, Test(87) -> 1, Test(66) -> 1, Test(91) -> 1, Test(89) -> 1, Test(98) -> 1, Test(85) -> 1, Test(11) -> 1, Test(67) -> 1, Test(69) -> 1, Test(95) -> 1, Test(12) -> 1, Test(59) -> 1, Test(88) -> 1, Test(58) -> 1, Test(3) -> 1, Test(5) -> 1, Test(33) -> 1, Test(99) -> 1, Test(82) -> 1, Test(86) -> 1, Test(19) -> 1, Test(84) -> 1, Test(63) -> 1, Test(51) -> 1, Test(23) -> 1, Test(83) -> 1, Test(48) -> 1, Test(78) -> 1, Test(53) -> 1, Test(15) -> 1, Test(8) -> 1, Test(38) -> 1, Test(40) -> 1, Test(64) -> 1, Test(65) -> 1, Test(94) -> 1, Test(44) -> 1, Test(76) -> 1, Test(79) -> 1, Test(57) -> 1, Test(9) -> 1, Test(21) -> 1, Test(37) -> 1, Test(41) -> 1, Test(72) -> 1, Test(71) -> 1, Test(36) -> 1, Test(70) -> 1, Test(28) -> 1, Test(74) -> 1, Test(16) -> 1, Test(18) -> 1, Test(80) -> 1, Test(68) -> 1, Test(26) -> 1, Test(31) -> 1, Test(49) -> 1, Test(2) -> 1, Test(34) -> 1, Test(54) -> 1, Test(29) -> 1, Test(75) -> 1, Test(92) -> 1, Test(25) -> 1, Test(43) -> 1, Test(50) -> 1, Test(22) -> 1, Test(30) -> 1, Test(90) -> 1) Thanks a lot for your reply! On 04/20/2015 03:21 PM, Artem N. wrote:
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Rebuilt everything, and it works perfectly |
Thanks a lot! I'm not a frequent YARN user (never test it on YARN myself, just prayed it works as it share most of the components with spark-shell). Thank you so much for verifying its compatibility! |
Hi, and thank you for your work
spark 1.3.1, yarn-client
to reproduce
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