This guide will help you set up WarpStream, ingest data into RisingWave, and create and query a materialized view in RisingWave.

​
Set up WarpStream

​
Install WarpStream Agent

To interact with the WarpStream cluster, install the WarpStream Agent or CLI:

curl https://console.warpstream.com/install.sh | bash

​
Create a Kafka topic and produce sample data

After the installation, run the following commands in the terminal:

  • Initiate WarpStream playground:
warpstream playground
  • Generate a Kafka topic with fake click stream data:
warpstream demo

​
Ingest data into RisingWave

​
Create a source

In RisingWave, create a source named “website_visits” to connect RisingWave to the WarpStream topic:

CREATE SOURCE IF NOT EXISTS website_visits_stream (
 timestamp timestamp,
 user_id varchar,
 page_id varchar,
 action varchar
 )
WITH (
 connector='kafka',
 topic='demo-stream',
 properties.bootstrap.server='localhost:9092',
 scan.startup.mode='earliest'
 ) ROW FORMAT JSON;

​
Create a materialized view

In RisingWave, create a materialized view that offers insights into user behavior on different pages for analyzing website traffic and engagement.

CREATE MATERIALIZED VIEW visits_stream_mv AS
SELECT page_id,
count(*) AS total_visits,
count(DISTINCT user_id) AS unique_visitors,
max(timestamp) AS last_visit_time
FROM website_visits_stream
GROUP BY page_id;

​
Query the materialized view

Let’s retrieve data from the created materialized view:

SELECT * FROM visits_stream_mv;

Expected result:


 page_id | total_visits | unique_visitors |   last_visit_time
---------+--------------+-----------------+---------------------
 page_0  |            2 |               2 | 2023-07-26 19:03:08
 page_4  |            9 |               9 | 2023-07-26 19:03:00
 page_8  |            9 |               9 | 2023-07-26 19:02:57
 page_3  |           14 |              14 | 2023-07-26 19:03:09
 page_7  |            4 |               4 | 2023-07-26 19:02:52
 page_1  |            7 |               6 | 2023-07-26 19:02:55
 page_5  |            9 |               9 | 2023-07-26 19:03:01
 page_9  |           12 |              12 | 2023-07-26 19:02:48
 page_2  |            4 |               4 | 2023-07-26 19:02:58
 page_6  |            7 |               6 | 2023-07-26 19:03:03

You have successfully ingested data from WarpStream into RisingWave, created a materialized view, and queried it in RisingWave.

This guide will help you set up WarpStream, ingest data into RisingWave, and create and query a materialized view in RisingWave.

​
Set up WarpStream

​
Install WarpStream Agent

To interact with the WarpStream cluster, install the WarpStream Agent or CLI:

curl https://console.warpstream.com/install.sh | bash

​
Create a Kafka topic and produce sample data

After the installation, run the following commands in the terminal:

  • Initiate WarpStream playground:
warpstream playground
  • Generate a Kafka topic with fake click stream data:
warpstream demo

​
Ingest data into RisingWave

​
Create a source

In RisingWave, create a source named “website_visits” to connect RisingWave to the WarpStream topic:

CREATE SOURCE IF NOT EXISTS website_visits_stream (
 timestamp timestamp,
 user_id varchar,
 page_id varchar,
 action varchar
 )
WITH (
 connector='kafka',
 topic='demo-stream',
 properties.bootstrap.server='localhost:9092',
 scan.startup.mode='earliest'
 ) ROW FORMAT JSON;

​
Create a materialized view

In RisingWave, create a materialized view that offers insights into user behavior on different pages for analyzing website traffic and engagement.

CREATE MATERIALIZED VIEW visits_stream_mv AS
SELECT page_id,
count(*) AS total_visits,
count(DISTINCT user_id) AS unique_visitors,
max(timestamp) AS last_visit_time
FROM website_visits_stream
GROUP BY page_id;

​
Query the materialized view

Let’s retrieve data from the created materialized view:

SELECT * FROM visits_stream_mv;

Expected result:


 page_id | total_visits | unique_visitors |   last_visit_time
---------+--------------+-----------------+---------------------
 page_0  |            2 |               2 | 2023-07-26 19:03:08
 page_4  |            9 |               9 | 2023-07-26 19:03:00
 page_8  |            9 |               9 | 2023-07-26 19:02:57
 page_3  |           14 |              14 | 2023-07-26 19:03:09
 page_7  |            4 |               4 | 2023-07-26 19:02:52
 page_1  |            7 |               6 | 2023-07-26 19:02:55
 page_5  |            9 |               9 | 2023-07-26 19:03:01
 page_9  |           12 |              12 | 2023-07-26 19:02:48
 page_2  |            4 |               4 | 2023-07-26 19:02:58
 page_6  |            7 |               6 | 2023-07-26 19:03:03

You have successfully ingested data from WarpStream into RisingWave, created a materialized view, and queried it in RisingWave.