[hotfix] Improve README

README.md

@@ -51,10 +51,6 @@ re-write Python programs into distributed stream or batch processing jobs.
 observed feature ETL job patterns. These optimizations are automatically applied
 to ETL jobs compiled from the declarative feature definitions, much like how SQL
 optimizations are applied.
-- **Assisted feature monitoring**: FeatHub provides [built-in
-metrics](docs/content/metric-stores) to monitor the quality of features and
-alert users to issues such as feature drift. This helps to improve the accuracy
-and reliability of machine learning models.
 - **Facilitated feature sharing**: FeatHub allows developers to register and
 query feature definitions in a persistent [feature
 registry](docs/content/registries). This capability reduces the duplication of
@@ -71,6 +67,11 @@ computation engine with milli-second latency. This provides better performance
 than other open-source feature stores that only support feature generation
 using Apache Spark.
 
+- **Assisted feature monitoring**: FeatHub provides [built-in
+metrics](docs/content/metric-stores) to monitor the quality of features and
+alert users to issues such as feature drift. This helps to improve the accuracy
+and reliability of machine learning models.
+
 - **Stream-batch unified computation**: FeatHub allows for consistent feature
 computation across offline, nearline, and online stacks using [Apache
 Flink](docs/content/engines/flink.md) for real-time features with low latency,

docs/content/metric-stores/metrics.md

@@ -26,6 +26,10 @@ It exposes the following metric-specific tags:
 - filter_expr: The value of the filter_expr parameter.
 - window_size_sec: The value of the window_size parameter in seconds.
 
+See
+[here](https://github.com/alibaba/feathub/blob/master/python/feathub/metric_stores/tests/test_prometheus_metric_store.py#L108)
+for example usages.
+
 ## Ratio
 
 Ratio is a metric that shows the proportion of the number features that meets
@@ -48,3 +52,6 @@ It exposes the following metric-specific tags:
 - filter_expr: The value of the filter_expr parameter.
 - window_size_sec: The value of the window_size parameter in seconds.
 
+See
+[here](https://github.com/alibaba/feathub/blob/master/python/feathub/metric_stores/tests/test_prometheus_metric_store.py#L122)
+for example usages.