Optimize metrics of minute dimensionality persistence.
- The value of metrics, which has declaration of the default value and current value equals the default value logically, the whole row wouldn't be pushed into database.
- Add self-observability `metrics_persistence_skipped` metric to measure the number of skipped metrics.
- SLA(percent function), Apdex, AvgLong(MAL mostly) metrics are mostly optimized because of this. Such as a full-failing error(0% successful rate) and unhealthy(apdex=0) are not costing the storage.
- Hour/Day dimensionalities metrics are not changed, as they cover long duration.
- Fix `max` function in OAL doesn't support negative long.
* Support `!= null` in OAL engine.
* Add `Message Queue Consuming Count` metric for MQ consuming service and endpoint.
* Add `Message Queue Avg Consuming Latency` metric for MQ consuming service and endpoint.
* Document with a new menu in the `tracing` catalog is added
* Refactor the OAL compiler context to improve readability. Usually, this could not be included in the change log, but considering this kind of refactor could cause not-found bugs, Adding this as a hit if we face some related issues in the future.
* Fix wrong generated codes of hashCode and remoteHashCode methods for numeric fields.
Enhance OAL engine core
* Fix `funcParamExpression` and `literalExpression` can't be used in the same aggregation function.
* Support cast statement in the OAL core engine.
* Support `(str->long)` and `(long)` for string to long cast statement.
* Support `(str->int)` and `(int)` for string to int cast statement.
* Support Long literal number in the OAL core engine.
* Support literal `string` as parameter of aggregation function.
* Add `attributeExpression` and `attributeExpressionSegment` in the OAL grammar tree to support `map` type for the
attribute expression.
Besides added UTs, I locally tested these OAL scripts
```
mq_consume_latency = from((str->long)Service.tag["transmission.latency"]).longAvg();
mq_consume_latency = from((long)Service.tag["transmission.latency"]).longAvg();
mq_consume_latency = from((str->long)Service.tag["transmission.latency"]).filter((str->long)tag["transmission.latency"] > 0L).longAvg();
```
kezhenxu94
吴晟 Wu Sheng
CoderGang
liqiangz
何延龙
Wing
zhyyu
wankai123
Fine0830
mrproliu
Kirs
zhang-wei
Jared Tan