Druid

Druid sink connector

Description

Write data to Apache Druid.

提示

Engine Supported and plugin name

• Spark
• Flink: Druid

Options

name	type	required	default value
coordinator_url	String	yes	-
datasource	String	yes	-
timestamp_column	String	no	timestamp
timestamp_format	String	no	auto
timestamp_missing_value	String	no	-
parallelism	Int	no	-

coordinator_url [String]

The URL of Coordinator service in Apache Druid.

datasource [String]

The DataSource name in Apache Druid.

timestamp_column [String]

The timestamp column name in Apache Druid, the default value is timestamp.

timestamp_format [String]

The timestamp format in Apache Druid, the default value is auto, it could be:

• iso

  • ISO8601 with 'T' separator, like "2000-01-01T01:02:03.456"

• posix

  • seconds since epoch

• millis

  • milliseconds since epoch

• micro

  • microseconds since epoch

• nano

  • nanoseconds since epoch

• auto

  • automatically detects ISO (either 'T' or space separator) or millis format

• any Joda DateTimeFormat string

timestamp_missing_value [String]

The timestamp missing value in Apache Druid, which is used for input records that have a null or missing timestamp. The value of timestamp_missing_value should be in ISO 8601 format, for example "2022-02-02T02:02:02.222".

parallelism [Int]

The parallelism of an individual operator, for DruidSink

Example

Simple

DruidSink {
  coordinator_url = "http://localhost:8081/"
  datasource = "wikipedia"
}

Specified timestamp column and format

DruidSink {
  coordinator_url = "http://localhost:8081/"
  datasource = "wikipedia"
  timestamp_column = "timestamp"
  timestamp_format = "auto"
}

Specified timestamp column, format and missing value

DruidSink {
  coordinator_url = "http://localhost:8081/"
  datasource = "wikipedia"
  timestamp_column = "timestamp"
  timestamp_format = "auto"
  timestamp_missing_value = "2022-02-02T02:02:02.222"
}