kafka-connect-elasticsearch-source

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

kafka-connect-elasticsearch-source

(★ 74)

Kafka Connect Elasticsearch Source

kafka-connect-elasticsearch-source 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Kafka-connect-elasticsearch-source

[![YourActionName Actions Status](https://github.com/DarioBalinzo/kafka-connect-elasticsearch-source/workflows/Java%20CI%20with%20Maven/badge.svg)](https://github.com/DarioBalinzo/kafka-connect-elasticsearch-source/actions)

Kafka Connect Elasticsearch Source: fetch data from elastic-search and sends it to kafka. The connector fetches only new
data using a strictly incremental / temporal field (like a timestamp or an incrementing id). It supports dynamic schema
and nested objects/ arrays.

## Requirements:

- Elasticsearch 6.x and 7.x
- Java >= 8
- Maven

## Output data serialization format:

The connector uses kafka-connect schema and structs, that are agnostic regarding the user serialization method (e.g. it
might be Avro or json, etc...).

## Bugs or new Ideas?

- Issues tracker: https://github.com/DarioBalinzo/kafka-connect-elasticsearch-source/issues
- Feel free to open an issue to discuss new ideas (or propose new solutions with a PR).

## Installation:

Compile the project with:

```bash
mvn clean package -DskipTests
```

You can also compile and running both unit and integration tests (docker is mandatory) with:

```bash
mvn clean package
```

Copy the jar with dependencies from the target folder into connect classpath (
e.g ``/usr/share/java/kafka-connect-elasticsearch`` ) or set ``plugin.path`` parameter appropriately.

## Example

Using kafka connect in distributed way, a sample config file to fetch ``my_awesome_index*`` indices and to produce
output topics with ``es_`` prefix:

```json
{       
  "name": "elastic-source",
   "config": {
             "connector.class":"com.github.dariobalinzo.ElasticSourceConnector",
             "tasks.max": "1",
             "es.host" : "localhost",
             "es.port" : "9200",
             "index.prefix" : "my_awesome_index",
             "topic.prefix" : "es_",
             "incrementing.field.name" : "@timestamp"
        }
}
```

To start the connector with curl:

```bash
curl -X POST -H "Content-Type: application/json" --data @config.json http://localhost:8083/connectors | jq
  ```

To check the status:

```bash
curl localhost:8083/connectors/elastic-source/status | jq
  ```

To stop the connector:

```bash
curl -X DELETE localhost:8083/connectors/elastic-source | jq
```

## Documentation

### Elasticsearch Configuration

``es.host``
ElasticSearch host. Optionally it is possible to specify many hosts using ``;`` as separator (``host1;host2;host3``)

* Type: string
* Importance: high
* Dependents: ``index.prefix``

``es.port``
ElasticSearch port

* Type: string
* Importance: high
* Dependents: ``index.prefix``

``es.scheme``
ElasticSearch scheme (http/https)

* Type: string
* Importance: medium
* Default: ``http``

``es.user``
Elasticsearch username

* Type: string
* Default: null
* Importance: high

``es.password``
Elasticsearch password

* Type: password
* Default: null
* Importance: high

``incrementing.field.name``
The name of the strictly incrementing field to use to detect new records.

* Type: any
* Importance: high

``incrementing.secondary.field.name``
In case the main incrementing field may have duplicates, 
this secondary field is used as a secondary sort field in order 
to avoid data losses when paginating (available starting from versions >= 1.4).

* Type: any
* Importance: low

``es.tls.truststore.location``
Elastic ssl truststore location

* Type: string
* Importance: medium

``es.tls.truststore.password``
Elastic ssl truststore password

* Type: string
* Default: ""
* Importance: medium

``es.tls.keystore.location``
Elasticsearch keystore location

* Type: string
* Importance: medium

``es.tls.keystore.password``
Elasticsearch keystore password

* Type: string
* Default: ""
* Importance: medium

``connection.attempts``
Maximum number of attempts to retrieve a valid Elasticsearch connection.

* Type: int
* Default: 3
* Importance: low

``connection.backoff.ms``
Backoff time in milliseconds between connection attempts.

* Type: long
* Default: 10000
* Importance: low

``index.prefix``
Indices prefix to include in copying. 
Periodically, new indices are discovered if they match the pattern.

* Type: string
* Default: ""
* Importance: medium

``index.names``
List of elasticsearch indices: `es1,es2,es3`

* Type: string
* Default: null
* Importance: medium

### Connector Configuration

``poll.interval.ms``
Frequency in ms to poll for new data in each index.

* Type: int
* Default: 5000
* Importance: high

``batch.max.rows``
Maximum number of documents to include in a single batch when polling for new data.

* Type: int
* Default: 10000
* Importance: low

``topic.prefix``
Prefix to prepend to index names to generate the name of the Kafka topic to publish data

* Type: string
* Importance: high

``filters.whitelist``
Whitelist filter for extracting a subset of fields from elastic-search json documents. The whitelist filter supports
nested fields. To provide multiple fields use `;` as separator
(e.g. `customer;order.qty;order.price`).

* Type: string
* Importance: medium
* Default: null

``filters.blacklist``
Blacklist filter for extracting a subset of fields from elastic-search json documents. The blacklist filter supports
nested fields. To provide multiple fields use `;` as separator
(e.g. `customer;order.qty;order.price`).

* Type: string
* Importance: medium
* Default: null

``filters.json_cast``
This filter casts nested fields to json string, avoiding parsing recursively as kafka connect-schema. The json-cast
filter supports nested fields. To provide multiple fields use `;` as separator
(e.g. `customer;order.qty;order.price`).

* Type: string
* Importance: medium
* Default: null

``fieldname_converter``
Configuring which field name converter should be used (allowed values: `avro` or `nop`). By default, the avro field name
converter renames the json fields non respecting the avro
specifications (https://avro.apache.org/docs/current/spec.html#names)
in order to be serialized correctly. To disable the field name conversion set this parameter to `nop`.

* Type: string
* Importance: medium
* Default: avro

kafka-connect-elasticsearch-source

kafka-connect-elasticsearch-source 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

kafka-connect-elasticsearch-source

kafka-connect-elasticsearch-source 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README