It's now possible to do:
SCAN fleet WHERE "properties.speed < 25 || properties.speed > 50"
Uses javascript-like syntax using the https://github.com/tidwall/expr package.
Automatically reference fields and GeoJSON properties:
SET fleet truck1 FIELD speed 65 POINT -112 33
Can be queried:
SCAN fleet WHERE "speed > 50"
SCAN fleet WHERE "id == 'truck1'"
SCAN fleet WHERE "speed > 50 && id == 'truck1'"
The core package uses global variables that keep from having
more than one Tile38 instance runnning in the same process.
Move the core variables in the server.Options type which are
uniquely stated per Server instance.
The build variables are still present in the core package.
This commit accepts incoming connections even before the AOF
dataset has been loaded into memory. Though only a very limited
command set is allowed.
Allowed commands:
PING, ECHO, OUTPUT, QUIT
All other commands will return:
LOADING Tile38 is loading the dataset in memory
This is useful for establishing connections for the purpose of
checking process and network state.
This commit changes the collection type that holds all of the
hooks from a hashmap to a btree. This allows for better
flexibility for operations that need to perform range searches
and scanning of the collection.
This commit ensures that the TIMEOUT is always checked prior to
returning data to the client, and that the elapsed command time
cannot be greater than the timeout value.
This commit changes the logic for managing the expiration of
objects in the database.
Before: There was a server-wide hashmap that stored the
collection key, id, and expiration timestamp for all objects
that had a TTL. The hashmap was occasionally probed at 20
random positions, looking for objects that have expired. Those
expired objects were immediately deleted, and if there was 5
or more objects deleted, then the probe happened again, with
no delay. If the number of objects was less than 5 then the
there was a 1/10th of a second delay before the next probe.
Now: Rather than a server-wide hashmap, each collection has
its own ordered priority queue that stores objects with TTLs.
Rather than probing, there is a background routine that
executes every 1/10th of a second, which pops the expired
objects from the collection queues, and deletes them.
The collection/queue method is a more stable approach than
the hashmap/probing method. With probing, we can run into
major cache misses for some cases where there is wide
TTL duration, such as in the hours or days. This may cause
the system to occasionally fall behind, leaving should-be
expired objects in memory. Using a queue, there is no
cache misses, all objects that should be expired will be
right away, regardless of the TTL durations.
Fixes#616