Protobuf
The druid-protobuf-extensions
provides the Protobuf Parser for . See corresponding docs for details.
This example demonstrates how to load Protobuf messages from Kafka. Please read the Load from Kafka tutorial first, and see documentation for more details.
The files used in this example are found at ./examples/quickstart/protobuf
in your Druid directory.
For this example:
- Kafka broker host is
localhost:9092
- Kafka topic is
metrics_pb
- Datasource name is
metrics-protobuf
Here is a JSON example of the ‘metrics’ data schema used in the example.
syntax = "proto3";
message Metrics {
string unit = 1;
string http_method = 2;
string timestamp = 4;
string http_code = 5;
string page = 6;
string metricType = 7;
string server = 8;
}
Next, we use the protoc
Protobuf compiler to generate the descriptor file and save it as metrics.desc
. The descriptor file must be either in the classpath or reachable by URL. In this example the descriptor file was saved at /tmp/metrics.desc
, however this file is also available in the example files. From your Druid install directory:
Below is the complete Supervisor spec JSON to be submitted to the Overlord. Make sure these keys are properly configured for successful ingestion.
Important supervisor properties
descriptor
for the descriptor file URLprotoMessageType
from the proto definitionparser
should havetype
set toprotobuf
, but note that theformat
of theparseSpec
must bejson
If necessary, from your Kafka installation directory run the following command to create the Kafka topic
./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic metrics_pb
This example script requires protobuf
and kafka-python
modules. With the topic in place, messages can be inserted running the following command from your Druid installation directory
./bin/generate-example-metrics | ./quickstart/protobuf/pb_publisher.py
which should print messages like this
millisecondsGETR"2017-04-06T03:23:56Z*2002/list:request/latencyBwww1.example.com
If your supervisor created in the previous step is running, the indexing tasks should begin producing the messages and the data will soon be available for querying in Druid.
The files provided in the example quickstart can be generated in the following manner starting with only metrics.proto
.
The descriptor file is generated using protoc
Protobuf compiler. Given a .proto
file, a .desc
file can be generated like so.
protoc -o metrics.desc metrics.proto
metrics_pb2.py
is also generated with protoc
#!/usr/bin/env python
import json
from kafka import KafkaProducer
from metrics_pb2 import Metrics
producer = KafkaProducer(bootstrap_servers='localhost:9092')
topic = 'metrics_pb'
for row in iter(sys.stdin):
d = json.loads(row)
metrics = Metrics()
for k, v in d.items():
setattr(metrics, k, v)
pb = metrics.SerializeToString()
producer.send(topic, pb)
producer.flush()