The Kafka River plugin allows index bulk format messages into elasticsearch.
Download & Build Kafka
See Apacke Kafka Quick Start Guide for instructions on how to Download and Build.
If you are installing on an encyrpted Ubuntu drive you may get "File name too long" error during the build. This can be solved by building on an unencrypted file system and moving the files to your desired install point.
install kafka in your maven repo:
mvn install:install-file -Dfile=./core/target/scala_2.8.0/kafka-0.7.2.jar -DgroupId=org.apache.kafka \
-DartifactId=kafka -Dversion=0.7.2 -Dpackaging=jarBuild this plugin:
mvn compile test package
# this will create a file here: target/releases/elasticsearch-river-kafka-1.0.1-SNAPSHOT.zip
PLUGIN_PATH=`pwd`/target/releases/elasticsearch-river-kafka-1.0.1-SNAPSHOT.zipInstall the PLUGIN
cd $ELASTICSEARCH_HOME
./bin/plugin -url file:/$PLUGIN_PATH -install elasticsearch-river-kafkaUpdating the plugin
cd $ELASTICSEARCH_HOME
./bin/plugin -remove elasticsearch-river-kafka
./bin/plugin -url file:/$PLUGIN_PATH -install elasticsearch-river-kafkaElasticSearch version 0.90.0
Creating the Kafka river is as simple as (all configuration parameters are provided, with default values):
bulk_size_bytes - max size of messages to pull from Kafka each request
bulk_timeout - socket timeout for Kafka
curl -XPUT 'localhost:9200/_river/my_kafka_river_0/_meta' -d '{
"type" : "kafka",
"kafka" : {
"broker_host" : "localhost",
"message_handler_factory_class" : "org.elasticsearch.river.kafka.JsonMessageHandlerFactory",
"zookeeper" : "localhost",
"topic" : "my_topic",
"partition" : "0",
"broker_port" : 9092
},
"index" : {
"bulk_size_bytes" : 10000000,
"bulk_timeout" : "1000ms"
},
"statsd":{
"prefix": "es-kafka-river",
"host": "ambassador",
"port": "8125"
}
}'Kafka offsets are stored in zookeeper.
NOTE: in its current form, this River only reads from a single broker and a single partition. This will likely change in the future. In order to consume from multiple partitions and multiple brokers, multiple rivers need to be configured.
curl -XPUT 'localhost:9200/_river/my_kafka_river_0/_meta' -d '{
"type" : "kafka",
"kafka" : {
"broker_host" : "localhost",
"message_handler_factory_class" : "org.elasticsearch.river.kafka.JsonMessageHandlerFactory",
"zookeeper" : "localhost",
"topic" : "my_topic",
"partition" : "0",
"broker_port" : 9092
},
"index" : {
"bulk_size_bytes" : 10000000,
"bulk_timeout" : "1000ms"
},
"statsd":{
"prefix": "es-kafka-river",
"host": "ambassador",
"port": "8125"
}
}'
curl -XPUT 'localhost:9200/_river/my_kafka_river_1/_meta' -d '{
"type" : "kafka",
"kafka" : {
"broker_host" : "localhost",
"message_handler_factory_class" : "org.elasticsearch.river.kafka.JsonMessageHandlerFactory",
"zookeeper" : "localhost",
"topic" : "my_topic",
"partition" : "1",
"broker_port" : 9092
},
"index" : {
"bulk_size_bytes" : 10000000,
"bulk_timeout" : "1000ms"
},
"statsd":{
"prefix": "es-kafka-river",
"host": "ambassador",
"port": "8125"
}
}'
curl -XPUT 'localhost:9200/_river/my_kafka_river_2/_meta' -d '{
"type" : "kafka",
"kafka" : {
"broker_host" : "localhost",
"message_handler_factory_class" : "org.elasticsearch.river.kafka.JsonMessageHandlerFactory",
"zookeeper" : "localhost",
"topic" : "my_topic",
"partition" : "2",
"broker_port" : 9092
},
"index" : {
"bulk_size_bytes" : 10000000,
"bulk_timeout" : "1000ms"
},
"statsd":{
"prefix": "es-kafka-river",
"host": "ambassador",
"port": "8125"
}
}'
curl -XPUT 'localhost:9200/_river/my_kafka_river_3/_meta' -d '{
"type" : "kafka",
"kafka" : {
"broker_host" : "localhost",
"message_handler_factory_class" : "org.elasticsearch.river.kafka.JsonMessageHandlerFactory",
"zookeeper" : "localhost",
"topic" : "my_topic",
"partition" : "3",
"broker_port" : 9092
},
"index" : {
"bulk_size_bytes" : 10000000,
"bulk_timeout" : "1000ms"
},
"statsd":{
"prefix": "es-kafka-river",
"host": "ambassador",
"port": "8125"
}
}'The river is automatically bulking queue messages if the queue is overloaded, allowing for faster catchup with the
messages streamed into the queue. The ordered flag allows to make sure that the messages will be indexed in the
same order as they arrive in the query by blocking on the bulk request before picking up the next data to be indexed.
It can also be used as a simple way to throttle indexing.
If message_handler_factory_class is not set it will use the JsonMessageHandlerFactory and will expect json messages from Kafka with this format:
{
"index" : "example_index",
"type" : "example_type",
"id" : "asdkljflkasjdfasdfasdf",
"source" : { ..... }
} elasticsearch-river-kafka
Copyright 2013 Endgame, Inc.
This product includes software plugin developed for ElasticSearch and Shay Banon – Elasticsearch
Inspiration was taken from David Pilato and his ElasticSearch Rabbit MQ Plugin
https://github.com/elasticsearch/elasticsearch-river-rabbitmq
Licensed under the Apache License, Version 2.0 (the "License"); you may
not use this file except in compliance with the License. You may obtain
a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.