{"action":"created","comment":{"url":"https://api.github.com/repos/wepay/kafka-connect-bigquery/pulls/comments/75890066","id":75890066,"diff_hunk":"@@ -25,160 +31,214 @@ datasets=.*=\n keyfile=\n ```\n \n-You'll need to pick a BigQuery project to write to, a dataset to write to in that project, and\n+You'll need to choose a BigQuery project to write to, a dataset from that project to write to, and\n provide the location of a JSON key file that can be used to access a BigQuery service account that\n can write to the project/dataset pair. Once you've decided on these properties, fill them in and\n save the properties file.\n \n-Once you get more familiar with the connector, you might want to revisit the connector.properties\n+Once you get more familiar with the connector, you might want to revisit the `connector.properties`\n file and experiment with tweaking its settings.\n \n-### Cherry-picking Schema Registry patches\n+### Cherry-Picking Schema Registry Patches\n+\n+> **NOTE:** You can skip this step if you don't plan on using multiple topics with different names \n+but identical schemas, or the [Avro] bytes type.\n+\n+The connector depends on some commits in Confluent's [Schema Registry] that have not yet been \n+included in a released version. As a result, there is some external work involved in building the \n+connector. Here is what you need to do before building:\n+\n+1. Checkout Schema Registry locally.\n \n-**NOTE: You can skip this step if you don't plan on using multiple topics with different names but\n-identical schemas, or the Avro bytes type**\n+1. Checkout the `v3.0.0` release tag:\n \n-The connector depends on some commits in Confluent's \n-[schema-registry](https://github.com/confluentinc/schema-registry) that have not yet been included\n-in a released version. As a result, there is some external work involved in building the connector.\n-Here is what you need to do before building:\n+   ```bash\n+   git checkout v3.0.0\n+   ```\n \n-1. Checkout [confluentinc/schema-registry](https://github.com/confluentinc/schema-registry)\n-   locally.\n-2. Checkout the v3.0.0 release tag: `git checkout v3.0.0`\n-3. Cherry-pick the following two commits:\n-     1. `git cherry-pick -m 1 f835af3a2fd97911c633c0a13c72c1d6f91dc1eb`\n-     2. `git cherry-pick -m 1 b3fba7f9f8cc2a117aafa9aff8ac2f50c8dc38e9`\n-4. Run `mvn install` in your local schema-registry to install a modified schema-registry 3.0.0 into\n-   your local maven repository\n+1. Cherry-pick the following two commits:\n+\n+   ```bash\n+   git cherry-pick -m 1 f835af3a2fd97911c633c0a13c72c1d6f91dc1eb\n+   git cherry-pick -m 1 b3fba7f9f8cc2a117aafa9aff8ac2f50c8dc38e9\n+   ```\n+\n+1. Run `mvn install` in your local `schema-registry` directory to install a modified \n+   Schema Registry 3.0.0 into your local [Maven] repository.\n    \n-Once a new version of Schema Registry is released, these steps should no loger be required.\n+Once a new version of Schema Registry is released, these steps should no longer be required.\n    \n-### Building and extracting a tarball\n+### Building and Extracting a Tarball\n \n Begin by creating a tarball of the connector:\n \n-`$ ./gradlew tarBall`\n+```bash\n+$ ./gradlew tarBall\n+```\n \n And then extract its contents:\n \n-`$ tar -C build/distributions/ -xvf build/distributions/kafka-connect-bigquery-dist-0.2.tar`\n+```bash\n+$ tar -C build/distributions/ -xvf build/distributions/kafka-connect-bigquery-dist-0.2.tar\n+```\n \n-### Setting up background processes\n+### Setting-Up Background Processes\n \n-Then move into the quickstart directory:\n+Then move into the `quickstart` directory:\n \n-`$ cd quickstart`\n+```bash\n+$ cd quickstart\n+```\n \n-After that, if your confluent installation isn't in a sibling directory to\n-the connector, specify its location (and do so before starting each of the\n-subsequent processes in their own terminal):\n+After that, if your Confluent Platform installation isn't in a sibling directory to the connector, \n+specify its location (and do so before starting each of the subsequent processes in their own \n+terminal):\n \n-`$ export CONFLUENT_DIR=/path/to/confluent`\n+```bash\n+$ export CONFLUENT_DIR=/path/to/confluent\n+```\n \n Then, initialize the background processes necessary for Kafka Connect (one terminal per script):\n (Taken from http://docs.confluent.io/3.0.0/quickstart.html)\n \n-`$ ./zookeeper.sh`\n+```bash\n+$ ./zookeeper.sh\n+```\n \n (wait a little while for it to get on its feet)\n \n-`$ ./kafka.sh`\n+```bash\n+$ ./kafka.sh\n+```\n \n (wait a little while for it to get on its feet)\n \n-`$ ./schema-registry.sh`\n+```bash\n+$ ./schema-registry.sh\n+```\n \n (wait a little while for it to get on its feet)\n \n ### Initializing the Avro Console Producer\n \n-Next, initialize the avro console producer (also in its own terminal):\n+Next, initialize the Avro Console Producer (also in its own terminal):\n \n-`$ ./avro-console-producer.sh`\n+```bash\n+$ ./avro-console-producer.sh\n+```\n \n-Give it some data to start off with (type directly into the avro-console-producer instance):\n+Give it some data to start off with (type directly into the Avro Console Producer instance):\n \n-`{\"f1\":\"Testing the Kafka-BigQuery Connector!\"}`\n+```json\n+{\"f1\":\"Testing the Kafka-BigQuery Connector!\"}\n+```\n \n ### Running the Connector\n \n Finally, initialize the BigQuery connector (also in its own terminal):\n \n-`$ ./connector.sh`\n+```bash\n+$ ./connector.sh\n+```\n \n-### Piping data Through the Connector\n+### Piping Data Through the Connector\n \n-Now you can enter Avro messages of the schema `{\"f1\":\"$SOME_STRING\"}` into\n-the avro console producer instance, and the pipeline instance should write\n-them to BigQuery.\n+Now you can enter Avro messages of the schema `{\"f1\": \"$SOME_STRING\"}` into the Avro Console \n+Producer instance, and the pipeline instance should write them to BigQuery.\n \n-If/when you want to get more adventurous, you can experiment with different\n-schemas and/or topics by adjusting flags given to the avro-console-producer\n-and tweaking the config settings found in the quickstart/properties directory.\n+If you want to get more adventurous, you can experiment with different schemas or topics by \n+adjusting flags given to the Avro Console Producer and tweaking the config settings found in the \n+`quickstart/properties` directory.\n \n ## Integration Testing\n \n-**NOTE**: You must have Docker installed and running on your machine in order to run integration\n+> **NOTE**: You must have [Docker] installed and running on your machine in order to run integration\n tests for the connector.\n \n ### How Integration Testing Works\n \n-Integration tests run by creating Docker instances for Zookeeper, Kafka, Schema Registry, and the\n-Kafka-BigQuery connector itself, then verifying the results using a Junit test.\n+Integration tests run by creating [Docker] instances for [Zookeeper], [Kafka], [Schema Registry], \n+and the Kafka-BigQuery connector itself, then verifying the results using a [JUnit] test.","path":"README.md","position":213,"original_position":213,"commit_id":"47dca514fe3952d857bddb9e91e13bdee75f1cf1","original_commit_id":"47dca514fe3952d857bddb9e91e13bdee75f1cf1","user":{"login":"C0urante","id":8636148,"avatar_url":"https://avatars.githubusercontent.com/u/8636148?v=3","gravatar_id":"","url":"https://api.github.com/users/C0urante","html_url":"https://github.com/C0urante","followers_url":"https://api.github.com/users/C0urante/followers","following_url":"https://api.github.com/users/C0urante/following{/other_user}","gists_url":"https://api.github.com/users/C0urante/gists{/gist_id}","starred_url":"https://api.github.com/users/C0urante/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/C0urante/subscriptions","organizations_url":"https://api.github.com/users/C0urante/orgs","repos_url":"https://api.github.com/users/C0urante/repos","events_url":"https://api.github.com/users/C0urante/events{/privacy}","received_events_url":"https://api.github.com/users/C0urante/received_events","type":"User","site_admin":false},"body":"Recommend changing \"Kafka-BigQuery connector\" to \"BigQuery Connector\".","created_at":"2016-08-23T15:26:26Z","updated_at":"2016-08-23T15:26:26Z","html_url":"https://github.com/wepay/kafka-connect-bigquery/pull/7#discussion_r75890066","pull_request_url":"https://api.github.com/repos/wepay/kafka-connect-bigquery/pulls/7","_links":{"self":{"href":"https://api.github.com/repos/wepay/kafka-connect-bigquery/pulls/comments/75890066"},"html":{"href":"https://github.com/wepay/kafka-connect-bigquery/pull/7#discussion_r75890066"},"pull_request":{"href":"https://api.github.com/repos/wepay/kafka-connect-bigquery/pulls/7"}}},"pull_request":{"url":"https://api.github.com/repos/wepay/kafka-connect-bigquery/pulls/7","id":82287778,"html_url":"https://github.com/wepay/kafka-connect-bigquery/pull/7","diff_url":"https://github.com/wepay/kafka-connect-bigquery/pull/7.diff","patch_url":"https://github.com/wepay/kafka-connect-bigquery/pull/7.patch","issue_url":"https://api.github.com/repos/wepay/kafka-connect-bigquery/issues/7","number":7,"state":"open","locked":false,"title":"Grammatical review of the README","user":{"login":"skyzyx","id":39447,"avatar_url":"https://avatars.githubusercontent.com/u/39447?v=3","gravatar_id":"","url":"https://api.github.com/users/skyzyx","html_url":"https://github.com/skyzyx","followers_url":"https://api.github.com/users/skyzyx/followers","following_url":"https://api.github.com/users/skyzyx/following{/other_user}","gists_url":"https://api.github.com/users/skyzyx/gists{/gist_id}","starred_url":"https://api.github.com/users/skyzyx/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/skyzyx/subscriptions","organizations_url":"https://api.github.com/users/skyzyx/orgs","repos_url":"https://api.github.com/users/skyzyx/repos","events_url":"https://api.github.com/users/skyzyx/events{/privacy}","received_events_url":"https://api.github.com/users/skyzyx/received_events","type":"User","site_admin":false},"body":"* Replace LICENSE.txt with LICENSE.md.\r\n* Performed a grammatical review of the README.\r\n    * Cleaned-up use of linking back to source projects.\r\n    * Synchronized how we refer to projects by name.\r\n    * Reformatted some text to improve 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