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FLogging: Metric Collection on the High Seas. Joe Ludwig Director of Development Flying Lab Software. What is FLogging?. Server-side Metric collection Game events with parameters Server performance events. Formal + Log = FLog. Design Goals. Designer goals
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FLogging: Metric Collection on the High Seas Joe Ludwig Director of Development Flying Lab Software
What is FLogging? • Server-side • Metric collection • Game events with parameters • Server performance events
Formal + Log = FLog
Design Goals • Designer goals • Lots of different views on data • Possible to derive context from data • Programmer goals • Easy to add new flog types • No global recompiles
Adding a new flog type • Add any new field types in XML • Add the new flog type in XML • Upgrade database to generate SQL • Tables • Procedures • Views • Add call to record flog
Flog types defined in XML Flogger_field_types.xml: <flsFlogFieldType> <name>level</name> <sqlType>TINYINT</sqlType> </flsFlogFieldType>
Flog types defined in XML Flogger_types.xml: <flsFlogType> <name>level_gained</name> <fieldNames> <e>level</e> </fieldNames> <usesObjectId>true</usesObjectId> <hideByDefault>false</hideByDefault> </flsFlogType>
Add call to record flog void flsAdvancementManager::setLevel(flsCharacter* pCharacter, igChar iNewLevel) { pCharacter->assignNewLevel(iNewLevel); if(pCharacter->isPlayer()) { flsFlogger::flogf("level_gained", pCharacter->getLocalId(), "%d", iNewLevel); } }
Database Format - Tables • Flog table – one entry per flog • Value tables – One entry per flog that uses that field type • Flog_type table – One entry per type
value table Type of value column is controlled by flogger_field_types.xml
Database Format – Stored Procedures • Flog type procedures • Flog type expiration procedures • Flog_heartbeat procedure
Flog type procedures CREATE PROCEDURE Flog_level_gained @iObjectId INT, @level_param TINYINT AS BEGIN DECLARE @pid bigint, @cid int; SELECT @pid = puid, @cid = clusterid FROM #flog_vars; INSERT INTO flog (puid, cluster_id, flog_type, object_id) VALUES (@pid, @cid, 3, @iObjectId); DECLARE @lastid BIGINT; SET @lastid = SCOPE_IDENTITY(); INSERT INTO flog_level (id, value) VALUES (@lastid, @level_param); END
Flog age procedures CREATE PROCEDURE Flog_Age_skill_used AS DELETE flog FROM flog, flog_item_id WHERE DATEDIFF(DAY, flog.flog_time, CURRENT_TIMESTAMP)>=2 AND flog.id=flog_item_id.id
Flog Heartbeat procedure CREATE PROCEDURE Flog_Maintenance AS BEGIN EXEC flog_Age_maneuver_skill_used; EXEC flog_Age_skill_used; EXEC flog_Age_volley_fired; END
Database Format – Type View CREATE VIEW Flog_Data_level_gained AS SELECT flog.id, flog_level.value AS [level] FROM flog INNER JOIN flog_level ON flog.id=flog_level.id WHERE flog.flog_type=3
What we flog • Login/Logout events • Zoning • Economic events • Advancement events • Missions • Conquest events • Chat • GM commands
How much data? • 4.5 million new flog records per week • Top 5 flog types account for 50%
Reports using context • Context is available in the data • Extracting it can be slow • Example: Deaths per level
Current level function CREATE FUNCTION level_at_flog (@iObject INT, @iCluster INT, @iFlogId BIGINT) RETURNS INT AS BEGIN DECLARE @iLevel INT SELECT TOP 1 @iLevel = flog_level.value FROM flog INNER JOIN flog_level ON flog.id=flog_level.id WHERE (flog.id < @iFlogID) AND flog.object_id=@iObject AND flog.cluster_id = @iCluster AND flog.flog_type=3 ORDER BY flog.id DESC IF @iLevel IS NULL SET @iLevel=1 RETURN @iLevel END
Death by level table CREATE TABLE death_by_level (id BIGINT, level INT, object_id INT, cluster_id INT)
Death by level table INSERT INTO death_by_level (id, level, object_id, cluster_id) SELECT flog.id, dbo.level_at_flog(flog.object_id, flog.cluster_id, flog.id) AS [Level], flog.object_id, flog.cluster_id FROM flog WHERE flog.flog_type=65
Death by level report SELECT level, COUNT(id) AS [Deaths] FROM death_by_level GROUP BY level ORDER BY level
More data from context • Death by zone • Death by mission • XP by zone • Skills purchased by level • Play time per level
Room to improve • More and better reports • Automatic data rollups • Parameterized queries • Multiple associated fields in one table • Performance
Questions? Slides available at http://programmerjoe.com Joe Ludwig joe@flyinglab.com