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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 = 2d83d271-7076-4ed0-b6d6-de5e3cc02ca1
  8. bigsea_username = testuser
  9. bigsea_password = aB123456
  10.  
  11. [plugin]
  12. opportunistic = False
  13. args = hdfs://10.11.4.155/user/ubuntu/BTR/output/prep_3/ hdfs://10.11.4.155/user/ubuntu/BTR/output/ hdfs://10.11.4.155/user/ubuntu/BTR/output/duration_3/ hdfs://10.11.4.155/user/ubuntu/BTR/output/pipe_3/
  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/train_btr_2.0.py
  19. input_ds_id =
  20. output_ds_id =
  21. plugin_app = spark_progress
  22. expected_time = 100
  23. collect_period = 5
  24. openstack_plugin = spark
  25. plugin_version = 2.1.0
  26. job_type = Spark
  27. cluster_id =
  28. master_ng = 339277d2-6f0d-48c5-b8d2-b856996fffa8
  29. slave_ng = f92d26fd-0a6f-44f9-819c-9faf576f6285
  30. opportunistic_slave_ng = f92d26fd-0a6f-44f9-819c-9faf576f6285
  31. net_id = 64ee4355-4d7f-4170-80b4-5e8348af6a61
  32.  
  33. [scaler]
  34. starting_cap = 80
  35. scaler_plugin = progress-error
  36. actuator = service
  37. metric_source = monasca
  38. application_type = os_generic
  39. check_interval = 10
  40. trigger_down = 10
  41. trigger_up = 10
  42. min_cap = 20
  43. max_cap = 100
  44. actuation_size = 15
  45. metric_rounding = 2
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