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  • Example
  • Flink application
  • Table Config

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  1. Basics
  2. Import Data
  3. Batch Ingestion

Flink

Batch ingestion of data into Apache Pinot using Apache Flink.

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Pinot supports Apache Flink as a processing framework to push segment files to the database.

Pinot distribution contains an Apache Flink that can be used as part of the Apache Flink application (Streaming or Batch) to directly write into a designated Pinot database.

Example

Flink application

Here is an example code snippet to show how to utilize the in a Flink streaming application:

// some environmental setup
StreamExecutionEnvironment execEnv = StreamExecutionEnvironment.getExecutionEnvironment();
DataStream<Row> srcRows = execEnv.addSource(new FlinkKafkaConsumer<Row>(...));
RowTypeInfo typeInfo = new RowTypeInfo(
  new TypeInformation[]{Types.FLOAT, Types.FLOAT, Types.STRING, Types.STRING},
  new String[]{"lon", "lat", "address", "name"});


// add processing logic for the data stream for example:
DataStream<Row> processedRows = srcRow.keyBy(r -> r.getField(0));
...

// configurations for PinotSinkFunction
Schema pinotSchema = ...
TableConfig pinotTableConfig = ...
processedRows.addSink(new PinotSinkFunction<>(
  new FlinkRowGenericRowConverter(typeInfo), 
  pinotTableConfig,
  pinotSchema);

// execute the program
execEnv.execute();

Table Config

PinotSinkFunction uses mostly the TableConfig object to infer the batch ingestion configuration to start a SegmentWriter and SegmentUploader to communicate with the Pinot cluster.

Note that even though in the above example Flink application is running in streaming mode, the data is still batch together and flush/upload to Pinot once the flush threshold is reached. It is not a direct streaming write into Pinot.

Here is an example table config

{
  "tableName" : "tbl_OFFLINE",
  "tableType" : "OFFLINE",
  "segmentsConfig" : {
    // ...
  },
  "tenants" : {
    // ...
  },
  "tableIndexConfig" : {
    // ....
  },
  "ingestionConfig": {
    "batchIngestionConfig": {
      "segmentIngestionType": "APPEND",
      "segmentIngestionFrequency": "HOURLY", 
      "batchConfigMaps": [
        {
          "outputDirURI": "file://path/to/flink/segmentwriter/output/dir",
          "overwriteOutput": "false",
          "push.controllerUri": "https://target.pinot.cluster.controller.url"
        }
      ]
    }
  }
}

the only required configurations are:

  • "outputDirURI": where PinotSinkFunction should write the constructed segment file to

  • "push.controllerUri": which Pinot cluster (controller) URL PinotSinkFunction should communicate with.

The rest of the configurations are standard for any Pinot table.

As in the example shown above, the only required information from the Pinot side is the table and the table .

For a more detailed executable, refer to the .

SinkFunction
PinotSinkFunction
schema
config
quick start example