This topic describes how to use a SESSION function in Realtime Compute for Apache Flink.
Definition
A SESSION function groups elements by session activity. Unlike tumbling and sliding windows, session windows do not overlap and are not fixed in size. If a session window does not receive elements within a specific period of time, the session is disconnected and the window is closed.
A session window is configured by using a gap, which defines the length of the inactive period. For example, a data stream that represents mouse click activities may include highly clustered mouse click events, separated by inactive periods. Data that arrives after a specified gap is assigned to a new window.
Syntax
SESSION(<time-attr>, <gap-interval>)
<gap-interval>: INTERVAL 'string' timeUnit
<time-attr>
parameter must be a valid time attribute in a data stream. This parameter specifies
whether the time is the processing time or the event time. For more information about
how to define time attributes, see Overview and Time Attributes.
Window identifier functions
A window identifier function specifies the start time, end time, or time attribute of a window. The time attribute is used to aggregate lower-level windows.
Function | Return value type | Description |
---|---|---|
SESSION_START (<time-attr>, <gap-interval>) |
Timestamp | Returns the start time, including the boundary value, of a window. For example, if
the time span of a window is [00:10, 00:15] , 00:10 is returned. The return value is the time of the first record in the session window.
|
SESSION_END (<time-attr>, <gap-interval>) |
Timestamp | Returns the end time, including the boundary value, of a window. For example, if the
time span of a window is [00:00, 00:15] , 00:15 is returned. The return value is the time of the last record in the session window
plus <gap-interval> .
|
SESSION_ROWTIME (<time-attr>, <gap-interval>) |
TIMESTAMP (rowtime-attr) | Returns the end time, excluding the boundary value, of a window. For example, if the
time span of a window is (00:00, 00:15) , 00:14:59.999 is returned. The return value is a rowtime attribute based on which time operations
can be performed. This function can be used only in the windows that are defined based
on the event time, such as cascading windows. For more information, see Cascading windows. The function applies only to windows based on the event time.
|
SESSION_PROCTIME (<time-attr>, <gap-interval>) |
TIMESTAMP (rowtime-attr) | Returns the end time, excluding the boundary value, of a window. For example, if the
time span of a window is (00:00, 00:15) , 00:14:59.999 is returned. The return value is a processing time attribute based on which time
operations can be performed. This function can be used only in the windows that are
defined based on the processing time, such as cascading windows. For more information,
see Cascading windows. The function applies only to windows based on the processing time.
|
Example
The following example describes how to calculate the number of clicks per user during each active session. The session timeout interval is 30 seconds.- Test data
username (VARCHAR) click_url (VARCHAR) ts (TIMESTAMP) Jark http://taobao.com/xxx
2017-10-10 10:00:00.0
Jark http://taobao.com/xxx
2017-10-10 10:00:10.0
Jark http://taobao.com/xxx
2017-10-10 10:00:49.0
Jark http://taobao.com/xxx
2017-10-10 10:01:05.0
Jark http://taobao.com/xxx
2017-10-10 10:01:58.0
Timo http://taobao.com/xxx
2017-10-10 10:02:10.0
- Test statements
CREATE TEMPORARY TABLE user_clicks( username varchar, click_url varchar, eventtime varchar, ts AS TO_TIMESTAMP(eventtime), WATERMARK FOR ts AS ts - INTERVAL '2' SECOND -- Define a watermark for the rowtime. ) WITH ( 'connector'='sls', ... ); CREATE TEMPORARY TABLE session_output( window_start TIMESTAMP, window_end TIMESTAMP, username VARCHAR, clicks BIGINT ) WITH ( 'connector'='datahub' -- Log Service allows you to export only VARCHAR-type DDL statements. Therefore, DataHub is used for storage. ... ); INSERT INTO session_output SELECT SESSION_START(ts, INTERVAL '30' SECOND), SESSION_END(ts, INTERVAL '30' SECOND), username, COUNT(click_url) FROM user_clicks GROUP BY SESSION(ts, INTERVAL '30' SECOND), username;
- Test results
window_start (TIMESTAMP) window_end (TIMESTAMP) username (VARCHAR) clicks (BIGINT) 2017-10-10 10:00:00.0
2017-10-10 10:00:40.0
Jark 2 2017-10-10 10:00:49.0
2017-10-10 10:01:35.0
Jark 2 2017-10-10 10:01:58.0
2017-10-10 10:02:28.0
Jark 1 2017-10-10 10:02:10.0
2017-10-10 10:02:40.0
Timo 1