This commit allows for buffering any GeoJSON object.
For example:
INTERSECTS fleet BUFFER 1000 OBJECT {...LineString...}
This will buffer add a 1 kilometer buffer to a linesting and
search the 'fleet' collection for all objects that
intersect the buffered linestring.
This commit also allows for performing INTERSECTS with a POINT
type. Thus allowing for a polygon-over-point operation, which is
an inverted point-in-polygon.
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 issues fixes an issue where a search command with a where
clause using the "z" field would not match correctly for point
that where contained inside a GeoJSON Feature type.
Tile38 now extracts the Z coordinate from Point and Feature/Point
types.
fixes#622
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
This commit addresses an issue where the sarama kafka library
leaks memory when a connection closes unless the metrics
configuration that was passed to new connection is also closed.
Fixes#613
Returns 'ok' if the server is the leader or a follower with
a 'caught up' log.
This is mainly for HTTP connections that are using an
orchestration environment like kubernetes, but will work as a
general RESP command.
For HTTP a '200 OK' for 'caught up' and
'500 Internal Server Error' otherwise.
See #608
Prior to this commit roaming geofences only registered changes to
the SET command. Now it will work for SET/DEL/FSET, just like
non-roaming geofences.
To opt out of these events, explicitly choose which event you
would like to register when you create the geofences.
For example:
NEARBY fleet FENCE COMMANDS set,del ROAM fleet * 5000
Will only fire off events from SET and DEL command.
Closes#597
This commit fixes a performance issue with the algorithm that
determines with geofences are potential candidates for
notifications following a SET operation.
Details
Prior to commit b471873 (10 commits ago) there was a bug where
the "cross" detection was not firing in all cases. This happened
because when looking for candidates for "cross" due to a SET
operation, only the geofences that overlapped the previous
position of the object and the geofences that overlapped the new
position where searched. But, in fac, all of the geofences that
overlapped the union rectangle of the old and new position should
have been searched.
That commit fixed the problem by searching a union rect of the
old and new positions. While this is an accurate solution, it
caused a slowdown on systems that have big/wild position changes
that might cross a huge number of geofences, even when those
geofences did not need actually need "cross" detection.
The fix
With this commit the geofences that have a "cross" detection
are stored in a seperated tree from those that do not. This
allows for a hybrid of the functionality prior and post b471873.
Fixes#583
This commit addresses issue #230, where an AOF file will sometimes
not load due to the file being padded with trailing zeros. It's
uncertain what is causing this corruption, but it appears to be
coming from outside of the tile38-server process. I suspect it's
due to some block store layer in Kubernetes/Docker cloud
environments.
This fix allows for Tile38 to start up by discovering the trailing
zeros while loading the AOF and safely truncating the file as to
not include the zeros in the future.
This commit fixes an issue that happens when running SCAN on a
collection that has objects with fields, causing field values
to be mismatched with their respective keys.
This only occured with json output, and is a regression from #534.
Fixes#569
This commit fixes an issue where the OUTPUT command requires
authentication when a server password has been set with
CONFIG SET requirepass. This was causing problems with clients
that use json responses, like the tile38-cli.
Fixes#564
The current KNN implementation has two areas that can be improved:
- The current behavior is somewhat incorrect. When performing a kNN
query, the current code fetches k items from the index, and then sorts
these items according to Haversine distance. The problem with this
approach is that since the items fetched from the index are ordered by
a Euclidean metric, there is no guarantee that item k + 1 is not closer
than item k in great circle distance, and hence incorrect results can be
returned when closer items beyond k exist.
- The secondary sort is a performance killer. This requires buffering
all k items (again...they were already run through a priority queue in)
the index, and then a sort. Since the items are mostly sorted, and
Go's sort implementation is a quickSort this is the worst case for the
sort algorithm.
Both of these can be fixed by applying a proper distance metric in
the index nearby operation. In addition, this cleans up the code
considerably, removing a number of special cases that applied only
to NEARBY operations.
This change implements a geodetic distance metric that ensures that
the order from the index is correct, eliminating the need for the
secondary sort and special filtering cases in the ScanWriter code.
This commit fixes a case where a roaming geofence will not fire
a "faraway" event when it's supposed to.
The fix required rewriting the nearby/faraway detection logic. It
is now much more accurate and takes overall less memory, but it's
also a little slower per operation because each object proximity
is checked twice per update. Once to compare the old object's
surrounding, and once to evaulated the new object. The two lists
are then used to generate accurate "nearby" and "faraway" results.
Benjamin Ramser