Tutorial: Connecting Pulsar with Apache Cassandra
This tutorial provides a hands-on look at how you can move data out of Pulsar without writing a single line of code. It is helpful to review the concepts for Pulsar I/O in tandem with running the steps in this guide to gain a deeper understanding. At the end of this tutorial, you will be able to:
- Connect your Pulsar cluster with your Cassandra cluster
- These instructions assume you are running Pulsar in standalone mode. However all the commands used in this tutorial should be able to be used in a multi-nodes Pulsar cluster without any changes.
- All the instructions are assumed to run at the root directory of a Pulsar binary distribution.
Installing Pulsar​
To get started running Pulsar, download a binary tarball release in one of the following ways:
-
by clicking the link below and downloading the release from an Apache mirror:
-
from the Pulsar downloads page
-
from the Pulsar releases page
-
using wget:
$ wget https://archive.apache.org/dist/pulsar/pulsar-2.3.0/apache-pulsar-2.3.0-bin.tar.gz
Once the tarball is downloaded, untar it and cd
into the resulting directory:
$ tar xvfz apache-pulsar-2.3.0-bin.tar.gz
$ cd apache-pulsar-2.3.0
Installing Builtin Connectors​
Since release 2.3.0
, Pulsar releases all the builtin
connectors as individual archives.
If you would like to enable those builtin
connectors, you can download the connectors "NAR"
archives and from the Pulsar downloads page.
After downloading the desired builtin connectors, these archives should be places under
the connectors
directory where you have unpacked the Pulsar distribution.
# Unpack regular Pulsar tarball and copy connectors NAR archives
$ tar xvfz /path/to/apache-pulsar-2.3.0-bin.tar.gz
$ cd apache-pulsar-2.3.0
$ mkdir connectors
$ cp -r /path/to/downloaded/connectors/*.nar ./connectors
$ ls connectors
pulsar-io-aerospike-2.3.0.nar
pulsar-io-cassandra-2.3.0.nar
pulsar-io-kafka-2.3.0.nar
pulsar-io-kinesis-2.3.0.nar
pulsar-io-rabbitmq-2.3.0.nar
pulsar-io-twitter-2.3.0.nar
...
You can also use the Docker image apachepulsar/pulsar-all:2.3.0
which already
comes with all the available builtin connectors.
Start Pulsar Service​
bin/pulsar standalone
All the components of a Pulsar service will start in order. You can curl those pulsar service endpoints to make sure Pulsar service is up running correctly.
- Check pulsar binary protocol port.
telnet localhost 6650
- Check pulsar function cluster
curl -s http://localhost:8080/admin/v2/worker/cluster
Example output:
[{"workerId":"c-standalone-fw-localhost-6750","workerHostname":"localhost","port":6750}]
- Make sure public tenant and default namespace exist
curl -s http://localhost:8080/admin/v2/namespaces/public
Example outoupt:
["public/default","public/functions"]
- All builtin connectors should be listed as available.
curl -s http://localhost:8080/admin/v2/functions/connectors
Example output:
[{"name":"aerospike","description":"Aerospike database sink","sinkClass":"org.apache.pulsar.io.aerospike.AerospikeStringSink"},{"name":"cassandra","description":"Writes data into Cassandra","sinkClass":"org.apache.pulsar.io.cassandra.CassandraStringSink"},{"name":"kafka","description":"Kafka source and sink connector","sourceClass":"org.apache.pulsar.io.kafka.KafkaStringSource","sinkClass":"org.apache.pulsar.io.kafka.KafkaBytesSink"},{"name":"kinesis","description":"Kinesis sink connector","sinkClass":"org.apache.pulsar.io.kinesis.KinesisSink"},{"name":"rabbitmq","description":"RabbitMQ source connector","sourceClass":"org.apache.pulsar.io.rabbitmq.RabbitMQSource"},{"name":"twitter","description":"Ingest data from Twitter firehose","sourceClass":"org.apache.pulsar.io.twitter.TwitterFireHose"}]
If an error occurred while starting Pulsar service, you may be able to seen exception at the terminal you are running pulsar/standalone
,
or you can navigate the logs
directory under the Pulsar directory to view the logs.
Connect Pulsar to Apache Cassandra​
Make sure you have docker available at your laptop. If you don't have docker installed, you can follow the instructions.
We are using cassandra
docker image to start a single-node cassandra cluster in Docker.
Setup the Cassandra Cluster​
Start a Cassandra Cluster​
docker run -d --rm --name=cassandra -p 9042:9042 cassandra:3.11
Before moving to next steps, make sure the cassandra cluster is up running.
- Make sure the docker process is running.
docker ps
- Check the cassandra logs to make sure cassandra process is running as expected.
docker logs cassandra
- Check the cluster status
docker exec cassandra nodetool status
Example output:
Datacenter: datacenter1
=======================
Status=Up/Down
|/ State=Normal/Leaving/Joining/Moving
-- Address Load Tokens Owns (effective) Host ID Rack
UN 172.17.0.2 103.67 KiB 256 100.0% af0e4b2f-84e0-4f0b-bb14-bd5f9070ff26 rack1
Create keyspace and table​
We are using cqlsh
to connect to the cassandra cluster to create keyspace and table.
$ docker exec -ti cassandra cqlsh localhost
Connected to Test Cluster at localhost:9042.
[cqlsh 5.0.1 | Cassandra 3.11.2 | CQL spec 3.4.4 | Native protocol v4]
Use HELP for help.
cqlsh>
All the following commands are executed in cqlsh
.
Create keyspace pulsar_test_keyspace
​
cqlsh> CREATE KEYSPACE pulsar_test_keyspace WITH replication = {'class':'SimpleStrategy', 'replication_factor':1};
Create table pulsar_test_table
​
cqlsh> USE pulsar_test_keyspace;
cqlsh:pulsar_test_keyspace> CREATE TABLE pulsar_test_table (key text PRIMARY KEY, col text);
Configure a Cassandra Sink​
Now that we have a Cassandra cluster running locally. In this section, we will configure a Cassandra sink connector. The Cassandra sink connector will read messages from a Pulsar topic and write the messages into a Cassandra table.
In order to run a Cassandra sink connector, you need to prepare a yaml config file including informations that Pulsar IO runtime needs to know. For example, how Pulsar IO can find the cassandra cluster, what is the keyspace and table that Pulsar IO will be using for writing Pulsar messages to.
Create a file examples/cassandra-sink.yml
and edit it to fill in following content:
configs:
roots: "localhost:9042"
keyspace: "pulsar_test_keyspace"
columnFamily: "pulsar_test_table"
keyname: "key"
columnName: "col"
To learn more about Cassandra Connector, see Cassandra Connector.
Submit a Cassandra Sink​
Pulsar provides the CLI for running and managing Pulsar I/O connectors.
We can run following command to sink a sink connector with type cassandra
and config file examples/cassandra-sink.yml
.
Note​
The
sink-type
parameter of the currently built-in connectors is determined by the setting of thename
parameter specified in the pulsar-io.yaml file.
bin/pulsar-admin sink create \
--tenant public \
--namespace default \
--name cassandra-test-sink \
--sink-type cassandra \
--sink-config-file examples/cassandra-sink.yml \
--inputs test_cassandra
Once the command is executed, Pulsar will create a sink connector named cassandra-test-sink
and the sink connector will be running
as a Pulsar Function and write the messages produced in topic test_cassandra
to Cassandra table pulsar_test_table
.
Inspect the Cassandra Sink​
You can use sink CLI and source CLI for inspecting and managing the IO connectors.
Retrieve Sink Info​
bin/pulsar-admin sink get \
--tenant public \
--namespace default \
--name cassandra-test-sink
Example output:
{
"tenant": "public",
"namespace": "default",
"name": "cassandra-test-sink",
"className": "org.apache.pulsar.io.cassandra.CassandraStringSink",
"inputSpecs": {
"test_cassandra": {
"isRegexPattern": false
}
},
"configs": {
"roots": "localhost:9042",
"keyspace": "pulsar_test_keyspace",
"columnFamily": "pulsar_test_table",
"keyname": "key",
"columnName": "col"
},
"parallelism": 1,
"processingGuarantees": "ATLEAST_ONCE",
"retainOrdering": false,
"autoAck": true,
"archive": "builtin://cassandra"
}
Check Sink Running Status​
bin/pulsar-admin sink status \
--tenant public \
--namespace default \
--name cassandra-test-sink
Example output:
{
"numInstances" : 1,
"numRunning" : 1,
"instances" : [ {
"instanceId" : 0,
"status" : {
"running" : true,
"error" : "",
"numRestarts" : 0,
"numReadFromPulsar" : 0,
"numSystemExceptions" : 0,
"latestSystemExceptions" : [ ],
"numSinkExceptions" : 0,
"latestSinkExceptions" : [ ],
"numWrittenToSink" : 0,
"lastReceivedTime" : 0,
"workerId" : "c-standalone-fw-localhost-8080"
}
} ]
}
Verify the Cassandra Sink​
Now lets produce some messages to the input topic of the Cassandra sink test_cassandra
.
for i in {0..9}; do bin/pulsar-client produce -m "key-$i" -n 1 test_cassandra; done
Inspect the sink running status again. You should be able to see 10 messages are processed by the Cassandra sink.
bin/pulsar-admin sink status \
--tenant public \
--namespace default \
--name cassandra-test-sink
Example output:
{
"numInstances" : 1,
"numRunning" : 1,
"instances" : [ {
"instanceId" : 0,
"status" : {
"running" : true,
"error" : "",
"numRestarts" : 0,
"numReadFromPulsar" : 10,
"numSystemExceptions" : 0,
"latestSystemExceptions" : [ ],
"numSinkExceptions" : 0,
"latestSinkExceptions" : [ ],
"numWrittenToSink" : 10,
"lastReceivedTime" : 1551685489136,
"workerId" : "c-standalone-fw-localhost-8080"
}
} ]
}
Finally, lets inspect the results in Cassandra using cqlsh
docker exec -ti cassandra cqlsh localhost
Select the rows from the Cassandra table pulsar_test_table
:
cqlsh> use pulsar_test_keyspace;
cqlsh:pulsar_test_keyspace> select * from pulsar_test_table;
key | col
--------+--------
key-5 | key-5
key-0 | key-0
key-9 | key-9
key-2 | key-2
key-1 | key-1
key-3 | key-3
key-6 | key-6
key-7 | key-7
key-4 | key-4
key-8 | key-8
Delete the Cassandra Sink​
bin/pulsar-admin sink delete \
--tenant public \
--namespace default \
--name cassandra-test-sink