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Version: 1.10.0

Pulsar Example

Here we use an example to introduce how to create File -> Pulsar -> ClickHouse data ingestion.


Install InLong

Before we begin, we need to install InLong. Here we provide two ways:

Install ClickHouse

docker run -d --rm --net=host --name clickhouse -e CLICKHOUSE_USER=admin -e CLICKHOUSE_PASSWORD=inlong -e CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT=1 clickhouse/clickhouse-server:22.8

Cluster Initialize

When all containers are successfully started, you can access the InLong dashboard address http://localhost, and use the following default account to log in.

User: admin
Password: inlong

Create Cluster Tag

Click [Clusters] -> [ClusterTags] -> [Create] on the page to specify the cluster label name and person in charge. Create Cluster label


Since each component reports the ClusterTags as default_cluster by default, do not use other names.

Register Pulsar Cluster

Click [Clusters] -> [ClusterTags] -> [Create] on the page to register Pulsar Cluster. pulsar cluster


The ClusterTags selects the newly created default_cluster, the Pulsar cluster deployed by docker:

Service URL is pulsar://pulsar:6650, Admin URL is http://pulsar:8080.

Register Clickhouse DataNodes

Click [DataNodes] -> [Create] on the page to register ClickHouse DataNodes. Create kafka cluster

Create Task

Create Data Streams Group

Click [Ingestion] -> [Create], inpit ID and select Pulsar Type. Create datastream


If you want to use Kafka, you need to modify the MQ_TYPE in docker-compose.yml

Create Data Stream

Click [Next] -> [Create], config data stream. Create datastream

Create Data Source

Click [Sources create] -> [File], config data source informations. Create datastream

Create Data Sink

Click [Sinks create] -> [ClickHouse], input Name, DbName, TableName and select created ck DataNode and so on, then click [save]. Create data object

Approve Data Stream

Click [Approval] -> [MyApproval] -> [Detail] -> [Select Cluster tag] -> [Ok]. clickhouse

Back to [Ingestion] page, wait for [configuration success]. clickhouse

Test Data

Enter Agent Container

docker exec -it agent /bin/bash

Send Data

# collect file /data/collect-data/test.log data source configuration path and total of 10000 data packets are sent.
for i in {1..10000};do echo "name_$i | $i" >> /data/collect-data/test.log;done

Verify Data

Check data in [Audit] page. clickhouse

Then enter ClickHouse container, check data in table. clickhouse


"specify container image platform" when start Docker Compose

The API is incompatible, you can delete platform: "linux/x86_64" in docker-compose.

Task Configuration Failed

Generally, the MQ or Flink group configuration is incorrect. You can view the error information on the page, or enter the Manager container to view detailed logs.