* Initial scaffolding of the host summary endpoint
* inmem datastore implementation of GenerateHostStatusStatistics
* HostSummary docstring
* changing the url of the host summary endpoint
* datastore tests for GenerateHostStatusStatistics
* MySQL datastore implementation of GenerateHostStatusStatistics
* <= and >= to catch exact time edge case
* removing clock interface method
* lowercase error wraps
* removin superfluous whitespace
* use updated_at
* adding a seen_at column to the hosts table
* moving the update of seen_time to the caller
* using db.Get instead of db.Select
* Moving query attributes from the query object to the pack-query relationship
* some additional tests
* http request parsing test
* QueryOptions in new test_util code
* initial scaffolding of new request structures
* service and datastore
* test outline
* l2 merge conflict scrub
* service tests for scheduled query service
* service and datastore tests
* most endpoints and transports
* order of values are not deterministic with inmem
* transport tests
* rename PackQuery to ScheduledQuery
* removing existing implementation of adding queries to packs
* accounting for the new argument to NewQuery
* fix alignment in sql query
* removing underscore
* add removed to the datastore
* removed differential from the schema
Removed Gorm, replaced it with Sqlx
* Added SQL bundling command to Makfile
* Using go-kit logger
* Added soft delete capability
* Changed SearchLabel to accept a variadic param for optional omit list
instead of array
* Gorm removed
* Refactor table structures to use CURRENT_TIMESTAMP mysql function
* Moved Inmem datastore into it's own package
* Updated README
* Implemented code review suggestions from @zwass
* Removed reference to Gorm from glide.yaml
New datastore methods are introduced for creating/updating
distributed query campaigns, as well as determining the active
distributed queries for a given host.
This PR reorganizes a bunch of the files in datastore such that all datastore implementations are consistently broken up into multiple files. Additionally, the datastore tests follow a similar pattern and can easily be applied to any complete datastore implementation.
