benchmarks/src/gatling/resources/benchmark-defaults.conf

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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing,
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#

# HTTP connection settings
http {
  # Base URL of the Polaris service
  # Default: "http://localhost:8181"
  base-url = "http://localhost:8181"
}

# Authentication settings
auth {
  # OAuth2 client ID for authentication
  # Required: Must be provided in configuration
  client-id = null

  # OAuth2 client secret for authentication
  # Required: Must be provided in configuration
  client-secret = null
}

# Dataset tree structure configuration
dataset.tree {
  # JSON to supply as a StorageConfigInfo when creating a catalog
  # Default: {"storageType": "FILE"}
  storage-config-info = """{"storageType": "FILE"}"""

  # Number of catalogs to create. Only the first catalog (C_0) will contain the test dataset.
  # Default: 1
  num-catalogs = 1

  # Width of the namespace tree (N). Each namespace will have exactly N children
  # For N > 1: Total namespaces = (N^D - 1)/(N - 1)
  # For N = 1: Total namespaces = D
  # Default: 2
  namespace-width = 2

  # Depth of the namespace tree (D), including root namespace
  # Total number of leaf namespaces = N^(D-1)
  # Default: 4
  namespace-depth = 4

  # Number of tables to create per leaf namespace (T)
  # Total tables = N^(D-1) * T
  # Default: 5
  tables-per-namespace = 5

  # Maximum number of tables to create.  This parameter can be user to cap the
  # number of tables otherwise created by the formula above. Must be less than
  # N^(D-1) * T (computed total from tables-per-namespace). Use -1 to create
  # all computed tables.
  #
  # Examples:
  # * namespace-width=2, namespace-depth=20, tables-per-namespace=4 and max-tables=-1
  #   will create 1,048,575 namespaces (of which 524,288 are leaf namespaces) and 2,097,152 tables.
  # * namespace-width=2, namespace-depth=20, tables-per-namespace=4 and max-tables=1000000
  #   will create 1,048,575 namespaces (of which 524,288 are leaf namespaces) and 1,000,000 tables.
  #
  # Default: -1
  max-tables = -1

  # Number of views to create per leaf namespace (V)
  # Total views = N^(D-1) * V
  # Default: 3
  views-per-namespace = 3

  # Maximum number of views to create.  This parameter can be user to cap the
  # number of views otherwise created by the formula above. Must be less than
  # N^(D-1) * V (computed total from views-per-namespace). Use -1 to create
  # all computed views.
  #
  # Examples:
  # * namespace-width=2, namespace-depth=20, views-per-namespace=4 and max-views=-1
  #   will create 1,048,575 namespaces (of which 524,288 are leaf namespaces) and 2,097,152 views.
  # * namespace-width=2, namespace-depth=20, views-per-namespace=4 and max-views=1000000
  #   will create 1,048,575 namespaces (of which 524,288 are leaf namespaces) and 1,000,000 views.
  #
  # Default: -1
  max-views = -1

  # Number of columns per table
  # Default: 10
  columns-per-table = 10

  # Number of columns per view
  # Default: 10
  columns-per-view = 10

  # Base location for datasets
  # Default: "file:///tmp/polaris"
  default-base-location = "file:///tmp/polaris"

  # Number of properties to add to each namespace
  # Default: 10
  namespace-properties = 10

  # Number of properties to add to each table
  # Default: 10
  table-properties = 10

  # Number of properties to add to each view
  # Default: 10
  view-properties = 10
}

# Workload configuration
workload {
  # Configuration for the CreateCommits simulation
  create-commits {
    # Number of table commits to create per second
    # Default: 10
    table-commits-throughput = 10

    # Number of view commits to create per second
    # Default: 5
    view-commits-throughput = 5

    # Duration of the simulation in minutes
    # Default: 1
    duration-in-minutes = 1
  }

  # Configuration for the ReadTreeDataset simulation
  read-tree-dataset {
    # Number of table operations to perform simultaneously
    # This controls the concurrency level for table operations
    # Default: 20
    table-concurrency = 20

    # Number of view operations to perform simultaneously
    # This controls the concurrency level for view operations
    # Default: 10
    view-concurrency = 10
  }

  # Configuration for the CreateTreeDataset simulation
  create-tree-dataset {
    # Number of table operations to perform simultaneously
    # This controls the concurrency level for table operations
    # Default: 20
    table-concurrency = 20

    # Number of view operations to perform simultaneously
    # This controls the concurrency level for view operations
    # Default: 10
    view-concurrency = 10
  }

  # Configuration for the ReadUpdateTreeDataset simulation
  read-update-tree-dataset {
    # Ratio of read operations to write operations
    # Range: 0.0 to 1.0 where:
    # - 0.0 means 100% writes
    # - 1.0 means 100% reads
    # Example: 0.8 means 80% reads and 20% writes
    # Default: 0.5
    read-write-ratio = 0.5

    # Number of operations to perform per second
    # Default: 100
    throughput = 100

    # Duration of the simulation in minutes
    # Default: 5
    duration-in-minutes = 5
  }

  # Configuration for the WeightedWorkloadOnTreeDataset simulation
  weighted-workload-on-tree-dataset {
    # Seed used for RNG during the test
    seed = 42

    # Distributions for readers
    # Each distribution will have `count` threads assigned to it
    # mean / variance describe the properties of the normal distribution
    # Readers will read a random table in the table space based on sampling
    # Default: [{ count = 8, mean = 0.3, variance = 0.0278 }]
    readers = [
      { count = 8, mean = 0.3, variance = 0.0278 }
    ]

    # Distributions for writers
    # Each distribution will have `count` threads assigned to it
    # mean / variance describe the properties of the normal distribution
    # Writers will write to a random table in the table space based on sampling
    # Default: [{ count = 2, mean = 0.7, variance = 0.0278 }]
    writers = [
      { count = 2, mean = 0.7, variance = 0.0278 }
    ]

    # Duration of the simulation in minutes
    # Default: 5
    duration-in-minutes = 5
  }
}