Dear Marton, Thanks very much for taking time to look into this issue. Actually I am on latest Flink version (1.1.2). Would the Hadoop version might be causing the problem (it is 2.6 with CDH 5.5.1)? Would appreciate any more pointers to resolve this.
Thanks, Vaidya. > On 14-Sep-2016, at 4:53 PM, Márton Balassi <balassi.mar...@gmail.com> wrote: > > Dear Vaidya, > > This seems weird, me guess is that somehow that Time and AbstractTime > implementations are not from the same Flink version. > > According to your Maven build you should be using Flink 0.10.2. Since then > there have been changes to windowing, are you tied to that version or would > it be feasible to upgrade to the latest (1.1.2) just to have a bit more > information on the issue? > > Best, > > Marton > > On Wed, Sep 14, 2016 at 8:51 AM, Vaidyanathan Sivasubramanian > <svaid...@hotmail.com <mailto:svaid...@hotmail.com>> wrote: > Hi, > > I am trying to implement Flink steaming using an example in GitHub: > https://github.com/andi1400/bestXStreamRating > <https://github.com/andi1400/bestXStreamRating>. While executing I am > getting the below error. Can you please help guide me on the resolution. > Thanks in advance! > > > Starting execution of program > > ------------------------------------------------------------ > The program finished with the following exception: > > java.lang.VerifyError: Bad type on operand stack > Exception Details: > Location: > > ca/uwaterloo/cs/bigdata2016w/andi1400/bestXStreamRating/AnalyzeTwitterBestXSentimentRatingFlink$.main([Ljava/lang/String;)V > @687: invokevirtual > Reason: > Type 'org/apache/flink/streaming/api/windowing/time/Time' (current frame, > stack[2]) is not assignable to > 'org/apache/flink/streaming/api/windowing/time/AbstractTime' > Current Frame: > bci: @687 > flags: { } > locals: { > 'ca/uwaterloo/cs/bigdata2016w/andi1400/bestXStreamRating/AnalyzeTwitterBestXSentimentRatingFlink$', > '[Ljava/lang/String;', > 'ca/uwaterloo/cs/bigdata2016w/andi1400/bestXStreamRating/Conf', > 'java/lang/String', integer, > 'org/apache/flink/streaming/api/scala/StreamExecutionEnvironment', > 'org/apache/flink/api/scala/ExecutionEnvironment', > 'org/apache/flink/api/scala/DataSet', 'org/apache/flink/api/scala/DataSet', > 'ca/uwaterloo/cs/bigdata2016w/andi1400/bestXStreamRating/TermConfigurationFileScala', > '[Ljava/lang/String;', 'org/apache/flink/streaming/api/scala/DataStream', > 'scala/collection/immutable/Map', > 'org/apache/flink/streaming/api/scala/DataStream', integer, > 'org/apache/flink/streaming/api/scala/KeyedStream' } > stack: { 'org/apache/flink/streaming/api/scala/KeyedStream', > 'org/apache/flink/streaming/api/windowing/time/Time', > 'org/apache/flink/streaming/api/windowing/time/Time' } > Bytecode: > 0000000: bb00 4759 b200 4c2b c000 4eb6 0052 b700 > 0000010: 554d 2ab6 0057 bb00 5959 b700 5a12 5cb6 > 0000020: 0060 2cb6 0064 b600 6ab6 0060 b600 6eb6 > 0000030: 0074 2ab6 0057 bb00 5959 b700 5a12 76b6 > 0000040: 0060 2cb6 0079 b600 6ab6 0060 b600 6eb6 > 0000050: 0074 2ab6 0057 bb00 5959 b700 5a12 7bb6 > 0000060: 0060 2cb6 007e b600 6ab6 0060 b600 6eb6 > 0000070: 0074 2ab6 0057 bb00 5959 b700 5a12 80b6 > 0000080: 0060 2cb6 0083 b600 6ab6 0060 b600 6eb6 > 0000090: 0074 1285 b800 89b2 008f b600 9312 95b8 > 00000a0: 0089 b200 8fb6 0093 2cb6 0098 b600 6ac0 > 00000b0: 009a 4e2c b600 9db6 006a b800 a399 0007 > 00000c0: 03a7 0004 0436 04b2 00a8 b600 ac3a 05b2 > 00000d0: 00b1 b600 b43a 0619 062c b600 7eb6 006a > 00000e0: c000 9a19 06b6 00b9 b600 bd3a 0719 07bb > 00000f0: 00bf 59b7 00c0 bb00 c259 b700 c3b2 00c8 > 0000100: 12ca b600 cdb6 00d3 3a08 bb00 d559 1908 > 0000110: b600 d9b2 004c b600 ddb9 00e3 0200 b700 > 0000120: e63a 0919 09b6 00ea 3a0a 2cb6 00ed b600 > 0000130: 6ab8 00a3 9900 2119 05bb 00ef 5919 0ab7 > 0000140: 00f1 b200 c812 f3b6 00cd 12f3 b800 f9b6 > 0000150: 00ff a700 5d19 05bb 0101 5919 0a2c b601 > 0000160: 04b6 006a c000 9a2c b601 07b6 006a c000 > 0000170: 9a2c b601 0ab6 006a c000 9a2c b601 0db6 > 0000180: 006a c000 9a2c b600 98b6 006a c000 9a2c > 0000190: b601 10b6 006a b801 1413 0116 b701 19b2 > 00001a0: 00c8 12f3 b600 cd12 f3b8 00f9 b600 ff3a > 00001b0: 0b19 062c b601 1cb6 006a c000 9a19 06b6 > 00001c0: 00b9 b600 bdbb 011e 59b7 011f bb01 2159 > 00001d0: b701 22b2 00c8 12ca b600 cdb6 0125 b600 > 00001e0: d9bb 0127 59b7 0128 b901 2c02 00bb 012e > 00001f0: 59b7 012f b901 3402 00bb 0136 59b7 0137 > 0000200: b201 3cb6 0140 b901 4303 00c0 0131 3a0c > 0000210: 190b bb01 4559 b701 4612 9ab8 014c b200 > 0000220: c812 9ab6 00cd b601 51bb 0153 59b7 0154 > 0000230: 129a b801 4cb2 00c8 129a b600 cdb6 0151 > 0000240: bb01 5659 b701 57b6 015b 3a0d 2cb6 0083 > 0000250: b600 6ab8 00a3 360e 190d bb01 5d59 1909 > 0000260: 190c 150e b701 60bb 0162 59b7 0163 b200 > 0000270: c812 cab6 00cd b601 67b2 004c 04bc 0a59 > 0000280: 0303 4fb6 016b b601 6f3a 0f19 0f2c b600 > 0000290: 79b6 006a b801 1485 b201 75b8 017b 2cb6 > 00002a0: 017e b600 6ab8 0114 85b2 0175 b801 7bb6 > 00002b0: 0184 3a10 1910 bb01 8659 b701 87b6 018d > 00002c0: 3a11 1911 bb01 8f59 b701 90bb 0192 59b7 > 00002d0: 0193 b200 c812 cab6 00cd b601 513a 1215 > 00002e0: 0499 0023 1912 bb01 9559 2d19 09b7 0198 > 00002f0: b201 9eb8 014c b200 c8b6 01a2 b601 a53a > 0000300: 13a7 0023 1912 bb01 a759 1909 b701 aa12 > 0000310: 9ab8 014c b200 c812 9ab6 00cd b601 a5b6 > 0000320: 01ae 3a14 1905 1301 b0b6 01b4 57b1 > Stackmap Table: > append_frame(@196,Object[#71],Object[#154]) > same_locals_1_stack_item_frame(@197,Integer) > > full_frame(@341,{Object[#2],Object[#463],Object[#71],Object[#154],Integer,Object[#251],Object[#182],Object[#207],Object[#207],Object[#213],Object[#463]},{}) > same_locals_1_stack_item_extended(@431,Object[#334]) > > full_frame(@772,{Object[#2],Object[#463],Object[#71],Object[#154],Integer,Object[#251],Object[#182],Object[#207],Object[#207],Object[#213],Object[#463],Object[#334],Object[#305],Object[#334],Integer,Object[#384],Object[#393],Object[#334],Object[#334]},{}) > same_frame(@804) > > at > ca.uwaterloo.cs.bigdata2016w.andi1400.bestXStreamRating.AnalyzeTwitterBestXSentimentRatingFlink.main(AnalyzeTwitterBestXSentimentRatingFlink.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:509) > at > org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:403) > at > org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:320) > at > org.apache.flink.client.CliFrontend.executeProgram(CliFrontend.java:777) > at org.apache.flink.client.CliFrontend.run(CliFrontend.java:253) > at > org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:1005) > at org.apache.flink.client.CliFrontend.main(CliFrontend.java:1048) > > Best Regards, > Vaidya. >
