[DI05] Azure Event Hubs と Azure Stream Analytics で、”今を処理”する

1週間後、一か月後に分かるより
“今”わかった方がいいに決まってる
これぞまさに、Digital Transformation

接続
メッセージ作成
メッセージ送信
var cs = “接続文字列”;
var path = “イベントハブ名”;
var eh = EventHubClient.CreateFromConnectionString(cs, path);
var msg = new {
user = this.User.Identity.Name,
level = level,
timestamp = demo.Timestamp
};
var json = JsonConvert.SerializeObject(msg);
eh.Send(new EventData(Encoding.UTF8.GetBytes(json)));

EventProcessorHostを使う
•
•
•
Functionsを使う
•
•
IEventProcessor
ProcessEventAsync(msg)
IEventProcessor
ProcessEventAsync(msg)
Run(string msg)

Point of
Service Devices
Self Checkout
Stations
Kiosks
Smart
Phones
Slates/
Tablets
PCs/
Laptops
Servers
Digital
Signs
Diagnostic
EquipmentRemote Medical
Monitors
Logic
Controllers
Specialized
DevicesThin
Clients
Handhelds
Security
POS
Terminals
Automation
Devices
Vending
Machines
Kinect
ATM

Stream Analytics
入力出力クエリデータストリーム
参照

• “入力”、“出力”をクリックし、
それぞれ作成
• “クエリ”をクリックし、クエ
リを定義
• 作業が終わったら“▶開始”で
実行開始

コンシューマー
グループ
https://docs.microsoft.com/ja-jp/azure/stream-analytics/stream-analytics-define-inputs

SELECT user level AS SATLevel timestamp
INTO
FROM

SELECT
CASE WHEN
THEN ‘HOT’ ELSE ‘COLD’ END
INTO
FROM

SELECT
INTO
FROM
WHERE ‘BEST’

"sessionid" “DI05" "level" "Best"
"posttime" "2017-05-24T04:24:08"
satpost
room

SELECT sp.sessionid, sp.level, sp.posttime, r.room, r.speaker
INTO
FROM satpost sp
JOIN room r ON r.sessionid

INTO
FROM satpost sp TIMESTAMP BY sp.posttime

WITH RoomedPost AS (
INTO satout
FROM satpost sp TIMESTAMP BY sp.posttime
)
SELECT * INTO throutput FROM RoomedPost
SELECT … FROM RoomedPost
…

SELECT AS
COUNT AS
INTO
FROM
WHERE UPPER
GROUP BY TUMBLINGWINDOW(minute,5)
,

時間
入力
イベント
0 5 10 15 20
時間
入力
イベント
0 5 10 15 20
時間
入力
イベント
0 5 10 15 20
↑
消滅
↑
出現

SELECT
0.81 * temperature
+ 0.01 * humidity * (0.99 * temperature - 14.3)
+ 46.3
AS
INTO
FROM sensor

SELECT
CalcDiscomfort(temperature, humidity)
AS
INTO
FROM sensor

リアルタイム分析
デバイス識別子、
時刻、振動
温度の状態予測
予測結果
を通知

WITH pred AS
prediction
AS result
FROM
SELECT
AS
INPUT
FROM pred

不要パラメータの排除
同上
学習済みモデル
http://aka.ms/IoTKitHoLV3On Step 7

[{
"ThingeeId": "Trip Guitor",
"places": [
{“id”:“新橋駅","longitude": 139.758332,"latitude":35.666193},
{“id”:“de:code会場","longitude": 139.747072,"latitude": 35.655435}
]
}]
{"id":"Trip Guitor","latitude":35.665974174784,"longitude":139.75797406074133,"trackingTime":"2017-05…”}
{“id”:”Trip Guitor”,”latitude”:35.665864762176,”longitude”:139.757795099112,”trackingTime”:”2017-05…"}
…………
WITH TP AS(
SELECT
CreatePoint(tp.latitude, tp.longitude) as tPos, tp.id as thingId, tp.trackingTime,
lps.ArrayValue.id as placeId,
lps.ArrayValue.latitude as rLatitude, lps.ArrayValue.longitude as rLongitude
FROM TrackingPoint tp TIMESTAMP BY trackingTime
JOIN Reference R on Input.id = R.ThingeeId
CROSS APPLY GetArrayElements(R.places) as lplaces
)
SELECT * INTO Output FROM TP
WHERE ST_DISTANCE(tPosition,CreatePoint(rLatitude,rLongitude)) < 50

http://github.com/ms-iotkithol-jp/ASAGeoSample

SELECT
input.location.latitude input.location.longitude
FROM
SELECT
flat.ArrayValue.type AS flat.ArrayValue.value AS
FROM
CROSS APPLY GetArrayElements(s.sensors) AS flat

{"id":"Trip Guitor","latitude":35.66597,"longitude":139.75797,"trackingTime":"2017-05-16T19:28:56.5904798+09:
{"id":"Trip Guitor","latitude":35.66564,"longitude":139.75743,"trackingTime":"2017-05-16T19:28:59.907668+09:0
WITH TP AS(
SELECT
CreatePoint(Input.latitude, Input.longitude) as position, Input.id as id, Input.trackingTime,
CreatePoint(
LAG(latitude,1) OVER (PARTITION BY id LIMIT DURATION(second,10)),
LAG(longitude,1) OVER (PARTITION BY id LIMIT DURATION(second,10)) ) as lastPosition
FROM Input TIMESTAMP BY trackingTime
)
-- calculate distance
SELECT id, trackingTime, position, ST_DISTANCE(position, lastPosition) as delta
INTO Output
FROM TP

Aggregate
• AVG
• COUNT
• Collect
• CollectTop
• MAX
• MIN
• Percentile_Cont
• Percentile_Desc
• STDEV
• STDEVP
• SUM
• TopOne
• VAR
• VARP
Analytics/Array/Record
• Analytics
• ISFIRST
• LAG
• LAST
• Array
• GetArrayLength
• GetArrayElement
• GetArrayElements
• Record
• GetRecordProperties
• GetRecordPropertyValue
Scalar
• Conversion Functions
• CAST,GetType,…
• Date and Time Functions
• DATEADD,DATEDIFF,…
• Mathematical Functions
• ABS,EXP,POWER,…
• String Functions
• LEN,CONCAT,…
Others
• Input Metadata
• GetMetadataPropertyValue
• Geo Spatial
• CreateLineString
• CreatePoint
• CreatePolygon
• ST_DISTANCE
• ST_OVERLAPS
• ST_INTERSECTS
• ST_WITHIN

https://msdn.microsoft.com/library/en-us/Dn834998.aspx
https://docs.microsoft.com/ja-jp/azure/stream-analytics/stream-analytics-stream-
analytics-query-patterns
https://msdn.microsoft.com/en-us/library/dn835030.aspx
https://blogs.technet.microsoft.com/jpitpro/2017/04/10/announcing-real-time-
geospatial-analytics-in-azure-stream-analytics/

問題を理解入力データを設計
テスト用 JSON
データを作成
Visual Studioで
Stream Analytics
プロジェクトを作成
スクリプトを作成
テスト用データで
ローカルでテスト
出力を確認
必要に応じて、スク
リプト、入力データ
を変更
Azureへのデプロイ
本来つなぎたい、入
力、出力を作成

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decode 2017
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[DI05] Azure Event Hubs と Azure Stream Analytics で、”今を処理”する

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[DI05] Azure Event Hubs と Azure Stream Analytics で、”今を処理”する