GitHub Events Stream

Pull Request Merged Events Stream
In this recipe, we will
1.Set up a Pinot cluster, in the steps
a. Start zookeeper
b. Start controller
c. Start broker
d. Start server
2.Set up a Kafka cluster
3.Create a Kafka topic - pullRequestMergedEvents
4.Create a realtime table - pullRequestMergedEvents and a schema
5.Start a task which reads from GitHub events API and publishes events about merged pull requests to the topic.
6.Query the realtime data
Steps
Using Docker images or Launcher Scripts
Docker
Launcher scripts
Pull docker image
Get the latest Docker image.
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export PINOT_VERSION=latest
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export PINOT_IMAGE=apachepinot/pinot:${PINOT_VERSION}
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docker pull ${PINOT_IMAGE}
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Long Version
Set up the Pinot cluster
Follow the instructions in Advanced Pinot Setup to setup the Pinot cluster with the components:
1.Zookeeper
2.Controller
3.Broker
4.Server
5.Kafka
Create a Kafka topic
Create a Kafka topic called pullRequestMergedEvents for the demo.
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docker exec \
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  -t kafka \
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  /opt/kafka/bin/kafka-topics.sh \
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  --zookeeper pinot-zookeeper:2181/kafka \
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  --partitions=1 --replication-factor=1 \
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  --create --topic pullRequestMergedEvents
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Add Pinot table and schema
The schema is present at examples/stream/githubEvents/pullRequestMergedEvents_schema.json and is also pasted below
pullRequestMergedEvents_schema.json
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{
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  "schemaName": "pullRequestMergedEvents",
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  "dimensionFieldSpecs": [
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    {
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      "name": "title",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "labels",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "userId",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "userType",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "authorAssociation",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "mergedBy",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "assignees",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "authors",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "committers",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "requestedReviewers",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "requestedTeams",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "reviewers",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "commenters",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "repo",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "organization",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    }
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  ],
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  "metricFieldSpecs": [
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    {
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      "name": "count",
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      "dataType": "LONG",
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      "defaultNullValue": 1
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    },
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    {
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      "name": "numComments",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numReviewComments",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numCommits",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numLinesAdded",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numLinesDeleted",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numFilesChanged",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numAuthors",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numCommitters",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numReviewers",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numCommenters",
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      "dataType": "LONG"
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    },
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    {
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      "name": "createdTimeMillis",
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      "dataType": "LONG"
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    },
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    {
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      "name": "elapsedTimeMillis",
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      "dataType": "LONG"
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    }
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  ],
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  "dateTimeFieldSpecs": [
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    {
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      "name": "mergedTimeMillis",
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      "dataType": "TIMESTAMP",
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      "format": "1:MILLISECONDS:TIMESTAMP",
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      "granularity": "1:MILLISECONDS"
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    }
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  ]
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}
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The table config is present at examples/stream/githubEvents/docker/pullRequestMergedEvents_realtime_table_config.json and is also pasted below.
Note
If you're setting this up on a pre-configured cluster, set the properties stream.kafka.zk.broker.url and stream.kafka.broker.list correctly, depending on the configuration of your Kafka cluster.
pullRequestMergedEvents_realtime_table_config.json
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{
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  "tableName": "pullRequestMergedEvents",
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  "tableType": "REALTIME",
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  "segmentsConfig": {
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    "timeColumnName": "mergedTimeMillis",
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    "timeType": "MILLISECONDS",
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    "retentionTimeUnit": "DAYS",
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    "retentionTimeValue": "60",
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    "schemaName": "pullRequestMergedEvents",
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    "replication": "1",
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    "replicasPerPartition": "1"
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  },
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  "tenants": {},
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  "tableIndexConfig": {
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    "loadMode": "MMAP",
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    "invertedIndexColumns": [
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      "organization",
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      "repo"
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    ],
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    "streamConfigs": {
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      "streamType": "kafka",
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      "stream.kafka.consumer.type": "simple",
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      "stream.kafka.topic.name": "pullRequestMergedEvents",
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      "stream.kafka.decoder.class.name": "org.apache.pinot.plugin.stream.kafka.KafkaJSONMessageDecoder",
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      "stream.kafka.consumer.factory.class.name": "org.apache.pinot.plugin.stream.kafka20.KafkaConsumerFactory",
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      "stream.kafka.zk.broker.url": "pinot-zookeeper:2181/kafka",
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      "stream.kafka.broker.list": "kafka:9092",
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      "realtime.segment.flush.threshold.time": "12h",
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      "realtime.segment.flush.threshold.rows": "100000",
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      "stream.kafka.consumer.prop.auto.offset.reset": "smallest"
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    }
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  },
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  "metadata": {
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    "customConfigs": {}
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  }
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}
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Add the table and schema using the following command
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$ docker run \
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    --network=pinot-demo \
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    --name pinot-streaming-table-creation \
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    ${PINOT_IMAGE} AddTable \
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    -schemaFile examples/stream/githubEvents/pullRequestMergedEvents_schema.json \
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    -tableConfigFile examples/stream/githubEvents/docker/pullRequestMergedEvents_realtime_table_config.json \
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    -controllerHost pinot-controller \
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    -controllerPort 9000 \
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    -exec
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Executing command: AddTable -tableConfigFile examples/stream/githubEvents/docker/pullRequestMergedEvents_realtime_table_config.json -schemaFile examples/stream/githubEvents/pullRequestMergedEvents_schema.json -controllerHost pinot-controller -controllerPort 9000 -exec
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Sending request: http://pinot-controller:9000/schemas to controller: 20c241022a96, version: Unknown
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{"status":"Table pullRequestMergedEvents_REALTIME succesfully added"}
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Publish events
Start streaming GitHub events into the Kafka topic
Prerequisites
Generate a personal access token on GitHub.
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$ docker run --rm -ti \
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    --network=pinot-demo \
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    --name pinot-github-events-into-kafka \
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    -d ${PINOT_IMAGE} StreamGitHubEvents \
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    -schemaFile examples/stream/githubEvents/pullRequestMergedEvents_schema.json \
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    -topic pullRequestMergedEvents \
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    -personalAccessToken <your_github_personal_access_token> \
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    -kafkaBrokerList kafka:9092
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Short Version
For a single command to setup all the above steps, use the following command. Make sure to stop any previous running Pinot services.
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$ docker run --rm -ti \
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    --network=pinot-demo \
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    --name pinot-github-events-quick-start \
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     ${PINOT_IMAGE} GitHubEventsQuickStart \
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    -personalAccessToken <your_github_personal_access_token> 
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Get Pinot
Follow instructions in Build from source to get the latest Pinot code
Long Version
Set up the Pinot cluster
Follow the instructions in Advanced Pinot Setup to setup the Pinot cluster with the components:
1.Zookeeper
2.Controller
3.Broker
4.Server
5.Kafka
Create a Kafka topic
Download Apache Kafka release.
Create a Kafka topic called pullRequestMergedEvents for the demo.
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$ bin/kafka-topics.sh \
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  --create \
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  --bootstrap-server localhost:19092 \
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  --replication-factor 1 \
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  --partitions 1 \
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  --topic pullRequestMergedEvents
Copied!
Add Pinot table and schema
Schema can be found at /examples/stream/githubevents/ in the release, and is also pasted below:
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{
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  "schemaName": "pullRequestMergedEvents",
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  "dimensionFieldSpecs": [
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    {
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      "name": "title",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "labels",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "userId",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "userType",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "authorAssociation",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "mergedBy",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "assignees",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "authors",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "committers",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "requestedReviewers",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "requestedTeams",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "reviewers",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "commenters",
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      "dataType": "STRING",
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      "singleValueField": false,
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      "defaultNullValue": ""
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    },
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    {
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      "name": "repo",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    },
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    {
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      "name": "organization",
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      "dataType": "STRING",
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      "defaultNullValue": ""
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    }
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  ],
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  "metricFieldSpecs": [
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    {
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      "name": "count",
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      "dataType": "LONG",
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      "defaultNullValue": 1
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    },
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    {
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      "name": "numComments",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numReviewComments",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numCommits",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numLinesAdded",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numLinesDeleted",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numFilesChanged",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numAuthors",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numCommitters",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numReviewers",
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      "dataType": "LONG"
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    },
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    {
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      "name": "numCommenters",
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      "dataType": "LONG"
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    },
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    {
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      "name": "createdTimeMillis",
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      "dataType": "LONG"
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    },
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    {
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      "name": "elapsedTimeMillis",
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      "dataType": "LONG"
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    }
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  ],
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  "timeFieldSpec": {
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    "incomingGranularitySpec": {
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      "timeType": "MILLISECONDS",
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      "timeFormat": "EPOCH",
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      "dataType": "LONG",
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      "name": "mergedTimeMillis"
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    }
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  }
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}
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Table config can be found at /examples/stream/githubevents/ in the release, and is also pasted below.
Note
If you're setting this up on a pre-configured cluster, set the properties stream.kafka.zk.broker.url and stream.kafka.broker.list correctly, depending on the configuration of your Kafka cluster.
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{
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  "tableName": "pullRequestMergedEvents",
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  "tableType": "REALTIME",
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  "segmentsConfig": {
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    "timeColumnName": "mergedTimeMillis",
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    "timeType": "MILLISECONDS",
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    "retentionTimeUnit": "DAYS",
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    "retentionTimeValue": "60",
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    "schemaName": "pullRequestMergedEvents",
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    "replication": "1",
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    "replicasPerPartition": "1"
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  },
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  "tenants": {},
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  "tableIndexConfig": {
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    "loadMode": "MMAP",
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    "invertedIndexColumns": [
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      "organization",
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      "repo"
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    ],
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    "streamConfigs": {
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      "streamType": "kafka",
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      "stream.kafka.consumer.type": "simple",
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      "stream.kafka.topic.name": "pullRequestMergedEvents",
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      "stream.kafka.decoder.class.name": "org.apache.pinot.plugin.stream.kafka.KafkaJSONMessageDecoder",
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      "stream.kafka.consumer.factory.class.name": "org.apache.pinot.plugin.stream.kafka20.KafkaConsumerFactory",
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      "stream.kafka.zk.broker.url": "localhost:2191/kafka",
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      "stream.kafka.broker.list": "localhost:19092",
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      "realtime.segment.flush.threshold.time": "12h",
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      "realtime.segment.flush.threshold.rows": "100000",
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      "stream.kafka.consumer.prop.auto.offset.reset": "smallest"
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    }
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  },
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  "metadata": {
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    "customConfigs": {}
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  }
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}
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​
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Add the table and schema using the command
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$ bin/pinot-admin.sh AddTable \
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  -tableConfigFile $PATH_TO_CONFIGS/examples/stream/githubEvents/pullRequestMergedEvents_realtime_table_config.json \
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  -schemaFile $PATH_TO_CONFIGS/examples/stream/githubEvents/pullRequestMergedEvents_schema.json \
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  -exec
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Publish events
Start streaming GitHub events into the Kafka topic
Prerequisites
Generate a personal access token on GitHub.
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$ bin/pinot-admin.sh StreamGitHubEvents \
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  -topic pullRequestMergedEvents \
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  -personalAccessToken <your_github_personal_access_token> \
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  -kafkaBrokerList localhost:19092 \
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  -schemaFile $PATH_TO_CONFIGS/examples/stream/githubEvents/pullRequestMergedEvents_schema.json
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Short Version
For a single command to setup all the above steps
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$ bin/pinot-admin.sh GitHubEventsQuickStart \
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  -personalAccessToken <your_github_personal_access_token>
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Kubernetes cluster
If you already have a Kubernetes cluster with Pinot and Kafka (see Running Pinot in Kubernetes), first create the topic and then setup the table and streaming using
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$ cd kubernetes/helm
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$ kubectl apply -f pinot-github-realtime-events.yml
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Query
Head over to the Query Console to checkout the data!
Visualizing on SuperSet
You can use SuperSet to visualize this data. Some of the interesting insights we captures were
Most Active organizations during the lockdown
Repositories by number of commits in the Apache organization
To integrate with SuperSet you can check out the SuperSet Integrations page.
Last modified 4mo ago
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Contents
Pull Request Merged Events Stream
Steps
Using Docker images or Launcher Scripts
Kubernetes cluster
Query
Visualizing on SuperSet