Kafka Connect for Hbase

A Sink connector to write to HBase.
This is enhanced version of implementation available at https://github.com/mravi/hbase-connect-kafka

Features

Sink supports:

Avro and JSON data format.
Writing data to one or multiple column families in HBase Table
Kafka payload field selection for each column family. In case of single column family, all columns are written to that column family. So no mapping definition is required.
Row key selection

Pre-requisites

Confluent 4.0
Kafka 1.0.0
HBase 1.4.0
JDK 1.8

Assumptions

The HBase table already exists.
Column Families are already created in HBase table
Each Kafka topic is mapped to a HBase table. (In version 1.0.1. implementation is changed- It requires hbase.table.name property to be set.)

Properties

Below are the properties that need to be passed in the configuration file:

name	data type	required	description
zookeeper.quorum	string	yes	Zookeeper quorum of the HBase cluster
event.parser.class	string	yes	Can be either AvroEventParser or JsonEventParser to parse avro or json events respectively.
topics	string	yes	list of kafka topics.
hbase.table.name	string	yes	name of hbase table
hbase.`<tablename>`.rowkey.columns	string	yes	The columns that represent the rowkey of the hbase table `<tablename>`
hbase.`<tablename>`.family	string	yes	Comma seperated column families of the hbase table `<tablename>`. It can be one or more than one
hbase.`<tablename>`.`<columnfamily>`.columns	string	No	Required only if more than one column family are defined in previous configuration. Column names are comma seperated`. It can be one or more than one

Example connector.properties file

name=kafka-cdc-hbase
connector.class=io.svectors.hbase.sink.HBaseSinkConnector
tasks.max=1
topics=test
zookeeper.quorum=localhost:2181
event.parser.class=io.svectors.hbase.parser.AvroEventParser
hbase.table.name=destTable
hbase.destTable.rowkey.columns=id
hbase.destTable.rowkey.delimiter=|
hbase.destTable.family=c,d
hbase.destTable.c.columns=c1,c2
hbase.destTable.d.columns=d1,d2

Packaging

mvn clean package

Deployment

Follow the Getting started guide for HBase.
Download and install Confluent
Add hbase-site.xml to hbase-sink.jar classpath

			jar -uvf <hbase-sink.jar> hbase-site.xml

Copy hbase-sink.jar and hbase-sink.properties from the project build location to $CONFLUENT_HOME/share/java/kafka-connect-hbase

mkdir $CONFLUENT_HOME/share/java/kafka-connect-hbase
cp target/hbase-sink.jar  $CONFLUENT_HOME/share/java/kafka-connect-hbase/
cp hbase-sink.properties $CONFLUENT_HOME/share/java/kafka-connect-hbase/

Start Zookeeper, Kafka and Schema registry

nohup $CONFLUENT_HOME/bin/zookeeper-server-start $CONFLUENT_HOME/etc/kafka/zookeeper.properties &
nohup $CONFLUENT_HOME/bin/kafka-server-start $CONFLUENT_HOME/etc/kafka/server.properties &
nohup $CONFLUENT_HOME/bin/schema-registry-start $CONFLUENT_HOME/etc/schema-registry/schema-registry.properties &"

Create HBase table 'destTable' from hbase shell
Start the hbase sink

export CLASSPATH=$CONFLUENT_HOME/share/java/kafka-connect-hbase/hbase-sink.jar

$CONFLUENT_HOME/bin/connect-standalone etc/schema-registry/connect-avro-standalone.properties etc/kafka-connect-hbase/hbase-sink.properties

Test with avro console, start the console to create the topic and write values

$CONFLUENT_HOME/bin/kafka-avro-console-producer \
--broker-list localhost:9092 --topic test \
--property value.schema='{"type":"record","name":"record","fields":[{"name":"id","type":"int"}, {"name":"name", "type": "string"}]}'

#insert at prompt
{"id": "1", "name": "foo"}
{"id": "2", "name": "bar"}

Same can be run with Apache Kafka scripts.

$KAFKA_HOME/bin/connect-standalone.sh config/connect-standalone.properties config/hbase-sink.properties

For JSON data, use JSONConverter in connect-standalone.properties file. If key and value contain schema and payload, set schema.enable to true, else false.

Example data [with schema]:

{"schema":{"type":"struct","fields":[{"type":"string","optional":false,"field":"firstName"},{"type":"string","optional":false,"field":"lastName"},{"type":"string","optional":false,"field":"email"},{"type":"int32","optional":false,"field":"age"},{"type":"int32","optional":false,"field":"weightInKgs"}],"optional":false,"name":"Person"},"payload":{"firstName":"Jan","lastName":"Peter","email":"eric.cartman@southpark.com","age":10,"weightInKgs":40}}

[without schema]:

{"firstName":"Jan","lastName":"Peter","email":"eric.cartman@southpark.com","age":10,"weightInKgs":40}

Changes

v1.0.1

Earlier limitation "kafka topic and table name should be same" has been removed. Table name can be set using hbase.table.name property
Upgraded to Kafka 2.0.0 and Confluent 5.0.0

v1.0.0

Initial version
Support with Kafka 1.0.0 and Confluent 4.0.0

baunz/kafka-connect-hbase