1ee8d5ffc5
This PR introduces the /v1/search/fuzzy API endpoint, used for fuzzy searching objects in Nomad. The fuzzy search endpoint routes requests to the Nomad Server leader, which implements the Search.FuzzySearch RPC method. Requests to the fuzzy search API are based on the api.FuzzySearchRequest object, e.g. { "Text": "ed", "Context": "all" } Responses from the fuzzy search API are based on the api.FuzzySearchResponse object, e.g. { "Index": 27, "KnownLeader": true, "LastContact": 0, "Matches": { "tasks": [ { "ID": "redis", "Scope": [ "default", "example", "cache" ] } ], "evals": [], "deployment": [], "volumes": [], "scaling_policy": [], "images": [ { "ID": "redis:3.2", "Scope": [ "default", "example", "cache", "redis" ] } ] }, "Truncations": { "volumes": false, "scaling_policy": false, "evals": false, "deployment": false } } The API is tunable using the new server.search stanza, e.g. server { search { fuzzy_enabled = true limit_query = 200 limit_results = 1000 min_term_length = 5 } } These values can be increased or decreased, so as to provide more search results or to reduce load on the Nomad Server. The fuzzy search API can be disabled entirely by setting `fuzzy_enabled` to `false`.
130 lines
4.6 KiB
Go
130 lines
4.6 KiB
Go
package structs
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// Context defines the scope in which a search for Nomad object operates, and
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// is also used to query the matching index value for this context.
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type Context string
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const (
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// Individual context types.
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Allocs Context = "allocs"
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Deployments Context = "deployment"
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Evals Context = "evals"
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Jobs Context = "jobs"
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Nodes Context = "nodes"
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Namespaces Context = "namespaces"
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Quotas Context = "quotas"
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Recommendations Context = "recommendations"
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ScalingPolicies Context = "scaling_policy"
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Plugins Context = "plugins"
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Volumes Context = "volumes"
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// Subtypes used in fuzzy matching.
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Groups Context = "groups"
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Services Context = "services"
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Tasks Context = "tasks"
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Images Context = "images"
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Commands Context = "commands"
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Classes Context = "classes"
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// Union context types.
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All Context = "all"
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)
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// SearchConfig is used in servers to configure search API options.
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type SearchConfig struct {
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// FuzzyEnabled toggles whether the FuzzySearch API is enabled. If not
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// enabled, requests to /v1/search/fuzzy will reply with a 404 response code.
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FuzzyEnabled bool `hcl:"fuzzy_enabled"`
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// LimitQuery limits the number of objects searched in the FuzzySearch API.
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// The results are indicated as truncated if the limit is reached.
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//
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// Lowering this value can reduce resource consumption of Nomad server when
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// the FuzzySearch API is enabled.
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LimitQuery int `hcl:"limit_query"`
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// LimitResults limits the number of results provided by the FuzzySearch API.
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// The results are indicated as truncate if the limit is reached.
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//
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// Lowering this value can reduce resource consumption of Nomad server per
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// fuzzy search request when the FuzzySearch API is enabled.
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LimitResults int `hcl:"limit_results"`
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// MinTermLength is the minimum length of Text required before the FuzzySearch
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// API will return results.
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//
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// Increasing this value can avoid resource consumption on Nomad server by
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// reducing searches with less meaningful results.
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MinTermLength int `hcl:"min_term_length"`
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}
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// SearchResponse is used to return matches and information about whether
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// the match list is truncated specific to each type of Context.
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type SearchResponse struct {
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// Map of Context types to ids which match a specified prefix
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Matches map[Context][]string
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// Truncations indicates whether the matches for a particular Context have
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// been truncated
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Truncations map[Context]bool
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QueryMeta
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}
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// SearchRequest is used to parameterize a request, and returns a
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// list of matches made up of jobs, allocations, evaluations, and/or nodes,
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// along with whether or not the information returned is truncated.
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type SearchRequest struct {
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// Prefix is what ids are matched to. I.e, if the given prefix were
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// "a", potential matches might be "abcd" or "aabb"
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Prefix string
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// Context is the type that can be matched against. A context can be a job,
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// node, evaluation, allocation, or empty (indicated every context should be
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// matched)
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Context Context
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QueryOptions
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}
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// FuzzyMatch is used to describe the ID of an object which may be a machine
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// readable UUID or a human readable Name. If the object is a component of a Job,
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// the Scope is a list of IDs starting from Namespace down to the parent object of
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// ID.
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//
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// e.g. A Task-level service would have scope like,
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// ["<namespace>", "<job>", "<group>", "<task>"]
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type FuzzyMatch struct {
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ID string // ID is UUID or Name of object
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Scope []string `json:",omitempty"` // IDs of parent objects
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}
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// FuzzySearchResponse is used to return fuzzy matches and information about
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// whether the match list is truncated specific to each type of searchable Context.
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type FuzzySearchResponse struct {
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// Matches is a map of Context types to IDs which fuzzy match a specified query.
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Matches map[Context][]FuzzyMatch
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// Truncations indicates whether the matches for a particular Context have
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// been truncated.
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Truncations map[Context]bool
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QueryMeta
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}
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// FuzzySearchRequest is used to parameterize a fuzzy search request, and returns
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// a list of matches made up of jobs, allocations, evaluations, and/or nodes,
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// along with whether or not the information returned is truncated.
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type FuzzySearchRequest struct {
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// Text is what names are fuzzy-matched to. E.g. if the given text were
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// "py", potential matches might be "python", "mypy", etc. of jobs, nodes,
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// allocs, groups, services, commands, images, classes.
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Text string
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// Context is the type that can be matched against. A Context of "all" indicates
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// all Contexts types are queried for matching.
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Context Context
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QueryOptions
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}
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