Contains the entry point for your application.
Contains the entry point for your application.
No vars found in this namespace.
This namespace defines middleware methods for parsing JSON strings. Please see Ziggurat Middleware for more details.
This namespace defines middleware methods for parsing JSON strings. Please see [Ziggurat Middleware](https://github.com/gojek/ziggurat#middleware-in-ziggurat) for more details.
This namespace defines methods for publishing data to
Kafka topics. The methods defined here are essentially wrapper
around variants of send
methods defined in
org.apache.kafka.clients.producer.KafkaProducer
.
At the time of initialization, an instance of
org.apache.kafka.clients.producer.KafkaProducer
is constructed using config values provided in resources/config.edn
.
A producer can be configured for each of the stream-routes in config.edn. Please see the example below
:stream-router {:default {:application-id "test"
:bootstrap-servers "localhost:9092"
:stream-threads-count [1 :int]
:origin-topic "topic"
:channels {:channel-1 {:worker-count [10 :int]
:retry {:count [5 :int]
:enabled [true :bool]}}}
:producer {:bootstrap-servers "localhost:9092"
:acks "all"
:retries-config 5
:max-in-flight-requests-per-connection 5
:enable-idempotence false
:value-serializer "org.apache.kafka.common.serialization.StringSerializer"
:key-serializer "org.apache.kafka.common.serialization.StringSerializer"}}
Please see the documentation for send
for publishing data via Kafka producers
These are the KafkaProducer configs currenlty supported in Ziggurat.
Please see producer configs for a complete list of all producer configs available in Kafka.
This namespace defines methods for publishing data to Kafka topics. The methods defined here are essentially wrapper around variants of `send` methods defined in `org.apache.kafka.clients.producer.KafkaProducer`. At the time of initialization, an instance of `org.apache.kafka.clients.producer.KafkaProducer` is constructed using config values provided in `resources/config.edn`. A producer can be configured for each of the stream-routes in config.edn. Please see the example below ``` :stream-router {:default {:application-id "test" :bootstrap-servers "localhost:9092" :stream-threads-count [1 :int] :origin-topic "topic" :channels {:channel-1 {:worker-count [10 :int] :retry {:count [5 :int] :enabled [true :bool]}}} :producer {:bootstrap-servers "localhost:9092" :acks "all" :retries-config 5 :max-in-flight-requests-per-connection 5 :enable-idempotence false :value-serializer "org.apache.kafka.common.serialization.StringSerializer" :key-serializer "org.apache.kafka.common.serialization.StringSerializer"}} ``` Please see the documentation for `send` for publishing data via Kafka producers These are the KafkaProducer configs currenlty supported in Ziggurat. - bootstrap.servers - acks - retries - key.serializer - value.serializer - max.in.flight.requests.per.connection - enable.idempotencecd Please see [producer configs](http://kafka.apache.org/documentation.html#producerconfigs) for a complete list of all producer configs available in Kafka.
Sentry reporting functions used by both Ziggurat and the actor.
Sentry reporting functions used by both Ziggurat and the actor.
This namespace creates a tracer that can be used to trace the various stages of the application workflow.
The following flows are traced:
At the time of initialization, an instance of io.opentracing Tracer
is created based on the configuration.
If tracer is disabled, then a NoopTracer
is created,
which will basically do nothing.
If tracer is enabled, then by default a Jaeger tracer will be created based on the environment variables. Please refer Jaeger Configuration and Jaeger Architecture to set the respective env variables.
Example Jaeger Env Config:
JAEGER_SERVICE_NAME: "service-name" JAEGER_AGENT_HOST: "localhost" JAEGER_AGENT_PORT: 6831
Custom tracer can be created by passing the name of a custom tracer
provider function as :custom-provider
.The corresponding function
will be executed to create the tracer.
In the event of any errors, a NoopTracer will be created
Example tracer configuration:
` :tracer {:enabled [true :bool]
:custom-provider ""}
`
Usage:
In
ziggurat.streams/traced-handler-fn`, around the execution of the handler function,
a span is started, activated and finished. If there are trace-id headers in the kafka message,
this span will be tied to the same trace. If not, a new trace will be started.
Any part of the handler function execution can be traced as a child span of this activated parent span. Please refer to the doc to understand how to create child spans.
The trace ids are propagated to rabbitmq using io.opentracing.contrib.rabbitmq.TracingConnection
.
Hence rabbitmq flows are also traced.
The trace ids are propagated back to kafka using io.opentracing.contrib.kafka.TracingKafkaProducer
.
Hence push back to kafka flow is traced.
`
This namespace creates a [tracer](https://opentracing.io/docs/overview/tracers/) that can be used to trace the various stages of the application workflow. The following flows are traced: 1. Normal basic consume 2. Retry via rabbitmq 3. Produce to rabbitmq channel 4. Produce to another kafka topic At the time of initialization, an instance of `io.opentracing Tracer` is created based on the configuration. - If tracer is disabled, then a `NoopTracer` is created, which will basically do nothing. - If tracer is enabled, then by default a [Jaeger](https://www.jaegertracing.io/) tracer will be created based on the environment variables. Please refer [Jaeger Configuration](https://github.com/jaegertracing/jaeger-client-java/tree/master/jaeger-core#configuration-via-environment) and [Jaeger Architecture](https://www.jaegertracing.io/docs/1.13/architecture/) to set the respective env variables. Example Jaeger Env Config: ` JAEGER_SERVICE_NAME: "service-name" JAEGER_AGENT_HOST: "localhost" JAEGER_AGENT_PORT: 6831 ` - Custom tracer can be created by passing the name of a custom tracer provider function as `:custom-provider`.The corresponding function will be executed to create the tracer. In the event of any errors, a NoopTracer will be created Example tracer configuration: ` :tracer {:enabled [true :bool] :custom-provider ""} ` Usage: ` In `ziggurat.streams/traced-handler-fn`, around the execution of the handler function, a span is started, activated and finished. If there are trace-id headers in the kafka message, this span will be tied to the same trace. If not, a new trace will be started. Any part of the handler function execution can be traced as a child span of this activated parent span. Please refer to the [doc](https://github.com/opentracing/opentracing-java#starting-a-new-span) to understand how to create child spans. The trace ids are propagated to rabbitmq using `io.opentracing.contrib.rabbitmq.TracingConnection`. Hence rabbitmq flows are also traced. The trace ids are propagated back to kafka using `io.opentracing.contrib.kafka.TracingKafkaProducer`. Hence push back to kafka flow is traced. `
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