[GitHub] [beam] KhaninArtur commented on a change in pull request #13112: [BEAM-11065] Apache Beam pipeline example to ingest from Apache Kafka to Google Pub/Sub

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KhaninArtur commented on a change in pull request #13112:
URL: https://github.com/apache/beam/pull/13112#discussion_r539479623



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File path: examples/kafka-to-pubsub/README.md
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+
+# Apache Beam pipeline example to ingest data from Apache Kafka to Google Cloud Pub/Sub
+
+This directory contains an [Apache Beam](https://beam.apache.org/) pipeline example that creates a pipeline
+to read data from a single or multiple topics from
+[Apache Kafka](https://kafka.apache.org/) and write data into a single topic
+in [Google Cloud Pub/Sub](https://cloud.google.com/pubsub).
+
+Supported data formats:
+- Serializable plaintext formats, such as JSON
+- [PubSubMessage](https://cloud.google.com/pubsub/docs/reference/rest/v1/PubsubMessage).
+
+Supported input source configurations:
+- Single or multiple Apache Kafka bootstrap servers
+- Apache Kafka SASL/SCRAM authentication over plaintext or SSL connection
+- Secrets vault service [HashiCorp Vault](https://www.vaultproject.io/).
+
+Supported destination configuration:
+- Single Google Cloud Pub/Sub topic.
+
+In a simple scenario, the example will create an Apache Beam pipeline that will read messages from a source Kafka server with a source topic, and stream the text messages into specified Pub/Sub destination topic. Other scenarios may need Kafka SASL/SCRAM authentication, that can be performed over plain text or SSL encrypted connection. The example supports using a single Kafka user account to authenticate in the provided source Kafka servers and topics. To support SASL authenticaton over SSL the example will need an SSL certificate location and access to a secrets vault service with Kafka username and password, currently supporting HashiCorp Vault.
+
+## Requirements
+
+- Java 8
+- Kafka Bootstrap Server(s) up and running
+- Existing source Kafka topic(s)
+- An existing Pub/Sub destination output topic
+- (Optional) An existing HashiCorp Vault
+- (Optional) A configured secure SSL connection for Kafka
+
+## Getting Started
+
+This section describes what is needed to get the exaple up and running.
+- Assembling the Uber-JAR
+- Local execution
+- Google Dataflow Template
+  - Set up the environment
+  - Creating the Dataflow Flex Template
+  - Create a Dataflow job to ingest data using the template
+- Avro format transferring.
+- E2E tests (TBD)
+
+## Assembling the Uber-JAR
+
+To run this example the Java project should be built into
+an Uber JAR file.
+
+Navigate to the Beam folder:
+
+```
+cd /path/to/beam
+```
+
+In order to create Uber JAR with Gradle, [Shadow plugin](https://github.com/johnrengelman/shadow)
+is used. It creates the `shadowJar` task that builds the Uber JAR:
+
+```
+./gradlew -p examples/kafka-to-pubsub clean shadowJar
+```
+
+ℹ️ An **Uber JAR** - also known as **fat JAR** - is a single JAR file that contains
+both target package *and* all its dependencies.
+
+The result of the `shadowJar` task execution is a `.jar` file that is generated
+under the `build/libs/` folder in kafka-to-pubsub directory.
+
+## Local execution

Review comment:
       Renamed both sections




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