'How to Use Materialize and Redpanda to Analyze Raspberry Pi Temperature Data' by bobbyiliev_ materialize redpanda
Example 3: Create a view to show the average temperature of each separate sensor:Let's again query thename | temp --------------+-------------------- raspberry-1 | 58.60756530123859 raspberry-2 | 58.95694631912029 raspberry-3 | 58.628198038515066 raspberry-4 | 59.40673999174753 raspberry-5 | 59.079367226960734 raspberry-6 | 58.96244838239402 raspberry-7 | 58.4658871719401 raspberry-8 | 58.9830811196705 raspberry-9 | 59.398486896836936 raspberry-10 | 59.669463513068024 Time: 2.
Let's create a materialized view, that will hold all of the devices with an average temperature of more than 60 celsius:If you were to do aon this new materialized view, it would return only the devices with an average temperature of above 60 celsius:Let's create a Sink where we will send the data of the above materialized view:
CREATE SINK high_temperature_sink FROM mz_high_temperature INTO KAFKA BROKER 'redpanda:9092' TOPIC 'high-temperature-sink' FORMAT AVRO USING CONFLUENT SCHEMA REGISTRY 'http://redpanda:8081';command, you will be able to read the records from the topic.because it’s AVRO formatted. Redpanda would most likely implement this in the future, but for the moment, we can actually stream the topic back into Materialize to confirm the format.
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