Changing from the existing method of adding built in labels at server startup.
This new method should be friendlier to long term changes, and falls in line
with the new pattern established for osquery options.
Fixes#702
* 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
Operator precedence was causing incorrect results to be returned. The failing
test was missed because the CI results did not appear in Github before merging.
* Adds created_by attribute to packs
This PR also updated the distributed query code to use the pattern
established here (service checks context)
* add enable/disable state to packs
* add query_count to packs API responses
* add host_count to packs API responses (very, very poorly)
* pack description should not be required
* counting hosts in packs via mysql
* removing extraneous newline in test
* Switch case instead of if/if else
* add description to update query for SavePack method
* change AND to WHERE in query as per @zwass
* add ordering and list options as per @murphybytes' suggestion
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
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.
