Github user kl0u commented on a diff in the pull request:

    https://github.com/apache/flink/pull/4041#discussion_r120303532
  
    --- Diff: docs/dev/libs/cep.md ---
    @@ -98,48 +128,105 @@ val result: DataStream[Alert] = 
patternStream.select(createAlert(_))
     </div>
     </div>
     
    -Note that we use Java 8 lambdas in our Java code examples to make them 
more succinct.
    -
     ## The Pattern API
     
    -The pattern API allows you to quickly define complex event patterns.
    -
    -Each pattern consists of multiple stages or what we call states.
    -In order to go from one state to the next, the user can specify conditions.
    -These conditions can be the contiguity of events or a filter condition on 
an event.
    -
    -Each pattern has to start with an initial state:
    +The pattern API allows you to quickly define complex pattern sequences 
that you want to extract 
    +from your input stream.
    +
    +Each such complex pattern sequence consists of multiple simple patterns, 
i.e. patterns looking for 
    +individual events with the same properties. These simple patterns are 
called **states**. A complex pattern 
    +can be seen as a graph of such states, where transition from one state to 
the next happens based on user-specified
    +*conditions*, e.g. `event.getName().equals("start")`. A *match* is a 
sequence of input events which visit all 
    +states of the complex pattern graph, through a sequence of valid state 
transitions.
    +
    +<span class="label label-danger">Attention</span> Each state must have a 
unique name to identify the matched 
    +events later on. 
    +
    +<span class="label label-danger">Attention</span> State names **CANNOT** 
contain the character `:`.
    +
    +In the remainder, we start by describing how to define [States](#states), 
before describing how you can 
    +combine individual states into [Complex Patterns](#combining-states).
    +
    +### Individual States
    +
    +A **State** can be either a *singleton* state, or a *looping* one. 
Singleton states accept a single event, 
    +while looping ones accept more than one. In pattern matching symbols, in 
the pattern `a b+ c? d` (or `a`, 
    +followed by *one or more* `b`'s, optionally followed by a `c`, followed by 
a `d`), `a`, `c?`, and `d` are 
    +singleton patterns, while `b+` is a looping one (see 
[Quantifiers](#quantifiers)). In addition, each state 
    +can have one or more *conditions* based on which it accepts events (see 
[Conditions](#conditions)).
    +
    +#### Quantifiers
    +
    +In FlinkCEP, looping patterns can be specified using the methods: 
`pattern.oneOrMore()`, for states that expect one or
    +more occurrences of a given event (e.g. the `b+` mentioned previously), 
and `pattern.times(#ofTimes)` for states that 
    +expect a specific number of occurrences of a given type of event, e.g. 4 
`a`'s. All states, looping or not, can be made 
    +optional using the `pattern.optional()` method. For a state named `start`, 
the following are valid quantifiers:
    + 
    + <div class="codetabs" markdown="1">
    + <div data-lang="java" markdown="1">
    + {% highlight java %}
    + // expecting 4 occurrences
    + start.times(4);
    +  
    + // expecting 0 or 4 occurrences
    + start.times(4).optional();
    + 
    + // expecting 1 or more occurrences
    + start.oneOrMore();
    +   
    + // expecting 0 or more occurrences
    + start.oneOrMore().optional();
    + {% endhighlight %}
    + </div>
    + 
    + <div data-lang="scala" markdown="1">
    + {% highlight scala %}
    + // expecting 4 occurrences
    + start.times(4)
    +   
    + // expecting 0 or 4 occurrences
    + start.times(4).optional()
    +  
    + // expecting 1 or more occurrences
    + start.oneOrMore()
    +    
    + // expecting 0 or more occurrences
    + start.oneOrMore().optional()
    + {% endhighlight %}
    + </div>
    + </div>
    +
    +#### Conditions
    +
    +At every state, and in order to go from one state to the next, you can 
specify additional **conditions**. 
    +These conditions can be related to:
    + 
    + 1. a [property of the incoming event](#conditions-on-properties), e.g. 
its value should be larger than 5, 
    + or larger than the average value of the previously accepted events.
    +
    + 2. the [contiguity of the matching events](#conditions-on-contiguity), 
e.g. detect pattern `a,b,c` without 
    --- End diff --
    
    I agree. The problem is that then we have many back-and-forths. I will try 
to somehow integrate this comments (probably with a forward reference like 
"more on contiguity ...").


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

Reply via email to