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btr-preprocessing

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Sep 27th, 2017
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  1. [manager]
  2. ip = 10.11.4.183
  3. port = 1514
  4. plugin = sahara
  5. cluster_size = 2
  6. flavor_id = 89789ded-183b-4a75-b7e9-5467d6fc944f
  7. image_id = 96e4df4d-2398-4330-99d8-e030d689a226
  8. bigsea_username = testuser
  9. bigsea_password = aB123456
  10.  
  11. [plugin]
  12. opportunistic = True
  13. args = hdfs://10.11.4.155/user/ubuntu/BTR/input/test/ hdfs://10.11.4.155/user/ubuntu/BTR/output/prep_10/ hdfs://10.11.4.155/user/ubuntu/BTR/output/routestop_10/
  14. dependencies = com.databricks:spark-csv_2.10:1.5.0
  15. main_class =
  16. job_template_name = BTR
  17. job_binary_name = BTR
  18. job_binary_url = hdfs://10.11.4.155/user/ubuntu/BTR/preprocessing_subsequent_stops.py
  19. output_ds_id =
  20. plugin_app = spark_progress
  21. expected_time = 100
  22. collect_period = 5
  23. openstack_plugin = spark
  24. plugin_version = 2.1.0
  25. job_type = Spark
  26. cluster_id =
  27. master_ng = 89428c9c-2b4d-4a63-8c85-68d778b0c715
  28. slave_ng = 793df748-6bea-45ef-9ac3-9c245fa6e2cc
  29. opportunistic_slave_ng = 793df748-6bea-45ef-9ac3-9c245fa6e2cc
  30. net_id = 64ee4355-4d7f-4170-80b4-5e8348af6a61
  31.  
  32. [scaler]
  33. starting_cap = 80
  34. scaler_plugin = progress-error
  35. actuator = service
  36. metric_source = monasca
  37. application_type = os_generic
  38. check_interval = 10
  39. trigger_down = 10
  40. trigger_up = 10
  41. min_cap = 20
  42. max_cap = 100
  43. actuation_size = 15
  44. metric_rounding = 2
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