Elasticsearch Sink
The sink reads events from a channel, serializes them into json documents and batches them into a bulk processor. Bulk processor batches the writes to elasticsearch as per configuration.
The elasticsearch index and type for each event can be defined statically in the configuration file or can be derived dynamically using a custom IndexBuilder.
By default, events are assumed to be in json format. This assumption can be overridden by implementing the Serializer interface.
Follow these steps to use this sink in Apache flume:
- Build the plugin. This command will create the zip file inside the target directory.
mvn clean assembly:assembly
-
Extract the file into the flume installation directories plugin.d folder.
-
Configure the sink in the flume configuration file with properties as below
Required properties are in bold.
| Property Name | Default | Description |
|---|---|---|
| channel | - | |
| type | - | The component type name, has to be com.cognitree.flume.sink.elasticsearch.ElasticSearchSink |
| es.cluster.name | elasticsearch | Name of the elasticsearch cluster to connect to |
| es.client.hosts | - | Comma separated hostname:port pairs ex: host1:9300,host2:9300. The default port is 9300 |
| es.bulkActions | 1000 | The number of actions to batch into a request |
| es.bulkProcessor.name | flume | Name of the bulk processor |
| es.bulkSize | 5 | Flush the bulk request every mentioned size |
| es.bulkSize.unit | MB | Bulk request unit, supported values are KB and MB |
| es.concurrent.request | 1 | The maximum number of concurrent requests to allow while accumulating new bulk requests |
| es.flush.interval.time | 10s | Flush a batch as a bulk request every mentioned seconds irrespective of the number of requests |
| es.backoff.policy.time.interval | 50M | Backoff policy time interval, wait initially for the 50 miliseconds |
| es.backoff.policy.retries | 8 | Number of backoff policy retries |
| es.index | default | Index name to be used to store the documents |
| es.type | default | Type to be used to store the documents |
| es.index.builder | com.cognitree. flume.sink. elasticsearch. StaticIndexBuilder |
Implementation of com.cognitree.flume.sink.elasticsearch.IndexBuilder interface |
| es.serializer | com.cognitree. flume.sink. elasticsearch. SimpleSerializer |
Implementation of com.cognitree.flume.sink.elasticsearch.Serializer interface |
| es.serializer.csv.fields | - | Comma separated csv field name with data type i.e. column1:type1,column2:type2, Supported data types are string, boolean, int and float |
| es.serializer.csv.delimiter | ,(comma) | Delimiter for the data in flume event body |
| es.serializer.avro.schema.file | - | Absolute path for the schema configuration file |
Example of agent named agent
agent.channels = es_channel
agent.sinks = es_sink
agent.sinks.es_sink.type=com.cognitree.flume.sink.elasticsearch.ElasticSearchSink
agent.sinks.es_sink.es.bulkActions=5
agent.sinks.es_sink.es.bulkProcessor.name=bulkprocessor
agent.sinks.es_sink.es.bulkSize=5
agent.sinks.es_sink.es.bulkSize.unit=MB
agent.sinks.es_sink.es.concurrent.request=1
agent.sinks.es_sink.es.flush.interval.time=5m
agent.sinks.es_sink.es.backoff.policy.time.interval=50M
agent.sinks.es_sink.es.backoff.policy.retries=8
agent.sinks.es_sink.es.cluster.name=es-cluster
agent.sinks.es_sink.es.client.hosts=127.0.0.1:9300
agent.sinks.es_sink.es.index=defaultindex
agent.sinks.es_sink.es.index.builder=com.cognitree.flume.sink.elasticsearch.HeaderBasedIndexBuilder
agent.sinks.es_sink.es.serializer=com.cognitree.flume.sink.elasticsearch.SimpleSerializer
agent.sinks.es_sink.es.serializer.csv.fields=id:int,name:string,isemployee:boolean,leaves:float
agent.sinks.es_sink.es.serializer.csv.delimiter=,
agent.sinks.es_sink.es.serializer.avro.schema.file=/usr/local/schema.avsc