Siddhi By Examples

	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R
1	Siddhi Basics	Event Cleansing	Values & Types	Input Data Mapping	Data Transformation	Event Store Integration	Service Integration	Data Summarization	Data Pipelining	Pattern & Trends	Error Handling	Rate Limiting	Output Data Mapping	Machine Learning	On-demand Processing	Event Consumption	Event Publishing
2	Streams & Queries	Value based Filtering (equal & range check\| Null check)	Basic Types (int, long, flot, double, bool, string, object)	JSON	math & logical operations Math operations (from extension)	Inmemory event store (with & without indexby and primary key)	HTTP Service Integration (response code handling and etc..)	TimeBatch window (+sum)	Stream joins	Simple pattern	Logging	Limit based on time	JSON	PMML example	data manipulation in event stores	HTTP	HTTP
3	Source & Sink	IF-Then Else	Map	Protobuf	Transform JSON messages	RDBMS integration (Join & In clauses)	GRPC Service Integration	Time window (+count)	Scatter & Gather example	Counting pattern	Wait & Retry	Limit based on # of events	Protobuf	Tensor flow example	Query named aggregations	HTTPS (auth)	HTTPS (auth)
4	Table & stores	Regex matching	List	Avro	String manipulation (String extension, filleTemplate)	Manipulate data in event stores		LengthBatch window (+avg)	Partitioning	Logical pattern	Publish to error streams	Snapshot Ratelimiting	Avro	Clustering example - streaming ML	Siddhi as a HTTP Service	gRPC	HTTPS (with token)
5	Siddhi App	Using defaults	Null	Avro with external schema registry	Time manipulation	Retrive data from event stores		Length window (+min)	Async event processing (@async)	Non-ocurrence pattern	Out of order event processing		Avro with external schema registry	Classification example - streaming ML	Siddhi as a GRPC Service	NATS	gRPC
6		Type based filtering (InstanceOf)		XML	Unit conversion	Caching for Event Stores		TimeLength window (+distinctCount)	Batching & processing (@async batch size)	Simple sequence			XML	Regression example - streaming ML		Kafka	NATS
7				Text	Cutom Javascript functions	Manipulate data with Native SQL queries		External Time Batch window (+stdDev)	Trigger (startup & periodic)	Counting sequence (trend)			Text			CDC	Kafka
8				KeyValue		Retrieve data from Native SQL queries		External Time window (+avg)	Connecting Siddhi apps	Logical sequence (trend)			KeyValue			RabbitMQ	CDC
9				Binary		MongoDB integration		Session window					Binary			TCP	RabbitMQ
10				CSV		Redis integration		Named window					CSV			File	TCP
11						Elasticsearch integration		Named Aggregation								JMS	File
12								Aggregate by group								GooglePubSub	JMS
13								Filter & sort aggregated data (sort, having)								Amazon SQS	GooglePubSub
14																Email	Amazon SQS
15																Prometheus	Email
16																HL7	Prometheus
17																	HL7
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