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Commit a1dc525

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author
Brian Strauch
authored
remove sr api key prompt (#1664)
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‎_includes/shared/markup/ccloud/ccloud-sr-consume.adoc‎

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You will be prompted for the Confluent Cloud Schema Registry credentials as shown below, which you can find in the `configuration/ccloud.properties` configuration file.
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Look for the configuration parameter `basic.auth.user.info`, whereby the ":" is the delimiter between the key and secret.
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```
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Enter your Schema Registry API key:
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Enter your Schema Registry API secret:
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```
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When the console producer starts, it will log some messages and hang, waiting for your input. Type in one line at a time and press enter to send it. Each line represents an event. To send all of the events below, paste the following into the prompt and press enter:
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Next, let's open up a consumer to read records from the new topic.
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Next, let's open up a consumer to read records from the new topic.
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From the same terminal you used to create the topic above, run the following command to start a console consumer with the `ccloud` CLI:
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From the same terminal you used to create the topic above, run the following command to start a console consumer with the Confluent CLI:
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<pre class="snippet"><code class="shell">{% include_raw tutorials/console-consumer-producer-avro/confluent/code/tutorial-steps/dev/harness-console-consumer-keys.sh %}</code></pre>
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You will be prompted for the Confluent Cloud Schema Registry credentials as shown below.
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Enter the values you got from when you enabled Schema Registry in the Confluent Cloud Console.
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```
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Enter your Schema Registry API key:
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Enter your Schema Registry API secret:
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```
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The consumer will start up and block waiting for records, you won't see any output until after the next step.
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‎_includes/tutorials/creating-first-apache-kafka-streams-application/confluent/markup/dev/run-consumer.adoc‎

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Now that the Kafka Streams application is running, run a command line consumer using the `ccloud` CLI to view the events (your `ccloud` context should be set to the proper environment, cluster, and API Key (see Step 4 above and https://docs.confluent.io/ccloud-cli/current/command-reference/index.html[Confluent CLI Reference] for additional details).
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Now that the Kafka Streams application is running, run a command line consumer using the Confluent CLI to view the events (your `confluent` context should be set to the proper environment, cluster, and API Key (see Step 4 above and https://docs.confluent.io/confluent-cli/current/command-reference/overview.html[Confluent CLI Reference] for additional details).
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Then, in a new terminal window, run the following console consumer to view the events being generated by the data generator and produced to the `random-strings` topic from the `Randomizer` class in your Kafka Streams application. These are the events that have been streamed into the topology (`.stream(inputTopic, Consumed.with(stringSerde, stringSerde)`).
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‎_includes/tutorials/finding-distinct/confluent/markup/dev/ccloud-run-produce.adoc‎

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<pre class="snippet"><code class="bash">{% include_raw tutorials/finding-distinct/confluent/code/tutorial-steps/dev/ccloud-produce-events.sh %}</code></pre>
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You will be prompted for the Confluent Cloud Schema Registry credentials as shown below, which you can find in the `configuration/ccloud.properties` configuration file.
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Look for the configuration parameter `basic.auth.user.info`, whereby the ":" is the delimiter between the key and secret.
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```
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Enter your Schema Registry API key:
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Enter your Schema Registry API secret:
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```
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When the producer starts, it will log some messages and hang, waiting for your input. Each line represents input data for the Kafka Streams application.
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To send all of the events below, paste the following into the prompt and press enter:
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Enter `Ctrl-C` to exit.
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In the next steps we will run a consumer to observe the distinct click events. You can experiment with various orderings of the records in order to observe what makes a click event distinct. By default the distinct event window store looks for distinct clicks over a 2-minute duration.
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In the next steps we will run a consumer to observe the distinct click events. You can experiment with various orderings of the records in order to observe what makes a click event distinct. By default the distinct event window store looks for distinct clicks over a 2-minute duration.

‎_includes/tutorials/joining-stream-table/confluent/markup/dev/ccloud-produce-movies.adoc‎

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<pre class="snippet"><code class="json">{% include_raw tutorials/joining-stream-table/kstreams/code/tutorial-steps/dev/movies.json %}</code></pre>
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In this case the table data originates from a Kafka topic that was populated by a console producer using `ccloud` CLI but this doesn't always have to be the case. You can use Kafka Connect to stream data from a source system (such as a database) into a Kafka topic, which could then be the foundation for a lookup table. For further reading checkout this tutorial on link:{{ "connect-add-key-to-source/kstreams.html" | relative_url }}[creating a Kafka Streams table from SQLite data using Kafka Connect].
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In this case the table data originates from a Kafka topic that was populated by a console producer using the Confluent CLI but this doesn't always have to be the case. You can use Kafka Connect to stream data from a source system (such as a database) into a Kafka topic, which could then be the foundation for a lookup table. For further reading checkout this tutorial on link:{{ "connect-add-key-to-source/kstreams.html" | relative_url }}[creating a Kafka Streams table from SQLite data using Kafka Connect].

‎_includes/tutorials/kafka-connect-datagen/confluent/markup/dev/check-connector.adoc‎

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To check the status of the connector from the command line, you have the same two options as provisioning.
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*Option 1.* Using the `ccloud` CLI.
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*Option 1.* Using the Confluent CLI.
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<pre class="snippet"><code class="shell">{% include_raw tutorials/kafka-connect-datagen/confluent/code/tutorial-steps/dev/check-connector.sh %}</code></pre>

‎_includes/tutorials/session-windows/confluent/markup/dev/ccloud-run-consumer.adoc‎

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confluent kafka topic consume output-topic --from-beginning --print-key
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```
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include::_includes/shared/markup/ccloud/ccloud-sr-consume.adoc[]
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Your results should look something like this:
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<pre class="snippet"><code class="shell">

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