99 lines
3.1 KiB
Crystal
99 lines
3.1 KiB
Crystal
# This file contains all the necessary code to perform tests based on the following Car database.
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require "json"
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require "../src/dodb.cr"
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require "./spec-database.cr"
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class Car
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include JSON::Serializable
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property name : String # unique to each instance (1-1 relations)
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property color : String | DODB::NoIndex # a simple attribute (1-n relations)
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property keywords : Array(String) | DODB::NoIndex # tags about a car, example: "shiny" (n-n relations)
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def_clone
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def initialize(@name, @color, @keywords)
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end
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class_getter cars = [
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Car.new("Corvet", "red", [ "shiny", "impressive", "fast", "elegant" ]),
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Car.new("SUV", "red", [ "solid", "impressive" ]),
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Car.new("Mustang", "red", [ "shiny", "impressive", "elegant" ]),
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Car.new("Bullet-GT", "red", [ "shiny", "impressive", "fast", "elegant" ]),
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Car.new("GTI", "blue", [ "average" ]),
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Car.new("Deudeuch", "violet", [ "dirty", "slow", "only French will understand" ])
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]
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# Equality is true if every property is identical.
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def ==(other)
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@name == other.name && @color == other.color && @keywords == other.keywords
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end
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end
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def ram_indexes(storage : DODB::Storage)
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n = storage.new_RAM_index "name", &.name
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c = storage.new_RAM_partition "color", &.color
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k = storage.new_RAM_tags "keyword", &.keywords
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return n, c, k
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end
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def cached_indexes(storage : DODB::Storage)
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n = storage.new_index "name", &.name
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c = storage.new_partition "color", &.color
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k = storage.new_tags "keyword", &.keywords
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return n, c, k
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end
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def uncached_indexes(storage : DODB::Storage)
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n = storage.new_uncached_index "name", &.name
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c = storage.new_uncached_partition "color", &.color
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k = storage.new_uncached_tags "keyword", &.keywords
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return n, c, k
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end
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# `max_indexes` limits the number of indexes (partitions and tags).
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# Once the last index (db last_key/5) is above this value, the following
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# cars won't be tagged nor partitionned.
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def add_cars(storage : DODB::Storage, nb_iterations : Int32, max_indexes = 5000)
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last_key = ((storage.last_key + 1) / 5).to_i
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i = 0
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car1 = Car.new "Corvet", "red", [ "shiny", "impressive", "fast", "elegant" ]
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car2 = Car.new "Bullet-GT", "blue", [ "shiny", "fast", "expensive" ]
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car3 = Car.new "Deudeuche", "beige", [ "curvy", "sublime" ]
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car4 = Car.new "Ford-5", "red", [ "unknown" ]
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car5 = Car.new "C-MAX", "gray", [ "spacious", "affordable" ]
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while i < nb_iterations
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car1.name = "Corvet-#{last_key}"
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car2.name = "Bullet-GT-#{last_key}"
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car3.name = "Deudeuche-#{last_key}"
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car4.name = "Ford-5-#{last_key}"
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car5.name = "C-MAX-#{last_key}"
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last_key += 1
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if last_key > max_indexes
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car1.color = DODB.no_index
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car2.color = DODB.no_index
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car3.color = DODB.no_index
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car4.color = DODB.no_index
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car5.color = DODB.no_index
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car1.keywords = DODB.no_index
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car2.keywords = DODB.no_index
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car3.keywords = DODB.no_index
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car4.keywords = DODB.no_index
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car5.keywords = DODB.no_index
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end
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storage.unsafe_add car1.clone
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storage.unsafe_add car2.clone
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storage.unsafe_add car3.clone
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storage.unsafe_add car4.clone
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storage.unsafe_add car5.clone
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i += 1
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#STDOUT.write "\radding value #{i}".to_slice
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end
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#puts ""
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end
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